OptimumSolverActNewton.hpp
57 virtual auto solve(const OptimumProblem& problem, OptimumState& state, const OptimumOptions& options) -> OptimumResult;
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.
Definition: OptimumSolverActNewton.cpp:470
The base class for all optimization algorithms.
Definition: OptimumSolverBase.hpp:36
A type that describes the non-linear constrained optimisation problem.
Definition: OptimumProblem.hpp:49
The class that implements the ActNewton algorithm using an active-set strategy.
Definition: OptimumSolverActNewton.hpp:34
The namespace containing all components of the Reaktoro library.
Definition: ChemicalScalar.hpp:24
virtual ~OptimumSolverActNewton()
Destroy this OptimumSolverActNewton instance.
Definition: OptimumSolverActNewton.cpp:451
A type that describes the options of a optimisation calculation.
Definition: OptimumOptions.hpp:187
virtual auto clone() const -> OptimumSolverBase *
Return a clone of this instance.
Definition: OptimumSolverActNewton.cpp:477
A type that describes the state of an optimum solution.
Definition: OptimumState.hpp:29
A type that describes the result of an optimisation calculation.
Definition: OptimumResult.hpp:24
auto operator=(OptimumSolverActNewton other) -> OptimumSolverActNewton &
Assign an OptimumSolverActNewton instance to this.
Definition: OptimumSolverActNewton.cpp:454
virtual auto solve(const OptimumProblem &problem, OptimumState &state) -> OptimumResult
Solve an optimisation problem.
Definition: OptimumSolverActNewton.cpp:460
OptimumSolverActNewton()
Construct a default OptimumSolverActNewton instance.
Definition: OptimumSolverActNewton.cpp:443
Eigen::Ref< const Eigen::VectorXd > VectorConstRef
< Alias to Eigen type Ref<VectorXd>.
Definition: Matrix.hpp:31