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StochasticHillClimbingSolver Methods

The StochasticHillClimbingSolver type exposes the following members.

Methods
 NameDescription
Protected methodAddConstraints Adds the linear constraints in the given linearly constrained problem to a Microsoft Solver Foundation linear model.
(Inherited from ConstrainedOptimizer)
Protected methodAddVariablesAndBounds Adds the variables in the given linearly constrained problem to a Microsoft Solver Foundation linear model.
(Inherited from ConstrainedOptimizer)
Protected methodSetStatus Sets the SolverResult value base on the give Microsoft Solver Foundation LinearResult value.
(Inherited from ConstrainedOptimizer)
Public methodSolve(MixedIntegerNonlinearProgrammingProblem) Attempts to solve the given mixed integer nonlinear programming problem using default settings.
Public methodSolve(NonlinearProgrammingProblem) Attempts to solve the given nonlinear programming problem using default settings.
Public methodSolve(MixedIntegerNonlinearProgrammingProblem, DoubleVector) Attempts to solve the given mixed integer nonlinear programming problem using default settings and the given starting point.
Public methodSolve(MixedIntegerNonlinearProgrammingProblem, StochasticHillClimbingParameters) Attempts to solve the given mixed integer nonlinear programming problem using the given solver parameters.
Public methodSolve(NonlinearProgrammingProblem, DoubleVector) Attempts to solve the given nonlinear programming problem using default settings and the given starting point.
Public methodSolve(NonlinearProgrammingProblem, StochasticHillClimbingParameters) Attempts to solve the given nonlinear programming problem using the given solver parameters.
Public methodSolve(MixedIntegerNonlinearProgrammingProblem, DoubleVector, StochasticHillClimbingParameters) Attempts to solve the given nonlinear mixed integer programming problem using the given solver parameters and starting point.
Public methodSolve(NonlinearProgrammingProblem, DoubleVector, StochasticHillClimbingParameters) Attempts to solve the given nonlinear programming problem using the given solver parameters and starting point.
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