Containers

Vectors, second- to fourth-order tensors, and general matrices, with static (compile-time) or dynamic storage. More...

Namespaces
namespace	minitensor

Classes
class	minitensor::Matrix< T, M, N >
struct	minitensor::dimension_const< N, C >
	Set to constant value if not dynamic. More...
struct	minitensor::dimension_const< DYNAMIC, C >
struct	minitensor::check_static< D >
	Validate dimension. More...
struct	minitensor::dimension_power< D, O >
	Integer power template restricted to orders defined below. More...
struct	minitensor::dimension_power< D, 1 >
struct	minitensor::dimension_power< D, 2 >
struct	minitensor::dimension_power< D, 3 >
struct	minitensor::dimension_power< D, 4 >
struct	minitensor::dimension_square< N >
	Integer square for manipulations between 2nd and 4rd-order tensors. More...
struct	minitensor::dimension_square< DYNAMIC >
struct	minitensor::dimension_square< 1 >
struct	minitensor::dimension_square< 2 >
struct	minitensor::dimension_square< 3 >
struct	minitensor::dimension_square< 4 >
struct	minitensor::dimension_sqrt< N >
struct	minitensor::dimension_sqrt< DYNAMIC >
struct	minitensor::dimension_sqrt< 1 >
struct	minitensor::dimension_sqrt< 4 >
struct	minitensor::dimension_sqrt< 9 >
struct	minitensor::dimension_sqrt< 16 >
struct	minitensor::dimension_add< N, P >
	Manipulation of static and dynamic dimensions. More...
struct	minitensor::dimension_add< DYNAMIC, P >
struct	minitensor::dimension_subtract< N, P >
struct	minitensor::dimension_subtract< DYNAMIC, P >
struct	minitensor::dimension_product< N, P >
struct	minitensor::dimension_product< N, DYNAMIC >
struct	minitensor::dimension_product< DYNAMIC, P >
struct	minitensor::dimension_product< DYNAMIC, DYNAMIC >
class	minitensor::Storage< T, N >
class	minitensor::Storage< T, DYNAMIC >
class	minitensor::Tensor< T, N >
class	minitensor::Tensor3< T, N >
class	minitensor::Tensor4< T, N >
class	minitensor::TensorBase< T, ST >
class	minitensor::Vector< T, N >
	The classes. More...

Typedefs
template<typename T , Index M, Index N>
using	minitensor::matrix_store = Storage< T, dimension_product< M, N >::value >
using	minitensor::Matrix< T, M, N >::Store = matrix_store< T, M, N >
using	minitensor::Storage< T, N >::value_type = T
using	minitensor::Storage< T, N >::pointer_type = T *
using	minitensor::Storage< T, N >::reference_type = T &
using	minitensor::Storage< T, N >::const_pointer_type = T const *
using	minitensor::Storage< T, N >::const_reference_type = T const &
using	minitensor::Storage< T, DYNAMIC >::value_type = T
using	minitensor::Storage< T, DYNAMIC >::pointer_type = T *
using	minitensor::Storage< T, DYNAMIC >::reference_type = T &
using	minitensor::Storage< T, DYNAMIC >::const_pointer_type = T const *
using	minitensor::Storage< T, DYNAMIC >::const_reference_type = T const &
template<typename T , Index N>
using	minitensor::tensor_store = Storage< T, dimension_power< N, 2 >::value >
using	minitensor::Tensor< T, N >::Store = tensor_store< T, N >
template<typename T , Index N>
using	minitensor::tensor3_store = Storage< T, dimension_power< N, 3 >::value >
using	minitensor::Tensor3< T, N >::Store = tensor3_store< T, N >
template<typename T , Index N>
using	minitensor::tensor4_store = Storage< T, dimension_power< N, 4 >::value >
using	minitensor::Tensor4< T, N >::Store = tensor4_store< T, N >
using	minitensor::TensorBase< T, ST >::value_type = T
using	minitensor::TensorBase< T, ST >::storage_type = ST
template<typename T , Index N>
using	minitensor::vector_store = Storage< T, dimension_power< N, 1 >::value >
using	minitensor::Vector< T, N >::Store = vector_store< T, N >

Enumerations
enum class	minitensor::Filler {   minitensor::Filler::ZEROS , minitensor::Filler::ONES , minitensor::Filler::SEQUENCE , minitensor::Filler::RANDOM ,   minitensor::Filler::RANDOM_UNIFORM , minitensor::Filler::RANDOM_NORMAL , minitensor::Filler::NANS }
enum class	minitensor::ComponentOrder { minitensor::ComponentOrder::CANONICAL , minitensor::ComponentOrder::SIERRA_FULL , minitensor::ComponentOrder::SIERRA_SYMMETRIC }
enum class	minitensor::Source { minitensor::Source::ARRAY }

