Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4635445 | Applied Mathematics and Computation | 2007 | 16 Pages |
Abstract
The aim of this work is to propose four preconditioners in order to resolve linear systems Ax=bAx=b, where A is a symmetric positive definite matrix. To do so, the iterative method of the preconditioned conjugate gradient is applied. The first three preconditioners are obtained from the quasi-newtonian method as an approximate inverse of the matrix A . The fourth is an approximate inverse A∼-1 calculated by the algorithm (A∼I). This algorithm derives from (AIAI) proposed to compute the inverse of regular matrices.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Mongi Benhamadou,