OptimumSolver Class Reference

The friendly interface to all optimisation algorithms. More...

#include <OptimumSolver.hpp>

Public Member Functions
	OptimumSolver ()
	Construct a default OptimumSolver instance.
	OptimumSolver (OptimumMethod method)
	Construct an OptimumSolver instance with given method.
	OptimumSolver (const OptimumSolver &other)
	Construct a copy of an OptimumSolver instance.
virtual	~OptimumSolver ()
	Destroy this OptimumSolver instance.
auto	operator= (OptimumSolver other) -> OptimumSolver &
	Assign a copy of an OptimumSolver instance.
auto	setMethod (OptimumMethod method) -> void
	Set the optimisation method.
auto	approximate (const OptimumProblem &problem, OptimumState &state) -> OptimumResult
	Find an initial guess for an optimisation problem. More...
auto	approximate (const OptimumProblem &problem, OptimumState &state, const OptimumOptions &options) -> OptimumResult
	Find an initial guess for an optimisation problem with given options. More...
auto	solve (const OptimumProblem &problem, OptimumState &state) -> OptimumResult
	Solve an optimisation problem. More...
auto	solve (const OptimumProblem &problem, OptimumState &state, const OptimumOptions &options) -> OptimumResult
	Solve an optimisation problem with given options. More...
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...

Detailed Description

The friendly interface to all optimisation algorithms.

Member Function Documentation

approximate() [1/2]

auto approximate	(	const OptimumProblem &	problem,
		OptimumState &	state
	)		-> OptimumResult

Find an initial guess for an optimisation problem.

Parameters

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

approximate() [2/2]

auto approximate	(	const OptimumProblem &	problem,
		OptimumState &	state,
		const OptimumOptions &	options
	)		-> OptimumResult

Find an initial guess for an optimisation problem with given options.

Parameters

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

solve() [1/2]

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

Solve an optimisation problem.

Parameters

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

solve() [2/2]

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

Solve an optimisation problem with given options.

Parameters

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

dxdp()

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.

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

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

• Reaktoro/Optimization/OptimumSolver.hpp
• Reaktoro/Optimization/OptimumSolver.cpp