搜索资源列表
alg_3
- 快速傅立叶变换计算多项式，strassen算法计算矩阵相乘，以及其和普通多项式、矩阵乘法的比较-Fast Fourier Transform calculation of polynomial, strassen matrix multiplication algorithm, and its and ordinary polynomials, matrix multiplication comparison
Numerical-Source
- 数值计算的变成源码，包含矩阵加减、向量运算，矩阵乘法等-Into a numerical code, including matrix addition and subtraction, vector operations, matrix multiplication, etc.
Matrix-multiplication
- 矩阵乘法计算，实现矩阵的乘法运算程序。简单而实用。-The matrix multiplication, the matrix multiplication program. Simple and practical.
couple
- 计算矩阵的乘法，采用了最新的群论的思想，计算跨苏，简便-To calculate the matrix multiplication using the idea of the latest group theory to calculate cross-Su, easy
juzhenchengfa
- 矩阵乘法，通过矩阵运算进行乘法计算，计算出进行计算之后的结果-failed to translate
51
- 给定n个矩阵A1，A2，…，An，其中，Ai与Aj+1是可乘的，i=1，2，…，n-1。 确定矩阵连乘的运算次序，使计算这n个矩阵的连乘积A1A2…An时总的元素乘法次数达到最少。-Given n matrices A1, A2, ..., An, which, Ai and Aj+1 is multiplicative, i = 1,2, ..., n-1. OK matrixcontinuallymultiply order of operations, the computation
giusei_v24
- 利用最小二乘法进行拟合多元非线性方程，构成不同频率的调制信号，计算两个矩阵之间的欧氏距离。- Multivariate least squares fitting method of nonlinear equations, Constituting the modulated signals of different frequencies, Calculation of the Euclidean distance between the two matrices.
jiedian
- 在正方形区域内产生均匀分布的随机拓扑,红色信标节点 . 黑色未知节点,初始化节点间距离,跳数矩阵,最短路径算法计算节点间跳数,球每个信标节点的校正值,最小二乘法求未知点坐标-Generate uniformly distributed random topology in the square area, red beacon nodes. Black unknown nodes, the distance between node initialization, hop count matri
feiqiu
- 对HARQ系统的吞吐量分析，利用最小二乘法进行拟合多元非线性方程，AHP层次分析法计算判断矩阵的最大特征值。- HARQ throughput analysis of the system, Multivariate least squares fitting method of nonlinear equations, Calculate the maximum eigenvalue judgment matrix of AHP.
fungen_v81
- 经典的灰度共生矩阵纹理计算方法，matlab实现了五类灰色关联度模型的计算,利用最小二乘法进行拟合多元非线性方程。- Classic GLCM texture calculation method, matlab implements five gray correlation degree computing model, Multivariate least squares fitting method of nonlinear equations.
bundwidtkjandidatehead
- 矩阵计算的类苦,包括矩阵乘法,求逆矩阵求特征值和特征向量等-Matrix calculation, including matrix multiplication, inverse matrix eigenvalue and eigenvector and so on
matrix
- 矩阵乘法 给定两个矩阵 A 和 B,其中 A 是具有 M 行、K 列的矩阵, B 为 K 行、N 列的矩阵, A 和 B 的矩阵积为矩阵 C, C 为 M 行、N 列。矩阵 C 中第 i 行、第 j 列的元素 Cij 就是矩阵 A 第 i 行每个元素和矩阵 B 第 j 列每个元素乘积的和,即 要求:每个 Ci j 的计算用一个独立的工作线程,因此它将会涉及生成 M×N 个工作线程。主 线程(或称为父线程)将初始化矩阵 A 和 B,并分配足够的内存给矩阵 C,它将容纳矩阵 A 和 B
矩阵相乘
- 给两个矩阵，算出他们相乘后的矩阵，得到的结果输出出来(Give two matrices, and calculate the matrices that they are multiplied, and the results are out.)