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Parallel Approaches for Intervals Analysis of Variable Statistics in Large and Sparse Linear Equations with RHS Ranges
| Content Provider | Semantic Scholar |
|---|---|
| Author | Charnsethikul, P. |
| Copyright Year | 2007 |
| Abstract | This study proposes an algorithm capable of working in parallel for solving large and sparse linear equations under given right hand side (RHS) ranges. A comparative study to the direct linear programming method is reported theoretically, computationally and discussed. Moreover, the approach can be adapted for the system under domain decompositions structure leading to a better efficiency experimentally. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://thescipub.com/PDF/ajassp.2007.300.306.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Confidence Intervals Domain decomposition methods Experiment Linear equation Linear programming Map (parallel pattern) Sparse matrix System of linear equations |
| Content Type | Text |
| Resource Type | Article |