Reaktoro
A unified framework for modeling chemically reactive systems
OptimumSolverIpNewton Class Reference

The class that implements the IpNewton algorithm using an interior-point method. More...

#include <OptimumSolverIpNewton.hpp>

Inheritance diagram for OptimumSolverIpNewton:
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Collaboration diagram for OptimumSolverIpNewton:
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Public Member Functions

 OptimumSolverIpNewton ()
 Construct a default OptimumSolverIpNewton instance.
 
 OptimumSolverIpNewton (const OptimumSolverIpNewton &other)
 Construct a copy of an OptimumSolverIpNewton instance.
 
virtual ~OptimumSolverIpNewton ()
 Destroy this OptimumSolverIpNewton instance.
 
auto operator= (OptimumSolverIpNewton other) -> OptimumSolverIpNewton &
 Assign an OptimumSolverIpNewton instance to this.
 
virtual auto solve (const OptimumProblem &problem, OptimumState &state) -> OptimumResult
 Solve an optimisation problem. More...
 
virtual auto solve (const OptimumProblem &problem, OptimumState &state, const OptimumOptions &options) -> OptimumResult
 Solve an optimisation problem with given options. More...
 
virtual auto dxdp (VectorConstRef dgdp, VectorConstRef 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 OptimumSolverBase
virtual ~OptimumSolverBase ()=0
 Pure virtual destructor.
 

Detailed Description

The class that implements the IpNewton algorithm using an interior-point method.

Member Function Documentation

auto solve ( const OptimumProblem problem,
OptimumState state 
) -> OptimumResult
virtual

Solve an optimisation problem.

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

Implements OptimumSolverBase.

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

Solve an optimisation problem with given options.

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

Implements OptimumSolverBase.

auto dxdp ( VectorConstRef  dgdp,
VectorConstRef  dbdp 
) -> Vector
virtual

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

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

Implements OptimumSolverBase.


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