insar_cs

模式识别对升高体重数据的fisher方法分析，模式识别作业二(Pattern Recognition the increased weight data fisher analysis, pattern recognition operations two)

原始单纯形法（大M法，无需给出初始基变量）。输入：C是n维行向量，A是m*n的系数矩阵，b是m维列向量 输出：x最优解（如果有的话），fval最优值，flag解的状态说明，interation求解时的循环次数(The original simplex method (big M method, without giving the initial basic variable). Input: C is the n-dimensional row vector, A is the coefficient matrix of m* n, b is the m-dimensional column vector Output: x the optimal solution (if any), fval optimal value, flag state solution description, interation when the number of cycles to solve)

matlab界面编程，详细的实例说明，可以给学习界面编程提供很好的帮助(matlab GUI)

Denoising can be done using this m files

Very nice and compact HP filter function for matlab.

Computer Systems: A Programmer s Perspective Randal E. Bryant and David R. O Hallaron This directory contains the code examples in the CS:APP text. The code shown in the text is included automatically from the files in this directory, without any hand intervention.

this code optimize the truss with slp

numerucal methods to solv deff equations

趋势EA，不加仓，不网格，每单都带止损止盈，加载周期30分(Trend EA, no warehousing, no grid, stop-loss and stop-profit for each single, loading cycle 30)

说明：  IEEE30算例,已经可以直接使用，用于基本的潮流算法测试(IEEE30 case it can be used to test power flower algorithm)