On the Relation between the AINV and the FAPINV Algorithms

The approximate inverse (AINV) and the factored approximate inverse (FAPINV) are two known algorithms in the field of preconditioning of linear systems of equations. Both of these algorithms compute a sparse approximate inverse of matrix 𝐴 in the factored form and are based on computing two sets of...

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Main Authors: Davod Khojasteh Salkuyeh, Hadi Roohani
Format: Article
Language:English
Published: Wiley 2009-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2009/179481
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author Davod Khojasteh Salkuyeh
Hadi Roohani
author_facet Davod Khojasteh Salkuyeh
Hadi Roohani
author_sort Davod Khojasteh Salkuyeh
collection DOAJ
description The approximate inverse (AINV) and the factored approximate inverse (FAPINV) are two known algorithms in the field of preconditioning of linear systems of equations. Both of these algorithms compute a sparse approximate inverse of matrix 𝐴 in the factored form and are based on computing two sets of vectors which are 𝐴-biconjugate. The AINV algorithm computes the inverse factors 𝑊 and 𝑍 of a matrix independently of each other, as opposed to the AINV algorithm, where the computations of the inverse factors are done independently. In this paper, we show that, without any dropping, removing the dependence of the computations of the inverse factors in the FAPINV algorithm results in the AINV algorithm.
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spelling doaj-art-da306ba98eb14aa4829789ad232f75552025-02-03T06:01:22ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252009-01-01200910.1155/2009/179481179481On the Relation between the AINV and the FAPINV AlgorithmsDavod Khojasteh Salkuyeh0Hadi Roohani1Department of Mathematics, University of Mohaghegh Ardabili, P.O. Box 179, Ardabil, IranDepartment of Mathematics, University of Mohaghegh Ardabili, P.O. Box 179, Ardabil, IranThe approximate inverse (AINV) and the factored approximate inverse (FAPINV) are two known algorithms in the field of preconditioning of linear systems of equations. Both of these algorithms compute a sparse approximate inverse of matrix 𝐴 in the factored form and are based on computing two sets of vectors which are 𝐴-biconjugate. The AINV algorithm computes the inverse factors 𝑊 and 𝑍 of a matrix independently of each other, as opposed to the AINV algorithm, where the computations of the inverse factors are done independently. In this paper, we show that, without any dropping, removing the dependence of the computations of the inverse factors in the FAPINV algorithm results in the AINV algorithm.http://dx.doi.org/10.1155/2009/179481
spellingShingle Davod Khojasteh Salkuyeh
Hadi Roohani
On the Relation between the AINV and the FAPINV Algorithms
International Journal of Mathematics and Mathematical Sciences
title On the Relation between the AINV and the FAPINV Algorithms
title_full On the Relation between the AINV and the FAPINV Algorithms
title_fullStr On the Relation between the AINV and the FAPINV Algorithms
title_full_unstemmed On the Relation between the AINV and the FAPINV Algorithms
title_short On the Relation between the AINV and the FAPINV Algorithms
title_sort on the relation between the ainv and the fapinv algorithms
url http://dx.doi.org/10.1155/2009/179481
work_keys_str_mv AT davodkhojastehsalkuyeh ontherelationbetweentheainvandthefapinvalgorithms
AT hadiroohani ontherelationbetweentheainvandthefapinvalgorithms