On the Relation between the AINV and the FAPINV Algorithms
Author(s) -
Davod Khojasteh Salkuyeh,
Hadi Roohani Ghehsareh
Publication year - 2009
Publication title -
international journal of mathematics and mathematical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 39
eISSN - 1687-0425
pISSN - 0161-1712
DOI - 10.1155/2009/179481
Subject(s) - mathematics , inverse , computation , algorithm , matrix (chemical analysis) , relation (database) , inverse problem , field (mathematics) , computer science , pure mathematics , mathematical analysis , materials science , geometry , database , composite material
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 in the factored form and are based on computing two sets of vectors which are -biconjugate. The AINV algorithm computes the inverse factors and 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 thedependence of the computations of the inverse factors in the FAPINV algorithm results in the AINV algorithm
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