首页> 外文会议>International Conference "Applications of Mathematics in Engineering and Economics" >SPARSE LINEAR SYSTEMS: THEORY OF DECOMPOSITION, METHODS, TECHNOLOGY, APPLICATIONS AND IMPLEMENTATION IN WOLFRAM MATHEMATICA
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SPARSE LINEAR SYSTEMS: THEORY OF DECOMPOSITION, METHODS, TECHNOLOGY, APPLICATIONS AND IMPLEMENTATION IN WOLFRAM MATHEMATICA

机译:稀疏线性系统:Wolfram Mathematica的分解理论,方法,技术,应用和实施

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In this paper we propose the theory of decomposition, methods, technologies, applications and implementation in Wolfram Mathematica for the constructing the solutions of the sparse linear systems. One of the applications is the Sensor Location Problem for the symmetric graph in the case when split ratios of some arc flows can be zeros. The objective of that application is to minimize the number of sensors that are assigned to the nodes. We obtain a sparse system of linear algebraic equations and research its matrix rank. Sparse systems of these types appear in generalized network flow programming problems in the form of restrictions and can be characterized as systems with a large sparse sub-matrix representing the embedded network structure.
机译:本文提出了Wolfram Mathematica的分解,方法,技术,应用和实施理论,用于构建稀疏线性系统的解决方案。其中一个应用是在某些弧流的分割比可以是零的情况下对称图的传感器位置问题。该应用程序的目的是最小化分配给节点的传感器的数量。我们获得了一个稀疏的线性代数方程系统,并研究其矩阵等级。这些类型的稀疏系统以限制的形式出现在广义网络流程编程问题中,并且可以被称为具有表示嵌入式网络结构的大稀疏子矩阵的系统。

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