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- 对07 年b数学建模用matlab解决了如何求直达矩阵，程序简单-07 b of the use of mathematical modeling to solve how to find direct matlab matrix, the program simply
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- 矩阵连乘算法，找出最适合的乘法方式。如矩阵为A B C，则在 A*B*C中找出最为适合的乘法方式。-Matrix multiplication algorithm with, identify the most suitable way of multiplication. Such as the matrix for the ABC, then the A* B* C multiplication to find the most suitable way.
SPLINE
- SPLINE is a package of simple routines for setting up and evaluating splines and related functions, whose goal is either to to interpolate given data exactly at a set of points to approximate data over an interval. There are a variety of
complex_gauss
- This is a program to calculate Ax = b using complex Gaussian elimination method. A is a coefficient matrix. x is an unknown value vector. b is a right-hand side known vector. We can get an unknown vector x. These vectors and matrix can have complex
2010211307-2-24
- 假设稀疏矩阵A和B均以三元组表作为存储结构，试写出矩阵相加(相乘—选做)的算法，另设三元组表C存放结果矩阵。 矩阵相加测试实例： 0 7 0 8 0 2 0 1 0 0 A= 4 0 0 0 5 B= 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 6 0 0 -6 0 处理过程提示： 输入稀疏矩阵A和B 检测A和B能否相加 矩阵相加运算 打印运算结果-Sparse matrix A and B are in
nearest_posdef
- Nearest positive semi-definite covariance matrix MATLAB fucntion (by Marco.B, BSD license)-Nearest positive semi-definite covariance matrix MATLAB fucntion (by Marco.B, BSD license)
kmeans
- function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers
xianxing
- 用三种不同的方法计算线性方程组Ax=b，输入方程组的阶数n,矩阵A的元素和常向量b的元素,输出方程组的解。-Calculated using three different methods of linear equations Ax = b, enter the equations of order number n, the elements of matrix A and constant vector b of the elements, the output equations of
juzhen
- 矩阵操作 c++实现 课程设计 #include <iostream.h> #include <stdlib.h> #include<iomanip.h> void fanzhuan1(int b[5][5]) void fanzhuan2(int b[5][5]) void juandong1(int b[5][5]) void juandong2(int b[5][5]) void print(int b[5]
AbsoluteOrientation
- This function solves the problem of absolute orientation based on coordinates of N points in two frames A and B, and outputs the translation vector and direction cosion matrix between the two frames.
haofuza
- 线性Hamiltonian系统的振动性——Discrete Dynamics in Nature and Society -By employing a generalized Riccati technique and an integral averaging technique, some new oscillation criteria are established for the second order matrix differential system U′ = A(t
LU-Decomposition
- Suppose we are able to write the matrix A as a product of two matrices, L.U = A, where L is lower triangular (has elements only on the diagonal and below) and U is upper triangular (has elements only on the diagonal and above). We can use a decomposi
GJDN
- 全选主元高斯-约当消去法同时求解系数矩阵相同而右端具有m组常数向量的线性代数方程组AX=B的全部解-QuanXuan primary gaussian-about when elimination technique and then the coefficient matrix is the same and the right side of the constant vector with m linear algebra equations AX = B of all solutions
10102130203
- 与矩阵连乘最小乘法数问题类似，虽然不需要记录加括号的方式，但是需要纪录下从i乘到j的结果中为a、b、c的个数，以便在后续的计算中可以用到之前的数据，避免重复计算。所以就需要用三维数组来存储（当然用struct结构体数据类型也很方便）或者用两个数组。-With a matrix with minimal multiplication problem similar, although need not record bracketed style, but need to record from
fisher
- fisher判别，输入两类样本，根据类间相似度和类内相似度矩阵求解权值w和偏值b-fisher discriminant, enter the two types of samples, according to the similarity between class and class similarity matrix to solve the weights w and the partial value of b
string-data-encryption
- Data Encryption by Matrix Multiplication We will only use numbers 0 to 26 for the encryptive mathematics operation. Numbers from 1 to 26 are for letters from A to Z and 0 is for all non-letter characters. To minimize usage of numbers, all letters
aluxian
- 这是2011年求数学建模b题中距离矩阵的程序，请大家参考-This is 2011 years for mathematical modeling b topic distance matrix of the program, please everybody reference
qiux
- 这段代码是用来求Ax=b线性方程的，采用的是列主元消元法，经过很苛刻的矩阵验证，其精度可以和matlab中的求逆再求方程的结果媲美-This code is used to seek Ax = b of linear equations, the main-element elimination method, after a very demanding Matrix verify its accuracy and inversion in matlab and then seek compa
[M]
- 原始单纯形法（大M法，无需给出初始基变量） Programmed by Liyang(faruto s Studio~!) BNU MATH Email:liyangbnu@mail.bnu.edu.cn QQ:516667408 last modified 2008.4.27 求解标准型线性规划:max C*X s.t. A*X=b (b>=0) X>=0 输入：C是n维行向量，A是m*n的系数矩阵，b是m维列向量- Of the origina
Numerical-method-solve-equations
- 数值方法解方程组AX=B（LU分解），过程分3步，首先，分解系数矩阵A=LU，然后，解LY=B，最后再求UX=Y 另一种是直接求解的（2.1）-Numerical method to solve the equations AX = B (LU decomposition), 3 step process, first of all, the decomposition of the coefficient matrix A = LU, then, Xie LY = B, and finally