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Graph algorithms in the language of linear algebra

机译:线性代数语言的图算法

摘要

The thesis presents usefulness of duality between graph and his adjacency matrix. The teoretical part provides the basis of graph theory and matrix algebra mainly focusing on sparse matrices and options of their presentation witch takes into account the number of nonzero elements in the matrix. The thesis includes presentation of possible operations on sparse matrices and algorithms that basically work on graphs, but with help of duality between graph and his adjacency matrix can be presented with sequence of operations on matrices.udPractical part presents implementation of some algorithms that can work both with graphs or their adjacency matrices in programming language Java and testing algorithms that work with matrices.udIt focuses on comparison in efficiency of algorithm working with matrix written in standard mode and with matrix written in format for sparse matrices. It also studies witch presentation of matrices works beter for witch algorithm.ud
机译:本文提出了图与其邻接矩阵对偶的有用性。理论部分提供了图论和矩阵代数的基础,主要着眼于稀疏矩阵,并且它们的表示方式的选择考虑了矩阵中非零元素的数量。论文包括对稀疏矩阵的可能运算以及基本上在图上工作的算法的介绍,但借助图和他的邻接矩阵之间的对偶关系,可以通过对矩阵的运算序列来表示。两者都以图形或Java编程语言中的邻接矩阵以及使用该矩阵的算法进行测试。 ud它的重点是比较以标准模式编写的矩阵和以稀疏矩阵格式编写的矩阵的算法效率。它还研究了用于巫婆算法的矩阵作品的巫婆表示。 ud

著录项

  • 作者

    Toš Tinkara;

  • 作者单位
  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 {"code":"sl","name":"Slovene","id":39}
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