Functions
static KOKKOS_INLINE_FUNCTION constexpr Index	minitensor::Matrix< T, M, N >::get_order ()
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix ()
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Index const rows, Index const cols)
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Filler const value)
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Index const rows, Index cols, Filler const value)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, ArrayT &data, Index index1)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, ArrayT &data, Index index1, Index index2)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, ArrayT &data, Index index1, Index index2, Index index3)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5, Index index6)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, Index const rows, Index const cols, ArrayT &data, Index index1)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, Index const rows, Index const cols, ArrayT &data, Index index1, Index index2)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, Index const rows, Index const cols, ArrayT &data, Index index1, Index index2, Index index3)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, Index const rows, Index const cols, ArrayT &data, Index index1, Index index2, Index index3, Index index4)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, Index const rows, Index const cols, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Source const source, Index const rows, Index const cols, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5, Index index6)
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Index const rows, Index cols, T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::Matrix (Matrix< T, M, N > const &A)
virtual KOKKOS_INLINE_FUNCTION	minitensor::Matrix< T, M, N >::~Matrix ()
KOKKOS_INLINE_FUNCTION T const &	minitensor::Matrix< T, M, N >::operator() (Index const i, Index const j) const
KOKKOS_INLINE_FUNCTION T &	minitensor::Matrix< T, M, N >::operator() (Index const i, Index const j)
std::pair< Index, Index >	minitensor::Matrix< T, M, N >::get_dimensions () const
KOKKOS_INLINE_FUNCTION Index	minitensor::Matrix< T, M, N >::get_num_rows () const
KOKKOS_INLINE_FUNCTION Index	minitensor::Matrix< T, M, N >::get_num_cols () const
KOKKOS_INLINE_FUNCTION void	minitensor::Matrix< T, M, N >::set_dimensions (Index const rows, Index const cols)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::operator+ (Matrix< S, M, N > const &A, Matrix< T, M, N > const &B)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::operator- (Matrix< S, M, N > const &A, Matrix< T, M, N > const &B)
template<typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< T, M, N >	minitensor::operator- (Matrix< T, M, N > const &A)
template<typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator== (Matrix< T, M, N > const &A, Matrix< T, M, N > const &B)
template<typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator!= (Matrix< T, M, N > const &A, Matrix< T, M, N > const &B)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, M >	minitensor::operator* (Matrix< T, M, N > const &A, Vector< S, N > const &u)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::operator* (Vector< S, M > const &u, Matrix< T, M, N > const &A)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::operator* (Matrix< T, M, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::operator* (Tensor< S, M > const &A, Matrix< T, M, N > const &B)
template<typename S , typename T , Index M, Index P, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::operator* (Matrix< S, M, P > const &A, Matrix< T, P, N > const &B)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_matrix< Promote< S, T >, M, N > >::type	minitensor::operator* (S const &s, Matrix< T, M, N > const &A)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_matrix< Promote< S, T >, M, N > >::type	minitensor::operator* (Matrix< T, M, N > const &A, S const &s)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::operator/ (Matrix< T, M, N > const &A, S const &s)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::operator/ (S const &s, Matrix< T, M, N > const &A)
template<typename T , Index M, Index N>
std::istream &	minitensor::operator>> (std::istream &is, Matrix< T, M, N > &A)
template<typename T , Index M, Index N>
std::ostream &	minitensor::operator<< (std::ostream &os, Matrix< T, M, N > const &A)
template<typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Vector< T, N >	minitensor::row (Matrix< T, M, N > const &A, Index const i)
template<typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Vector< T, M >	minitensor::col (Matrix< T, M, N > const &A, Index const j)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, M >	minitensor::dot (Matrix< T, M, N > const &A, Vector< S, N > const &u)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::dot (Vector< S, M > const &u, Matrix< T, M, N > const &A)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::dot (Matrix< T, M, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::dot (Tensor< S, M > const &A, Matrix< T, M, N > const &B)
template<typename S , typename T , Index M, Index P, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::dot (Matrix< S, M, P > const &A, Matrix< T, P, N > const &B)
template<typename S , typename T , Index M, Index P, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::t_dot (Matrix< S, P, M > const &A, Matrix< T, P, N > const &B)
template<typename S , typename T , Index M, Index P, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::dot_t (Matrix< S, M, P > const &A, Matrix< T, N, P > const &B)
template<typename S , typename T , Index M, Index P, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::t_dot_t (Matrix< S, P, M > const &A, Matrix< T, N, P > const &B)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Promote< S, T >::type	minitensor::dotdot (Matrix< S, M, N > const &A, Matrix< T, M, N > const &B)
template<typename S , typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N >	minitensor::matrix (Vector< S, M > const &u, Vector< T, N > const &v)
template<typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< T, M, N >	minitensor::transpose (Matrix< T, N, M > const &A)
template<typename T , Index M, Index N>
KOKKOS_INLINE_FUNCTION Matrix< T, M, N >	minitensor::adjoint (Matrix< T, N, M > const &A)
template<typename Store >
void	minitensor::check_dynamic (Index const dimension)
KOKKOS_INLINE_FUNCTION	minitensor::Storage< T, N >::Storage ()
KOKKOS_INLINE_FUNCTION	minitensor::Storage< T, N >::Storage (Index const number_entries)
	minitensor::Storage< T, N >::Storage (Storage< T, N > const &s)=delete
Storage< T, N > &	minitensor::Storage< T, N >::operator= (Storage< T, N > const &s)=delete
KOKKOS_INLINE_FUNCTION	minitensor::Storage< T, N >::~Storage ()
KOKKOS_INLINE_FUNCTION T const &	minitensor::Storage< T, N >::operator[] (Index const i) const
KOKKOS_INLINE_FUNCTION T &	minitensor::Storage< T, N >::operator[] (Index const i)
KOKKOS_INLINE_FUNCTION Index	minitensor::Storage< T, N >::size () const
KOKKOS_INLINE_FUNCTION void	minitensor::Storage< T, N >::resize (Index const number_entries)
KOKKOS_INLINE_FUNCTION void	minitensor::Storage< T, N >::clear ()
KOKKOS_INLINE_FUNCTION pointer_type	minitensor::Storage< T, N >::get_pointer ()
KOKKOS_INLINE_FUNCTION const_pointer_type	minitensor::Storage< T, N >::get_const_pointer () const
static KOKKOS_INLINE_FUNCTION constexpr Index	minitensor::Storage< T, N >::static_size ()
KOKKOS_INLINE_FUNCTION	minitensor::Storage< T, DYNAMIC >::Storage ()
KOKKOS_INLINE_FUNCTION	minitensor::Storage< T, DYNAMIC >::Storage (Index const number_entries)
	minitensor::Storage< T, DYNAMIC >::Storage (Storage< T, DYNAMIC > const &s)=delete
Storage< T, DYNAMIC > &	minitensor::Storage< T, DYNAMIC >::operator= (Storage< T, DYNAMIC > const &s)=delete
KOKKOS_INLINE_FUNCTION	minitensor::Storage< T, DYNAMIC >::~Storage ()
KOKKOS_INLINE_FUNCTION T const &	minitensor::Storage< T, DYNAMIC >::operator[] (Index const i) const
KOKKOS_INLINE_FUNCTION T &	minitensor::Storage< T, DYNAMIC >::operator[] (Index const i)
KOKKOS_INLINE_FUNCTION Index	minitensor::Storage< T, DYNAMIC >::size () const
KOKKOS_INLINE_FUNCTION void	minitensor::Storage< T, DYNAMIC >::resize (Index const number_entries)
KOKKOS_INLINE_FUNCTION void	minitensor::Storage< T, DYNAMIC >::clear ()
KOKKOS_INLINE_FUNCTION pointer_type	minitensor::Storage< T, DYNAMIC >::get_pointer ()
KOKKOS_INLINE_FUNCTION const_pointer_type	minitensor::Storage< T, DYNAMIC >::get_const_pointer () const
static KOKKOS_INLINE_FUNCTION constexpr Index	minitensor::Storage< T, DYNAMIC >::static_size ()
static KOKKOS_INLINE_FUNCTION constexpr Index	minitensor::Tensor< T, N >::get_order ()
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor ()
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Index const dimension)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Filler const value)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Index const dimension, Filler const value)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, ArrayT &data, Index index1)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, ArrayT &data, Index index1, Index index2)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, ArrayT &data, Index index1, Index index2, Index index3)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5, Index index6)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, Index const dimension, ArrayT &data, Index index1)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2, Index index3)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2, Index index3, Index index4)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5, Index index6)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Index const dimension, T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Tensor< T, N > const &A)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Tensor4< T, dimension_sqrt< N >::value > const &A)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (T const &s00, T const &s01, T const &s10, T const &s11)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (T const &s00, T const &s01, T const &s02, T const &s10, T const &s11, T const &s12, T const &s20, T const &s21, T const &s22)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (T const *data_ptr, ComponentOrder const component_order)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::Tensor (Index const dimension, T const *data_ptr, ComponentOrder const component_order)
virtual KOKKOS_INLINE_FUNCTION	minitensor::Tensor< T, N >::~Tensor ()
KOKKOS_INLINE_FUNCTION T const &	minitensor::Tensor< T, N >::operator() (Index const i, Index const j) const
KOKKOS_INLINE_FUNCTION T &	minitensor::Tensor< T, N >::operator() (Index const i, Index const j)
KOKKOS_INLINE_FUNCTION Index	minitensor::Tensor< T, N >::get_dimension () const
KOKKOS_INLINE_FUNCTION Index	minitensor::Tensor< T, N >::get_num_rows () const
KOKKOS_INLINE_FUNCTION Index	minitensor::Tensor< T, N >::get_num_cols () const
KOKKOS_INLINE_FUNCTION void	minitensor::Tensor< T, N >::set_dimension (Index const dimension)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::operator+ (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::operator- (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N >	minitensor::operator- (Tensor< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator== (Tensor< T, N > const &A, Tensor< T, N > const &B)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator!= (Tensor< T, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::operator* (Tensor< T, N > const &A, Vector< S, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::operator* (Vector< S, N > const &u, Tensor< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::operator* (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor< Promote< S, T >, N > >::type	minitensor::operator* (S const &s, Tensor< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor< Promote< S, T >, N > >::type	minitensor::operator* (Tensor< T, N > const &A, S const &s)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::operator/ (Tensor< T, N > const &A, S const &s)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::operator/ (S const &s, Tensor< T, N > const &A)
template<typename T , Index N>
std::istream &	minitensor::operator>> (std::istream &is, Tensor< T, N > &A)
template<typename T , Index N>
std::ostream &	minitensor::operator<< (std::ostream &os, Tensor< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< T, N >	minitensor::row (Tensor< T, N > const &A, Index const i)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< T, N >	minitensor::col (Tensor< T, N > const &A, Index const j)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::dot (Tensor< T, N > const &A, Vector< S, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::dot (Vector< S, N > const &u, Tensor< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dot (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::t_dot (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N, Index P>
KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, N, P >	minitensor::t_dot (Tensor< S, N > const &A, Matrix< T, N, P > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::t_dot (Tensor< S, N > const &A, Vector< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dot_t (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::t_dot_t (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Promote< S, T >::type	minitensor::dotdot (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dyad (Vector< S, N > const &u, Vector< T, N > const &v)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::bun (Vector< S, N > const &u, Vector< T, N > const &v)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::tensor (Vector< S, N > const &u, Vector< T, N > const &v)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N >	minitensor::diag (Vector< T, N > const &v)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< T, N >	minitensor::diag (Tensor< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::zero ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const	minitensor::zero (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::zero (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::identity ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const	minitensor::identity (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::identity (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::eye ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const	minitensor::eye (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::eye (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::levi_civita_2 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const	minitensor::levi_civita_2 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::levi_civita_2 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::permutation_2 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const	minitensor::permutation_2 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::permutation_2 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::alternator_2 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const	minitensor::alternator_2 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N > const	minitensor::alternator_2 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N >	minitensor::transpose (Tensor< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N >	minitensor::adjoint (Tensor< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N >	minitensor::sym (Tensor< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N >	minitensor::skew (Tensor< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< T, N >	minitensor::skew (Vector< T, N > const &u)
static KOKKOS_INLINE_FUNCTION constexpr Index	minitensor::Tensor3< T, N >::get_order ()
KOKKOS_INLINE_FUNCTION	minitensor::Tensor3< T, N >::Tensor3 ()
KOKKOS_INLINE_FUNCTION	minitensor::Tensor3< T, N >::Tensor3 (Index const dimension)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor3< T, N >::Tensor3 (Filler const value)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor3< T, N >::Tensor3 (Index const dimension, Filler const value)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor3< T, N >::Tensor3 (T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor3< T, N >::Tensor3 (Index const dimension, T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor3< T, N >::Tensor3 (Tensor3< T, N > const &A)
virtual KOKKOS_INLINE_FUNCTION	minitensor::Tensor3< T, N >::~Tensor3 ()
KOKKOS_INLINE_FUNCTION T const &	minitensor::Tensor3< T, N >::operator() (Index const i, Index const j, Index const k) const
KOKKOS_INLINE_FUNCTION T &	minitensor::Tensor3< T, N >::operator() (Index const i, Index const j, Index const k)
KOKKOS_INLINE_FUNCTION Index	minitensor::Tensor3< T, N >::get_dimension () const
KOKKOS_INLINE_FUNCTION void	minitensor::Tensor3< T, N >::set_dimension (Index const dimension)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::operator+ (Tensor3< S, N > const &A, Tensor3< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::operator- (Tensor3< S, N > const &A, Tensor3< T, N > const &B)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< T, N >	minitensor::operator- (Tensor3< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator== (Tensor3< T, N > const &A, Tensor3< T, N > const &B)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator!= (Tensor3< T, N > const &A, Tensor3< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor3< Promote< S, T >, N > >::type	minitensor::operator* (S const &s, Tensor3< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor3< Promote< S, T >, N > >::type	minitensor::operator* (Tensor3< T, N > const &A, S const &s)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::operator/ (Tensor3< T, N > const &A, S const &s)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::operator/ (S const &s, Tensor3< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::dotdot (Tensor3< T, N > const &A, Tensor< S, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dot (Tensor3< T, N > const &A, Vector< S, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dot (Vector< S, N > const &u, Tensor3< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dot2 (Tensor3< T, N > const &A, Vector< S > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dot2 (Vector< S, N > const &u, Tensor3< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::dot (Tensor3< T, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::dot (Tensor< S, N > const &A, Tensor3< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::dot2 (Tensor3< T, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::dot2 (Tensor< S, N > const &A, Tensor3< T, N > const &B)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< T, N > const	minitensor::levi_civita_3 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor3< T, DYNAMIC > const	minitensor::levi_civita_3 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< T, N > const	minitensor::levi_civita_3 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< T, N > const	minitensor::permutation_3 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor3< T, DYNAMIC > const	minitensor::permutation_3 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< T, N > const	minitensor::permutation_3 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< T, N > const	minitensor::alternator_3 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor3< T, DYNAMIC > const	minitensor::alternator_3 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< T, N > const	minitensor::alternator_3 (Index const dimension)
template<typename T , Index N>
std::istream &	minitensor::operator>> (std::istream &is, Tensor3< T, N > &A)
template<typename T , Index N>
std::ostream &	minitensor::operator<< (std::ostream &os, Tensor3< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dot2 (Tensor3< T, N > const &A, Vector< S, N > const &u)
static KOKKOS_INLINE_FUNCTION constexpr Index	minitensor::Tensor4< T, N >::get_order ()
KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::Tensor4 ()
KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::Tensor4 (Index const dimension)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::Tensor4 (Filler const value)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::Tensor4 (Index const dimension, Filler const value)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::Tensor4 (T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::Tensor4 (Index const dimension, T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::Tensor4 (Tensor4< T, N > const &A)
KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::Tensor4 (Tensor< T, dimension_square< N >::value > const &A)
virtual KOKKOS_INLINE_FUNCTION	minitensor::Tensor4< T, N >::~Tensor4 ()
KOKKOS_INLINE_FUNCTION T const &	minitensor::Tensor4< T, N >::operator() (Index const i, Index const j, Index const k, Index const l) const
KOKKOS_INLINE_FUNCTION T &	minitensor::Tensor4< T, N >::operator() (Index const i, Index const j, Index const k, Index const l)
KOKKOS_INLINE_FUNCTION Index	minitensor::Tensor4< T, N >::get_dimension () const
KOKKOS_INLINE_FUNCTION void	minitensor::Tensor4< T, N >::set_dimension (Index const dimension)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::operator+ (Tensor4< S, N > const &A, Tensor4< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::operator- (Tensor4< S, N > const &A, Tensor4< T, N > const &B)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N >	minitensor::operator- (Tensor4< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator== (Tensor4< T, N > const &A, Tensor4< T, N > const &B)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator!= (Tensor4< T, N > const &A, Tensor4< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor4< Promote< S, T >, N > >::type	minitensor::operator* (S const &s, Tensor4< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor4< Promote< S, T >, N > >::type	minitensor::operator* (Tensor4< T, N > const &A, S const &s)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::operator/ (Tensor4< T, N > const &A, S const &s)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::operator/ (S const &s, Tensor4< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N >	minitensor::transpose (Tensor4< T, N > const &A)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::identity_1 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const	minitensor::identity_1 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::identity_1 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::identity_2 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const	minitensor::identity_2 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::identity_2 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::identity_3 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const	minitensor::identity_3 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::identity_3 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::levi_civita_4 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const	minitensor::levi_civita_4 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::levi_civita_4 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::permutation_4 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const	minitensor::permutation_4 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::permutation_4 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::alternator_4 ()
template<typename T >
KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const	minitensor::alternator_4 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N > const	minitensor::alternator_4 (Index const dimension)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< T, N >	minitensor::inverse (Tensor4< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::dot (Tensor4< T, N > const &A, Vector< S, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::dot (Vector< S, N > const &u, Tensor4< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::dot2 (Tensor4< T, N > const &A, Vector< S, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N >	minitensor::dot2 (Vector< S, N > const &u, Tensor4< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dotdot (Tensor4< T, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N >	minitensor::dotdot (Tensor< S, N > const &B, Tensor4< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::dotdot (Tensor4< S, N > const &A, Tensor4< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::tensor (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::tensor2 (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::tensor3 (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::dot (Tensor4< T, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::dot_t (Tensor4< T, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::dot (Tensor< S > const &A, Tensor4< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::t_dot (Tensor< S, N > const &A, Tensor4< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::dot2 (Tensor4< T, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::dot2_t (Tensor4< T, N > const &A, Tensor< S, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::dot2 (Tensor< S, N > const &A, Tensor4< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::t_dot2 (Tensor< S, N > const &A, Tensor4< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::odot (Tensor< S, N > const &A, Tensor< T, N > const &B)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::kronecker (Tensor< S, N > const &A, Tensor4< T, N > const &B)
template<typename T , Index N>
std::istream &	minitensor::operator>> (std::istream &is, Tensor4< T, N > &A)
template<typename T , Index N>
std::ostream &	minitensor::operator<< (std::ostream &os, Tensor4< T, N > const &A)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N >	minitensor::dot (Tensor< S, N > const &A, Tensor4< T, N > const &B)
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase ()
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order)
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, Filler const value)
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, T const &s)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, ArrayT &data, Index index1)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, ArrayT &data, Index index1, Index index2)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, ArrayT &data, Index index1, Index index2, Index index3)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, ArrayT &data, Index index1, Index index2, Index index3, Index index4)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5, Index index6)
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (Index const dimension, Index const order, T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::TensorBase< T, ST >::TensorBase (TensorBase< T, ST > const &X)
KOKKOS_INLINE_FUNCTION TensorBase< T, ST > &	minitensor::TensorBase< T, ST >::operator= (TensorBase< T, ST > const &X)
KOKKOS_INLINE_FUNCTION T const &	minitensor::TensorBase< T, ST >::operator[] (Index const i) const
KOKKOS_INLINE_FUNCTION T &	minitensor::TensorBase< T, ST >::operator[] (Index const i)
KOKKOS_INLINE_FUNCTION Index	minitensor::TensorBase< T, ST >::get_number_components () const
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (Filler const value)
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (T const &s)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (ArrayT &data, Index index1)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (ArrayT &data, Index index1, Index index2)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (ArrayT &data, Index index1, Index index2, Index index3)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (ArrayT &data, Index index1, Index index2, Index index3, Index index4)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5, Index index6)
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (T const *data_ptr)
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::fill (T const *data_ptr, ComponentOrder const component_order)
template<typename S , typename SS >
KOKKOS_INLINE_FUNCTION TensorBase< T, ST > &	minitensor::TensorBase< T, ST >::operator+= (TensorBase< S, SS > const &X)
template<typename S , typename SS >
KOKKOS_INLINE_FUNCTION TensorBase< T, ST > &	minitensor::TensorBase< T, ST >::operator-= (TensorBase< S, SS > const &X)
template<typename S >
KOKKOS_INLINE_FUNCTION TensorBase< T, ST > &	minitensor::TensorBase< T, ST >::operator*= (S const &X)
template<typename S >
KOKKOS_INLINE_FUNCTION TensorBase< T, ST > &	minitensor::TensorBase< T, ST >::operator/= (S const &X)
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::clear ()
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::set_number_components (Index const number_components)
KOKKOS_INLINE_FUNCTION Index	minitensor::TensorBase< T, ST >::get_dimension (Index const order) const
KOKKOS_INLINE_FUNCTION void	minitensor::TensorBase< T, ST >::set_dimension (Index const dimension, Index const order)
template<typename T , typename ST >
KOKKOS_INLINE_FUNCTION T	minitensor::norm_f (TensorBase< T, ST > const &X)
template<typename T , typename ST >
KOKKOS_INLINE_FUNCTION T	minitensor::norm_f_square (TensorBase< T, ST > const &X)
template<typename R , typename S , typename T , typename SR , typename SS , typename ST >
KOKKOS_INLINE_FUNCTION void	minitensor::add (TensorBase< R, SR > const &A, TensorBase< S, SS > const &B, TensorBase< T, ST > &C)
template<typename R , typename S , typename T , typename SR , typename SS , typename ST >
KOKKOS_INLINE_FUNCTION void	minitensor::subtract (TensorBase< R, SR > const &A, TensorBase< S, SS > const &B, TensorBase< T, ST > &C)
template<typename T , typename ST >
KOKKOS_INLINE_FUNCTION void	minitensor::minus (TensorBase< T, ST > const &A, TensorBase< T, ST > &B)
template<typename T , typename ST >
KOKKOS_INLINE_FUNCTION bool	minitensor::equal (TensorBase< T, ST > const &A, TensorBase< T, ST > const &B)
template<typename T , typename ST >
KOKKOS_INLINE_FUNCTION bool	minitensor::not_equal (TensorBase< T, ST > const &A, TensorBase< T, ST > const &B)
template<typename R , typename S , typename T , typename SR , typename ST >
KOKKOS_INLINE_FUNCTION void	minitensor::scale (TensorBase< R, SR > const &A, S const &s, TensorBase< T, ST > &B)
template<typename R , typename S , typename T , typename SR , typename ST >
KOKKOS_INLINE_FUNCTION void	minitensor::divide (TensorBase< R, SR > const &A, S const &s, TensorBase< T, ST > &B)
template<typename R , typename S , typename T , typename SR , typename ST >
KOKKOS_INLINE_FUNCTION void	minitensor::split (TensorBase< R, SR > const &A, S const &s, TensorBase< T, ST > &B)
static KOKKOS_INLINE_FUNCTION constexpr Index	minitensor::Vector< T, N >::get_order ()
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector ()
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Index const dimension)
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Filler const value)
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Index const dimension, Filler const value)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, ArrayT &data, Index index1)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, ArrayT &data, Index index1, Index index2)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, ArrayT &data, Index index1, Index index2, Index index3)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5, Index index6)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, Index const dimension, ArrayT &data, Index index1)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2, Index index3)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2, Index index3, Index index4)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5)
template<class ArrayT >
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Source const source, Index const dimension, ArrayT &data, Index index1, Index index2, Index index3, Index index4, Index index5, Index index6)
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Index const dimension, T const *data_ptr)
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (Vector< T, N > const &v)
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (T const &s0, T const &s1)
KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::Vector (T const &s0, T const &s1, T const &s2)
virtual KOKKOS_INLINE_FUNCTION	minitensor::Vector< T, N >::~Vector ()
KOKKOS_INLINE_FUNCTION T const &	minitensor::Vector< T, N >::operator() (Index const i) const
KOKKOS_INLINE_FUNCTION T &	minitensor::Vector< T, N >::operator() (Index const i)
KOKKOS_INLINE_FUNCTION T const &	minitensor::Vector< T, N >::operator() (Index const i, Index const) const
KOKKOS_INLINE_FUNCTION T &	minitensor::Vector< T, N >::operator() (Index const i, Index const)
KOKKOS_INLINE_FUNCTION Index	minitensor::Vector< T, N >::get_dimension () const
KOKKOS_INLINE_FUNCTION Index	minitensor::Vector< T, N >::get_num_rows () const
KOKKOS_INLINE_FUNCTION Index	minitensor::Vector< T, N >::get_num_cols () const
KOKKOS_INLINE_FUNCTION void	minitensor::Vector< T, N >::set_dimension (Index const dimension)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::operator+ (Vector< S, N > const &u, Vector< T, N > const &v)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::operator- (Vector< S, N > const &u, Vector< T, N > const &v)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< T, N >	minitensor::operator- (Vector< T, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Promote< S, T >::type	minitensor::operator* (Vector< S, N > const &u, Vector< T, N > const &v)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator== (Vector< T, N > const &u, Vector< T, N > const &v)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION bool	minitensor::operator!= (Vector< T, N > const &u, Vector< T, N > const &v)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_vector< Promote< S, T >, N > >::type	minitensor::operator* (S const &s, Vector< T, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_vector< Promote< S, T >, N > >::type	minitensor::operator* (Vector< T, N > const &u, S const &s)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::operator/ (Vector< T, N > const &u, S const &s)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::operator/ (S const &s, Vector< T, N > const &u)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Promote< S, T >::type	minitensor::dot (Vector< S, N > const &u, Vector< T, N > const &v)
template<typename S , typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N >	minitensor::cross (Vector< S, N > const &u, Vector< T, N > const &v)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION T	minitensor::norm (Vector< T, N > const &u)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION T	minitensor::norm_square (Vector< T, N > const &u)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION T	minitensor::norm_1 (Vector< T, N > const &u)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION T	minitensor::norm_infinity (Vector< T, N > const &u)
template<typename T , Index N>
KOKKOS_INLINE_FUNCTION Vector< T, N >	minitensor::unit (Vector< T, N > const &u)
template<typename T , Index N>
std::pair< Vector< T, N >, T >	minitensor::house (Vector< T, N > const &x)
template<typename T , Index N>
std::istream &	minitensor::operator>> (std::istream &is, Vector< T, N > &u)
template<typename T , Index N>
std::ostream &	minitensor::operator<< (std::ostream &os, Vector< T, N > const &u)

Variables
static constexpr Index	minitensor::Matrix< T, M, N >::ORDER = 1
static constexpr bool	minitensor::Matrix< T, M, N >::IS_DYNAMIC = (M == DYNAMIC || N == DYNAMIC)
Index	minitensor::Matrix< T, M, N >::rows_ {M}
Index	minitensor::Matrix< T, M, N >::cols_ {N}
static constexpr Index	minitensor::dimension_const< N, C >::value = C
static constexpr Index	minitensor::dimension_const< DYNAMIC, C >::value = DYNAMIC
static constexpr Index	minitensor::check_static< D >::maximum_dimension
static constexpr Index	minitensor::check_static< D >::value = D
static constexpr Index	minitensor::dimension_power< D, O >::value = 0
static constexpr Index	minitensor::dimension_power< D, 1 >::value = D
static constexpr Index	minitensor::dimension_power< D, 2 >::value = D * D
static constexpr Index	minitensor::dimension_power< D, 3 >::value = D * D * D
static constexpr Index	minitensor::dimension_power< D, 4 >::value = D * D * D * D
static constexpr Index	minitensor::dimension_square< N >::value = 0
static constexpr Index	minitensor::dimension_square< DYNAMIC >::value = DYNAMIC
static constexpr Index	minitensor::dimension_square< 1 >::value = 1
static constexpr Index	minitensor::dimension_square< 2 >::value = 4
static constexpr Index	minitensor::dimension_square< 3 >::value = 9
static constexpr Index	minitensor::dimension_square< 4 >::value = 16
static constexpr Index	minitensor::dimension_sqrt< N >::value = 0
static constexpr Index	minitensor::dimension_sqrt< DYNAMIC >::value = DYNAMIC
static constexpr Index	minitensor::dimension_sqrt< 1 >::value = 1
static constexpr Index	minitensor::dimension_sqrt< 4 >::value = 2
static constexpr Index	minitensor::dimension_sqrt< 9 >::value = 3
static constexpr Index	minitensor::dimension_sqrt< 16 >::value = 4
static constexpr Index	minitensor::dimension_add< N, P >::value = N + P
static constexpr Index	minitensor::dimension_add< DYNAMIC, P >::value = DYNAMIC
static constexpr Index	minitensor::dimension_subtract< N, P >::value = N - P
static constexpr Index	minitensor::dimension_subtract< DYNAMIC, P >::value = DYNAMIC
static constexpr Index	minitensor::dimension_product< N, P >::value = N * P
static constexpr Index	minitensor::dimension_product< N, DYNAMIC >::value = DYNAMIC
static constexpr Index	minitensor::dimension_product< DYNAMIC, P >::value = DYNAMIC
static constexpr Index	minitensor::dimension_product< DYNAMIC, DYNAMIC >::value = DYNAMIC
static constexpr bool	minitensor::Storage< T, N >::IS_STATIC = true
static constexpr bool	minitensor::Storage< T, N >::IS_DYNAMIC = false
T	minitensor::Storage< T, N >::storage_ [N]
Index	minitensor::Storage< T, N >::size_ {N}
static constexpr bool	minitensor::Storage< T, DYNAMIC >::IS_DYNAMIC = true
static constexpr bool	minitensor::Storage< T, DYNAMIC >::IS_STATIC = false
T *	minitensor::Storage< T, DYNAMIC >::storage_ {nullptr}
Index	minitensor::Storage< T, DYNAMIC >::size_ {0}
static constexpr Index	minitensor::Tensor< T, N >::ORDER = 2
static constexpr bool	minitensor::Tensor< T, N >::IS_DYNAMIC = N == DYNAMIC
static constexpr Index	minitensor::Tensor3< T, N >::ORDER = 3
static constexpr bool	minitensor::Tensor3< T, N >::IS_DYNAMIC = N == DYNAMIC
static constexpr Index	minitensor::Tensor4< T, N >::ORDER = 4
static constexpr bool	minitensor::Tensor4< T, N >::IS_DYNAMIC = N == DYNAMIC
ST	minitensor::TensorBase< T, ST >::components_
Index	minitensor::TensorBase< T, ST >::dimension_ {0}
static constexpr Index	minitensor::Vector< T, N >::ORDER = 1
static constexpr bool	minitensor::Vector< T, N >::IS_DYNAMIC = N == DYNAMIC

Detailed Description

Vectors, second- to fourth-order tensors, and general matrices, with static (compile-time) or dynamic storage.

Typedef Documentation

matrix_store

template<typename T , Index M, Index N>

using minitensor::matrix_store = typedef Storage<T, dimension_product<M, N>::value>

Storage type alias for Matrix.

