DocumentCode
1232731
Title
Order-recursive Gaussian elimination
Author
Misra, Pradeep
Author_Institution
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Volume
32
Issue
1
fYear
1996
Firstpage
396
Lastpage
400
Abstract
Gaussian elimination with partial pivoting is the most favored technique for solution of a system of linear algebraic equations. However, in the existing form the algorithm requires the entire data before it can be implemented. In some applications, the data matrix is recursively augmented with new row and column vectors. Recomputing the entire solution from a scratch becomes expensive 𝒪(n 4). We propose an order-recursive version of Gaussian elimination with complexity 𝒪(n 3) to solve the recursively augmented system of equation.
Keywords
Gaussian processes; filtering theory; linear algebra; recursive estimation; data matrix; linear algebraic equations; order-recursive Gaussian elimination; order-recursive version; partial pivoting; recomputing; recursively augmented system of equation; Argon; Computational efficiency; Eigenvalues and eigenfunctions; Equations; Filtering theory; Interpolation; Kalman filters; Optical computing; Signal processing; Signal processing algorithms; Vectors;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.481279
Filename
481279
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