IterativeSparseSolver<T> Class

public abstract class IterativeSparseSolver<T> : ManagedIterativeAlgorithm<DenseVector<T>, T, SolutionReport<DenseVector<T>, T>>

Public MustInherit Class IterativeSparseSolver(Of T)
	Inherits ManagedIterativeAlgorithm(Of DenseVector(Of T), T, SolutionReport(Of DenseVector(Of T), T))

generic<typename T>
public ref class IterativeSparseSolver abstract : public ManagedIterativeAlgorithm<DenseVector<T>^, T, SolutionReport<DenseVector<T>^, T>^>

[<AbstractClassAttribute>]
type IterativeSparseSolver<'T> = 
    class
        inherit ManagedIterativeAlgorithm<DenseVector<'T>, 'T, SolutionReport<DenseVector<'T>, 'T>>
    end

Inheritance

Object  →  ManagedIterativeAlgorithm<DenseVector<T>, T, SolutionReport<DenseVector<T>, T>>  →  IterativeSparseSolver<T>

Derived

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.BiConjugateGradientSolver<T>

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.BiConjugateGradientStabilizedSolver<T>

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.ConjugateGradientSolver<T>

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.ConjugateGradientSquaredSolver<T>

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.GaussSeidelSolver<T>

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.GeneralizedMinimalResidualSolver<T>

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.JacobiSolver<T>

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.QuasiMinimalResidualSolver<T>

Extreme.Mathematics.LinearAlgebra.IterativeSolvers.SuccessiveOverRelaxationSolver<T>

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Type Parameters

T

IterativeSparseSolver<T> serves as the abstract base class for classes that implement iterative solvers for sparse linear systems.

The only operation the matrix of the linear system must support is matrix-vector multiplication. All matrix types support this operation, but any object whose type inherits from LinearOperator will do.

IterativeSparseSolver<T> is an abstract base class and cannot be instantiated directly. Instead, use one of the derived classes:

To solve a system of equations, create a new instance of one of the classes above and pass the matrix or linear operator to the constructor. You can optionally set the Preconditioner property to a corresponding instance of one of the Preconditioner<T> classes. Finally, call the Solve() method to run the algorithm.

Reference