Definition at line 31 of file MiniTensor_Matrix.h.

Store [1/5]

template<typename T , Index M = DYNAMIC, Index N = DYNAMIC>

using minitensor::Matrix< T, M, N >::Store = matrix_store<T, M, N>

Storage type

Definition at line 58 of file MiniTensor_Matrix.h.

value_type [1/3]

template<typename T , Index N>

using minitensor::Storage< T, N >::value_type = T

Type of the stored entries.

Definition at line 327 of file MiniTensor_Storage.h.

pointer_type [1/2]

template<typename T , Index N>

using minitensor::Storage< T, N >::pointer_type = T *

Pointer to an entry.

Definition at line 331 of file MiniTensor_Storage.h.

reference_type [1/2]

template<typename T , Index N>

using minitensor::Storage< T, N >::reference_type = T &

Reference to an entry.

Definition at line 335 of file MiniTensor_Storage.h.

const_pointer_type [1/2]

template<typename T , Index N>

using minitensor::Storage< T, N >::const_pointer_type = T const *

Pointer to a constant entry.

Definition at line 339 of file MiniTensor_Storage.h.

const_reference_type [1/2]

template<typename T , Index N>

using minitensor::Storage< T, N >::const_reference_type = T const &

Reference to a constant entry.

Definition at line 343 of file MiniTensor_Storage.h.

value_type [2/3]

template<typename T >

using minitensor::Storage< T, DYNAMIC >::value_type = T

Type of the stored entries.

Definition at line 492 of file MiniTensor_Storage.h.

pointer_type [2/2]

template<typename T >

using minitensor::Storage< T, DYNAMIC >::pointer_type = T *

Pointer to an entry.

Definition at line 496 of file MiniTensor_Storage.h.

reference_type [2/2]

template<typename T >

using minitensor::Storage< T, DYNAMIC >::reference_type = T &

Reference to an entry.

Definition at line 500 of file MiniTensor_Storage.h.

const_pointer_type [2/2]

template<typename T >

using minitensor::Storage< T, DYNAMIC >::const_pointer_type = T const *

Pointer to a constant entry.

Definition at line 504 of file MiniTensor_Storage.h.

const_reference_type [2/2]

template<typename T >

using minitensor::Storage< T, DYNAMIC >::const_reference_type = T const &

Reference to a constant entry.

Definition at line 508 of file MiniTensor_Storage.h.

tensor_store

template<typename T , Index N>

using minitensor::tensor_store = typedef Storage<T, dimension_power<N, 2>::value>

Storage type alias for Tensor.

Definition at line 31 of file MiniTensor_Tensor.h.

Store [2/5]

template<typename T , Index N = DYNAMIC>

using minitensor::Tensor< T, N >::Store = tensor_store<T, N>

Storage type

Definition at line 58 of file MiniTensor_Tensor.h.

tensor3_store

template<typename T , Index N>

using minitensor::tensor3_store = typedef Storage<T, dimension_power<N, 3>::value>

Storage type alias for Tensor3.

Definition at line 26 of file MiniTensor_Tensor3.h.

Store [3/5]

template<typename T , Index N = DYNAMIC>

using minitensor::Tensor3< T, N >::Store = tensor3_store<T, N>

Storage type

Definition at line 53 of file MiniTensor_Tensor3.h.

tensor4_store

template<typename T , Index N>

using minitensor::tensor4_store = typedef Storage<T, dimension_power<N, 4>::value>

Storage type alias for Tensor4.

Definition at line 26 of file MiniTensor_Tensor4.h.

Store [4/5]

template<typename T , Index N = DYNAMIC>

using minitensor::Tensor4< T, N >::Store = tensor4_store<T, N>

Storage type

Definition at line 53 of file MiniTensor_Tensor4.h.

value_type [3/3]

template<typename T , typename ST >

using minitensor::TensorBase< T, ST >::value_type = T

Component type

Definition at line 68 of file MiniTensor_TensorBase.h.

storage_type

template<typename T , typename ST >

using minitensor::TensorBase< T, ST >::storage_type = ST

Storage type

Definition at line 73 of file MiniTensor_TensorBase.h.

vector_store

template<typename T , Index N>

using minitensor::vector_store = typedef Storage<T, dimension_power<N, 1>::value>

Storage type alias for Vector.

Definition at line 30 of file MiniTensor_Vector.h.

Store [5/5]

template<typename T , Index N = DYNAMIC>

using minitensor::Vector< T, N >::Store = vector_store<T, N>

Storage type

Definition at line 57 of file MiniTensor_Vector.h.

Enumeration Type Documentation

Filler

enum class minitensor::Filler

strong

Type for setting components all at once

Enumerator
ZEROS
ONES
SEQUENCE
RANDOM
RANDOM_UNIFORM
RANDOM_NORMAL
NANS

Definition at line 29 of file MiniTensor_TensorBase.h.

ComponentOrder

enum class minitensor::ComponentOrder

strong

Component ordering convention

Enumerator
CANONICAL
SIERRA_FULL
SIERRA_SYMMETRIC

Definition at line 42 of file MiniTensor_TensorBase.h.

Source

enum class minitensor::Source

strong

Initialization sources

Enumerator
ARRAY

Definition at line 51 of file MiniTensor_TensorBase.h.

Function Documentation

get_order() [1/5]

template<typename T , Index M = DYNAMIC, Index N = DYNAMIC>

static KOKKOS_INLINE_FUNCTION constexpr Index minitensor::Matrix< T, M, N >::get_order ( )

inlinestaticconstexpr

Matrix order

Definition at line 66 of file MiniTensor_Matrix.h.

Matrix() [1/19]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix ( )

explicit

Constructor that initializes to NaNs

Definition at line 759 of file MiniTensor_Matrix.h.

Matrix() [2/19]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix ( Index const  rows, Index const  cols  )

explicit

Constructor that initializes to NaNs.

Parameters

rows	Number of rows
cols	Number of columns

Definition at line 768 of file MiniTensor_Matrix.h.

Matrix() [3/19]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix ( Filler const  value )

explicit

Create tensor from a specified value

Parameters

value

all components are set equal to this

Definition at line 780 of file MiniTensor_Matrix.h.

Matrix() [4/19]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix ( Index const  rows, Index  cols, Filler const  value  )

explicit

Create matrix from a specified value.

Parameters

rows	Number of rows
cols	Number of columns
value	all components are set equal to this

Definition at line 788 of file MiniTensor_Matrix.h.

Matrix() [5/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		ArrayT &	data,
		Index	index1
	)

Create tensor from array

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array

Definition at line 805 of file MiniTensor_Matrix.h.

Matrix() [6/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array

Definition at line 817 of file MiniTensor_Matrix.h.

Matrix() [7/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array

Definition at line 830 of file MiniTensor_Matrix.h.

Matrix() [8/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array

Definition at line 844 of file MiniTensor_Matrix.h.

Matrix() [9/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array
index5	fifth index into the array

Definition at line 866 of file MiniTensor_Matrix.h.

Matrix() [10/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5,
		Index	index6
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array
index5	fifth index into the array
index6	sixth index into the array

Definition at line 890 of file MiniTensor_Matrix.h.

Matrix() [11/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		Index const	rows,
		Index const	cols,
		ArrayT &	data,
		Index	index1
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
rows	Number of rows
cols	Number of columns
data	array with source components
index1	first index into the array

Definition at line 916 of file MiniTensor_Matrix.h.

Matrix() [12/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		Index const	rows,
		Index const	cols,
		ArrayT &	data,
		Index	index1,
		Index	index2
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
rows	Number of rows
cols	Number of columns
data	array with source components
index1	first index into the array
index2	second index into the array

Definition at line 931 of file MiniTensor_Matrix.h.

Matrix() [13/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		Index const	rows,
		Index const	cols,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
rows	Number of rows
cols	Number of columns
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array

Definition at line 947 of file MiniTensor_Matrix.h.

Matrix() [14/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		Index const	rows,
		Index const	cols,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
rows	Number of rows
cols	Number of columns
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array

Definition at line 970 of file MiniTensor_Matrix.h.

Matrix() [15/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		Index const	rows,
		Index const	cols,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
rows	Number of rows
cols	Number of columns
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array
index5	fifth index into the array

Definition at line 995 of file MiniTensor_Matrix.h.

Matrix() [16/19]

template<typename T , Index M, Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix	(	Source const	source,
		Index const	rows,
		Index const	cols,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5,
		Index	index6
	)

Create matrix from array.

Parameters

source	kind of data source (Source::ARRAY)
rows	Number of rows
cols	Number of columns
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array
index5	fifth index into the array
index6	sixth index into the array

Definition at line 1022 of file MiniTensor_Matrix.h.

Matrix() [17/19]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix ( T const *  data_ptr )

explicit

Create matrix from array defined by pointer.

Parameters

data_ptr

pointer into the array

Definition at line 1050 of file MiniTensor_Matrix.h.

Matrix() [18/19]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix ( Index const  rows, Index  cols, T const *  data_ptr  )

explicit

Create matrix from array defined by pointer.

Parameters

rows	Number of rows
cols	Number of columns
data_ptr	pointer into the array

Definition at line 1058 of file MiniTensor_Matrix.h.

Matrix() [19/19]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::Matrix

(

Matrix< T, M, N > const &

A

)

Copy constructor

Definition at line 1073 of file MiniTensor_Matrix.h.

~Matrix()

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION minitensor::Matrix< T, M, N >::~Matrix ( )

virtual

Simple destructor

Definition at line 1085 of file MiniTensor_Matrix.h.

operator()() [1/12]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION T const & minitensor::Matrix< T, M, N >::operator()	(	Index const	i,
		Index const	j
	)		const

Indexing for constant tensor

Parameters

i	index
j	index

Definition at line 1144 of file MiniTensor_Matrix.h.

operator()() [2/12]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION T & minitensor::Matrix< T, M, N >::operator()	(	Index const	i,
		Index const	j
	)

Matrix indexing

Parameters

i	index
j	index

Definition at line 1161 of file MiniTensor_Matrix.h.

get_dimensions()

template<typename T , Index M, Index N>

std::pair< Index, Index > minitensor::Matrix< T, M, N >::get_dimensions ( ) const

inline

Returns

dimensions

Definition at line 1096 of file MiniTensor_Matrix.h.

get_num_rows() [1/3]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Matrix< T, M, N >::get_num_rows

(

)

const

Returns

number rows

Definition at line 1107 of file MiniTensor_Matrix.h.

get_num_cols() [1/3]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Matrix< T, M, N >::get_num_cols

(

)

const

Returns

number rows

Definition at line 1118 of file MiniTensor_Matrix.h.

set_dimensions()

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION void minitensor::Matrix< T, M, N >::set_dimensions	(	Index const	rows,
		Index const	cols
	)

Parameters

rows	Number of rows
cols	Number of columns

Definition at line 1129 of file MiniTensor_Matrix.h.

operator+() [1/5]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::operator+	(	Matrix< S, M, N > const &	A,
		Matrix< T, M, N > const &	B
	)

Matrix addition

Returns

\( A + B \)

Definition at line 1250 of file MiniTensor_Matrix.h.

operator-() [1/10]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::operator-	(	Matrix< S, M, N > const &	A,
		Matrix< T, M, N > const &	B
	)

Matrix subtraction

Returns

\( A - B \)

Definition at line 1266 of file MiniTensor_Matrix.h.

operator-() [2/10]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< T, M, N > minitensor::operator-

(

Matrix< T, M, N > const &

A

)

Matrix minus

Returns

\( -A \)

Definition at line 1282 of file MiniTensor_Matrix.h.

operator==() [1/5]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator==	(	Matrix< T, M, N > const &	A,
		Matrix< T, M, N > const &	B
	)

Matrix equality Tested by components

Returns

\( A \equiv B \)

Definition at line 1298 of file MiniTensor_Matrix.h.

operator!=() [1/5]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator!=	(	Matrix< T, M, N > const &	A,
		Matrix< T, M, N > const &	B
	)

Matrix inequality Tested by components

Returns

\( A \neq B \)

Definition at line 1309 of file MiniTensor_Matrix.h.

operator*() [1/19]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, M > minitensor::operator*	(	Matrix< T, M, N > const &	A,
		Vector< S, N > const &	u
	)

Matrix vector product v = A u

Parameters

A	matrix
u	vector

Returns

\( A u \)

Definition at line 1386 of file MiniTensor_Matrix.h.

operator*() [2/19]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::operator*	(	Vector< S, M > const &	u,
		Matrix< T, M, N > const &	A
	)

Vector matrix product v = u A

Parameters

A	matrix
u	vector

Returns

\( u A = A^T u \)

Definition at line 1397 of file MiniTensor_Matrix.h.

operator*() [3/19]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::operator*	(	Matrix< T, M, N > const &	A,
		Tensor< S, N > const &	B
	)

Matrix tensor product C = A B

Parameters

A	matrix
B	tensor

Returns

\( A B \)

Definition at line 1408 of file MiniTensor_Matrix.h.

operator*() [4/19]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::operator*	(	Tensor< S, M > const &	A,
		Matrix< T, M, N > const &	B
	)

Tensor matrix product C = A B

Parameters

A	tensor
B	matrix

Returns

\( A B = \)

Definition at line 1419 of file MiniTensor_Matrix.h.

operator*() [5/19]

template<typename S , typename T , Index M, Index P, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::operator*	(	Matrix< S, M, P > const &	A,
		Matrix< T, P, N > const &	B
	)

Matrix dot product C = A B

Returns

\( A \cdot B \)

Definition at line 1430 of file MiniTensor_Matrix.h.

operator*() [6/19]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_matrix< Promote< S, T >, M, N > >::type minitensor::operator*	(	S const &	s,
		Matrix< T, M, N > const &	A
	)

Scalar matrix product

Parameters

s	scalar
A	matrix

Returns

\( s A \)

Definition at line 1321 of file MiniTensor_Matrix.h.

operator*() [7/19]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_matrix< Promote< S, T >, M, N > >::type minitensor::operator*	(	Matrix< T, M, N > const &	A,
		S const &	s
	)

Matrix scalar product

Parameters

A	matrix
s	scalar

Returns

\( s A \)

Definition at line 1338 of file MiniTensor_Matrix.h.

operator/() [1/10]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::operator/	(	Matrix< T, M, N > const &	A,
		S const &	s
	)

Matrix scalar division

Parameters

A	matrix
s	scalar

Returns

\( A / s \)

Definition at line 1354 of file MiniTensor_Matrix.h.

operator/() [2/10]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::operator/	(	S const &	s,
		Matrix< T, M, N > const &	A
	)

Scalar matrix division

Parameters

s	scalar
A	matrix that divides scalar with each component

Returns

\( s / A \)

Definition at line 1370 of file MiniTensor_Matrix.h.

operator>>() [1/5]

template<typename T , Index M, Index N>

std::istream & minitensor::operator>>	(	std::istream &	is,
		Matrix< T, M, N > &	A
	)

Matrix input

Parameters

A	matrix
is	input stream

Returns

is input stream

Definition at line 1819 of file MiniTensor_Matrix.h.

operator<<() [1/5]

template<typename T , Index M, Index N>

std::ostream & minitensor::operator<<	(	std::ostream &	os,
		Matrix< T, M, N > const &	A
	)

Matrix output

Parameters

A	matrix
os	output stream

Returns

os output stream

Definition at line 1840 of file MiniTensor_Matrix.h.

row() [1/2]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Vector< T, N > minitensor::row	(	Matrix< T, M, N > const &	A,
		Index const	i
	)

Extract a row as a vector

Parameters

A	matrix
i	index of row

Returns

\( v = A(i,:) \)

Definition at line 1178 of file MiniTensor_Matrix.h.

col() [1/2]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Vector< T, M > minitensor::col	(	Matrix< T, M, N > const &	A,
		Index const	j
	)

Extract a column as a vector

Parameters

A	matrix
j	index of column

Returns

\( v = A(:,j) \)

Definition at line 1214 of file MiniTensor_Matrix.h.

dot() [1/18]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, M > minitensor::dot	(	Matrix< T, M, N > const &	A,
		Vector< S, N > const &	u
	)

Matrix vector product v = A u

Parameters

A	matrix
u	vector

Returns

\( A u \)

Definition at line 1441 of file MiniTensor_Matrix.h.

dot() [2/18]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::dot	(	Vector< S, M > const &	u,
		Matrix< T, M, N > const &	A
	)

Vector matrix product v = u A

Parameters

A	matrix
u	vector

Returns

\( u A = A^T u \)

Definition at line 1474 of file MiniTensor_Matrix.h.

dot() [3/18]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::dot	(	Matrix< T, M, N > const &	A,
		Tensor< S, N > const &	B
	)

Matrix tensor product C = A B

Parameters

A	matrix
B	tensor

Returns

\( A B \)

Definition at line 1507 of file MiniTensor_Matrix.h.

dot() [4/18]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::dot	(	Tensor< S, M > const &	A,
		Matrix< T, M, N > const &	B
	)

Tensor matrix product C = A B

Parameters

A	tensor
B	matrix

Returns

\( A B = \)

Definition at line 1542 of file MiniTensor_Matrix.h.

dot() [5/18]

template<typename S , typename T , Index M, Index P, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::dot	(	Matrix< S, M, P > const &	A,
		Matrix< T, P, N > const &	B
	)

Matrix matrix product C = A B

Parameters

A	matrix
B	matrix

Returns

a matrix \( A \cdot B \)

Definition at line 1577 of file MiniTensor_Matrix.h.

t_dot() [1/5]

template<typename S , typename T , Index M, Index P, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::t_dot	(	Matrix< S, P, M > const &	A,
		Matrix< T, P, N > const &	B
	)

Matrix matrix product C = A^T B

Parameters

A	matrix
B	matrix

Returns

a matrix \( A^T \cdot B \)

Definition at line 1615 of file MiniTensor_Matrix.h.

dot_t() [1/3]

template<typename S , typename T , Index M, Index P, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::dot_t	(	Matrix< S, M, P > const &	A,
		Matrix< T, N, P > const &	B
	)

Matrix matrix product C = A B^T

Parameters

A	matrix
B	matrix

Returns

a matrix \( A \cdot B^T \)

Definition at line 1653 of file MiniTensor_Matrix.h.

t_dot_t() [1/2]

template<typename S , typename T , Index M, Index P, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::t_dot_t	(	Matrix< S, P, M > const &	A,
		Matrix< T, N, P > const &	B
	)

Matrix matrix product C = A^T B^T

Parameters

A	matrix
B	matrix

Returns

a tensor \( A^T \cdot B^T \)

Definition at line 1694 of file MiniTensor_Matrix.h.

dotdot() [1/6]

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Promote< S, T >::type minitensor::dotdot	(	Matrix< S, M, N > const &	A,
		Matrix< T, M, N > const &	B
	)

Matrix matrix double dot product (contraction)

Parameters

A	matrix
B	matrix

Returns

a scalar \( A : B \)

Definition at line 1732 of file MiniTensor_Matrix.h.

matrix()

template<typename S , typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, M, N > minitensor::matrix	(	Vector< S, M > const &	u,
		Vector< T, N > const &	v
	)

exterior matrix product

Parameters

u	vector
v	vector

Returns

\( u \otimes v \)

Definition at line 1761 of file MiniTensor_Matrix.h.

transpose() [1/3]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< T, M, N > minitensor::transpose

(

Matrix< T, N, M > const &

A

)

matrix transpose

Definition at line 1791 of file MiniTensor_Matrix.h.

adjoint() [1/2]

template<typename T , Index M, Index N>

KOKKOS_INLINE_FUNCTION Matrix< T, M, N > minitensor::adjoint

(

Matrix< T, N, M > const &

A

)

matrix adjoint

check_dynamic()

template<typename Store >

void minitensor::check_dynamic ( Index const  dimension )

inline

Validate a run-time dimension for dynamic storage.

