proxsuite-nlp
0.10.0
A primal-dual augmented Lagrangian-type solver for nonlinear programming on manifolds.
|
Basic backtracking Armijo line-search strategy. More...
#include <proxsuite-nlp/linesearch-armijo.hpp>
Public Types | |
using | Base = Linesearch<Scalar> |
using | FunctionSample = typename Base::FunctionSample |
using | Polynomial = PolynomialTpl<Scalar> |
using | VectorXs = typename math_types<Scalar>::VectorXs |
using | Matrix2s = Eigen::Matrix<Scalar, 2, 2> |
using | Vector2s = Eigen::Matrix<Scalar, 2, 1> |
using | fun_t = std::function<Scalar(Scalar)> |
Public Member Functions | |
ArmijoLinesearch (const typename Base::Options &options) | |
Scalar | run (fun_t phi, const Scalar phi0, const Scalar dphi0, Scalar &alpha_try) |
Scalar | minimize_interpolant (LSInterpolation strat, Scalar min_step_size, Scalar max_step_size) |
Propose a new candidate step size through safeguarded interpolation. | |
Public Member Functions inherited from proxsuite::nlp::Linesearch< Scalar > | |
Linesearch (const Linesearch::Options &options) | |
~Linesearch () | |
void | setOptions (const Linesearch::Options &options) |
void | reset () |
Protected Attributes | |
Polynomial | interpolant |
std::vector< FunctionSample > | samples |
Additional Inherited Members | |
Public Attributes inherited from proxsuite::nlp::Linesearch< Scalar > | |
Linesearch::Options | options_ |
Basic backtracking Armijo line-search strategy.
Definition at line 45 of file linesearch-armijo.hpp.
using proxsuite::nlp::ArmijoLinesearch< Scalar >::Base = Linesearch<Scalar> |
Definition at line 47 of file linesearch-armijo.hpp.
using proxsuite::nlp::ArmijoLinesearch< Scalar >::FunctionSample = typename Base::FunctionSample |
Definition at line 49 of file linesearch-armijo.hpp.
using proxsuite::nlp::ArmijoLinesearch< Scalar >::Polynomial = PolynomialTpl<Scalar> |
Definition at line 50 of file linesearch-armijo.hpp.
using proxsuite::nlp::ArmijoLinesearch< Scalar >::VectorXs = typename math_types<Scalar>::VectorXs |
Definition at line 51 of file linesearch-armijo.hpp.
using proxsuite::nlp::ArmijoLinesearch< Scalar >::Matrix2s = Eigen::Matrix<Scalar, 2, 2> |
Definition at line 52 of file linesearch-armijo.hpp.
using proxsuite::nlp::ArmijoLinesearch< Scalar >::Vector2s = Eigen::Matrix<Scalar, 2, 1> |
Definition at line 53 of file linesearch-armijo.hpp.
using proxsuite::nlp::ArmijoLinesearch< Scalar >::fun_t = std::function<Scalar(Scalar)> |
Definition at line 57 of file linesearch-armijo.hpp.
|
inline |
Definition at line 55 of file linesearch-armijo.hpp.
|
inline |
Definition at line 59 of file linesearch-armijo.hpp.
|
inline |
Propose a new candidate step size through safeguarded interpolation.
Solver for the 2x2 linear system
Definition at line 150 of file linesearch-armijo.hpp.
|
protected |
Definition at line 225 of file linesearch-armijo.hpp.
|
protected |
Definition at line 226 of file linesearch-armijo.hpp.