Article ID Journal Published Year Pages File Type
4642910 Journal of Computational and Applied Mathematics 2007 12 Pages PDF
Abstract

Several definitions of growth factors for Gaussian elimination are compared. Some new pivoting strategies, intermediate between partial pivoting and rook pivoting, are introduced. For random matrices, an approximation of the average normalized growth factor associated with several pivoting strategies is computed and analyzed. A stationary behavior of the expected growth factors of the new pivoting strategies is observed. Bounds for the growth factors of these pivoting strategies are provided. It is also shown that partial pivoting by columns produces small growth factors for matrices appearing in practical observations and for which the growth factors produced by partial pivoting are very large.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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