Definition at line 69 of file MiniTensor_Storage.h.

Storage() [1/6]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Storage< T, N >::Storage ( )

inline

Definition at line 360 of file MiniTensor_Storage.h.

Storage() [2/6]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Storage< T, N >::Storage ( Index const  number_entries )

inlineexplicit

Create storage with the given number of entries (at most N).

Definition at line 367 of file MiniTensor_Storage.h.

Storage() [3/6]

template<typename T , Index N>

minitensor::Storage< T, N >::Storage ( Storage< T, N > const &  s )

delete

operator=() [1/3]

template<typename T , Index N>

Storage< T, N > & minitensor::Storage< T, N >::operator= ( Storage< T, N > const &  s )

delete

~Storage() [1/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Storage< T, N >::~Storage ( )

inline

Definition at line 377 of file MiniTensor_Storage.h.

operator[]() [1/6]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T const & minitensor::Storage< T, N >::operator[] ( Index const  i ) const

inline

Constant read access to entry i.

Definition at line 386 of file MiniTensor_Storage.h.

operator[]() [2/6]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T & minitensor::Storage< T, N >::operator[] ( Index const  i )

inline

Read-write access to entry i.

Definition at line 400 of file MiniTensor_Storage.h.

size() [1/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Storage< T, N >::size ( ) const

inline

Number of entries currently in use.

Definition at line 414 of file MiniTensor_Storage.h.

resize() [1/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION void minitensor::Storage< T, N >::resize ( Index const  number_entries )

inline

Set the number of entries in use; must not exceed N.

Definition at line 424 of file MiniTensor_Storage.h.

clear() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION void minitensor::Storage< T, N >::clear ( )

inline

No-op: static storage cannot be deallocated.

Definition at line 435 of file MiniTensor_Storage.h.

get_pointer() [1/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION pointer_type minitensor::Storage< T, N >::get_pointer ( )

inline

Raw pointer to the underlying array.

Definition at line 444 of file MiniTensor_Storage.h.

get_const_pointer() [1/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION const_pointer_type minitensor::Storage< T, N >::get_const_pointer ( ) const

inline

Raw pointer to the constant underlying array.

Definition at line 454 of file MiniTensor_Storage.h.

static_size() [1/2]

template<typename T , Index N>

static KOKKOS_INLINE_FUNCTION constexpr Index minitensor::Storage< T, N >::static_size ( )

inlinestaticconstexpr

Compile-time capacity N of the storage.

Definition at line 462 of file MiniTensor_Storage.h.

Storage() [4/6]

template<typename T >

KOKKOS_INLINE_FUNCTION minitensor::Storage< T, DYNAMIC >::Storage ( )

inline

Definition at line 525 of file MiniTensor_Storage.h.

Storage() [5/6]

template<typename T >

KOKKOS_INLINE_FUNCTION minitensor::Storage< T, DYNAMIC >::Storage ( Index const  number_entries )

inlineexplicit

Create heap-allocated storage with the given number of entries.

Definition at line 532 of file MiniTensor_Storage.h.

Storage() [6/6]

template<typename T >

minitensor::Storage< T, DYNAMIC >::Storage ( Storage< T, DYNAMIC > const &  s )

delete

operator=() [2/3]

template<typename T >

Storage< T, DYNAMIC > & minitensor::Storage< T, DYNAMIC >::operator= ( Storage< T, DYNAMIC > const &  s )

delete

~Storage() [2/2]

template<typename T >

KOKKOS_INLINE_FUNCTION minitensor::Storage< T, DYNAMIC >::~Storage ( )

inline

Definition at line 542 of file MiniTensor_Storage.h.

operator[]() [3/6]

template<typename T >

KOKKOS_INLINE_FUNCTION T const & minitensor::Storage< T, DYNAMIC >::operator[] ( Index const  i ) const

inline

Constant read access to entry i.

Definition at line 552 of file MiniTensor_Storage.h.

operator[]() [4/6]

template<typename T >

KOKKOS_INLINE_FUNCTION T & minitensor::Storage< T, DYNAMIC >::operator[] ( Index const  i )

inline

Read-write access to entry i.

Definition at line 563 of file MiniTensor_Storage.h.

size() [2/2]

template<typename T >

KOKKOS_INLINE_FUNCTION Index minitensor::Storage< T, DYNAMIC >::size ( ) const

inline

Number of entries currently allocated.

Definition at line 574 of file MiniTensor_Storage.h.

resize() [2/2]

template<typename T >

KOKKOS_INLINE_FUNCTION void minitensor::Storage< T, DYNAMIC >::resize ( Index const  number_entries )

inline

Reallocate to hold number_entries entries; prior data are lost.

Definition at line 584 of file MiniTensor_Storage.h.

clear() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION void minitensor::Storage< T, DYNAMIC >::clear ( )

inline

Free the heap storage and reset the size to zero.

Definition at line 598 of file MiniTensor_Storage.h.

get_pointer() [2/2]

template<typename T >

KOKKOS_INLINE_FUNCTION pointer_type minitensor::Storage< T, DYNAMIC >::get_pointer ( )

inline

Raw pointer to the underlying array.

Definition at line 612 of file MiniTensor_Storage.h.

get_const_pointer() [2/2]

template<typename T >

KOKKOS_INLINE_FUNCTION const_pointer_type minitensor::Storage< T, DYNAMIC >::get_const_pointer ( ) const

inline

Raw pointer to the constant underlying array.

Definition at line 622 of file MiniTensor_Storage.h.

static_size() [2/2]

template<typename T >

static KOKKOS_INLINE_FUNCTION constexpr Index minitensor::Storage< T, DYNAMIC >::static_size ( )

inlinestaticconstexpr

Compile-time size: 0, since the size is set at run time.

Definition at line 630 of file MiniTensor_Storage.h.

get_order() [2/5]

template<typename T , Index N = DYNAMIC>

static KOKKOS_INLINE_FUNCTION constexpr Index minitensor::Tensor< T, N >::get_order ( )

inlinestaticconstexpr

Tensor order

Definition at line 66 of file MiniTensor_Tensor.h.

Tensor() [1/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( )

explicit

Constructor that initializes to NaNs

Definition at line 958 of file MiniTensor_Tensor.h.

Tensor() [2/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Index const  dimension )

explicit

Constructor that initializes to NaNs

Parameters

dimension

the space dimension

Definition at line 967 of file MiniTensor_Tensor.h.

Tensor() [3/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Filler const  value )

explicit

Create tensor from a specified value

Parameters

value

all components are set equal to this

Definition at line 978 of file MiniTensor_Tensor.h.

Tensor() [4/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Index const  dimension, Filler const  value  )

explicit

Create tensor from a specified value

Parameters

dimension	the space dimension
value	all components are set equal to this

Definition at line 986 of file MiniTensor_Tensor.h.

Tensor() [5/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, ArrayT &  data, Index  index1  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
data	array to copy components from
index1	first fixed index into the array

Definition at line 999 of file MiniTensor_Tensor.h.

Tensor() [6/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, ArrayT &  data, Index  index1, Index  index2  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array

Definition at line 1011 of file MiniTensor_Tensor.h.

Tensor() [7/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, ArrayT &  data, Index  index1, Index  index2, Index  index3  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array

Definition at line 1024 of file MiniTensor_Tensor.h.

Tensor() [8/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, ArrayT &  data, Index  index1, Index  index2, Index  index3, Index  index4  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array

Definition at line 1038 of file MiniTensor_Tensor.h.

Tensor() [9/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, ArrayT &  data, Index  index1, Index  index2, Index  index3, Index  index4, Index  index5  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array
index5	fifth fixed index into the array

Definition at line 1060 of file MiniTensor_Tensor.h.

Tensor() [10/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, ArrayT &  data, Index  index1, Index  index2, Index  index3, Index  index4, Index  index5, Index  index6  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array
index5	fifth fixed index into the array
index6	sixth fixed index into the array

Definition at line 1084 of file MiniTensor_Tensor.h.

Tensor() [11/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, Index const  dimension, ArrayT &  data, Index  index1  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
dimension	the space dimension
data	array to copy components from
index1	first fixed index into the array

Definition at line 1110 of file MiniTensor_Tensor.h.

Tensor() [12/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, Index const  dimension, ArrayT &  data, Index  index1, Index  index2  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
dimension	the space dimension
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array

Definition at line 1123 of file MiniTensor_Tensor.h.

Tensor() [13/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, Index const  dimension, ArrayT &  data, Index  index1, Index  index2, Index  index3  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
dimension	the space dimension
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array

Definition at line 1137 of file MiniTensor_Tensor.h.

Tensor() [14/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, Index const  dimension, ArrayT &  data, Index  index1, Index  index2, Index  index3, Index  index4  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
dimension	the space dimension
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array

Definition at line 1158 of file MiniTensor_Tensor.h.

Tensor() [15/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, Index const  dimension, ArrayT &  data, Index  index1, Index  index2, Index  index3, Index  index4, Index  index5  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
dimension	the space dimension
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array
index5	fifth fixed index into the array

Definition at line 1181 of file MiniTensor_Tensor.h.

Tensor() [16/24]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Source const  source, Index const  dimension, ArrayT &  data, Index  index1, Index  index2, Index  index3, Index  index4, Index  index5, Index  index6  )

explicit

Create tensor from array

Parameters

source	the array source (Source::ARRAY)
dimension	the space dimension
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array
index5	fifth fixed index into the array
index6	sixth fixed index into the array

Definition at line 1206 of file MiniTensor_Tensor.h.

Tensor() [17/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( T const *  data_ptr )

explicit

Create tensor from array

Parameters

data_ptr

pointer into the array

Definition at line 1232 of file MiniTensor_Tensor.h.

Tensor() [18/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Index const  dimension, T const *  data_ptr  )

explicit

Create tensor from array

Parameters

dimension	the space dimension
data_ptr	pointer into the array

Definition at line 1240 of file MiniTensor_Tensor.h.

Tensor() [19/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor

(

Tensor< T, N > const &

A

)

Copy constructor

Definition at line 1250 of file MiniTensor_Tensor.h.

Tensor() [20/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor

(

Tensor4< T, dimension_sqrt< N >::value > const &

A

)

2nd-order tensor from 4th-order tensor

Definition at line 1351 of file MiniTensor_Tensor.h.

Tensor() [21/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( T const &  s00, T const &  s01, T const &  s10, T const &  s11  )

explicit

Create tensor specifying components

Parameters

s00	s01 ... components in the R^2 canonical basis
s01	component in the R^2 canonical basis
s10	component in the R^2 canonical basis
s11	component in the R^2 canonical basis

Definition at line 1262 of file MiniTensor_Tensor.h.

Tensor() [22/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( T const &  s00, T const &  s01, T const &  s02, T const &  s10, T const &  s11, T const &  s12, T const &  s20, T const &  s21, T const &  s22  )

explicit

Create tensor specifying components

Parameters

s00	s01 ... components in the R^3 canonical basis
s01	component in the R^3 canonical basis
s02	component in the R^3 canonical basis
s10	component in the R^3 canonical basis
s11	component in the R^3 canonical basis
s12	component in the R^3 canonical basis
s20	component in the R^3 canonical basis
s21	component in the R^3 canonical basis
s22	component in the R^3 canonical basis

Definition at line 1286 of file MiniTensor_Tensor.h.

Tensor() [23/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( T const *  data_ptr, ComponentOrder const  component_order  )

explicit

Create tensor from array

Parameters

data_ptr	pointer into the array
component_order	component convention (3D only)

Definition at line 1316 of file MiniTensor_Tensor.h.

Tensor() [24/24]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::Tensor ( Index const  dimension, T const *  data_ptr, ComponentOrder const  component_order  )

explicit

Create tensor from array

Parameters

dimension	the space dimension
data_ptr	pointer into the array
component_order	component convention (3D only)

Definition at line 1329 of file MiniTensor_Tensor.h.

~Tensor()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor< T, N >::~Tensor ( )

virtual

Simple destructor

Definition at line 1379 of file MiniTensor_Tensor.h.

operator()() [3/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T const & minitensor::Tensor< T, N >::operator()	(	Index const	i,
		Index const	j
	)		const

Indexing for constant tensor

Parameters

i	index
j	index

Definition at line 1435 of file MiniTensor_Tensor.h.

operator()() [4/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T & minitensor::Tensor< T, N >::operator()	(	Index const	i,
		Index const	j
	)

Tensor indexing

Parameters

i	index
j	index

Definition at line 1452 of file MiniTensor_Tensor.h.

get_dimension() [1/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Tensor< T, N >::get_dimension

(

)

const

Returns

dimension

Definition at line 1390 of file MiniTensor_Tensor.h.

get_num_rows() [2/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Tensor< T, N >::get_num_rows

(

)

const

Returns

number rows

Definition at line 1401 of file MiniTensor_Tensor.h.

get_num_cols() [2/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Tensor< T, N >::get_num_cols

(

)

const

Returns

number rows

Definition at line 1412 of file MiniTensor_Tensor.h.

set_dimension() [1/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION void minitensor::Tensor< T, N >::set_dimension

(

Index const

dimension

)

Parameters

dimension

of vector

Definition at line 1423 of file MiniTensor_Tensor.h.

operator+() [2/5]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::operator+	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor addition

Returns

\( A + B \)

Definition at line 1553 of file MiniTensor_Tensor.h.

operator-() [3/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::operator-	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor subtraction

Returns

\( A - B \)

Definition at line 1569 of file MiniTensor_Tensor.h.

operator-() [4/10]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > minitensor::operator-

(

Tensor< T, N > const &

A

)

Tensor minus

Returns

\( -A \)

Definition at line 1585 of file MiniTensor_Tensor.h.

operator==() [2/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator==	(	Tensor< T, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor equality Tested by components

Returns

\( A \equiv B \)

Definition at line 1601 of file MiniTensor_Tensor.h.

operator!=() [2/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator!=	(	Tensor< T, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor inequality Tested by components

Returns

\( A \neq B \)

Definition at line 1612 of file MiniTensor_Tensor.h.

operator*() [8/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::operator*	(	Tensor< T, N > const &	A,
		Vector< S, N > const &	u
	)

Tensor vector product v = A u

Parameters

A	tensor
u	vector

Returns

\( A u \)

Definition at line 1689 of file MiniTensor_Tensor.h.

operator*() [9/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::operator*	(	Vector< S, N > const &	u,
		Tensor< T, N > const &	A
	)

Vector tensor product v = u A

Parameters

A	tensor
u	vector

Returns

\( u A = A^T u \)

Definition at line 1700 of file MiniTensor_Tensor.h.

operator*() [10/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::operator*	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor dot product C = A B

Returns

\( A \cdot B \)

Definition at line 1711 of file MiniTensor_Tensor.h.

operator*() [11/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor< Promote< S, T >, N > >::type minitensor::operator*	(	S const &	s,
		Tensor< T, N > const &	A
	)

Scalar tensor product

Parameters

s	scalar
A	tensor

Returns

\( s A \)

Definition at line 1624 of file MiniTensor_Tensor.h.

operator*() [12/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor< Promote< S, T >, N > >::type minitensor::operator*	(	Tensor< T, N > const &	A,
		S const &	s
	)

Tensor scalar product

Parameters

A	tensor
s	scalar

Returns

\( s A \)

Definition at line 1641 of file MiniTensor_Tensor.h.

operator/() [3/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::operator/	(	Tensor< T, N > const &	A,
		S const &	s
	)

Tensor scalar division

Parameters

A	tensor
s	scalar

Returns

\( A / s \)

Definition at line 1657 of file MiniTensor_Tensor.h.

operator/() [4/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::operator/	(	S const &	s,
		Tensor< T, N > const &	A
	)

Scalar tensor division

Parameters

s	scalar
A	tensor that divides scalar with each component

Returns

\( s / A \)

Definition at line 1673 of file MiniTensor_Tensor.h.

operator>>() [2/5]

template<typename T , Index N>

std::istream & minitensor::operator>>	(	std::istream &	is,
		Tensor< T, N > &	A
	)

Tensor input

Parameters

A	tensor
is	input stream

Returns

is input stream

Definition at line 2785 of file MiniTensor_Tensor.h.

operator<<() [2/5]

template<typename T , Index N>

std::ostream & minitensor::operator<<	(	std::ostream &	os,
		Tensor< T, N > const &	A
	)

Tensor output

Parameters

A	tensor
os	output stream

Returns

os output stream

Definition at line 2804 of file MiniTensor_Tensor.h.

row() [2/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< T, N > minitensor::row	(	Tensor< T, N > const &	A,
		Index const	i
	)

