SuccessiveOverRelaxationSolver<T> Class

public class SuccessiveOverRelaxationSolver<T> : IterativeSparseSolver<T>

Public Class SuccessiveOverRelaxationSolver(Of T)
	Inherits IterativeSparseSolver(Of T)

generic<typename T>
public ref class SuccessiveOverRelaxationSolver : public IterativeSparseSolver<T>

type SuccessiveOverRelaxationSolver<'T> = 
    class
        inherit IterativeSparseSolver<'T>
    end

Inheritance

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

Type Parameters

T

Use the SuccessiveOverRelaxationSolver<T> class to solve large, sparse systems of equations using the Successive Over-Relaxation (SOR) method. This method is sometimes called the method of successive displacements.

To solve a system of equations using this class, construct a new instance, passing the matrix of the system to the constructor. THe relaxation factor, which must be between 0 and 2, can be passed in as a second argument to the constructor, or it can be set through the RelaxationFactor property. The default value is 1.5. Finally, the Solve() method solves the system.

Preconditioners cannot be used with this method.

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

Reference