MATLAB

Demo script for testing for block-diagonalizability of real matrices

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

[t, y]=EULER_forward_ODE(f, t0, y0, tend, Niter) 欧拉向前逼近法求解微分方程初值问题 f定义了函数f（t，y）的 t0时的初始值定义吨 Y0的定义y的初始值( [t, y]=EULER_forward_ODE(f, t0, y0, tend, Niter) Euler forward approximation method to solve IVP ODEs f defines the function f(t,y) t0 defines initial value of t y0 defines initial value of y)

5中不同目标函数的ICA方法，这是本人一个多月的心血，希望对大家有帮助。(5 different objective function ICA method, which is I am more than a month of hard work, we hope to help.)

The code can create a model by calling the WEKA tool in matlab. The input file should be in .arff format

这是一个有用的程序，我相信对你们也有用的(This is a useful program, I believe you also a useful)

this program is used to calculate difference between to vectors

一维光子晶体缺陷层位置对带隙的影响，层厚度为1/4个波长，选择不同的缺陷层位置(Effect of one-dimensional photonic crystal defect layer position on the band gap )

广义预测控制的程序 程序为CARIMA模型(Generalized predictive control procedures for the process model CARIMA)

面向对象建模技术中的框架和模式面向对象建模技术中的框架和模式(Frameworks and models)