Description: 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-C language in the plural and matrix operations for the preparation of engineering software required. Including matrix multiplication, Canada, multiply, the inverse Platform: |
Size: 9359 |
Author:杨文海 |
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Description: 完成矩阵的输入、输出。具有相同行数和列数的矩阵间的加法、减法。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。矩阵的求转置矩阵等功能-Complete matrix of input and output. With the same number of rows and rows of the matrix between the adder, subtraction. In line with the requirements of the rules of matrix multiplication between matrix multiplication. Between square division, the inverse square. Matrix transpose matrix functions Platform: |
Size: 74752 |
Author: |
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Description: 动态矩阵的加，减，乘法实现的类，使用模版，完全原创（经过测试)-dynamic matrix, plus or minus, multiplication achieve category, the use of templates, completely original (tested) Platform: |
Size: 3072 |
Author:softnow |
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Description: 数据结构算法，稀疏矩阵的存储，两矩阵相乘，两矩阵相加的实现-data structure algorithms, sparse matrix storage, two matrix multiplication, the sum of two matrix to achieve Platform: |
Size: 2048 |
Author:王与 |
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Description: strassen算法的扩展，可以计算任何偶数阶矩阵的相乘，一般strassen只能计算2的n次方阶（自己编写，英文注释~）-Strassen expansion algorithm can even order any calculation of matrix multiplication, general Strassen only two terms of the n-th-order (to prepare themselves, English Notes ~) Platform: |
Size: 45056 |
Author:建麟 |
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Description: 能够实现基于动态数组的定义，从而达到矩阵的变换和乘法运算-can be achieved based on the definition of dynamic arrays, thereby achieving the transformation and matrix multiplication Platform: |
Size: 1771520 |
Author:yfm |
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Description: 自己编写的任意矩阵相乘的DSP程序，运行在CCS环境，平台为TMS320C6416。主程序用C语言编写，子程序用汇编编写完成矩阵相乘功能。-prepare their arbitrary matrix multiplication, the DSP, the running of the CCS environment, TMS320C6416 platform. Main program with C language, the subroutine with a compilation completed matrix multiplication function. Platform: |
Size: 425984 |
Author:王刚 |
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Description: 这是一个矩阵乘法 程序，按要求输入矩阵后可实现矩阵间的叉乘、点乘-This is a matrix multiplication multiplication procedure, as required input matrix matrix would be achieved by the fork, take points Platform: |
Size: 34816 |
Author:沈刚 |
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Description: 矩阵相乘的Strassen算法，其中 乘积矩阵C = H*H，H =（hij）n*n
1. hij = ， i，j=1，…8
2. i，j=1，…12
矩阵H =（hij）n*n自动生成，取小数点后面6位计算
-Strassen matrix multiplication, the algorithm, the product matrix C = H* H, H = (hij) n* n 1. hij =, i, j = 1, ... 2. i, j = 1, ... H = 12 matrix (hij) n* n automatically generated, from decimal point after six terms Platform: |
Size: 83968 |
Author:巫俊强 |
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Description: 完整的矩阵类，实现的功能如下：
方阵、拷贝构造、初始化,分配矩阵数据的内存,并全部置0、将方阵初始化为方阵、设置矩阵个元素的值、得到知道元素的值、获取矩阵的列数、获取矩阵的行数、获取矩阵的数据、获取指定行的向量、获取指定列的向量、重载运算符 = 、重载运算符 ==、重载运算符 !=、重载运算符 +、重载运算符 -
重载运算符 数乘*、重载运算符 矩阵相乘*
矩阵转置。-integrity of the matrix type, function as follows : Lineup, copy structure, initialization, distribution matrix of data memory, All the home 0 to initialize arrays of arrays installed matrix elements of value, be aware of the value elements, Access Matrix number, access to the Matrix a few, access to the data matrix, the designated access vector, The designated access vector, heavy Operators =, operator == heavy, heavy load Operators! =, heavy Operators, Heavy Operators- Heavy Operators multiply*, heavy Operators matrix multiplication* matrix transpose. Platform: |
Size: 3072 |
Author:dingdong |
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Description: 矩阵链的相乘的源代码，采用动态归还算法求解得到最优解。-chain matrix multiplication of the source code, the return of dynamic algorithm to obtain the optimal solution. Platform: |
Size: 1024 |
Author:李明 |
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Description: 基于最新一代通用GPU－－Geforce8800，在CUDA平台上开发的矩阵乘法的例子，比CPU版本性能有非常大的提高。保留了可执行程序-based on the latest generation of common GPU-- Geforce8800. CUDA platform in the development of the matrix multiplication example, than CPU performance version of a very big increase. Retained the executable Platform: |
Size: 1572864 |
Author:白洪涛 |
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Description: 本程序能完成矩阵的输入、输出。具有相同行数和列数的矩阵间的加法、减法。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。矩阵的求转置矩阵等功能。-this procedure can be completed matrix of input and output. Have the same number of rows and columns in the matrix between the additive and subtractive. Matrix multiplication with the requirements of the rules of the matrix multiplication. Lineup of the division, the inverse matrix. Matrix switch matrices for the function. Platform: |
Size: 74752 |
Author:李然 |
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