搜索资源列表
UseMatrixArrayMul
- 一个矩阵四则运算程序. 主要实现两个矩阵的 加,减,乘,除运算-a matrix 4 Operational procedures. Two main matrix, plus or minus, multiplication and Operational
MatrixMul
- 矩阵连乘算法，实现几个矩阵相乘的最优顺序，并计算出复杂度-matrix continually multiply algorithm, achieving several matrix multiplication, the optimal sequence and calculated complexity
Matrix111
- 矩阵连乘问题 对多个矩阵连乘时 的消耗进行分析-matrix continually multiply problems for a number of matrix continually multiply the consumption analysis
Template Numerical Toolkit（tnt_126）
- 本程序是矩阵运算的简单快捷的程序可以方便的实现矩阵的一些算法有矩阵的加减乘等-the matrix calculation procedure is a simple and speedy procedures to facilitate the achievement of some matrix algorithm is modified by the matrix as
smatrix
- 数据库课程设计，用完全链表结构实现稀疏矩阵的创建，删除，以及加、减、乘、转置运算-database curriculum design, fully linked list with sparse matrix structure to achieve the creation, deletion, and, plus or minus, by transfer of home computing
2005102611013310480
- 最佳矩阵连乘 给定n个矩阵｛A1,A2,…An｝，其中Ai与A i+1是可乘的，i=1，2…，n-1。考察这n个矩阵的连乘积A1A2…An。矩阵A和B可乘的条件是矩阵A的列数等于矩阵B的行数。若A是一个p×q矩阵，B是一个q×r矩阵，则其乘积C=AB是一个p×r矩阵,需要pqr次数乘。 由于矩阵乘法满足结合律，故计算矩阵的连乘积可以有许多不同的计算次序。例如，设3个矩阵{A1,A2,A3}的维数分别为10×100，100×5，和5×50。若按加括号方式((A1A2)A3)计算，3个矩阵连乘积
Class_Matrix
- C++语言的复数与矩阵运算库,编写工程类软件必备。包括矩阵乘、加、数乘、逆等 [matrixClass.rar] - 矩阵类:可运行矩阵间的加、减、乘以及除-C++ language plural and matrix arithmetic library, written in engineering software necessary. Including matrix multiply, add, multiply, inverse, etc. [matrixClass.rar]- Ma
matrixmult.c
- MPI程序，计算矩阵乘矩阵，可以用ijk，ikj，kij三中方式计算，输出时间信息，可用于计算效率和加速。-MPI program, matrix multiply by matrix, it has ijk, ikj, kij methods. Output timing information, can be used to calculate speedup and efficiency
mpicannon
- 矩阵乘的并行计算。使用MPI编写，实现了CANNON算法。-Parallel computing matrix multiplication. Written using MPI to achieve CANNON algorithm.
matrix
- 设计一个简单的2x2阶的矩阵乘法器, A，B 为2*2矩阵 求：C=A*B-Order to design a simple 2x2 matrix multiplier, A, B 2* 2 matrix: C = A* B
bxMatVect
- 大数量级矩阵乘向量的并行算法设计,c++代码-Large magnitude vector matrix multiplication parallel algorithm design, c++ code
net
- 机器学习irect和unrolling乘法数一模一样，所以图上只有direct的。unrolling方法就是为blas/gemm设计的，至于blas/gemm把矩阵乘复杂度、乘法数降到多少还没见，但是那就到blas优化的范畴了。 -Machine Learning irect and unrolling exactly the number of multiplications, so the figure of only direct. unrolling method is to bla
JzCal
- 矩阵的一般计算：矩阵加、减、乘、除、数乘、转置……(General calculations of matrices: addition, subtraction, multiplication, division, multiplication and transposition of matrices......)
矩阵链乘C++
- 矩阵连乘： 设有矩阵M1,M2,M3,M4， 其维数分别是10×20, 20×50, 50×1 和1×100，现要求出这4个矩阵相乘的结果。我们知道，若矩阵A的维数是p×q，矩阵B的维数是q×r，则A与B相乘后所得矩阵AB的维数是p×r。按照矩阵相乘的定义，求出矩阵AB中的一个元素需要做q次乘法（及q-1次加法）。这样，要计算出AB就需要做p×q×r次乘法。为简单起见，且由于加法比同样数量的乘法所用时间要少得多，故这里我们暂不考虑加法的计算量。由于矩阵连乘满足结合律，故计算矩阵连乘的方
Matrix
- 从两个文本读取矩阵，并进行相应的矩阵计算，如加减乘，转置，求逆等。(Reading the matrixes from two text, and the corresponding matrix calculation, such as add and subtract, multiply, transpose, inverse, etc..)
矩阵运算
- 用最小二乘法对时间序列进行周期拟合，求出周期曲线的参数，并求出拟合的精度评价。(The least square method is used to fit the time series, the parameters of the periodic curve are obtained, and the accuracy of the fitting is evaluated.)
矩阵链乘
- c++矩阵连乘问题得实现代码，c++实现(aj ksd hfjk ifo crv fsd s dsfsad df)
源
- 做到加减乘除，复数的加减乘除，矩阵的加减乘。(Do add, subtract, multiply and divide complex matrix, modified by add, subtract, multiply and divide.)
CUDA SPMV
- 稀疏矩阵向量乘法（Sparse Matrix-Vector Multiplication, SpMV）在许多科学计算程序中都有广泛的应用。数据矩阵A 是稀疏的，输入向量x 和输出向量y是稠密的。 y = Ax(Sparse Matrix-Vector Multiplication (SpMV) is widely used in many scientific computing programs. The data matrix A is sparse, the input vector x
rtl
- 基于S10新品的2x2矩阵乘模块，附带双精度的乘法，除法ip核(2x2 matrix multiplication module based on S10 new product, with double precision multiplication, division IP kernel)