Extract a row as a vector

Parameters

A	tensor
i	index of row

Returns

\( v = A(i,:) \)

Definition at line 1481 of file MiniTensor_Tensor.h.

col() [2/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< T, N > minitensor::col	(	Tensor< T, N > const &	A,
		Index const	j
	)

Extract a column as a vector

Parameters

A	tensor
j	index of column

Returns

\( v = A(:,j) \)

Definition at line 1517 of file MiniTensor_Tensor.h.

dot() [6/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor< T, N > const &	A,
		Vector< S, N > const &	u
	)

Tensor vector product v = A u

Parameters

A	tensor
u	vector

Returns

\( A u \)

Definition at line 1722 of file MiniTensor_Tensor.h.

dot() [7/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::dot	(	Vector< S, N > const &	u,
		Tensor< T, N > const &	A
	)

Vector tensor product v = u A

Parameters

A	tensor
u	vector

Returns

\( u A = A^T u \)

Definition at line 1769 of file MiniTensor_Tensor.h.

dot() [8/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor tensor product C = A B

Parameters

A	tensor
B	tensor

Returns

a tensor \( A \cdot B \)

Definition at line 1816 of file MiniTensor_Tensor.h.

t_dot() [2/5]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::t_dot	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor tensor product C = A^T B

Parameters

A	tensor
B	tensor

Returns

a tensor \( A^T \cdot B \)

Definition at line 1876 of file MiniTensor_Tensor.h.

t_dot() [3/5]

template<typename S , typename T , Index N, Index P>

KOKKOS_INLINE_FUNCTION Matrix< typename Promote< S, T >::type, N, P > minitensor::t_dot	(	Tensor< S, N > const &	A,
		Matrix< T, N, P > const &	B
	)

Tensor matrix product C = A^T B

Parameters

A	tensor
B	matrix

Returns

a matrix \( A^T \cdot B \)

Definition at line 1936 of file MiniTensor_Tensor.h.

t_dot() [4/5]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::t_dot	(	Tensor< S, N > const &	A,
		Vector< T, N > const &	B
	)

Tensor vector product C = A^T B

Parameters

A	tensor
B	vector

Returns

a vector \( A^T \cdot B \)

Definition at line 1971 of file MiniTensor_Tensor.h.

dot_t() [2/3]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dot_t	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor tensor product C = A B^T

Parameters

A	tensor
B	tensor

Returns

a tensor \( A \cdot B^T \)

Definition at line 1982 of file MiniTensor_Tensor.h.

t_dot_t() [2/2]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::t_dot_t	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor tensor product C = A^T B^T

Parameters

A	tensor
B	tensor

Returns

a tensor \( A^T \cdot B^T \)

Definition at line 2042 of file MiniTensor_Tensor.h.

dotdot() [2/6]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Promote< S, T >::type minitensor::dotdot	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

Tensor tensor double dot product (contraction)

Parameters

A	tensor
B	tensor

Returns

a scalar \( A : B \)

Definition at line 2102 of file MiniTensor_Tensor.h.

dyad()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dyad	(	Vector< S, N > const &	u,
		Vector< T, N > const &	v
	)

Dyad

Parameters

u	vector
v	vector

Returns

\( u \otimes v \)

Definition at line 2144 of file MiniTensor_Tensor.h.

bun()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::bun	(	Vector< S, N > const &	u,
		Vector< T, N > const &	v
	)

Bun operator, just for Jay, and now Reese too.

Parameters

u	vector
v	vector

Returns

\( u \otimes v \)

Definition at line 2201 of file MiniTensor_Tensor.h.

tensor() [1/2]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::tensor	(	Vector< S, N > const &	u,
		Vector< T, N > const &	v
	)

Tensor product

Parameters

u	vector
v	vector

Returns

\( u \otimes v \)

Definition at line 2212 of file MiniTensor_Tensor.h.

diag() [1/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > minitensor::diag

(

Vector< T, N > const &

v

)

Diagonal tensor from vector

Parameters

v

vector

Returns

A = diag(v)

Definition at line 2223 of file MiniTensor_Tensor.h.

diag() [2/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< T, N > minitensor::diag

(

Tensor< T, N > const &

A

)

Diagonal of tensor in a vector

Parameters

A

tensor

Returns

v = diag(A)

Definition at line 2261 of file MiniTensor_Tensor.h.

zero() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::zero

(

)

Zero 2nd-order tensor All components are zero

Definition at line 2300 of file MiniTensor_Tensor.h.

zero() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const minitensor::zero

(

Index const

dimension

)

Zero 2nd-order tensor.

Definition at line 2311 of file MiniTensor_Tensor.h.

zero() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::zero

(

Index const

dimension

)

Zero 2nd-order tensor.

Definition at line 2322 of file MiniTensor_Tensor.h.

identity() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::identity

(

)

2nd-order identity tensor

Definition at line 2385 of file MiniTensor_Tensor.h.

identity() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const minitensor::identity

(

Index const

dimension

)

Identity 2nd-order tensor.

Definition at line 2401 of file MiniTensor_Tensor.h.

identity() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::identity

(

Index const

dimension

)

Identity 2nd-order tensor.

Definition at line 2417 of file MiniTensor_Tensor.h.

eye() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::eye

(

)

2nd-order identity tensor, à la Matlab

Definition at line 2434 of file MiniTensor_Tensor.h.

eye() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const minitensor::eye

(

Index const

dimension

)

Identity 2nd-order tensor; alias of identity.

Definition at line 2445 of file MiniTensor_Tensor.h.

eye() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::eye

(

Index const

dimension

)

Identity 2nd-order tensor; alias of identity.

Definition at line 2456 of file MiniTensor_Tensor.h.

levi_civita_2() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::levi_civita_2

(

)

Levi-Civita symbol

Definition at line 2467 of file MiniTensor_Tensor.h.

levi_civita_2() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const minitensor::levi_civita_2

(

Index const

dimension

)

Levi-Civita symbol as a 2nd-order tensor.

Definition at line 2483 of file MiniTensor_Tensor.h.

levi_civita_2() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::levi_civita_2

(

Index const

dimension

)

Levi-Civita symbol as a 2nd-order tensor.

Definition at line 2499 of file MiniTensor_Tensor.h.

permutation_2() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::permutation_2

(

)

Permutation symbol

Definition at line 2516 of file MiniTensor_Tensor.h.

permutation_2() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const minitensor::permutation_2

(

Index const

dimension

)

Permutation symbol as a 2nd-order tensor; alias of levi_civita_2.

Definition at line 2527 of file MiniTensor_Tensor.h.

permutation_2() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::permutation_2

(

Index const

dimension

)

Permutation symbol as a 2nd-order tensor; alias of levi_civita_2.

Definition at line 2539 of file MiniTensor_Tensor.h.

alternator_2() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::alternator_2

(

)

Alternating symbol

Definition at line 2550 of file MiniTensor_Tensor.h.

alternator_2() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor< T, DYNAMIC > const minitensor::alternator_2

(

Index const

dimension

)

Alternator as a 2nd-order tensor; alias of levi_civita_2.

Definition at line 2561 of file MiniTensor_Tensor.h.

alternator_2() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > const minitensor::alternator_2

(

Index const

dimension

)

Alternator as a 2nd-order tensor; alias of levi_civita_2.

Definition at line 2572 of file MiniTensor_Tensor.h.

transpose() [2/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > minitensor::transpose

(

Tensor< T, N > const &

A

)

2nd-order tensor transpose

Definition at line 2583 of file MiniTensor_Tensor.h.

adjoint() [2/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > minitensor::adjoint

(

Tensor< T, N > const &

A

)

C^N 2nd-order tensor adjoint

sym()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > minitensor::sym

(

Tensor< T, N > const &

A

)

Symmetric part of 2nd-order tensor

Returns

\( \frac{1}{2}(A + A^T) \)

Definition at line 2621 of file MiniTensor_Tensor.h.

skew() [1/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > minitensor::skew

(

Tensor< T, N > const &

A

)

Skew symmetric part of 2nd-order tensor

Returns

\( \frac{1}{2}(A - A^T) \)

Definition at line 2686 of file MiniTensor_Tensor.h.

skew() [2/2]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< T, N > minitensor::skew

(

Vector< T, N > const &

u

)

Skew symmetric 2nd-order tensor from vector valid for R^3 only. R^N with N != 3 will produce an error

Parameters

u

vector

Returns

\( {{0, -u_2, u_1}, {u_2, 0, -u_0}, {-u_1, u+0, 0}} \)

Definition at line 2745 of file MiniTensor_Tensor.h.

get_order() [3/5]

template<typename T , Index N = DYNAMIC>

static KOKKOS_INLINE_FUNCTION constexpr Index minitensor::Tensor3< T, N >::get_order ( )

inlinestaticconstexpr

Tensor order

Definition at line 61 of file MiniTensor_Tensor3.h.

Tensor3() [1/7]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor3< T, N >::Tensor3 ( )

explicit

3rd-order tensor constructor with NaNs

Definition at line 440 of file MiniTensor_Tensor3.h.

Tensor3() [2/7]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor3< T, N >::Tensor3 ( Index const  dimension )

explicit

3rd-order tensor constructor with NaNs

Parameters

dimension

the space dimension

Definition at line 449 of file MiniTensor_Tensor3.h.

Tensor3() [3/7]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor3< T, N >::Tensor3 ( Filler const  value )

explicit

Create 3rd-order tensor from a specified value

Parameters

value

all components are set equal to this

Definition at line 460 of file MiniTensor_Tensor3.h.

Tensor3() [4/7]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor3< T, N >::Tensor3 ( Index const  dimension, Filler const  value  )

explicit

Create 3rd-order tensor from a specified value

Parameters

dimension	the space dimension
value	all components are set equal to this

Definition at line 468 of file MiniTensor_Tensor3.h.

Tensor3() [5/7]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor3< T, N >::Tensor3 ( T const *  data_ptr )

explicit

Create 3rd-order tensor from array

Parameters

data_ptr

pointer into the array

Definition at line 479 of file MiniTensor_Tensor3.h.

Tensor3() [6/7]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor3< T, N >::Tensor3 ( Index const  dimension, T const *  data_ptr  )

explicit

Create 3rd-order tensor from array

Parameters

dimension	the space dimension
data_ptr	pointer into the array

Definition at line 487 of file MiniTensor_Tensor3.h.

Tensor3() [7/7]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor3< T, N >::Tensor3

(

Tensor3< T, N > const &

A

)

Copy constructor 3rd-order tensor constructor from 3rd-order tensor

Definition at line 498 of file MiniTensor_Tensor3.h.

~Tensor3()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor3< T, N >::~Tensor3 ( )

virtual

3rd-order tensor simple destructor

Definition at line 509 of file MiniTensor_Tensor3.h.

operator()() [5/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T const & minitensor::Tensor3< T, N >::operator()	(	Index const	i,
		Index const	j,
		Index const	k
	)		const

Indexing for constant 3rd-order tensor

Parameters

i	index
j	index
k	index

Definition at line 677 of file MiniTensor_Tensor3.h.

operator()() [6/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T & minitensor::Tensor3< T, N >::operator()	(	Index const	i,
		Index const	j,
		Index const	k
	)

3rd-order tensor indexing

Parameters

i	index
j	index
k	index

Definition at line 694 of file MiniTensor_Tensor3.h.

get_dimension() [2/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Tensor3< T, N >::get_dimension

(

)

const

Returns

dimension

Definition at line 520 of file MiniTensor_Tensor3.h.

set_dimension() [2/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION void minitensor::Tensor3< T, N >::set_dimension

(

Index const

dimension

)

Parameters

dimension

of vector

Definition at line 531 of file MiniTensor_Tensor3.h.

operator+() [3/5]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::operator+	(	Tensor3< S, N > const &	A,
		Tensor3< T, N > const &	B
	)

3rd-order tensor addition

Parameters

A	3rd-order tensor
B	3rd-order tensor

Returns

\( A + B \)

Definition at line 543 of file MiniTensor_Tensor3.h.

operator-() [5/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::operator-	(	Tensor3< S, N > const &	A,
		Tensor3< T, N > const &	B
	)

3rd-order tensor substraction

Parameters

A	3rd-order tensor
B	3rd-order tensor

Returns

\( A - B \)

Definition at line 559 of file MiniTensor_Tensor3.h.

operator-() [6/10]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< T, N > minitensor::operator-

(

Tensor3< T, N > const &

A

)

3rd-order tensor minus

Returns

\( -A \)

Definition at line 575 of file MiniTensor_Tensor3.h.

operator==() [3/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator==	(	Tensor3< T, N > const &	A,
		Tensor3< T, N > const &	B
	)

3rd-order tensor equality Tested by components

Definition at line 591 of file MiniTensor_Tensor3.h.

operator!=() [3/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator!=	(	Tensor3< T, N > const &	A,
		Tensor3< T, N > const &	B
	)

3rd-order tensor inequality Tested by components

Definition at line 602 of file MiniTensor_Tensor3.h.

operator*() [13/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor3< Promote< S, T >, N > >::type minitensor::operator*	(	S const &	s,
		Tensor3< T, N > const &	A
	)

Scalar 3rd-order tensor product

Parameters

s	scalar
A	3rd-order tensor

Returns

\( s A \)

Definition at line 613 of file MiniTensor_Tensor3.h.

operator*() [14/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor3< Promote< S, T >, N > >::type minitensor::operator*	(	Tensor3< T, N > const &	A,
		S const &	s
	)

3rd-order tensor scalar product

Parameters

A	3rd-order tensor
s	scalar

Returns

\( s A \)

Definition at line 629 of file MiniTensor_Tensor3.h.

operator/() [5/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::operator/	(	Tensor3< T, N > const &	A,
		S const &	s
	)

3rd-order tensor scalar division

Parameters

A	3rd-order tensor
s	scalar

Returns

\( A / s \)

Definition at line 645 of file MiniTensor_Tensor3.h.

operator/() [6/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::operator/	(	S const &	s,
		Tensor3< T, N > const &	A
	)

3rd-order scalar tensor division

Parameters

s	scalar
A	3rd-order tensor

Returns

\( s / A \)

Definition at line 661 of file MiniTensor_Tensor3.h.

dotdot() [3/6]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::dotdot	(	Tensor3< T, N > const &	A,
		Tensor< S, N > const &	u
	)

3rd-order tensor 2nd-order tensor double dot product

Parameters

A	3rd-order tensor
u	2nd-order tensor

Returns

\( B = A : u := B_i = A_{ijk} u_{jk} \)

Definition at line 882 of file MiniTensor_Tensor3.h.

dot() [9/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor3< T, N > const &	A,
		Vector< S, N > const &	u
	)

3rd-order tensor vector product

Parameters

A	3rd-order tensor
u	vector

Returns

\( B = A \cdot u := B_{ij} = A_{ijp} u_p \)

Definition at line 914 of file MiniTensor_Tensor3.h.

dot() [10/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dot	(	Vector< S, N > const &	u,
		Tensor3< T, N > const &	A
	)

vector 3rd-order tensor product

Parameters

A	3rd-order tensor
u	vector

Returns

\( B = u \cdot A := B_{ij} = u_p A{pij} \)

Definition at line 946 of file MiniTensor_Tensor3.h.

dot2() [1/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dot2	(	Tensor3< T, N > const &	A,
		Vector< S > const &	u
	)

3rd-order tensor vector product

Parameters

A	3rd-order tensor
u	vector

Returns

\( B = A \cdot u := B_{ij} = A_{ipj} u_p \)

dot2() [2/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dot2	(	Vector< S, N > const &	u,
		Tensor3< T, N > const &	A
	)

vector 3rd-order tensor product

Parameters

u	vector
A	3rd-order tensor

Returns

\( B = u \cdot A := B_{ij} = u_p A_{ipj} \)

Definition at line 1015 of file MiniTensor_Tensor3.h.

dot() [11/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor3< T, N > const &	A,
		Tensor< S, N > const &	B
	)

3rd-order tensor 2nd-order tensor product

Parameters

A	3rd-order tensor
B	2nd-order tensor

Returns

\( C = A \cdot B := C_{ijk} = A_{ijp} B_{pk} \)

Definition at line 1026 of file MiniTensor_Tensor3.h.

dot() [12/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor< S, N > const &	A,
		Tensor3< T, N > const &	B
	)

2nd-order tensor 3rd-order tensor product

Parameters

A	2nd-order tensor
B	3rd-order tensor

Returns

\( C = A \cdot B := C_{ijk} = A_{ip} B_{pjk} \)

Definition at line 1060 of file MiniTensor_Tensor3.h.

dot2() [3/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::dot2	(	Tensor3< T, N > const &	A,
		Tensor< S, N > const &	B
	)

3rd-order tensor 2nd-order tensor product

Parameters

A	3rd-order tensor
B	2nd-order tensor

Returns

\( C = A \cdot B := C_{ijk} = A_{ipj} B_{pk} \)

Definition at line 1094 of file MiniTensor_Tensor3.h.

dot2() [4/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::dot2	(	Tensor< S, N > const &	A,
		Tensor3< T, N > const &	B
	)

2nd-order tensor 3rd-order tensor product

Parameters

A	2nd-order tensor
B	3rd-order tensor

Returns

\( C = A \cdot B := C_{ijk} = A_{ip} B_{jpk} \)

Definition at line 1129 of file MiniTensor_Tensor3.h.

levi_civita_3() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< T, N > const minitensor::levi_civita_3

(

)

Levi-Civita symbol

Definition at line 765 of file MiniTensor_Tensor3.h.

levi_civita_3() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor3< T, DYNAMIC > const minitensor::levi_civita_3

(

Index const

dimension

)

Levi-Civita symbol as a 3rd-order tensor.

Definition at line 781 of file MiniTensor_Tensor3.h.

levi_civita_3() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< T, N > const minitensor::levi_civita_3

(

Index const

dimension

)

Levi-Civita symbol as a 3rd-order tensor.

Definition at line 797 of file MiniTensor_Tensor3.h.

permutation_3() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< T, N > const minitensor::permutation_3

(

)

Permutation symbol

Definition at line 813 of file MiniTensor_Tensor3.h.

permutation_3() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor3< T, DYNAMIC > const minitensor::permutation_3

(

Index const

dimension

)

Permutation symbol as a 3rd-order tensor; alias of levi_civita_3.

