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找到约 9 项符合 transpose 的查询结果

数值算法/人工智能 基本矩阵运算 : + - *, power, transpose, trace, determinant, minor, matrix of minor, cofactor, matrix of co

基本矩阵运算 : + - *, power, transpose, trace, determinant, minor, matrix of minor, cofactor, matrix of cofactor, adjoint, inverse, gauss, gaussjordan, linear transformation, LU decomposition , Gram-Schmidt process, similarity. b) Basic vectors functions : norm, distance, innerproduct,coldim, rowdim ...
https://www.eeworm.com/dl/518/104632.html
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Delphi控件源码 提供基本榘阵 ( Matrix ) 运算 ( product 、 sum 、 difference、 transpose、 traceof ) 的非可视构件 ( 1.0 版

提供基本榘阵 ( Matrix ) 运算 ( product 、 sum 、 difference、 transpose、 traceof ) 的非可视构件 ( 1.0 版,附源码 C++Builder 3.0/4.0/5.0 版适用 ),作者 : Jeff Hiscock。
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Oracle数据库 Common Martix Operation ,include transpose, qr-factorization, trangular martix

Common Martix Operation ,include transpose, qr-factorization, trangular martix
https://www.eeworm.com/dl/681/131519.html
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并行计算 并行算法下的transpose实现。在smp环境下用mpi编写

并行算法下的transpose实现。在smp环境下用mpi编写
https://www.eeworm.com/dl/694/351658.html
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并行计算 cuda平台开发的矩阵变换并行操作(Matrix transpose)

cuda平台开发的矩阵变换并行操作(Matrix transpose),属于cuda sdk中的内容
https://www.eeworm.com/dl/694/431482.html
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Java编程 java code to calculate transpose of a matrix

java code to calculate transpose of a matrix
https://www.eeworm.com/dl/633/432896.html
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汇编语言 Matrix Transposition and Multiplication It is a MIPS assembly program that does the following: give

Matrix Transposition and Multiplication It is a MIPS assembly program that does the following: given two matrices, M1 and M2, first transpose M2 to obtain M2tran. Then multiply M1 and M2tran.
https://www.eeworm.com/dl/644/291234.html
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数学计算 The code performs a number (ITERS) of iterations of the Bailey s 6-step FFT alg

The code performs a number (ITERS) of iterations of the Bailey s 6-step FFT algorithm (following the ideas in the CMU Task parallel suite). 1.- Generates an input signal vector (dgen) with size n=n1xn2 stored in row major order ...
https://www.eeworm.com/dl/641/453195.html
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源码 批处理感知器算法

批处理感知器算法的代码matlab w1=[1,0.1,1.1;1,6.8,7.1;1,-3.5,-4.1;1,2.0,2.7;1,4.1,2.8;1,3.1,5.0;1,-0.8,-1.3;     1,0.9,1.2;1,5.0,6.4;1,3.9,4.0]; w2=[1,7.1,4.2;1,-1.4,-4.3;1,4.5,0.0;1,6.3,1.6;1,4.2,1.9;1,1.4,-3.2;1,2.4,-4.0;     1,2.5,-6.1;1,8.4,3.7;1,4.1,-2.2]; w3=[1,-3.0,-2. ...
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