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A Generalized Sylvester Identity and Fraction-free Random Gaussian Elimination

✍ Scribed by Thom Mulders


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
278 KB
Volume
31
Category
Article
ISSN
0747-7171

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✦ Synopsis


Sylvester's identity is a well-known identity that can be used to prove that certain Gaussian elimination algorithms are fraction free. In this paper we will generalize Sylvester's identity and use it to prove that certain random Gaussian elimination algorithms are fraction free. This can be used to yield fraction free algorithms for solving Ax = b (x ≥ 0) and for the simplex method in linear programming.