资源列表
uw2code_fixes
- 二维相位解包裹程序，主要解决光学干涉几雷达波干涉图的相位解包裹问题。-The two-dimensional phase unwrapping process, mainly to solve the problem of optical interference the radar interferogram phase unwrapping.
svr1
- 支持向量回归算法代码实现，可用来做预测、数据拟合、回归等用途，文件齐全-surppot vector regression algorithm ，could used to data forecast and data mining powerful and useful
OnlineSVR-CPP-Code
- 支持向量机在线学习训练算法C++源码，可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
Optimization-ALogirhtms
- 常用的最优化方法，包括SQP方法，二次规划，信赖域方法，共轭梯度法等-Commonly used optimization method, including the SQP method, quadratic programming, trust region method, conjugate gradient method
Statistical-Analysis-MATLAB-
- Statistical Analysis 软件包。与应用案例，包括一元线性回归，双因素等重复方差分析1，多元线性回归2等。-Statistical Analysis package. Applications, including a linear regression, two-factor repeated analysis of variance, multiple linear regression 2.
nj_GetCorrelativity
- 计算数据相关性的代码,nj_GetCorrelativity(T * c1, T * c2, int num, T & val)-nj_GetCorrelativity(T* c1, T* c2, int num, T & val)
matrix_inverse.c
- 自己写的，已经测试过了，准确的矩阵求逆c语言代码，调用时直接matrix_inverse(n). n是矩阵维数-Wrote it myself, has been tested, the accuracy of the matrix inversion c language code, when called to direct matrix_inverse (n) where n is the matrix dimension
PLS
- 采用VB.NET，调用VBMatrix的dll，编写的PLS算法，内置EXCEL中包含算例参数。-PLS based on VB.NET, with a DLL named "VBMatrix" and a EXCEL including sample.
pdex5
- 一类具有齐次Neumann边界条件反应扩散方程的matlab源码-A class of homogeneous Neumann boundary condition reaction diffusion equation matlab source
r2fft
- 用一个N点复序列的FFT同时计算两个N点实序列离散傅里叶变换-With an N-point complex sequence of N-point FFT calculate two real sequences discrete Fourier transform
lianxu-me
- 电力系统连续潮流计算，以牛拉法潮流计算为基础，用来求解系统的PV曲线。-Continuous power system load flow calculation, using bovine Rafah flow calculation, based on the system used to solve the PV curve.
SVD_java
- svd奇异值分解的java实现，完美无敌有注释！-svd singular value decomposition java, perfect Invincible comment!