Description: visual studio编写的C++程序，程序利用四种不同方法计算矩阵乘法- visual studio written C++ program, the program using four different methods to calculate the matrix multiplication Platform: |
Size: 7168 |
Author:meihanlei |
Hits:
Description: 一个矩阵类，包括了矩阵的加减法乘法运算，输入输出等成员函数，适合初学者理解面向对象-A matrix of categories, including the addition and subtraction of the matrix multiplication, input and output member function, suitable for beginners to understand object-oriented Platform: |
Size: 4440064 |
Author:tan |
Hits:
Description: implementation of strassen matrix in C++.
strassen algorithm is faster than standard matrix multiplication algorithm Platform: |
Size: 1024 |
Author:taha |
Hits:
Description: 编写程序，可以实现m*n矩阵和n*p矩阵相乘。m,n,p均小于10，矩阵元素为整数。-Program, can realize m matrix and n* n* p matrix multiplication. Are less than 10 m, n, p, matrix elements of the integer. Platform: |
Size: 1024 |
Author: |
Hits:
Description: 很实用的C#矩阵运算类，其包括基本的矩阵加减，矩阵乘法，转置 ，求逆等运算-Very useful matrix operations C# class that includes basic addition and subtraction of matrices, matrix multiplication, transpose, inverse operation, etc. Platform: |
Size: 12288 |
Author:乔晶 |
Hits:
Description: 在Linux下分别用Ptread线程和一般的方法编矩阵乘法，比较两者的差异。-we use Pthread and the general method to implement the matrix multiplication,and compare the difference between the two methods. Platform: |
Size: 81920 |
Author:He Zhanpeng |
Hits:
Description: 给定n个矩阵{nAAA ,2,1}，其中iA和1 iA是可乘的，i=1,2,…,n-1。考察这n个矩阵的连乘积nAAA ,2,1。由于矩阵乘法具有结合律，故计算矩阵的连乘积可以有许多不同的计算次序。这种计算次序可以用加括号的方式来确定。-Given n matrices {nAAA , 2,1}, and 1 iA iA which is multiplicative, i = 1,2, ..., n-1. Examine the n matrices with the product nAAA , 2,1. Since the matrix multiplication with associative, so even calculate the matrix product can have many different calculation order. This calculation can be bracketed sequence approach to identify. Platform: |
Size: 5120 |
Author:shanshan |
Hits:
Description: 通过vc++ 6.0编写的计算矩阵连乘的运算的代码-Through the calculation of the matrix with vc++ 6 prepared by the operation code Platform: |
Size: 1024 |
Author:张准东 |
Hits:
Description: 乘法口诀表九九表一般只用一到九这9个数字。 2、九九表包含乘法的可交换性，因此只需要八九七十二，不需要“九八七十二”，9乘9有81组积，九九表只需要1+2+3+4+5+6+7+8+9 =45项积。明代珠算也有采用81组积的九九表。45项的九九表称为小九九，81项的九九表称为大九九。-Matrix multiplication still twists my mind around, but it s manageable with enough trial and error in the programming assignments. Platform: |
Size: 3072 |
Author:谈星彬 |
Hits:
Description: 矩阵类模板Matrix<Type>是专门为线性代数中矩阵而设计的一个模板类，具体的函数声明与定义可以参见“matrix.h。见测试文件 matrix_test.cpp，功能如下：
Matrix<Type> m 创建一个空矩阵
Matrix<Type> m2(m1) 创建矩阵 m2的拷贝 m1
Matrix<Type> m(r,c,x) 创建常数矩阵
Matrix<Type> m(r,c,a) 通过数组创建矩阵
m.~Matrix<Type> () 销毁矩阵并释放空间
矩阵运算：
A += x 矩阵自身加常数
A -= x 矩阵自身减常数
A *= x 矩阵自身乘常数
A /= x 矩阵自身除以常数
A1 += A2 矩阵自身加矩阵
A1 -= A2 矩阵自身减矩阵
A1 *= A2 矩阵自身乘矩阵(逐元素)
A1 /= A2 矩阵自身除以矩阵(逐元素)
x + A 常数与矩阵之和
A + x 矩阵与常数之和
A1 + A2 矩阵与矩阵之和
A - x 矩阵与常数之差
x - A 常数与矩阵之差
A1 - A2 矩阵与矩阵之差 -Matrix Matrix class template <Type> Is a template class specifically for linear algebra and matrix design, the specific function declarations and definitions can be found in " matrix.h see test file matrix_test.cpp, functions as follows:. Matrix <Type> Create an empty matrix Matrix m <Type> m2 (m1) to create a copy of the matrix m2 m1 Matrix <Type> m (r, c, x) to create a constant matrix Matrix <Type> m (r, c, a) create a matrix m through the array. ~ Matrix <Type> () Destroy the matrix and release space matrix calculation: A+ = x matrix itself plus the constant A- = x matrix itself less constant A* = x matrix itself by a constant A/= x matrix itself is divided by the constant A1+ = A2 matrix itself plus Matrix A1- = A2 matrix itself reduced matrix A1* = A2 matrix multiplication matrix itself (by elements) A1/= A2 matrix itself divided by the matrix (by elements) x+ A matrix of constants and A+ x matrix with constants and A1+ A2 matrix and matrix Platform: |
Size: 4096 |
Author:李金凤 |
Hits:
Description: 简单的矩阵乘法运算。求两个N*N大小的方阵相乘的结果。带稀疏处理-Simple matrix multiplication. The result of multiplying the sum of two squares N* N size. Deal with sparse Platform: |
Size: 253952 |
Author:donkeu |
Hits:
Search - matrix multiplication