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全面、专业的介绍matlab中模块mulink模块的使用方法，列举的例题包含操作流程，非常实用。(Comprehensive, professional introduction matlab in Ostrava mulink modules to use, citing the examples include operating procedures, very practical.)

this program is for bwfw power flow.

基于matlab的模态分析1，可以进行采样数据的模态分析，获得振型，阻尼比，频率等(Based matlab die state analysis, modal analysis of the sampling data obtained modes, damping ratio, frequency, etc.)

MATLAB toolbox control engineering technical manual. This book provide readers with the use of MATLAB practical guidance. Mainly with the introduction of the MATLAB control engineering related to six basic toolbox: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox.

小波的源代码。有关MATLAB的共同学习吧(wavelet source. The MATLAB common learning it)

获取全局唯一标识符GUID值的access事例(Get access cases globally unique identifier GUID value)

中文教程。本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的说明，并配备了例题加以说明其用法，因此，对于初学者自学是很有帮助的；同时，又对数学中的一些深入问题如数值分析、稀疏矩阵、优化理论以及模糊数学等问题进行了较为详细的论述，因此，该书也可作为科技工作者的科学计算工具书。(Chinese tutorial. The Guide provides practical guidance to the use of MATLAB, which is based on MATLAB6.0 edition, the content of easy-to-digest, especially the book on the use of each command formats are explained in detail and simple description and sample questions to be equipped with its usage, therefore, self-study is very helpful for beginners At the same time, some of mathematics in depth issues such as numerical analysis, sparse matrix, optimization theory and fuzzy mathematics, etc. more detail, therefore, the book can also be used as science and technology workers in scientific computing tool.)

说明：  此程序是对数据进行平滑的预处理方法，用来去除噪音的干扰(This program is smoothing the data in order to remove noise interference)

这个程序使用第二代curvelet进行稀疏表示,(This program uses the second generation curvelet sparse representation,)

用单纯形法解线性规划 根据单纯形法的原理，在线性规划问题中，决策变量（控制变量）x1，x2，…x n的值称为一个解,满足所有的约束条件的解称为可行解。使目标函数达到最大值（或最小值）的可行解称为最优解。这样，一个最优解能在整个由约束条件所确定的可行区域内使目标函数达到最大值（或最小值）。求解线性规划问题的目的就是要找出最优解。 (According to the principle of the simplex method, in linear programming problem, the decision variables (control variable) x1, x2,... X n value is called a solution, meet all of the constraint conditions of the solution of the called feasible solution. The objective function to achieve maximum (or minimum) feasible solution of the optimal solution is called. So, an optimal solution by constraint conditions throughout the feasible region determined the objective function to achieve maximum or minimum value). To solve the linear programming problem is to find out the purpose of the optimal solution. )