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 :
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