dc.contributor.advisor | Duan, Ye | eng |
dc.contributor.author | Li, Xiangge | eng |
dc.date.issued | 2013 | eng |
dc.date.submitted | 2013 Spring | eng |
dc.description | Title from PDF of title page (University of Missouri--Columbia, viewed on September 11, 2013). | eng |
dc.description | The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. | eng |
dc.description | Thesis advisor: Ye Duan | eng |
dc.description | Includes bibliographical references. | eng |
dc.description | M.S. University of Missouri--Columbia 2013. | eng |
dc.description | Dissertations, Academic -- University of Missouri--Columbia -- Computer science. | eng |
dc.description | "May 2013" | eng |
dc.description.abstract | Matrix solvers play a crucial role in solving real world physics problem. In engineering practice, transition analysis is most often used, which requires a series of similar matrices to be solved. However, any specific solver with/without preconditioner cannot achieve high performance gain for all matrices. This paper recommends Conjugate Gradient iterative solver with SSOR approximate inverse preconditioner for general engineering practice instead of Conjugate Gradient alone. The author uses experiments on 125 symmetric positive definite matrices derived from real structural problems to endorse this recommendation. SSOR approximate inverse preconditioner shows a competitive advantage to provide stable performance improvement (average 12.6x speedup to CG). And, a general setting (ω = 0.01 ) will effectively prevent the failure of SSOR approximate inverse preconditioner among a wide range of data derived from analysis of structural problems. | eng |
dc.format.extent | ix, 59 pages | eng |
dc.identifier.uri | http://hdl.handle.net/10355/37966 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Graduate School. Theses and Dissertations | eng |
dc.source | Submitted by the University of Missouri--Columbia Graduate School | eng |
dc.subject | conjugate gradient | eng |
dc.subject | approximate inverse | eng |
dc.subject | matrix solvers | eng |
dc.title | Preconditioned conjugate gradient solver for structural problems | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Computer science (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Masters | eng |
thesis.degree.name | M.S. | eng |