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The recursive block method applied to the solution of a linear system.

机译:递归块方法应用于线性系统的解。

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摘要

A recursive block algorithm for solving a linear system is developed, analyzed and tested in this thesis. The method is basically a recursive block version of Gaussian elimination. The theory of the algorithm is analyzed in detail and the computation cost of the algorithm is estimated. Codes written in both Matlab and FORTRAN were used to test the algorithm and these codes are attached as an appendix. The new method is comparable in execution speed and memory requirements to the standard Gaussian elimination algorithm. The analysis and tests of the algorithm indicate that this algorithm is reliable and effective and can be applied to the solution of a practical problem. It solves a linear system with good precision and high speed as Gaussian elimination. Improvement of the algorithm is recommended in order to apply it to sparse linear systems, and to linear systems with a coefficient matrix of a specialized matrix (e.g. symmetric, banded etc.)
机译:本文开发,分析和测试了求解线性系统的递归块算法。该方法基本上是高斯消除的递归块版本。详细分析了该算法的原理,并估算了该算法的计算成本。用Matlab和FORTRAN编写的代码都用于测试算法,这些代码作为附录附后。该新方法的执行速度和内存要求与标准高斯消除算法相当。对该算法的分析和测试表明,该算法可靠有效,可用于解决实际问题。它解决了具有高精确度和高速度的线性系统,从而消除了高斯。建议对算法进行改进,以将其应用于稀疏线性系统以及系数矩阵为专用矩阵(例如对称,带状等)的线性系统

著录项

  • 作者

    Dai, Yue.;

  • 作者单位

    University of Manitoba (Canada).;

  • 授予单位 University of Manitoba (Canada).;
  • 学科 Mathematics.
  • 学位 M.Sc.
  • 年度 1995
  • 页码 146 p.
  • 总页数 146
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学;
  • 关键词

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