Definition at line 824 of file MiniTensor_Tensor3.h.

permutation_3() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< T, N > const minitensor::permutation_3

(

Index const

dimension

)

Permutation symbol as a 3rd-order tensor; alias of levi_civita_3.

Definition at line 835 of file MiniTensor_Tensor3.h.

alternator_3() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< T, N > const minitensor::alternator_3

(

)

Alternating symbol

Definition at line 846 of file MiniTensor_Tensor3.h.

alternator_3() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor3< T, DYNAMIC > const minitensor::alternator_3

(

Index const

dimension

)

Alternator as a 3rd-order tensor; alias of levi_civita_3.

Definition at line 857 of file MiniTensor_Tensor3.h.

alternator_3() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< T, N > const minitensor::alternator_3

(

Index const

dimension

)

Alternator as a 3rd-order tensor; alias of levi_civita_3.

Definition at line 868 of file MiniTensor_Tensor3.h.

operator>>() [3/5]

template<typename T , Index N>

std::istream & minitensor::operator>>	(	std::istream &	is,
		Tensor3< T, N > &	A
	)

3rd-order tensor input

Parameters

A	3rd-order tensor
is	input stream

Returns

is input stream

Definition at line 1166 of file MiniTensor_Tensor3.h.

operator<<() [3/5]

template<typename T , Index N>

std::ostream & minitensor::operator<<	(	std::ostream &	os,
		Tensor3< T, N > const &	A
	)

3rd-order tensor output

Parameters

A	3rd-order tensor
os	output stream

Returns

os output stream

Definition at line 1189 of file MiniTensor_Tensor3.h.

dot2() [5/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dot2	(	Tensor3< T, N > const &	A,
		Vector< S, N > const &	u
	)

Contraction of a vector with the middle index of a 3rd-order tensor.

Returns

\( B_{ij} = A_{ipj} u_p \)

Definition at line 983 of file MiniTensor_Tensor3.h.

get_order() [4/5]

template<typename T , Index N = DYNAMIC>

static KOKKOS_INLINE_FUNCTION constexpr Index minitensor::Tensor4< T, N >::get_order ( )

inlinestaticconstexpr

Tensor order

Definition at line 61 of file MiniTensor_Tensor4.h.

Tensor4() [1/8]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::Tensor4 ( )

explicit

4th-order tensor constructor with NaNs

Definition at line 663 of file MiniTensor_Tensor4.h.

Tensor4() [2/8]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::Tensor4 ( Index const  dimension )

explicit

4th-order tensor constructor with NaNs

Parameters

dimension

the space dimension

Definition at line 672 of file MiniTensor_Tensor4.h.

Tensor4() [3/8]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::Tensor4 ( Filler const  value )

explicit

Create 4th-order tensor from a specified value

Parameters

value

all components are set equal to this

Definition at line 683 of file MiniTensor_Tensor4.h.

Tensor4() [4/8]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::Tensor4 ( Index const  dimension, Filler const  value  )

explicit

Create 4th-order tensor from a specified value

Parameters

dimension	the space dimension
value	all components are set equal to this

Definition at line 691 of file MiniTensor_Tensor4.h.

Tensor4() [5/8]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::Tensor4 ( T const *  data_ptr )

explicit

Create 4th-order tensor from array

Parameters

data_ptr

pointer into the array

Definition at line 702 of file MiniTensor_Tensor4.h.

Tensor4() [6/8]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::Tensor4 ( Index const  dimension, T const *  data_ptr  )

explicit

Create 4th-order tensor from array

Parameters

dimension	the space dimension
data_ptr	pointer into the array

Definition at line 710 of file MiniTensor_Tensor4.h.

Tensor4() [7/8]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::Tensor4

(

Tensor4< T, N > const &

A

)

Copy constructor 4th-order tensor constructor with 4th-order tensor

Definition at line 721 of file MiniTensor_Tensor4.h.

Tensor4() [8/8]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::Tensor4

(

Tensor< T, dimension_square< N >::value > const &

A

)

4th-order tensor from 2nd-order tensor

Definition at line 771 of file MiniTensor_Tensor4.h.

~Tensor4()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Tensor4< T, N >::~Tensor4 ( )

virtual

4th-order tensor simple destructor

Definition at line 798 of file MiniTensor_Tensor4.h.

operator()() [7/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T const & minitensor::Tensor4< T, N >::operator()	(	Index const	i,
		Index const	j,
		Index const	k,
		Index const	l
	)		const

Indexing for constant 4th-order tensor

Parameters

i	index
j	index
k	index
l	index

Definition at line 970 of file MiniTensor_Tensor4.h.

operator()() [8/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T & minitensor::Tensor4< T, N >::operator()	(	Index const	i,
		Index const	j,
		Index const	k,
		Index const	l
	)

4th-order tensor indexing

Parameters

i	index
j	index
k	index
l	index

Definition at line 992 of file MiniTensor_Tensor4.h.

get_dimension() [3/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Tensor4< T, N >::get_dimension

(

)

const

Returns

dimension

Definition at line 809 of file MiniTensor_Tensor4.h.

set_dimension() [3/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION void minitensor::Tensor4< T, N >::set_dimension

(

Index const

dimension

)

Parameters

dimension

of vector

Definition at line 820 of file MiniTensor_Tensor4.h.

operator+() [4/5]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::operator+	(	Tensor4< S, N > const &	A,
		Tensor4< T, N > const &	B
	)

4th-order tensor addition

Parameters

A	4th-order tensor
B	4th-order tensor

Returns

\( A + B \)

Definition at line 832 of file MiniTensor_Tensor4.h.

operator-() [7/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::operator-	(	Tensor4< S, N > const &	A,
		Tensor4< T, N > const &	B
	)

4th-order tensor substraction

Parameters

A	4th-order tensor
B	4th-order tensor

Returns

\( A - B \)

Definition at line 848 of file MiniTensor_Tensor4.h.

operator-() [8/10]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > minitensor::operator-

(

Tensor4< T, N > const &

A

)

4th-order tensor minus

Returns

\( -A \)

Definition at line 864 of file MiniTensor_Tensor4.h.

operator==() [4/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator==	(	Tensor4< T, N > const &	A,
		Tensor4< T, N > const &	B
	)

4th-order equality Tested by components

Definition at line 880 of file MiniTensor_Tensor4.h.

operator!=() [4/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator!=	(	Tensor4< T, N > const &	A,
		Tensor4< T, N > const &	B
	)

4th-order inequality Tested by components

Definition at line 891 of file MiniTensor_Tensor4.h.

operator*() [15/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor4< Promote< S, T >, N > >::type minitensor::operator*	(	S const &	s,
		Tensor4< T, N > const &	A
	)

Scalar 4th-order tensor product

Parameters

s	scalar
A	4th-order tensor

Returns

\( s A \)

Definition at line 902 of file MiniTensor_Tensor4.h.

operator*() [16/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_tensor4< Promote< S, T >, N > >::type minitensor::operator*	(	Tensor4< T, N > const &	A,
		S const &	s
	)

4th-order tensor scalar product

Parameters

A	4th-order tensor
s	scalar

Returns

\( s A \)

Definition at line 918 of file MiniTensor_Tensor4.h.

operator/() [7/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::operator/	(	Tensor4< T, N > const &	A,
		S const &	s
	)

4th-order tensor scalar division

Parameters

A	4th-order tensor
s	scalar

Returns

\( A / s \)

Definition at line 934 of file MiniTensor_Tensor4.h.

operator/() [8/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::operator/	(	S const &	s,
		Tensor4< T, N > const &	A
	)

4th-order scalar tensor division

Parameters

s	scalar
A	4th-order tensor

Returns

\( s / A \)

Definition at line 950 of file MiniTensor_Tensor4.h.

transpose() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > minitensor::transpose

(

Tensor4< T, N > const &

A

)

4th-order tensor transpose

Definition at line 1350 of file MiniTensor_Tensor4.h.

identity_1() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::identity_1

(

)

4th-order identity I1

Returns

\( \delta_{ik} \delta_{jl} \) such that \( A = I_1 A \)

Definition at line 1118 of file MiniTensor_Tensor4.h.

identity_1() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const minitensor::identity_1

(

Index const

dimension

)

4th-order identity I1: \( \delta_{ik} \delta_{jl} \) such that \( A = I_1 A \).

Definition at line 1128 of file MiniTensor_Tensor4.h.

identity_1() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::identity_1

(

Index const

dimension

)

4th-order identity I1: \( \delta_{ik} \delta_{jl} \) such that \( A = I_1 A \).

Definition at line 1141 of file MiniTensor_Tensor4.h.

identity_2() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::identity_2

(

)

4th-order identity I2

Returns

\( \delta_{il} \delta_{jk} \) such that \( A^T = I_2 A \)

Definition at line 1157 of file MiniTensor_Tensor4.h.

identity_2() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const minitensor::identity_2

(

Index const

dimension

)

4th-order identity I2: \( \delta_{il} \delta_{jk} \) such that \( A^T = I_2 A \).

Definition at line 1167 of file MiniTensor_Tensor4.h.

identity_2() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::identity_2

(

Index const

dimension

)

4th-order identity I2: \( \delta_{il} \delta_{jk} \) such that \( A^T = I_2 A \).

Definition at line 1180 of file MiniTensor_Tensor4.h.

identity_3() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::identity_3

(

)

4th-order identity I3

Returns

\( \delta_{ij} \delta_{kl} \) such that \( I_A I = I_3 A \)

Definition at line 1196 of file MiniTensor_Tensor4.h.

identity_3() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const minitensor::identity_3

(

Index const

dimension

)

4th-order identity I3: \( \delta_{ij} \delta_{kl} \) such that \( I_A I = I_3 A \).

Definition at line 1206 of file MiniTensor_Tensor4.h.

identity_3() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::identity_3

(

Index const

dimension

)

4th-order identity I3: \( \delta_{ij} \delta_{kl} \) such that \( I_A I = I_3 A \).

Definition at line 1219 of file MiniTensor_Tensor4.h.

levi_civita_4() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::levi_civita_4

(

)

Levi-Civita symbol

Definition at line 1232 of file MiniTensor_Tensor4.h.

levi_civita_4() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const minitensor::levi_civita_4

(

Index const

dimension

)

Levi-Civita symbol as a 4th-order tensor.

Definition at line 1248 of file MiniTensor_Tensor4.h.

levi_civita_4() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::levi_civita_4

(

Index const

dimension

)

Levi-Civita symbol as a 4th-order tensor.

Definition at line 1264 of file MiniTensor_Tensor4.h.

permutation_4() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::permutation_4

(

)

Permutation symbol

Definition at line 1282 of file MiniTensor_Tensor4.h.

permutation_4() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const minitensor::permutation_4

(

Index const

dimension

)

Permutation symbol as a 4th-order tensor; alias of levi_civita_4.

Definition at line 1293 of file MiniTensor_Tensor4.h.

permutation_4() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::permutation_4

(

Index const

dimension

)

Permutation symbol as a 4th-order tensor; alias of levi_civita_4.

Definition at line 1304 of file MiniTensor_Tensor4.h.

alternator_4() [1/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::alternator_4

(

)

Alternating symbol

Definition at line 1315 of file MiniTensor_Tensor4.h.

alternator_4() [2/3]

template<typename T >

KOKKOS_INLINE_FUNCTION Tensor4< T, DYNAMIC > const minitensor::alternator_4

(

Index const

dimension

)

Alternator as a 4th-order tensor; alias of levi_civita_4.

Definition at line 1326 of file MiniTensor_Tensor4.h.

alternator_4() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > const minitensor::alternator_4

(

Index const

dimension

)

Alternator as a 4th-order tensor; alias of levi_civita_4.

Definition at line 1338 of file MiniTensor_Tensor4.h.

inverse()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< T, N > minitensor::inverse

(

Tensor4< T, N > const &

A

)

4th-order inverse

Returns

\( B such that B : A = A : B = I_1 \)

Definition at line 1010 of file MiniTensor_Tensor4.h.

dot() [13/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor4< T, N > const &	A,
		Vector< S, N > const &	u
	)

4th-order tensor vector dot product

Parameters

A	4th-order tensor
u	vector

Returns

3rd-order tensor \( B = A \cdot u := B_{ijk}=A_{ijkp} u_{p} \)

Definition at line 1380 of file MiniTensor_Tensor4.h.

dot() [14/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::dot	(	Vector< S, N > const &	u,
		Tensor4< T, N > const &	A
	)

vector 4th-order tensor dot product

Parameters

A	4th-order tensor
u	vector

Returns

3rd-order tensor \( u dot A \) as \( B_{ijk}=u_{p} A_{pijk} \)

Definition at line 1417 of file MiniTensor_Tensor4.h.

dot2() [6/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::dot2	(	Tensor4< T, N > const &	A,
		Vector< S, N > const &	u
	)

4th-order tensor vector dot2 product

Parameters

A	4th-order tensor
u	vector

Returns

3rd-order tensor \( B = A \cdot u := B_{ijk} = A_{ijpk} u_{p} \)

Definition at line 1454 of file MiniTensor_Tensor4.h.

dot2() [7/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor3< typename Promote< S, T >::type, N > minitensor::dot2	(	Vector< S, N > const &	u,
		Tensor4< T, N > const &	A
	)

vector 4th-order tensor dot2 product

Parameters

A	4th-order tensor
u	vector

Returns

3rd-order tensor \( u dot2 A \) as \( B_{ijk}=u_{p} A_{ipjk} \)

Definition at line 1491 of file MiniTensor_Tensor4.h.

dotdot() [4/6]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dotdot	(	Tensor4< T, N > const &	A,
		Tensor< S, N > const &	B
	)

4th-order tensor 2nd-order tensor double dot product

Parameters

A	4th-order tensor
B	2nd-order tensor

Returns

2nd-order tensor \( C = A : B := C_{ij} = A_{ijpq} B_{pq} \)

Definition at line 1525 of file MiniTensor_Tensor4.h.

dotdot() [5/6]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor< typename Promote< S, T >::type, N > minitensor::dotdot	(	Tensor< S, N > const &	B,
		Tensor4< T, N > const &	A
	)

2nd-order tensor 4th-order tensor double dot product

Parameters

B	2nd-order tensor
A	4th-order tensor

Returns

2nd-order tensor \( C = B : A := C_{ij} = B_{pq} A_{pqij} \)

Definition at line 1559 of file MiniTensor_Tensor4.h.

dotdot() [6/6]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::dotdot	(	Tensor4< S, N > const &	A,
		Tensor4< T, N > const &	B
	)

4th-order tensor 4th-order tensor double dot product

Parameters

A	4th-order tensor
B	4th-order tensor

Returns

2nd-order tensor \( C = A : B := C_{ij} = A_{ijpq} B_{pq} \)

Definition at line 1593 of file MiniTensor_Tensor4.h.

tensor() [2/2]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::tensor	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

2nd-order tensor 2nd-order tensor tensor product

Parameters

A	2nd-order tensor
B	2nd-order tensor

Returns

\( C = A \otimes B := C_{ijkl} = A_{ij} B_{kl} \)

Definition at line 1631 of file MiniTensor_Tensor4.h.

tensor2()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::tensor2	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

2nd-order tensor 2nd-order tensor tensor product

Parameters

A	2nd-order tensor
B	2nd-order tensor

Returns

\( C_{ijkl} = A_{ik} B_{jl} \)

Definition at line 1660 of file MiniTensor_Tensor4.h.

tensor3()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::tensor3	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

2nd-order tensor 2nd-order tensor tensor product

Parameters

A	2nd-order tensor
B	2nd-order tensor

Returns

\( C_{ijkl} = A_{il} B_{kj} \)

Definition at line 1689 of file MiniTensor_Tensor4.h.

dot() [15/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor4< T, N > const &	A,
		Tensor< S, N > const &	B
	)

4th-order tensor 2nd-order tensor dot product

Parameters

A	4th-order tensor
B	2nd-order tensor

Returns

\( C = A \cdot B := C_{ijkl} = A_{ijkp} B_{pl} \)

Definition at line 1718 of file MiniTensor_Tensor4.h.

dot_t() [3/3]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::dot_t	(	Tensor4< T, N > const &	A,
		Tensor< S, N > const &	B
	)

4th-order tensor 2nd-order tensor transpose dot product

Parameters

A	4th-order tensor
B	2nd-order tensor

Returns

\( C = A \cdot B^T := C_{ijkl} = A_{ijkp} B_{lp} \)

Definition at line 1754 of file MiniTensor_Tensor4.h.

dot() [16/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor< S > const &	A,
		Tensor4< T, N > const &	B
	)

2nd-order tensor 4th-order tensor dot product

Parameters

A	2nd-order tensor
B	4th-order tensor

Returns

\( C = A \cdot B := C_{ijkl} = A_{ip} B_{pjkl} \)

t_dot() [5/5]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::t_dot	(	Tensor< S, N > const &	A,
		Tensor4< T, N > const &	B
	)

2nd-order tensor transpose 4th-order tensor dot product

Parameters

A	2nd-order tensor
B	4th-order tensor

Returns

\( C = A^T \cdot B := C_{ijkl} = A_{pi} B_{pjkl} \)

Definition at line 1830 of file MiniTensor_Tensor4.h.

dot2() [8/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::dot2	(	Tensor4< T, N > const &	A,
		Tensor< S, N > const &	B
	)

4th-order tensor 2nd-order tensor dot product

Parameters

A	4th-order tensor
B	2nd-order tensor

Returns

\( C = A \cdot B := C_{ijkl} = A_{ijpl} B_{pk} \)

Definition at line 1866 of file MiniTensor_Tensor4.h.

dot2_t()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::dot2_t	(	Tensor4< T, N > const &	A,
		Tensor< S, N > const &	B
	)

4th-order tensor 2nd-order tensor transpose dot product

Parameters

A	4th-order tensor
B	2nd-order tensor

Returns

\( C = A \cdot B^T := C_{ijkl} = A_{ijpl} B_{kp} \)

Definition at line 1902 of file MiniTensor_Tensor4.h.

dot2() [9/9]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::dot2	(	Tensor< S, N > const &	A,
		Tensor4< T, N > const &	B
	)

2nd-order tensor 4th-order tensor dot product

Parameters

A	2nd-order tensor
B	4th-order tensor

Returns

\( C = A \cdot B := C_{ijkl} = A_{jp} B_{ipkl} \)

Definition at line 1938 of file MiniTensor_Tensor4.h.

t_dot2()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::t_dot2	(	Tensor< S, N > const &	A,
		Tensor4< T, N > const &	B
	)

2nd-order tensor transpose 4th-order tensor dot product

Parameters

A	2nd-order tensor
B	4th-order tensor

Returns

\( C = A^T \cdot B := C_{ijkl} = A_{pj} B_{ipkl} \)

Definition at line 1974 of file MiniTensor_Tensor4.h.

odot()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::odot	(	Tensor< S, N > const &	A,
		Tensor< T, N > const &	B
	)

odot operator useful for \( \frac{\partial A^{-1}}{\partial A} \) see Holzapfel eqn 6.165

Parameters

A	2nd-order tensor
B	2nd-order tensor

Returns

\( A \odot B \) which is \( C_{ijkl} = \frac{1}{2}(A_{ik} B_{jl} + A_{il} B_{jk}) \)

Definition at line 2015 of file MiniTensor_Tensor4.h.

kronecker()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::kronecker	(	Tensor< S, N > const &	A,
		Tensor4< T, N > const &	B
	)

4th-order input

Parameters

A	4th-order tensor
B	2nd-order tensor

Returns

\( C'_{i'j'k'l'} = A_{i'i} A_{j'j} A_{k'k} A_{l'l} B_{ijkl} \)

Definition at line 2044 of file MiniTensor_Tensor4.h.

operator>>() [4/5]

template<typename T , Index N>

std::istream & minitensor::operator>>	(	std::istream &	is,
		Tensor4< T, N > &	A
	)

4th-order input

Parameters

A	4th-order tensor
is	input stream

Returns

is input stream

Definition at line 2091 of file MiniTensor_Tensor4.h.

operator<<() [4/5]

template<typename T , Index N>

std::ostream & minitensor::operator<<	(	std::ostream &	os,
		Tensor4< T, N > const &	A
	)

4th-order output

Parameters

A	4th-order tensor
os	output stream

Returns

os output stream

Definition at line 2116 of file MiniTensor_Tensor4.h.

dot() [17/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Tensor4< typename Promote< S, T >::type, N > minitensor::dot	(	Tensor< S, N > const &	A,
		Tensor4< T, N > const &	B
	)

2nd-order by 4th-order dot product.

