Matrix Multiplication

Multi-particle tracking and matrix multiplication are used to calculate the beam transport. Monte Carlo techniques are adopted to generate randomly the initial particle coordinates in the phase spaces, and Powell nonlinear optimization routines are incorporated in the codes to search the given optical conditions.

程序采用多粒子跟踪与σ矩阵相结合的万式，用Monte Carlo方法随机产生初始相空间中各代表点的坐标，并用Powell非线性最优化方法进行光路系统的最优化计算。

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A parallel algorithm for matrix multiplication is proposed according to the characteristic of matrix multiplication.

本文根据矩阵相乘的特点,提出了矩阵相乘的并行算法.

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Comply with rules require matrix multiplication between the matrix multiplication.

符合矩阵乘法规则要求的矩阵间的乘法.

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Matrix multiplication with the requirements of the rules of the matrix multiplication.

符合矩阵乘法规则要求的矩阵间的乘法.方阵间的除法,方阵的求逆.

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Then the definition of boundary value matrix for multi-multiplication interval linear systems is proposed.

对于多乘性区间线性系统,给出边界值矩阵的定义.

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Besides, some main characters of matrix link multiplication about asymptotic time complexity, space complexity and so on are analysed in detail.

分析和总结了矩阵链乘有关时间复杂度和空间复杂度等重要性质。

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And we can reformulate this in terms of matrix multiplication or matrix product.

我们可以用，矩阵乘法或矩阵乘积的形式来表述这些式子。

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Analysis of Algorithm and Time Complexity on the Optimum Order of Matrix Chain Multiplication

矩阵链乘积最优计算次序问题的算法及其复杂性分析

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A block algorithm of 3 ￣ n-th degree matrix multiplication

3~n阶矩阵乘法的分块算法

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The simplification matter of matrix multiplication is settled thoroughly in the way given in the paper.

彻底解决了矩阵乘法计算的简化问题.

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OpenMP for mixed MPI and parallel matrix multiplication to solve the problem.

并行矩阵乘法.用于mpi和openMP混合并行求解矩阵乘法问题.

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Using Model and Iterative Compilation to Optimize Matrix Multiplication Applications

结合模型和迭代编译优化矩阵相乘程序

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In this paper, we implement an efficient matrix multiplication on GPU using NVIDIA's CUDA.

本文使用NVIDIA的CUDA在GPU上实现了一个高效的矩阵乘法。

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