首页> 外文期刊>American journal of applied sciences >Parallel Approaches for Intervals Analysis of Variable Statistics in Large and Sparse Linear Equations with RHS Ranges | Science Publications
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Parallel Approaches for Intervals Analysis of Variable Statistics in Large and Sparse Linear Equations with RHS Ranges | Science Publications

机译:RHS范围的大型和稀疏线性方程组的变量统计信息的区间分析的并行方法科学出版物

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> 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.
机译: >这项研究提出了一种能够并行工作的算法,用于在给定的右侧(RHS)范围内求解大型稀疏线性方程。在理论上,计算上和讨论上都对直接线性规划方法进行了比较研究。而且,该方法可以适用于域分解结构下的系统,从而通过实验获得更好的效率。

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