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minitensor::Matyas< S, M > Class Template Reference

#include <MiniTensor_TestFunctions.h>

Inheritance diagram for minitensor::Matyas< S, M >:
minitensor::Function_Base< FunctionDerived, S, M >

Public Types

using Base = Function_Base< Matyas< S, M >, S, M >
 

Public Member Functions

 Matyas ()
 
template<typename T , Index N>
value (Vector< T, N > const &x)
 
template<typename T , Index N>
Vector< T, N > gradient (Vector< T, N > const &x) const
 
template<typename T , Index N>
Tensor< T, N > hessian (Vector< T, N > const &x)
 
- Public Member Functions inherited from minitensor::Function_Base< FunctionDerived, S, M >
 Function_Base ()
 
template<typename T , Index N>
value (FunctionDerived &f, Vector< T, N > const &x)
 
template<typename T , Index N>
Vector< T, N > gradient (FunctionDerived &f, Vector< T, N > const &x)
 
template<typename T , Index N>
Vector< T, N > residual (FunctionDerived &f, Vector< T, N > const &x)
 
template<typename T , Index N>
Tensor< T, N > hessian (FunctionDerived &f, Vector< T, N > const &x)
 
void set_failed (char const *const msg=nullptr)
 
bool get_failed ()
 
void clear_failed ()
 
void set_failure_message (char const *const msg=nullptr)
 
char const * get_failure_message ()
 

Static Public Attributes

static constexpr char const *const NAME {"Matyas"}
 
- Static Public Attributes inherited from minitensor::Function_Base< FunctionDerived, S, M >
static constexpr Index DIMENSION {M}
 

Additional Inherited Members

- Protected Attributes inherited from minitensor::Function_Base< FunctionDerived, S, M >
bool failed {false}
 
char const * failure_message {nullptr}
 Keep a message to inform what went wrong above.
 

Detailed Description

template<typename S, Index M = 2>
class minitensor::Matyas< S, M >

Matyas function NLS: the residual is the gradient of \( 0.26(x_1^2+x_2^2) - 0.48 x_1 x_2 \). Two-dimensional, convex but ill-conditioned; minimum at the origin.

Definition at line 403 of file MiniTensor_TestFunctions.h.

Member Typedef Documentation

◆ Base

template<typename S , Index M = 2>
using minitensor::Matyas< S, M >::Base = Function_Base<Matyas<S, M>, S, M>

Base class type.

Definition at line 422 of file MiniTensor_TestFunctions.h.

Constructor & Destructor Documentation

◆ Matyas()

template<typename S , Index M = 2>
minitensor::Matyas< S, M >::Matyas ( )
inline

Constructor.

Definition at line 410 of file MiniTensor_TestFunctions.h.

Member Function Documentation

◆ value()

template<typename S , Index M = 2>
template<typename T , Index N>
T minitensor::Matyas< S, M >::value ( Vector< T, N > const &  x)
inline

Objective value.

Definition at line 430 of file MiniTensor_TestFunctions.h.

◆ gradient()

template<typename S , Index M = 2>
template<typename T , Index N>
Vector< T, N > minitensor::Matyas< S, M >::gradient ( Vector< T, N > const &  x) const
inline

Gradient of the objective.

Definition at line 441 of file MiniTensor_TestFunctions.h.

◆ hessian()

template<typename S , Index M = 2>
template<typename T , Index N>
Tensor< T, N > minitensor::Matyas< S, M >::hessian ( Vector< T, N > const &  x)
inline

Hessian of the objective.

Definition at line 463 of file MiniTensor_TestFunctions.h.

Member Data Documentation

◆ NAME

template<typename S , Index M = 2>
constexpr char const* const minitensor::Matyas< S, M >::NAME {"Matyas"}
staticconstexpr

Function name.

Definition at line 417 of file MiniTensor_TestFunctions.h.


The documentation for this class was generated from the following file: