DocumentCode :
10989
Title :
Tridiagonal systems, and the evaluation of polynomials revisited [CRUNCH]
Author :
Dyer, Stephen A.
Author_Institution :
Kansas State University
Volume :
18
Issue :
4
fYear :
2015
fDate :
Aug-15
Firstpage :
25
Lastpage :
27
Abstract :
In the previous installment, we looked at some generalpurpose linear solvers???some approaches to solving systems of simultaneous linear algebraic equations for cases in which there are no distinctive features offered by the coefficient matrix used in the description of the system. We concentrated on Gaussian elimination and LU decomposition. The computational effort required to solve an n-square system via either of those techniques is O(n3), although, as was pointed out, solution via LU decomposition requires only O(n2) arithmetic operations after the factorization is complete. Thus, solving a system of linear equations for more than one right-hand side (i.e., for more than one forcing vector) enjoys significant computational economy when LU decomposition is employed instead of Gaussian elimination.
Keywords :
Approximation methods; Bandwidth; Mathematical model; Matrix decomposition; Polynomials;
fLanguage :
English
Journal_Title :
Instrumentation & Measurement Magazine, IEEE
Publisher :
ieee
ISSN :
1094-6969
Type :
jour
DOI :
10.1109/MIM.2015.7155769
Filename :
7155769
Link To Document :
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