Title |
Summary |
Primary Author |
Date |
|
This is a collection of routines comparing different iterative schemes
for approximating the solution of a system of linear equations. |
Bernd Flemisch |
2002-08-08 |
|
Conjugate Gradients method for solving a system of linear equations Ax = f . The matrix A must be symmetric and positive definite. |
Andreas Klimke |
2003-05-13 |
|
This GUI demonstrates the iterative methods to find eigenvalues of a given matrix, using power method, inverse power method and QR-Iteration. |
M2-TUM |
2004-01-13 |
|
Function Gauss_Seidel(A, b, N) iteratively solves a system of linear equations whereby A is the coefficient matrix, b the right-hand side column vector and N the maximum number of iterations. A transition/iteration matrix approach is implemented, with Tg |
Alain kapitho |
2007-08-14 |
|
resolvs a liniar sistem using iterativ method |
Ionescu Alin |
2007-05-15 |
|
GUI application for solving a system of equations using the Gradient and the Conjugate Gradients method. |
M2-TUM |
2003-05-23 |
|
This is a simple function to track the subspace of a signal |
Gurudatha Pai |
2009-01-15 |
|
multiple versions of the incomplete LU-factorization |
M2-TUM |
2009-07-30 |
|
An interactive environment for iterative solvers. |
Timo Betcke |
2003-05-19 |
|
Function Jacobi(A, b, N) iteratively solves a system of linear equations whereby A is the coefficient matrix, b the right-hand side column vector and N the maximum number of iterations. As with the Gauss_Seidel(A, b, N) function, a transition matrix appro |
Alain kapitho |
2007-08-14 |
|
Function that allows to solve linear systems by the Jacobi's iterative method. |
Alexeis Companioni |
2008-05-04 |
|
Multigrid solver for scalar linear elliptic PDEs. Beat the direct solver! |
Bernd Flemisch |
2004-03-29 |
|
solves the systems of linear equations
(A'*A+TAU(I)*EYE(N))*X(:,I)=A'*B (I=1:L)
for X with the multishift CGLS algorithm.
The matlab code is written by Gerard Sleijpen and Jasper van den Eshof. |
Jasper van den Eshof |
2004-05-21 |
|
This project simulate numerically the process of solution of orange droplet in a soup. Program is written in Matlab environment and uses a userfriendly interface to show the solution process versus time.
|
Ahmad Kolahi |
2005-07-31 |
|
Preconditioned conjugate gradients with extremal eigenvalue estimates |
Talal Rahman |
2002-04-16 |
|
Implementation of the preconditioned gradients method, including examples for Jacobi & Gauss-Seidel preconditioners. |
Andreas Klimke |
2003-05-13 |
|
Function that allows to solve linear systems by the Seidel's iterative method. |
Alexeis Companioni |
2008-05-04 |
|
Comparison regarding convergence rate of the Jacobi, Gauss-Seidel, and optimum SOR iterative linear equation system solvers for the laplace equation. |
Andreas Klimke |
2002-05-06 |
|
Function SOR(A,b,N) solves iteratively the linear system Ax = b, N being the maximum number of iterations. Iterations are implemented in matrix form as x(k+1) = Tw*x(k) + c, with Tw being the transition/iteration matrix and c a constant vector. the optim |
Alain kapitho |
2007-08-14 |