Optimist  0.0.0
A C++ library for optimization
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Optimist::TestSet::Rosenbrock< Real, N > Class Template Reference

Class container for the extended Rosenbrock function. More...

#include <Rosenbrock.hh>

Inherits Optimist::Function< Real, N, N, Rosenbrock< Real, N > >.

Public Member Functions

 Rosenbrock ()
std::string name_impl () const
bool evaluate_impl (InputVector const &x, OutputVector &out) const
bool first_derivative_impl (InputVector const &x, Matrix &out) const
bool second_derivative_impl (InputVector const &, Tensor &out) const
Public Member Functions inherited from Optimist::Function< Real, N, N, Rosenbrock< Real, N > >
 Function ()
std::string name () const
bool evaluate (const InputVector &x, OutputVector &out) const
bool jacobian (const InputVector &x, Matrix &out) const
bool hessian (const InputVector &x, Tensor &out) const
Public Member Functions inherited from Optimist::FunctionBase< Real, N, M, Rosenbrock< Real, N >, false >
 FunctionBase ()
std::string name () const
bool evaluate (const InputType &x, OutputType &out) const
bool first_derivative (const InputType &x, FirstDerivativeType &out) const
bool second_derivative (const InputType &x, SecondDerivativeType &out) const
constexpr Integer input_dimension () const
constexpr Integer output_dimension () const
const std::vector< InputType > & solutions () const
const std::vector< InputType > & guesses () const
const InputTypesolution (Integer const i) const
const InputTypeguess (Integer const i) const
bool is_solution (const InputType &x, Real const tol=EPSILON_LOW) const

Additional Inherited Members

Public Types inherited from Optimist::Function< Real, N, N, Rosenbrock< Real, N > >
using InputVector
using OutputVector
using Matrix
using Tensor
Public Types inherited from Optimist::FunctionBase< Real, N, M, Rosenbrock< Real, N >, false >
using InputType
using OutputType
using FirstDerivativeType
using SecondDerivativeType
Protected Attributes inherited from Optimist::FunctionBase< Real, N, M, Rosenbrock< Real, N >, false >
std::vector< InputTypem_solutions
std::vector< InputTypem_guesses

Detailed Description

template<typename Real, Integer N>
class Optimist::TestSet::Rosenbrock< Real, N >

Class container for the extended Rosenbrock function, which defined as:

\[\mathbf{f}(\mathbf{x}) = \begin{bmatrix} 10(x_2 - x_1^2) \\ 1 - x_1 \\ 10(x_4 - x_3^2) \\ 1 - x_3 \\ \vdots \\ 10(x_N - x_{N-1}^2) \\ 1 - x_{N-1} \end{bmatrix} \text{.} \]

The function has one solution at \(\mathbf{x} = [1, \dots 1]^\top\), with \(f(\mathbf{x}) = 0\). The initial guess is \(x_i = [-1.2, 1, -1.2, 1, \dots, -1.2, 1]^\top\).

Template Parameters
RealScalar number type.
NDimension of the function.

Constructor & Destructor Documentation

◆ Rosenbrock()

template<typename Real, Integer N>
Optimist::TestSet::Rosenbrock< Real, N >::Rosenbrock ( )
inline

Class constructor for the extended Rosenbrock function.

Member Function Documentation

◆ evaluate_impl()

template<typename Real, Integer N>
bool Optimist::TestSet::Rosenbrock< Real, N >::evaluate_impl ( InputVector const & x,
OutputVector & out ) const
inline

Compute the function value at the input point.

Parameters
[in]xInput point.
[out]outThe function value.
Returns
The boolean flag for successful evaluation.

◆ first_derivative_impl()

template<typename Real, Integer N>
bool Optimist::TestSet::Rosenbrock< Real, N >::first_derivative_impl ( InputVector const & x,
Matrix & out ) const
inline

Compute the first derivative value at the input point.

Parameters
[in]xInput point.
[out]outThe first derivative value.
Returns
The boolean flag for successful evaluation.

◆ name_impl()

template<typename Real, Integer N>
std::string Optimist::TestSet::Rosenbrock< Real, N >::name_impl ( ) const
inline

Get the function name.

Returns
The function name.

◆ second_derivative_impl()

template<typename Real, Integer N>
bool Optimist::TestSet::Rosenbrock< Real, N >::second_derivative_impl ( InputVector const & ,
Tensor & out ) const
inline

Compute the second derivative value at the input point.

Parameters
[in]xInput point.
[out]outThe second derivative value.
Returns
The boolean flag for successful evaluation.

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