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  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
    • BiConjugateGradientSolver(T) Class
    • BiConjugateGradientStabilizedSolver(T) Class
    • ConjugateGradientSolver(T) Class
    • ConjugateGradientSquaredSolver(T) Class
    • GaussSeidelSolver(T) Class
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  • BiConjugateGradientStabilizedSolver(T) Class
    • BiConjugateGradientStabilizedSolver(T) Constructor
    • BiConjugateGradientStabilizedSolver(T) Properties
    • Methods

BiConjugateGradientStabilizedSolverT Class

Extreme Optimization Numerical Libraries for .NET Professional
Constructs a new sparse linear solver that uses the bi-conjugate gradient algorithm.
Inheritance Hierarchy

SystemObject
  Extreme.Mathematics.AlgorithmsManagedIterativeAlgorithmDenseVectorT, T, SolutionReportDenseVectorT, T
    Extreme.Mathematics.LinearAlgebra.IterativeSolversIterativeSparseSolverT
      Extreme.Mathematics.LinearAlgebra.IterativeSolversBiConjugateGradientStabilizedSolverT

Namespace:  Extreme.Mathematics.LinearAlgebra.IterativeSolvers
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

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public class BiConjugateGradientStabilizedSolver<T> : IterativeSparseSolver<T>
Public Class BiConjugateGradientStabilizedSolver(Of T)
	Inherits IterativeSparseSolver(Of T)
generic<typename T>
public ref class BiConjugateGradientStabilizedSolver : public IterativeSparseSolver<T>
type BiConjugateGradientStabilizedSolver<'T> =  
    class
        inherit IterativeSparseSolver<'T>
    end

Type Parameters

T

The BiConjugateGradientStabilizedSolverT type exposes the following members.

Constructors

  NameDescription
Public methodBiConjugateGradientStabilizedSolverT
Constructs a new iterative sparse solver object.
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Properties

  NameDescription
Public propertyConvergenceTests
Gets the collection of convergence tests for the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyEstimatedError
Gets a value indicating the size of the absolute error of the result.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyEvaluationsNeeded
Gets the number of evaluations needed to execute the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected propertyEvaluationsRemaining
Gets the number of evaluations still available.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyHasSharedDegreeOfParallelism
Indicates whether the degree of parallelism is a property that is shared across instances.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyInitialGuess
Gets or sets the solution of the system of equations.
(Inherited from IterativeSparseSolverT.)
Public propertyIterationsNeeded
Gets the number of iterations needed by the algorithm to reach the desired accuracy.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected propertyIterationsRemaining
Gets the number of iterations remaining.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyLastCorrection
Gets the vector containing the residuals of the solution.
(Inherited from IterativeSparseSolverT.)
Public propertyLeftPreconditioner
Gets or sets the PreconditionerT.
(Inherited from IterativeSparseSolverT.)
Public propertyLinearOperator
Gets the sparse matrix of the system of equations.
(Inherited from IterativeSparseSolverT.)
Public propertyMaxDegreeOfParallelism
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyMaxEvaluations
Gets or sets the maximum number of evaluations during the calculation.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyMaxIterations
Gets or sets the maximum number of iterations to use when approximating the roots of the target function.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyMinIterations
Gets or sets the minimum iterations that have to be performed.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyParallelOptions
Gets or sets the configuration for the parallel behavior of the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyPreconditioner
Gets or sets the PreconditionerT.
(Inherited from IterativeSparseSolverT.)
Public propertyResiduals
Gets the vector containing the residuals of the solution.
(Inherited from IterativeSparseSolverT.)
Public propertyResidualTest
Gets the convergence test based on the size of the residuals.
(Inherited from IterativeSparseSolverT.)
Public propertyResult
Gets or sets the solution of the system of equations.
(Inherited from IterativeSparseSolverT.)
Public propertyRightHandSide
Gets or sets the right hand side of the system of equations.
(Inherited from IterativeSparseSolverT.)
Public propertySolutionReport
Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertySolutionTest
Gets the convergence test based on the size of the residuals.
(Inherited from IterativeSparseSolverT.)
Public propertyStatus
Gets the AlgorithmStatus following an execution of the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public propertyThrowExceptionOnFailure
Gets or sets a value indicating whether to throw an exception when the algorithm fails to converge.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
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Methods

  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodIncrementEvaluations
Increments the number of evaluations by one.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodIncrementEvaluations(Int32)
Increments the number of evaluations by the specified amount.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodIterate
Performs one iteration of the algorithm.
(Overrides ManagedIterativeAlgorithmT, TError, TReportIterate.)
Protected methodIterated
Performs operations after the iteration stage of the algorithm is complete.
(Inherited from IterativeSparseSolverT.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Protected methodOnConvergence
Performs any tasks after the main algorithm has converged.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodOnFailure
Performs any tasks after the main algorithm has failed to converge.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodOnInit
Performs initialization tasks when the algorithm is first run.
(Overrides IterativeSparseSolverTOnInit.)
Protected methodReportFailure
Records the results of an algorithm in case it fails.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodReportResult
Records the results of an algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodReportSuccess
Records the results of a algorithm that converged successfully.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodResetEvaluations
Resets the number of evaluations to zero.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodRestart
Prepares the algorithm to be run again with possibly different inputs.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodRun
Runs the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodRun(ParallelOptions)
Runs the algorithm using the specified parallelization options.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodSetResult
Sets the results of an algorithm's execution.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public methodSolve
Solves the system of equations and returns the solution.
(Inherited from IterativeSparseSolverT.)
Public methodSolve(VectorT)
Solves the system of equations for the specified right-hand side and returns the result.
(Inherited from IterativeSparseSolverT.)
Public methodSolve(VectorT, VectorT)
Solves the system of equations for the specified right-hand side and returns the result.
(Inherited from IterativeSparseSolverT.)
Protected methodTestConvergence
Checks whether the algorithm has converged.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodThreadSafeIncrementEvaluations
Increments the number of evaluations by one.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodThreadSafeIncrementEvaluations(Int32)
Increments the number of evaluations by the specified amount.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Protected methodThrowConvergenceException
Interprets the AlgorithmStatus and throws the appropriate exception.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Remarks

Use the BiConjugateGradientStabilizedSolverT class to solve large, non-symmetric sparse systems of equations using the Stabilized Bi-Conjugate Gradient method (BiCGStab). Convergence is more stable than the Conjugate Gradient Squared (CGS) method.

To solve a system of equations using this class, construct a new instance, passing the matrix of the system to the constructor. You can optionally set a preconditioner by setting the Preconditioner property. By default, a JacobiPreconditionerT is used. Finally, the Solve method solves the system.

Once the algorithm finished, the Status property indicates whether the algorithm completed successfully.

See Also

Reference

Extreme.Mathematics.LinearAlgebra.IterativeSolvers Namespace

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