Abstract
Gaussian elimination with partial pivoting achieved by adding the pivot row to the kth row at step k, was introduced by Onaga and Takechi in 1986 as a means for reducing communications in parallel implementations. In this paper it is shown that the growth factor of this partial pivoting algorithm is bounded above by μn < 3n-1, as compared to 2n-1 for the standard partial pivoting. This bound μn, close to 3n-2, is attainable for a class of near-singular matrices. Moreover, for the same matrices the growth factor is small under partial pivoting.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 633-639 |
| Number of pages | 7 |
| Journal | BIT Numerical Mathematics |
| Volume | 41 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2001 |
Keywords
- Gaussian elimination
- Growth factor
- Parallel algorithm
- Stability
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Computational Mathematics
- Applied Mathematics
Fingerprint
Dive into the research topics of 'Stability of a pivoting strategy for parallel Gaussian elimination'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS