slp::NewtonMatrixCallbacks< Scalar > Struct Template Reference

#include <sleipnir/optimization/solver/newton_matrix_callbacks.hpp>

Public Attributes
std::function< Scalar(const Eigen::Vector< Scalar, Eigen::Dynamic > &x)>	f
std::function< Eigen::SparseVector< Scalar >(const Eigen::Vector< Scalar, Eigen::Dynamic > &x)>	g
std::function< Eigen::SparseMatrix< Scalar >(const Eigen::Vector< Scalar, Eigen::Dynamic > &x)>	H

Detailed Description

template<typename Scalar>
struct slp::NewtonMatrixCallbacks< Scalar >

Matrix callbacks for the Newton's method solver.

Template Parameters

Scalar

Scalar type.

Member Data Documentation

f

template<typename Scalar >

std::function<Scalar(const Eigen::Vector<Scalar, Eigen::Dynamic>& x)> slp::NewtonMatrixCallbacks< Scalar >::f

Cost function value f(x) getter.

Variable	Rows	Columns
x	num_decision_variables	1
f(x)	1	1

g

template<typename Scalar >

std::function<Eigen::SparseVector<Scalar>( const Eigen::Vector<Scalar, Eigen::Dynamic>& x)> slp::NewtonMatrixCallbacks< Scalar >::g

Cost function gradient ∇f(x) getter.

Variable	Rows	Columns
x	num_decision_variables	1
∇f(x)	num_decision_variables	1

H

template<typename Scalar >

std::function<Eigen::SparseMatrix<Scalar>( const Eigen::Vector<Scalar, Eigen::Dynamic>& x)> slp::NewtonMatrixCallbacks< Scalar >::H

Lagrangian Hessian ∇ₓₓ²L(x) getter.

L(xₖ) = f(xₖ)

Variable	Rows	Columns
x	num_decision_variables	1
∇ₓₓ²L(x)	num_decision_variables	num_decision_variables

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

• include/sleipnir/optimization/solver/newton_matrix_callbacks.hpp