SimplexSolverBase Class

Note: This API is now obsolete.

Class SimplexSolverBase is an abstract base class for classes solving mixed integer linear programming prolems using variants of the simplex method.

Inheritance Hierarchy

SystemObject
  CenterSpace.NMath.CoreConstrainedOptimizer
    CenterSpace.NMath.CoreSimplexSolverBase
      CenterSpace.NMath.CoreDualSimplexSolver
      CenterSpace.NMath.CorePrimalSimplexSolver

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

C++

Copy

[SerializableAttribute]
[ObsoleteAttribute("Instead use SimplexSolverBaseORTools")]
public abstract class SimplexSolverBase : ConstrainedOptimizer

<SerializableAttribute>
<ObsoleteAttribute("Instead use SimplexSolverBaseORTools")>
Public MustInherit Class SimplexSolverBase
	Inherits ConstrainedOptimizer

[SerializableAttribute]
[ObsoleteAttribute(L"Instead use SimplexSolverBaseORTools")]
public ref class SimplexSolverBase abstract : public ConstrainedOptimizer

[<AbstractClassAttribute>]
[<SerializableAttribute>]
[<ObsoleteAttribute("Instead use SimplexSolverBaseORTools")>]
type SimplexSolverBase = 
    class
        inherit ConstrainedOptimizer
    end

The SimplexSolverBase type exposes the following members.

Constructors

	Name	Description
	SimplexSolverBase	Constructs a SimplexSolverBase instance.
	SimplexSolverBase(SimplexSolverBase)	Copy constructor

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Properties

	Name	Description
	ExceptionMessage	If the solver result is SolverResult.UnexpectedException gets the exception message property. (Inherited from ConstrainedOptimizer)
	OptimalObjectiveFunctionValue	Gets the optimal objective function value if the solve result is SolverResult.Optimal, or the current solution value if the result is SolverResult.SolutionFeasibleButNotOptimal Otherwise the value is Double.NaN. (Inherited from ConstrainedOptimizer)
	OptimalX	Gets the optimal value if the solve result is SolverResult.Optimal, or the current solution value if the result is SolverResult.SolutionFeasibleButNotOptimal Contains an empty vector otherwise. (Inherited from ConstrainedOptimizer)
	PivotCount	Gets the number of simplex pivots performed. Includes both major and minor pivots.
	Result	Gets the result of the most recent solve attempt. (Inherited from ConstrainedOptimizer)

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Methods

	Name	Description
	AddConstraints	Adds the linear constraints in the given linearly constrained problem to a Microsoft Solver Foundation linear model. (Inherited from ConstrainedOptimizer)
	AddVariablesAndBounds	Adds the variables in the given linearly constrained problem to a Microsoft Solver Foundation linear model. (Inherited from ConstrainedOptimizer)
	Check	Checks bounds and constraints.
	CheckBounds(DoubleVector, DoubleVector)	Checks validity of variable upper bounds.
	CheckBounds(DoubleVector, DoubleVector, DoubleVector)	Checks variable bounds.
	CheckConstraints	Checks constraints validity.
	GetMSFSolverParams	Takes the given set of solver parameters and translates them into Microsoft Solver Foundation parameters.
	SetStatus	Sets the SolverResult value base on the give Microsoft Solver Foundation LinearResult value. (Inherited from ConstrainedOptimizer)
	Solve(LinearProgrammingProblem)	Solves a linear programming problem.
	Solve(MixedIntegerLinearProgrammingProblem)	Solves a mixed integer linear programming problem with default solver parameters.
	Solve(MixedIntegerLinearProgrammingProblem, SimplexSolverMixedIntParams)	Solves a mixed integer linear programming problem using the given solver parameters.
	Solve(MixedIntegerLinearProgrammingProblem, SimplexSolverParamsBase)	Solves a mixed integer linear programming problem using the given solver parameters.
	Solve(DoubleVector, DoubleVector, DoubleVector)	Solves a linear programming problems where the variables are constrained by the give bounds. The solution maximizes the objective function.
	Solve(MixedIntegerLinearProgrammingProblem, SimplexSolverParamsBase, SimplexSolverMixedIntParams)	Solves a mixed integer linear programming problem using the given simplex and mixed integer solver parameters.
	Solve(LinearProgrammingProblem, SimplexSolverParamsBase, IEnumerableInt32, SimplexSolverMixedIntParams)	Solvers a linear programming problem using the given solver parameters.
	Solve(DoubleVector, DoubleMatrix, DoubleVector, Int32, Int32, Int32, DoubleVector, DoubleVector)	Solves a linear programming problem with the given constraints and variable bounds.
	SolveNonnegative(DoubleVector, DoubleVector)	Solves a linear programming problem. Solution values are constrained by upper bounds and lower bounds of zero. The solution maximizes the objective function.
	SolveNonnegative(DoubleVector, DoubleMatrix, DoubleVector, Int32, Int32, Int32)	Solves a linear system. The solution components are constrained to be nonnegative.
	SolveNonnegative(DoubleVector, DoubleMatrix, DoubleVector, Int32, Int32, Int32, DoubleVector)	Solves a linear programming problem with the given constraints. The solution maximizes the objective function and its components are constrained to be nonnegative.

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Fields

	Name	Description
	exceptionMessage_	Constains exception message if there is an unexpected exception during the solve. (Inherited from ConstrainedOptimizer)
	optimalValue_	Optimal value of the objective function if the the result of the solver is SolveResult.Optimal (Inherited from ConstrainedOptimizer)
	optimalX_	Optimal solution value of the the result if the solver is SolveResult.Optimal (Inherited from ConstrainedOptimizer)
	result_	Result of the solver attempt. (Inherited from ConstrainedOptimizer)

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Remarks

A linear programming (LP) problem optimizes a linear objective function subject to a set of linear constraints, and optionally subject to a set of variable bounds. Variables may further be constrained to integer values. The simplex method solves LP problems by constructing a solution at a vertex of a simplex, then walking along edges of the simplex to vertices with successively optimal values of the objective function until the optimum is reached. For example:

Reference

CenterSpace.NMath.Core Namespace