slp::NewtonMatrixCallbacks Struct Reference

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

Public Attributes
std::function< double(const Eigen::VectorXd &x)>	f
std::function< Eigen::SparseVector< double >(const Eigen::VectorXd &x)>	g
std::function< Eigen::SparseMatrix< double >(const Eigen::VectorXd &x)>	H

Detailed Description

Matrix callbacks for the Newton's method solver.

Member Data Documentation

f

std::function<double(const Eigen::VectorXd& x)> slp::NewtonMatrixCallbacks::f

Cost function value f(x) getter.

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

g

std::function<Eigen::SparseVector<double>(const Eigen::VectorXd& x)> slp::NewtonMatrixCallbacks::g

Cost function gradient ∇f(x) getter.

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

H

std::function<Eigen::SparseMatrix<double>(const Eigen::VectorXd& x)> slp::NewtonMatrixCallbacks::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.hpp