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MiniTensor Version of the Day
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#include <MiniTensor_TestFunctions.h>
Public Types | |
| using | Base = Function_Base< Banana< S, M >, S, M > |
Public Member Functions | |
| Banana () | |
| template<typename T , Index N> | |
| T | 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> | |
| T | 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 {"Rosenbrock's Banana"} |
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. | |
Rosenbrock's banana function as an NLS: the residual is the gradient of \( (1-x_1)^2 + 100(x_2-x_1^2)^2 \). Two-dimensional; its curved, flat-bottomed valley stresses step control. Minimum at \( (1, 1) \).
Definition at line 324 of file MiniTensor_TestFunctions.h.
| using minitensor::Banana< S, M >::Base = Function_Base<Banana<S, M>, S, M> |
Base class type.
Definition at line 345 of file MiniTensor_TestFunctions.h.
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inline |
Constructor.
Definition at line 331 of file MiniTensor_TestFunctions.h.
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inline |
Objective value.
Definition at line 353 of file MiniTensor_TestFunctions.h.
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inline |
Gradient of the objective.
Definition at line 364 of file MiniTensor_TestFunctions.h.
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Hessian of the objective.
Definition at line 386 of file MiniTensor_TestFunctions.h.
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staticconstexpr |
Function name.
Definition at line 340 of file MiniTensor_TestFunctions.h.