Returns

\( C_{ijkl} = A_{ip} B_{pjkl} \)

Definition at line 1794 of file MiniTensor_Tensor4.h.

TensorBase() [1/12]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase

(

)

Default constructor

Definition at line 589 of file MiniTensor_TensorBase.h.

TensorBase() [2/12]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase ( Index const  dimension, Index const  order  )

explicit

Constructor that initializes to NaNs

Parameters

dimension	the space dimension
order	the tensor order

Definition at line 605 of file MiniTensor_TensorBase.h.

TensorBase() [3/12]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		Filler const	value
	)

Create with specified value

Parameters

dimension	the space dimension
order	the tensor order
value	all components are set equal to this

Definition at line 617 of file MiniTensor_TensorBase.h.

TensorBase() [4/12]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		T const &	s
	)

Create from a scalar

Parameters

dimension	the space dimension
order	the tensor order
s	all components are set equal to this value

Definition at line 632 of file MiniTensor_TensorBase.h.

TensorBase() [5/12]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		ArrayT &	data,
		Index	index1
	)

Create from array

Parameters

dimension	the space dimension
order	the tensor order
data	array to copy components from
index1	first fixed index into the array

Definition at line 648 of file MiniTensor_TensorBase.h.

TensorBase() [6/12]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		ArrayT &	data,
		Index	index1,
		Index	index2
	)

Create from array

Parameters

dimension	the space dimension
order	the tensor order
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array

Definition at line 662 of file MiniTensor_TensorBase.h.

TensorBase() [7/12]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3
	)

Create from array

Parameters

dimension	the space dimension
order	the tensor order
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array

Definition at line 677 of file MiniTensor_TensorBase.h.

TensorBase() [8/12]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4
	)

Create from array

Parameters

dimension	the space dimension
order	the tensor order
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array

Definition at line 693 of file MiniTensor_TensorBase.h.

TensorBase() [9/12]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5
	)

Create from array

Parameters

dimension	the space dimension
order	the tensor order
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array
index5	fifth fixed index into the array

Definition at line 710 of file MiniTensor_TensorBase.h.

TensorBase() [10/12]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5,
		Index	index6
	)

Create from array

Parameters

dimension	the space dimension
order	the tensor order
data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array
index5	fifth fixed index into the array
index6	sixth fixed index into the array

Definition at line 728 of file MiniTensor_TensorBase.h.

TensorBase() [11/12]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase	(	Index const	dimension,
		Index const	order,
		T const *	data_ptr
	)

Create from array defined by pointer.

Parameters

dimension	the space dimension
order	the tensor order
data_ptr	pointer into the array

Definition at line 746 of file MiniTensor_TensorBase.h.

TensorBase() [12/12]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION minitensor::TensorBase< T, ST >::TensorBase

(

TensorBase< T, ST > const &

X

)

Copy constructor

Parameters

X	the values of its components are copied to the new tensor

Definition at line 761 of file MiniTensor_TensorBase.h.

operator=() [3/3]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION TensorBase< T, ST > & minitensor::TensorBase< T, ST >::operator=

(

TensorBase< T, ST > const &

X

)

Copy assignment

Parameters

X	the values of its components are copied to this tensor

Definition at line 782 of file MiniTensor_TensorBase.h.

operator[]() [5/6]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION T const & minitensor::TensorBase< T, ST >::operator[]

(

Index const

i

)

const

Linear access to components

Parameters

i

the index

Definition at line 835 of file MiniTensor_TensorBase.h.

operator[]() [6/6]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION T & minitensor::TensorBase< T, ST >::operator[]

(

Index const

i

)

Linear access to components

Parameters

i

the index

Definition at line 846 of file MiniTensor_TensorBase.h.

get_number_components()

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION Index minitensor::TensorBase< T, ST >::get_number_components

(

)

const

Returns

total number of components

Definition at line 857 of file MiniTensor_TensorBase.h.

fill() [1/10]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill

(

Filler const

value

)

Fill components with value

Parameters

value

all components are set equal to this specification

Definition at line 905 of file MiniTensor_TensorBase.h.

fill() [2/10]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill

(

T const &

s

)

Fill components with value

Parameters

s	all components are set equal to this value

Definition at line 1000 of file MiniTensor_TensorBase.h.

fill() [3/10]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill	(	ArrayT &	data,
		Index	index1
	)

Fill components from array defined by pointer.

Parameters

data	array to copy components from
index1	first fixed index into the array

Definition at line 1023 of file MiniTensor_TensorBase.h.

fill() [4/10]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill	(	ArrayT &	data,
		Index	index1,
		Index	index2
	)

Fill components from array.

Parameters

data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array

Definition at line 1055 of file MiniTensor_TensorBase.h.

fill() [5/10]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill	(	ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3
	)

Fill components from array.

Parameters

data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array

Definition at line 1111 of file MiniTensor_TensorBase.h.

fill() [6/10]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill	(	ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4
	)

Fill components from array.

Parameters

data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array

Definition at line 1178 of file MiniTensor_TensorBase.h.

fill() [7/10]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill	(	ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5
	)

Fill components from array.

Parameters

data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array
index5	fifth fixed index into the array

Definition at line 1259 of file MiniTensor_TensorBase.h.

fill() [8/10]

template<typename T , typename ST >

template<class ArrayT >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill	(	ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5,
		Index	index6
	)

Fill components from array.

Parameters

data	array to copy components from
index1	first fixed index into the array
index2	second fixed index into the array
index3	third fixed index into the array
index4	fourth fixed index into the array
index5	fifth fixed index into the array
index6	sixth fixed index into the array

Definition at line 1356 of file MiniTensor_TensorBase.h.

fill() [9/10]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill

(

T const *

data_ptr

)

Fill components from array defined by pointer.

Parameters

data_ptr

pointer into array for filling components

Definition at line 1470 of file MiniTensor_TensorBase.h.

fill() [10/10]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::fill	(	T const *	data_ptr,
		ComponentOrder const	component_order
	)

Fill components from array defined by pointer.

Parameters

data_ptr	pointer into array for filling components
component_order	component convention (3D only)

Definition at line 1490 of file MiniTensor_TensorBase.h.

operator+=()

template<typename T , typename ST >

template<typename S , typename SS >

KOKKOS_INLINE_FUNCTION TensorBase< T, ST > & minitensor::TensorBase< T, ST >::operator+=

(

TensorBase< S, SS > const &

X

)

Component increment

Parameters

X	components are added to current components

Definition at line 1566 of file MiniTensor_TensorBase.h.

operator-=()

template<typename T , typename ST >

template<typename S , typename SS >

KOKKOS_INLINE_FUNCTION TensorBase< T, ST > & minitensor::TensorBase< T, ST >::operator-=

(

TensorBase< S, SS > const &

X

)

Component decrement

Parameters

X	components are subtracted to current components

Definition at line 1587 of file MiniTensor_TensorBase.h.

operator*=()

template<typename T , typename ST >

template<typename S >

KOKKOS_INLINE_FUNCTION TensorBase< T, ST > & minitensor::TensorBase< T, ST >::operator*=

(

S const &

X

)

Component scale

Parameters

X	components are scaled by the parameter

Definition at line 1608 of file MiniTensor_TensorBase.h.

operator/=()

template<typename T , typename ST >

template<typename S >

KOKKOS_INLINE_FUNCTION TensorBase< T, ST > & minitensor::TensorBase< T, ST >::operator/=

(

S const &

X

)

Component divide

Parameters

X	components are divided by the parameter

Definition at line 1626 of file MiniTensor_TensorBase.h.

clear() [3/3]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::clear

(

)

Fill with zeros

Definition at line 1643 of file MiniTensor_TensorBase.h.

set_number_components()

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::set_number_components ( Index const  number_components )

protected

Parameters

number_components

set storage for this number of components

Definition at line 868 of file MiniTensor_TensorBase.h.

get_dimension() [4/5]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION Index minitensor::TensorBase< T, ST >::get_dimension ( Index const  order ) const

protected

Returns

dimension

Definition at line 806 of file MiniTensor_TensorBase.h.

set_dimension() [4/5]

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::TensorBase< T, ST >::set_dimension ( Index const  dimension, Index const  order  )

protected

Parameters

dimension
order

Definition at line 817 of file MiniTensor_TensorBase.h.

norm_f()

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION T minitensor::norm_f

(

TensorBase< T, ST > const &

X

)

Frobenius norm

Definition at line 1673 of file MiniTensor_TensorBase.h.

norm_f_square()

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION T minitensor::norm_f_square

(

TensorBase< T, ST > const &

X

)

Square of Frobenius norm

Definition at line 1655 of file MiniTensor_TensorBase.h.

add()

template<typename R , typename S , typename T , typename SR , typename SS , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::add	(	TensorBase< R, SR > const &	A,
		TensorBase< S, SS > const &	B,
		TensorBase< T, ST > &	C
	)

Base addition

Definition at line 1690 of file MiniTensor_TensorBase.h.

subtract()

template<typename R , typename S , typename T , typename SR , typename SS , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::subtract	(	TensorBase< R, SR > const &	A,
		TensorBase< S, SS > const &	B,
		TensorBase< T, ST > &	C
	)

Base subtraction

Definition at line 1716 of file MiniTensor_TensorBase.h.

minus()

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::minus	(	TensorBase< T, ST > const &	A,
		TensorBase< T, ST > &	B
	)

Base minus

Definition at line 1740 of file MiniTensor_TensorBase.h.

equal()

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION bool minitensor::equal	(	TensorBase< T, ST > const &	A,
		TensorBase< T, ST > const &	B
	)

Base equality

Definition at line 1760 of file MiniTensor_TensorBase.h.

not_equal()

template<typename T , typename ST >

KOKKOS_INLINE_FUNCTION bool minitensor::not_equal	(	TensorBase< T, ST > const &	A,
		TensorBase< T, ST > const &	B
	)

Base not equality

Definition at line 1780 of file MiniTensor_TensorBase.h.

scale()

template<typename R , typename S , typename T , typename SR , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::scale	(	TensorBase< R, SR > const &	A,
		S const &	s,
		TensorBase< T, ST > &	B
	)

Base scaling

Definition at line 1791 of file MiniTensor_TensorBase.h.

divide()

template<typename R , typename S , typename T , typename SR , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::divide	(	TensorBase< R, SR > const &	A,
		S const &	s,
		TensorBase< T, ST > &	B
	)

Base division

Definition at line 1811 of file MiniTensor_TensorBase.h.

split()

template<typename R , typename S , typename T , typename SR , typename ST >

KOKKOS_INLINE_FUNCTION void minitensor::split	(	TensorBase< R, SR > const &	A,
		S const &	s,
		TensorBase< T, ST > &	B
	)

Base split (scalar divided by tensor)

Definition at line 1831 of file MiniTensor_TensorBase.h.

get_order() [5/5]

template<typename T , Index N = DYNAMIC>

static KOKKOS_INLINE_FUNCTION constexpr Index minitensor::Vector< T, N >::get_order ( )

inlinestaticconstexpr

Vector order

Definition at line 65 of file MiniTensor_Vector.h.

Vector() [1/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector ( )

explicit

Construction that initializes to NaNs

Definition at line 640 of file MiniTensor_Vector.h.

Vector() [2/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector ( Index const  dimension )

explicit

Construction that initializes to NaNs.

Parameters

dimension

the space dimension

Definition at line 652 of file MiniTensor_Vector.h.

Vector() [3/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector ( Filler const  value )

explicit

Create vector from a specified value

Parameters

value

all components are set equal to this

Definition at line 671 of file MiniTensor_Vector.h.

Vector() [4/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector ( Index const  dimension, Filler const  value  )

explicit

Create vector from a specified value.

Parameters

dimension	the space dimension
value	all components are set equal to this

Definition at line 663 of file MiniTensor_Vector.h.

Vector() [5/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		ArrayT &	data,
		Index	index1
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array

Definition at line 683 of file MiniTensor_Vector.h.

Vector() [6/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array

Definition at line 695 of file MiniTensor_Vector.h.

Vector() [7/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array

Definition at line 708 of file MiniTensor_Vector.h.

Vector() [8/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array

Definition at line 722 of file MiniTensor_Vector.h.

Vector() [9/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array
index5	fifth index into the array

Definition at line 744 of file MiniTensor_Vector.h.

Vector() [10/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5,
		Index	index6
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array
index5	fifth index into the array
index6	sixth index into the array

Definition at line 768 of file MiniTensor_Vector.h.

Vector() [11/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		Index const	dimension,
		ArrayT &	data,
		Index	index1
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
dimension	the space dimension
data	array with source components
index1	first index into the array

Definition at line 794 of file MiniTensor_Vector.h.

Vector() [12/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		Index const	dimension,
		ArrayT &	data,
		Index	index1,
		Index	index2
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
dimension	the space dimension
data	array with source components
index1	first index into the array
index2	second index into the array

Definition at line 807 of file MiniTensor_Vector.h.

Vector() [13/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		Index const	dimension,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
dimension	the space dimension
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array

Definition at line 821 of file MiniTensor_Vector.h.

Vector() [14/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		Index const	dimension,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
dimension	the space dimension
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array

Definition at line 842 of file MiniTensor_Vector.h.

Vector() [15/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		Index const	dimension,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
dimension	the space dimension
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array
index5	fifth index into the array

Definition at line 865 of file MiniTensor_Vector.h.

Vector() [16/21]

template<typename T , Index N>

template<class ArrayT >

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Source const	source,
		Index const	dimension,
		ArrayT &	data,
		Index	index1,
		Index	index2,
		Index	index3,
		Index	index4,
		Index	index5,
		Index	index6
	)

Create vector from array.

Parameters

source	kind of data source (Source::ARRAY)
dimension	the space dimension
data	array with source components
index1	first index into the array
index2	second index into the array
index3	third index into the array
index4	fourth index into the array
index5	fifth index into the array
index6	sixth index into the array

Definition at line 890 of file MiniTensor_Vector.h.

Vector() [17/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector

(

T const *

data_ptr

)

Create vector from array defined by pointer.

Parameters

data_ptr

pointer into the array

Definition at line 925 of file MiniTensor_Vector.h.

Vector() [18/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	Index const	dimension,
		T const *	data_ptr
	)

Create vector from array defined by pointer.

Parameters

dimension	the space dimension
data_ptr	pointer into the array

Definition at line 917 of file MiniTensor_Vector.h.

Vector() [19/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector

(

Vector< T, N > const &

v

)

Copy constructor

Definition at line 936 of file MiniTensor_Vector.h.

Vector() [20/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	T const &	s0,
		T const &	s1
	)

Create vector specifying components

Parameters

s0	s1 are the vector components in the R^2 canonical basis
s1	second vector component in the R^2 canonical basis

Definition at line 947 of file MiniTensor_Vector.h.

Vector() [21/21]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::Vector	(	T const &	s0,
		T const &	s1,
		T const &	s2
	)

Create vector specifying components the vector components in the R^3 canonical basis

Parameters

s0	s1 s2 are the vector components in the R^3 canonical basis
s1	second vector component in the R^3 canonical basis
s2	third vector component in the R^3 canonical basis

Definition at line 965 of file MiniTensor_Vector.h.

