逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8

应用于端点检测的非线性C0复杂度的实现，希望对大家有帮助-Endpoint detection is applied to achieve nonlinear C0 complexity, we hope to help

Solve a problem of Linear Program by the Interior Points methods. Function [x, Al, Z] = InteriorPoint(c0, x0, A0, b0, alpha, tol) Inputs - c0 -> initial coef. of O.F. x0 -> initial solution A0 -> initial con