// <copyright file="IPreConditioner.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://numerics.mathdotnet.com
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// http://github.com/mathnet/mathnet-numerics
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//
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// Copyright (c) 2009-2014 Math.NET
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using System;
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namespace IStation.Numerics.LinearAlgebra.Solvers
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{
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/// <summary>
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/// The base interface for preconditioner classes.
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/// </summary>
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/// <remarks>
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/// <para>
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/// Preconditioners are used by iterative solvers to improve the convergence
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/// speed of the solving process. Increase in convergence speed
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/// is related to the number of iterations necessary to get a converged solution.
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/// So while in general the use of a preconditioner means that the iterative
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/// solver will perform fewer iterations it does not guarantee that the actual
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/// solution time decreases given that some preconditioners can be expensive to
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/// setup and run.
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/// </para>
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/// <para>
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/// Note that in general changes to the matrix will invalidate the preconditioner
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/// if the changes occur after creating the preconditioner.
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/// </para>
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/// </remarks>
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public interface IPreconditioner<T> where T : struct, IEquatable<T>, IFormattable
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{
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/// <summary>
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/// Initializes the preconditioner and loads the internal data structures.
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/// </summary>
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/// <param name="matrix">The matrix on which the preconditioner is based.</param>
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void Initialize(Matrix<T> matrix);
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/// <summary>
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/// Approximates the solution to the matrix equation <b>Mx = b</b>.
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/// </summary>
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/// <param name="rhs">The right hand side vector.</param>
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/// <param name="lhs">The left hand side vector. Also known as the result vector.</param>
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void Approximate(Vector<T> rhs, Vector<T> lhs);
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}
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}
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