~Vector()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION minitensor::Vector< T, N >::~Vector ( )

virtual

Simple destructor

Definition at line 984 of file MiniTensor_Vector.h.

operator()() [9/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T const & minitensor::Vector< T, N >::operator()

(

Index const

i

)

const

Indexing for constant vector

Parameters

i

the index

Definition at line 1040 of file MiniTensor_Vector.h.

operator()() [10/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T & minitensor::Vector< T, N >::operator()

(

Index const

i

)

Vector indexing

Parameters

i

the index

Definition at line 1051 of file MiniTensor_Vector.h.

operator()() [11/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T const & minitensor::Vector< T, N >::operator()	(	Index const	i,
		Index const
	)		const

const Vector indexing convenience operator for some algorithms

Parameters

i

the index

Definition at line 1062 of file MiniTensor_Vector.h.

operator()() [12/12]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T & minitensor::Vector< T, N >::operator()	(	Index const	i,
		Index const
	)

Vector indexing convenience operator for some algorithms

Parameters

i

the index

Definition at line 1073 of file MiniTensor_Vector.h.

get_dimension() [5/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Vector< T, N >::get_dimension

(

)

const

Returns

dimension

Definition at line 995 of file MiniTensor_Vector.h.

get_num_rows() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Vector< T, N >::get_num_rows

(

)

const

Returns

number rows

Definition at line 1006 of file MiniTensor_Vector.h.

get_num_cols() [3/3]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Index minitensor::Vector< T, N >::get_num_cols

(

)

const

Returns

number rows

Definition at line 1017 of file MiniTensor_Vector.h.

set_dimension() [5/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION void minitensor::Vector< T, N >::set_dimension

(

Index const

dimension

)

Parameters

dimension

of vector

Definition at line 1028 of file MiniTensor_Vector.h.

operator+() [5/5]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::operator+	(	Vector< S, N > const &	u,
		Vector< T, N > const &	v
	)

Vector addition

Returns

\( u + v \)

Definition at line 1084 of file MiniTensor_Vector.h.

operator-() [9/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::operator-	(	Vector< S, N > const &	u,
		Vector< T, N > const &	v
	)

Vector substraction

Returns

\( u - v \)

Definition at line 1100 of file MiniTensor_Vector.h.

operator-() [10/10]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< T, N > minitensor::operator-

(

Vector< T, N > const &

u

)

Vector minus

Returns

\( -u \)

Definition at line 1116 of file MiniTensor_Vector.h.

operator*() [17/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Promote< S, T >::type minitensor::operator*	(	Vector< S, N > const &	u,
		Vector< T, N > const &	v
	)

Vector dot product

Returns

\( u \cdot v \)

Definition at line 1132 of file MiniTensor_Vector.h.

operator==() [5/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator==	(	Vector< T, N > const &	u,
		Vector< T, N > const &	v
	)

Vector equality tested by components

Returns

\( u \equiv v \)

Definition at line 1144 of file MiniTensor_Vector.h.

operator!=() [5/5]

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION bool minitensor::operator!=	(	Vector< T, N > const &	u,
		Vector< T, N > const &	v
	)

Vector inequality tested by components

Returns

\( u \neq v \)

Definition at line 1156 of file MiniTensor_Vector.h.

operator*() [18/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_vector< Promote< S, T >, N > >::type minitensor::operator*	(	S const &	s,
		Vector< T, N > const &	u
	)

Scalar vector product

Parameters

s	scalar factor
u	vector factor

Returns

\( s u \)

Definition at line 1168 of file MiniTensor_Vector.h.

operator*() [19/19]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION lazy_disable_if< order_1234< S >, apply_vector< Promote< S, T >, N > >::type minitensor::operator*	(	Vector< T, N > const &	u,
		S const &	s
	)

Vector scalar product

Parameters

u	vector factor
s	scalar factor

Returns

\( s u \)

Definition at line 1185 of file MiniTensor_Vector.h.

operator/() [9/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::operator/	(	Vector< T, N > const &	u,
		S const &	s
	)

Vector scalar division

Parameters

u	vector
s	scalar that divides each component of vector

Returns

\( u / s \)

Definition at line 1201 of file MiniTensor_Vector.h.

operator/() [10/10]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::operator/	(	S const &	s,
		Vector< T, N > const &	u
	)

Scalar vector division

Parameters

s	scalar
u	vector that divides scalar with each component

Returns

\( s / u \)

Definition at line 1217 of file MiniTensor_Vector.h.

dot() [18/18]

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Promote< S, T >::type minitensor::dot	(	Vector< S, N > const &	u,
		Vector< T, N > const &	v
	)

Vector dot product

Returns

\( u \cdot v \)

Definition at line 1233 of file MiniTensor_Vector.h.

cross()

template<typename S , typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< typename Promote< S, T >::type, N > minitensor::cross	(	Vector< S, N > const &	u,
		Vector< T, N > const &	v
	)

Cross product only valid for R^3. R^N with N != 3 will produce an error.

Returns

\( u \times v \)

Definition at line 1270 of file MiniTensor_Vector.h.

norm()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T minitensor::norm

(

Vector< T, N > const &

u

)

Vector 2-norm

Returns

\( \sqrt{u \cdot u} \)

Definition at line 1304 of file MiniTensor_Vector.h.

norm_square()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T minitensor::norm_square

(

Vector< T, N > const &

u

)

Vector 2-norm square. Used for fast distance calculation.

Returns

\( u \cdot u \)

Definition at line 1321 of file MiniTensor_Vector.h.

norm_1()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T minitensor::norm_1

(

Vector< T, N > const &

u

)

Vector 1-norm

Returns

\( |u_0|+|u_1|+|u_2| \)

Definition at line 1355 of file MiniTensor_Vector.h.

norm_infinity()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION T minitensor::norm_infinity

(

Vector< T, N > const &

u

)

Vector infinity-norm

Returns

\( \max(|u_0|,|u_1|,|u_2|) \)

Definition at line 1390 of file MiniTensor_Vector.h.

unit()

template<typename T , Index N>

KOKKOS_INLINE_FUNCTION Vector< T, N > minitensor::unit

(

Vector< T, N > const &

u

)

Returns

u / |u|, fails for |u| = 0

Definition at line 1424 of file MiniTensor_Vector.h.

house()

template<typename T , Index N>

std::pair< Vector< T, N >, T > minitensor::house

(

Vector< T, N > const &

x

)

Compute Householder vector See algorithm 5.1.1, Matrix Computations 3rd ed, Golub - Van Loan \( Px = |X|e_1, P := I - \beta v v^T\)

Returns

v, beta

Definition at line 1433 of file MiniTensor_Vector.h.

operator>>() [5/5]

template<typename T , Index N>

std::istream & minitensor::operator>>	(	std::istream &	is,
		Vector< T, N > &	u
	)

Vector input

Parameters

u	vector
is	input stream

Returns

is input stream

Definition at line 1474 of file MiniTensor_Vector.h.

operator<<() [5/5]

template<typename T , Index N>

std::ostream & minitensor::operator<<	(	std::ostream &	os,
		Vector< T, N > const &	u
	)

Vector output

Parameters

u	vector
os	output stream

Returns

os output stream

Definition at line 1493 of file MiniTensor_Vector.h.

Variable Documentation

ORDER [1/5]

template<typename T , Index M = DYNAMIC, Index N = DYNAMIC>

constexpr Index minitensor::Matrix< T, M, N >::ORDER = 1

staticconstexpr

Order

Definition at line 46 of file MiniTensor_Matrix.h.

IS_DYNAMIC [1/7]

template<typename T , Index M = DYNAMIC, Index N = DYNAMIC>

constexpr bool minitensor::Matrix< T, M, N >::IS_DYNAMIC = (M == DYNAMIC || N == DYNAMIC)

staticconstexpr

Static or dynamic

Definition at line 53 of file MiniTensor_Matrix.h.

rows_

template<typename T , Index M = DYNAMIC, Index N = DYNAMIC>

Index minitensor::Matrix< T, M, N >::rows_ {M}

private

Number of rows.

Definition at line 428 of file MiniTensor_Matrix.h.

cols_

template<typename T , Index M = DYNAMIC, Index N = DYNAMIC>

Index minitensor::Matrix< T, M, N >::cols_ {N}

private

Number of columns.

Definition at line 434 of file MiniTensor_Matrix.h.

value [1/28]

template<Index N, Index C>

constexpr Index minitensor::dimension_const< N, C >::value = C

staticconstexpr

Resulting dimension: the constant C.

Definition at line 27 of file MiniTensor_Storage.h.

value [2/28]

template<Index C>

constexpr Index minitensor::dimension_const< DYNAMIC, C >::value = DYNAMIC

staticconstexpr

Resulting dimension: DYNAMIC.

Definition at line 38 of file MiniTensor_Storage.h.

maximum_dimension

template<Index D>

constexpr Index minitensor::check_static< D >::maximum_dimension

staticconstexpr

Initial value:

=
      static_cast<Index>(std::numeric_limits<Index>::digits)

Largest dimension allowed for static storage.

Definition at line 51 of file MiniTensor_Storage.h.

value [3/28]

template<Index D>

constexpr Index minitensor::check_static< D >::value = D

staticconstexpr

The validated dimension D.

Definition at line 60 of file MiniTensor_Storage.h.

value [4/28]

template<Index D, Index O>

constexpr Index minitensor::dimension_power< D, O >::value = 0

staticconstexpr

Result: 0 for orders without a specialization below.

Definition at line 87 of file MiniTensor_Storage.h.

value [5/28]

template<Index D>

constexpr Index minitensor::dimension_power< D, 1 >::value = D

staticconstexpr

Result: D.

Definition at line 98 of file MiniTensor_Storage.h.

value [6/28]

template<Index D>

constexpr Index minitensor::dimension_power< D, 2 >::value = D * D

staticconstexpr

Result: D * D.

Definition at line 109 of file MiniTensor_Storage.h.

value [7/28]

template<Index D>

constexpr Index minitensor::dimension_power< D, 3 >::value = D * D * D

staticconstexpr

Result: D * D * D.

Definition at line 120 of file MiniTensor_Storage.h.

value [8/28]

template<Index D>

constexpr Index minitensor::dimension_power< D, 4 >::value = D * D * D * D

staticconstexpr

Result: D * D * D * D.

Definition at line 131 of file MiniTensor_Storage.h.

value [9/28]

template<Index N>

constexpr Index minitensor::dimension_square< N >::value = 0

staticconstexpr

Result: 0 for dimensions without a specialization below.

Definition at line 140 of file MiniTensor_Storage.h.

value [10/28]

constexpr Index minitensor::dimension_square< DYNAMIC >::value = DYNAMIC

staticconstexpr

Result: DYNAMIC.

Definition at line 151 of file MiniTensor_Storage.h.

value [11/28]

minitensor::dimension_square< 1 >::value = 1

staticconstexpr

Result: 1.

Definition at line 157 of file MiniTensor_Storage.h.

value [12/28]

minitensor::dimension_square< 2 >::value = 4

staticconstexpr

Result: 4.

Definition at line 164 of file MiniTensor_Storage.h.

value [13/28]

minitensor::dimension_square< 3 >::value = 9

staticconstexpr

Result: 9.

Definition at line 171 of file MiniTensor_Storage.h.

value [14/28]

minitensor::dimension_square< 4 >::value = 16

staticconstexpr

Result: 16.

Definition at line 178 of file MiniTensor_Storage.h.

value [15/28]

template<Index N>

minitensor::dimension_sqrt< N >::value = 0

staticconstexpr

Result: 0 for dimensions without a specialization below.

Definition at line 185 of file MiniTensor_Storage.h.

value [16/28]

constexpr Index minitensor::dimension_sqrt< DYNAMIC >::value = DYNAMIC

staticconstexpr

Result: DYNAMIC.

Definition at line 197 of file MiniTensor_Storage.h.

value [17/28]

minitensor::dimension_sqrt< 1 >::value = 1

staticconstexpr

Result: 1.

Definition at line 203 of file MiniTensor_Storage.h.

value [18/28]

minitensor::dimension_sqrt< 4 >::value = 2

staticconstexpr

Result: 2.

Definition at line 210 of file MiniTensor_Storage.h.

value [19/28]

minitensor::dimension_sqrt< 9 >::value = 3

staticconstexpr

Result: 3.

Definition at line 217 of file MiniTensor_Storage.h.

value [20/28]

minitensor::dimension_sqrt< 16 >::value = 4

staticconstexpr

Result: 4.

Definition at line 224 of file MiniTensor_Storage.h.

value [21/28]

template<Index N, Index P>

constexpr Index minitensor::dimension_add< N, P >::value = N + P

staticconstexpr

Result: N + P.

Definition at line 234 of file MiniTensor_Storage.h.

value [22/28]

template<Index P>

constexpr Index minitensor::dimension_add< DYNAMIC, P >::value = DYNAMIC

staticconstexpr

Result: DYNAMIC.

Definition at line 245 of file MiniTensor_Storage.h.

value [23/28]

template<Index N, Index P>

constexpr Index minitensor::dimension_subtract< N, P >::value = N - P

staticconstexpr

Result: N - P.

Definition at line 256 of file MiniTensor_Storage.h.

value [24/28]

template<Index P>

constexpr Index minitensor::dimension_subtract< DYNAMIC, P >::value = DYNAMIC

staticconstexpr

Result: DYNAMIC.

Definition at line 267 of file MiniTensor_Storage.h.

value [25/28]

template<Index N, Index P>

constexpr Index minitensor::dimension_product< N, P >::value = N * P

staticconstexpr

Result: N * P.

Definition at line 278 of file MiniTensor_Storage.h.

value [26/28]

template<Index N>

constexpr Index minitensor::dimension_product< N, DYNAMIC >::value = DYNAMIC

staticconstexpr

Result: DYNAMIC.

Definition at line 289 of file MiniTensor_Storage.h.

value [27/28]

template<Index P>

constexpr Index minitensor::dimension_product< DYNAMIC, P >::value = DYNAMIC

staticconstexpr

Result: DYNAMIC.

Definition at line 300 of file MiniTensor_Storage.h.

value [28/28]

constexpr Index minitensor::dimension_product< DYNAMIC, DYNAMIC >::value = DYNAMIC

staticconstexpr

Result: DYNAMIC.

Definition at line 311 of file MiniTensor_Storage.h.

IS_STATIC [1/2]

template<typename T , Index N>

constexpr bool minitensor::Storage< T, N >::IS_STATIC = true

staticconstexpr

Storage policy flag: this is static storage.

Definition at line 350 of file MiniTensor_Storage.h.

IS_DYNAMIC [2/7]

template<typename T , Index N>

constexpr bool minitensor::Storage< T, N >::IS_DYNAMIC = false

staticconstexpr

Storage policy flag: this is not dynamic storage.

Definition at line 357 of file MiniTensor_Storage.h.

storage_ [1/2]

template<typename T , Index N>

T minitensor::Storage< T, N >::storage_[N]

private

Fixed-size array that holds the entries.

Definition at line 470 of file MiniTensor_Storage.h.

size_ [1/2]

template<typename T , Index N>

Index minitensor::Storage< T, N >::size_ {N}

private

Number of entries in use; defaults to the capacity N.

Definition at line 476 of file MiniTensor_Storage.h.

IS_DYNAMIC [3/7]

template<typename T >

constexpr bool minitensor::Storage< T, DYNAMIC >::IS_DYNAMIC = true

staticconstexpr

Storage policy flag: this is dynamic storage.

Definition at line 515 of file MiniTensor_Storage.h.

IS_STATIC [2/2]

template<typename T >

constexpr bool minitensor::Storage< T, DYNAMIC >::IS_STATIC = false

staticconstexpr

Storage policy flag: this is not static storage.

Definition at line 522 of file MiniTensor_Storage.h.

storage_ [2/2]

template<typename T >

T* minitensor::Storage< T, DYNAMIC >::storage_ {nullptr}

private

Pointer to the heap-allocated entries.

Definition at line 638 of file MiniTensor_Storage.h.

size_ [2/2]

template<typename T >

Index minitensor::Storage< T, DYNAMIC >::size_ {0}

private

Number of entries currently allocated.

Definition at line 644 of file MiniTensor_Storage.h.

ORDER [2/5]

template<typename T , Index N = DYNAMIC>

constexpr Index minitensor::Tensor< T, N >::ORDER = 2

staticconstexpr

Order

Definition at line 46 of file MiniTensor_Tensor.h.

IS_DYNAMIC [4/7]

template<typename T , Index N = DYNAMIC>

constexpr bool minitensor::Tensor< T, N >::IS_DYNAMIC = N == DYNAMIC

staticconstexpr

Static or dynamic

Definition at line 53 of file MiniTensor_Tensor.h.

ORDER [3/5]

template<typename T , Index N = DYNAMIC>

constexpr Index minitensor::Tensor3< T, N >::ORDER = 3

staticconstexpr

Order

Definition at line 41 of file MiniTensor_Tensor3.h.

IS_DYNAMIC [5/7]

template<typename T , Index N = DYNAMIC>

constexpr bool minitensor::Tensor3< T, N >::IS_DYNAMIC = N == DYNAMIC

staticconstexpr

Static or dynamic

Definition at line 48 of file MiniTensor_Tensor3.h.

ORDER [4/5]

template<typename T , Index N = DYNAMIC>

constexpr Index minitensor::Tensor4< T, N >::ORDER = 4

staticconstexpr

Order

Definition at line 41 of file MiniTensor_Tensor4.h.

IS_DYNAMIC [6/7]

template<typename T , Index N = DYNAMIC>

constexpr bool minitensor::Tensor4< T, N >::IS_DYNAMIC = N == DYNAMIC

staticconstexpr

Static or dynamic

Definition at line 48 of file MiniTensor_Tensor4.h.

components_

template<typename T , typename ST >

ST minitensor::TensorBase< T, ST >::components_

protected

TensorBase components

Definition at line 482 of file MiniTensor_TensorBase.h.

dimension_

template<typename T , typename ST >

Index minitensor::TensorBase< T, ST >::dimension_ {0}

protected

dimension

Definition at line 488 of file MiniTensor_TensorBase.h.

ORDER [5/5]

template<typename T , Index N = DYNAMIC>

constexpr Index minitensor::Vector< T, N >::ORDER = 1

staticconstexpr

Order

Definition at line 45 of file MiniTensor_Vector.h.

IS_DYNAMIC [7/7]

template<typename T , Index N = DYNAMIC>

constexpr bool minitensor::Vector< T, N >::IS_DYNAMIC = N == DYNAMIC

staticconstexpr

Static or dynamic

Definition at line 52 of file MiniTensor_Vector.h.