资源列表
PCA
- Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.
fre3hzgaosibaizaosheng
- matlab下的m file代码——频率为3Hz的高斯白噪声信号代码-based on matlab s m file----a random signal with the frequency of 3Hz
HMF_simpson
- Simpson rule Matlab code
p_judge
- 用于判断数据属于什么分布，有正态分布、泊松分布等-For the judgment under what distribution, normal distribution, Poisson distribution
yingbianjinhou
- bp神经网络基本算法：最基本的神经网络算法源程序-bp neural network algorithm
fxxzs
- 本例子为非线性整数规划的准确求解的有效方法之一。-The example of one of the accurate and effective method of solving nonlinear integer programming coefficients.
Gngauss
- 用于产生高斯分布随机变量的matlab函数代码-Matlab function code used to generate Gaussian random variables
segread
- 同过编制matlab程序，读取数字地震仪的sgy数据格式。-Over the same preparation matlab program to read digital seismograph sgy data format.
p_judge
- p_judge.rar
QPhild
- 凸二次规划原始对偶算法，很有用的，值得收藏！-Two convex quadratic programming primal-dual algorithm, very useful，worth collecting!
nonlinear
- 数学建模中常用的非线性规划程序，经整理，有注释，可实现-Commonly used mathematical modeling of gray prediction program, collated comment
jixijifenduffing
- 自编的增加维数精细积分求解非线性动力学方程的程序-pim method