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矩阵乘法
相关语句
  matrix multiplication
    The scalability of parallel algorithms is a measure of its capability to effectively utilize an increasing number of computing nodes on networks. It can predict the performance of algorithms when the number of the computing nodes increases. Parallel matrix multiplication and PSRS (parallel sorting by regular sample) algorithm are implemented under PVM environment, their scalability under networks environment is analyzed, and the analysis results are certified by experiments.
    并行算法的可扩放性是指其有效利用计算节点的能力,它可以预测算法在处理机数目变化时的性能.在网络环境下用PVM实现了并行矩阵乘法及PSRS算法,分析了在网络计算环境下这两个算法的可扩放性,并利用试验数据进行了验证.
短句来源
    This method also helps to implement other parallel algorithms such as finding solutions of linear equations or matrix multiplication on the star interconnection networks.
    提出的星图结点和数据的映射方法以及实现并行 FFT的思想可推广到线性方程组求解、矩阵乘法等其它并行算法在星形互连网络上的实现
短句来源
    Algorithm analysis reveals that, the heuristic algorithm presented in this paper is better than other two algorithms (Boolean Matrix Multiplication and repeated calling Breadth First Search Algorithm) during neighborhood searching of TS.
    算法复杂度分析的结果显示 ,在 TS进行临域搜索时本文提出的启发式算法优于布尔矩阵乘法以及重复调用广度优先算法 .
短句来源
    This article introduces DCOM's basic concept and running principle. And then implements a computation service of matrix multiplication based on COM/ DCOM's standard. That is to say the server which offers the service holds a conne ction point.
    介绍了DCOM的基本概念及其运行机制,并根据COM/DCOM标准设计规范实现了带有连接点的服务器远程计算服务:矩阵乘法计算。
短句来源
    Matrix multiplication is one of the most important basic operations in numerical analysis, which is widely used in pattern recognition, image and signal processing.
    矩阵乘法是数值分析领域中一种十分常用的基本运算,被广泛应用于模式识别、图像和信号处理。
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  matrix multiplication
In this note algebraic criteria are given for the complete and the weak controllability of such equations in the case where the limiting set G is closed with respect to the operation of matrix multiplication and the G-module Rn is semisimple.
      
The formula giving the joint correlations arises from the corresponding classical formula by replacing the usual matrix multiplication by the Schur multiplication.
      
This paper identifies a misconception about the algebraic structure underlying the view of transitive closure as a matrix multiplication problem.
      
Fast rectangular matrix multiplication and some applications
      
Fuzzy matrices satisfy a new law of matrix multiplication.
      
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The scalability of parallel algorithms is a measure of its capability to effectively utilize an increasing number of computing nodes on networks. It can predict the performance of algorithms when the number of the computing nodes increases. Parallel matrix multiplication and PSRS (parallel sorting by regular sample) algorithm are implemented under PVM environment, their scalability under networks environment is analyzed, and the analysis results are certified by experiments.

并行算法的可扩放性是指其有效利用计算节点的能力,它可以预测算法在处理机数目变化时的性能.在网络环境下用PVM实现了并行矩阵乘法及PSRS算法,分析了在网络计算环境下这两个算法的可扩放性,并利用试验数据进行了验证.

The star interconnection network is generally considered as an attractive network architecture for parallel computing. The proposed parallel algorithm for the computation of fast Fourier transform takes advantage of the diversities of recursive decomposition of the star interconnection networks in order to reduce the communication time involved in data exchange between nodes. This method also helps to implement other parallel algorithms such as finding solutions of linear equations or matrix multiplication on...

The star interconnection network is generally considered as an attractive network architecture for parallel computing. The proposed parallel algorithm for the computation of fast Fourier transform takes advantage of the diversities of recursive decomposition of the star interconnection networks in order to reduce the communication time involved in data exchange between nodes. This method also helps to implement other parallel algorithms such as finding solutions of linear equations or matrix multiplication on the star interconnection networks.

星形互连网络是一种易于实现大规模并行计算的互连网络拓扑结构 .利用星形互连网络的递归可分解性的多样性 ,提出了一种基于星形互连网络的并行快速傅立叶变换算法的实现方法 .该方法能够有效地减少计算过程中处理器结点之间的通信开销 .提出的星图结点和数据的映射方法以及实现并行 FFT的思想可推广到线性方程组求解、矩阵乘法等其它并行算法在星形互连网络上的实现

Website structure was described as an un weighted digraph. To make relative commodities more accessible by customers who just bought certain commodity, a mathematical model was built up to optimize the link structure of the Website. Tabu Search (TS) was implemented for optimal solution of this problem. Algorithm analysis reveals that, the heuristic algorithm presented in this paper is better than other two algorithms (Boolean Matrix Multiplication and repeated calling Breadth First Search Algorithm) during...

Website structure was described as an un weighted digraph. To make relative commodities more accessible by customers who just bought certain commodity, a mathematical model was built up to optimize the link structure of the Website. Tabu Search (TS) was implemented for optimal solution of this problem. Algorithm analysis reveals that, the heuristic algorithm presented in this paper is better than other two algorithms (Boolean Matrix Multiplication and repeated calling Breadth First Search Algorithm) during neighborhood searching of TS. Case study shows that the method introduced in this paper can help the Website designers to built more accessible Websites.

将网站结构抽象为无权有向图 .为方便顾客选购某种商品后以较短的路径访问相关商品网页 ,建立了一种网站结构优化的数学模型 ,并采用禁忌搜索算法 (TS)对问题进行求解 .算法复杂度分析的结果显示 ,在 TS进行临域搜索时本文提出的启发式算法优于布尔矩阵乘法以及重复调用广度优先算法 .实例研究表明所述方法可以帮助网站设计者有效调整网站结构

 
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