DocumentCode
1114550
Title
Rank-Augmented LU-Algorithm for Computing Generalized Matrix Inverses
Author
Sen, S.K. ; Krishnamurthy, E.V.
Author_Institution
Computer Centre, Indian Institute of Science
Issue
2
fYear
1974
Firstpage
199
Lastpage
201
Abstract
A rank-augmnented LU-algorithm is suggested for computing a generalized inverse of a matrix. Initially suitable diagonal corrections are introduced in (the symmetrized form of) the given matrix to facilitate decomposition; a backward-correction scheme then yields a desired generalized inverse.
Keywords
Generalized inverse, Hermite-difference matrix, least squares g-inverse, LU-algorithm, minimum norm g-inverse, pseudo-inverse, redundant conrection.; Least squares approximation; Least squares methods; Matrix decomposition; Generalized inverse, Hermite-difference matrix, least squares g-inverse, LU-algorithm, minimum norm g-inverse, pseudo-inverse, redundant conrection.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1974.223888
Filename
1672481
Link To Document