Reaktoro  A unified framework for modeling chemically reactive systems
Reaktoro::OptimumSolverKarpov Class Reference

## Detailed Description

The class that implements an optimization algorithm based on Karpov's method.

#include <OptimumSolverKarpov.hpp>

Inheritance diagram for Reaktoro::OptimumSolverKarpov:
Collaboration diagram for Reaktoro::OptimumSolverKarpov:

## Public Member Functions

OptimumSolverKarpov ()
Construct a default OptimumSolverKarpov instance.

OptimumSolverKarpov (const OptimumSolverKarpov &other)
Construct a copy of an OptimumSolverKarpov instance.

virtual ~OptimumSolverKarpov ()
Destroy this OptimumSolverKarpov instance.

auto operator= (OptimumSolverKarpov other) -> OptimumSolverKarpov &
Assign a copy of an OptimumSolverKarpov instance.

virtual auto solve (const OptimumProblem &problem, OptimumState &state) -> OptimumResult
Solve the linear optimisation problem by finding a feasible point and then applying a simplex algorithm. More...

virtual auto solve (const OptimumProblem &problem, OptimumState &state, const OptimumOptions &options) -> OptimumResult
Solve the linear optimisation problem by finding a feasible point and then applying a simplex algorithm. More...

virtual auto dxdp (const Vector &dgdp, const Vector &dbdp) -> Vector
Return the sensitivity dx/dp of the solution x with respect to a vector of parameters p. More...

virtual auto clone () const -> OptimumSolverBase *
Return a clone of this instance.

Public Member Functions inherited from Reaktoro::OptimumSolverBase
virtual ~OptimumSolverBase ()=0
Pure virtual destructor.

## Member Function Documentation

 auto Reaktoro::OptimumSolverKarpov::solve ( const OptimumProblem & problem, OptimumState & state ) -> OptimumResult
virtual

Solve the linear optimisation problem by finding a feasible point and then applying a simplex algorithm.

Parameters
 problem The definition of the linear optimisation problem state[in,out] The initial guess and the final state of the optimisation approximation

Implements Reaktoro::OptimumSolverBase.

 auto Reaktoro::OptimumSolverKarpov::solve ( const OptimumProblem & problem, OptimumState & state, const OptimumOptions & options ) -> OptimumResult
virtual

Solve the linear optimisation problem by finding a feasible point and then applying a simplex algorithm.

Parameters
 problem The definition of the linear optimisation problem state[in,out] The initial guess and the final state of the optimisation approximation options The options for the optimisation calculation

Implements Reaktoro::OptimumSolverBase.

 auto Reaktoro::OptimumSolverKarpov::dxdp ( const Vector & dgdp, const Vector & dbdp ) -> Vector
virtual

Return the sensitivity dx/dp of the solution x with respect to a vector of parameters p.

Parameters
 dgdp The derivatives dg/dp of the objective gradient grad(f) with respect to the parameters p dbdp The derivatives db/dp of the vector b with respect to the parameters p

Implements Reaktoro::OptimumSolverBase.

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