DualSimplexSolverORTools Class

Class DualSimplexSolverORTools is a class for solving linear programming prolems using the dual simplex method.

Inheritance Hierarchy

SystemObject
  CenterSpace.NMath.CoreConstrainedOptimizerORTools
    CenterSpace.NMath.CoreSimplexSolverBaseORTools
      CenterSpace.NMath.CoreDualSimplexSolverORTools

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

Syntax

C++

Copy

[SerializableAttribute]
public class DualSimplexSolverORTools : SimplexSolverBaseORTools, 
	ICloneable

<SerializableAttribute>
Public Class DualSimplexSolverORTools
	Inherits SimplexSolverBaseORTools
	Implements ICloneable

[SerializableAttribute]
public ref class DualSimplexSolverORTools : public SimplexSolverBaseORTools, 
	ICloneable

[<SerializableAttribute>]
type DualSimplexSolverORTools = 
    class
        inherit SimplexSolverBaseORTools
        interface ICloneable
    end

The DualSimplexSolverORTools type exposes the following members.

Constructors

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

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Properties

	Name	Description
	ExceptionMessage	If the solver result is SolverResult.UnexpectedException gets the exception message property. (Inherited from ConstrainedOptimizerORTools)
	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 ConstrainedOptimizerORTools)
	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 ConstrainedOptimizerORTools)
	PivotCount	Gets the number of simplex pivots performed. Includes both major and minor pivots. (Inherited from SimplexSolverBaseORTools)
	Result	Gets the result of the most recent solve attempt. (Inherited from ConstrainedOptimizerORTools)

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Methods

	Name	Description
	AddConstraints	Adds the linear constraints in the given linearly constrained problem to a Google OR-tools GLOP linear model. (Inherited from ConstrainedOptimizerORTools)
	AddVariablesAndBounds	Adds the variables in the given linearly constrained problem to a Google OR-tools GLOP linear model (Inherited from ConstrainedOptimizerORTools)
	Clone	Creates a deep copy of self.
	SetStatus	Sets the SolverResult value base on Google OR-Tools ResultStatus value. (Inherited from ConstrainedOptimizerORTools)
	Solve(LinearProgrammingProblem)	Solves a linear programming problem. (Inherited from SimplexSolverBaseORTools)
	Solve(MixedIntegerLinearProgrammingProblem)	Solves a mixed integer linear programming problem with default solver parameters. (Inherited from SimplexSolverBaseORTools)
	Solve(LinearProgrammingProblem, Boolean)	Solves the given linear programming problem using the given solver parameters.
	Solve(MixedIntegerLinearProgrammingProblem, Boolean)	Solves the given 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 given bounds. The solution maximizes the objective function. (Inherited from SimplexSolverBaseORTools)
	Solve(LinearProgrammingProblem, Boolean, IEnumerableInt32)	Solves a linear programming problem using the given solver parameters. (Inherited from SimplexSolverBaseORTools)
	Solve(DoubleVector, DoubleMatrix, DoubleVector, Int32, Int32, Int32, DoubleVector, DoubleVector)	Solves a linear programming problem with the given constraints and variable bounds. (Inherited from SimplexSolverBaseORTools)
	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. (Inherited from SimplexSolverBaseORTools)
	SolveNonnegative(DoubleVector, DoubleMatrix, DoubleVector, Int32, Int32, Int32)	Solves a linear system. The solution components are constrained to be nonnegative. (Inherited from SimplexSolverBaseORTools)
	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. (Inherited from SimplexSolverBaseORTools)

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Fields

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

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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. 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