RLS

说明：  Ode 方程解法，主要用于网站收敛,这一算福安非常的好(numerical integration for ODE for the web site convergence)

说明：  对给定的数据，利用PCA求取数据中主分量(Given the data, using principal component in the PCA data to strike)

利用输入输出数据，进行FCOR算法，对系统进行辨识，可应用于SISO控制系统性能评价(The use of input and output data, FCOR algorithm, the system identification, can be applied to SISO control system performance uation)

《图论算法及其matlab实现》的部分原始m文件，免去了自行键入的烦恼，很便捷(" Graph Theory Algorithm and Its Implementation matlab" m part of the original document, which eliminates the trouble of their own type, it is convenient)

BP神经网络的设计实例(MATLAB编程)，两种不同的训练算法(BP neural network design examples (MATLAB Programming), two different training algorithms)

高斯积分点和权重的自动生成，可以调整不同高斯积分点个数(Gaussian integral)

关于普朗克分布的详细讨论。（在mathematica环境下开发）(A detailed discussion of Planck distribution )

Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction. The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function. You will need to compile the MEX functions - in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system. Run the function spiralexample.m in Matlab. (Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction. The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function. You will need to compile the MEX functions- in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system. Run the function spiralexample.m in Matlab. )

极坐标3d画图程序，功能很强大，自己看帮助吧(POLARPLOT3D Plot a 3D surface from polar coordinate data)

不错的svm讲义，对于svm的背景和原理有比较详细的讲解(svm)