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matlab的两个小球碰撞的模拟程序，很简单的。平时没事瞎编的。(Matlab two small ball collision simulation program, a very simple. Nothing pleases the peacetime.)

说明：  研究在matlab环境下，fft的实现以及用matlab产生各种滤波器包括用双线性变换法以及脉冲响应不变法实现。(Research in the matlab environment, fft implementation and produce a variety of filters using matlab including the use of bilinear transform and impulse response method to achieve the same.)

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

matlab使用教程，适合初学者使用，容易上手(matlab using the tutorial, suitable for beginners to use, easy to use)

主要是用来K均值聚类，K值按照自己的需要设置并将聚类结果保存到相应目录下的excel文档中(Mainly used K-means clustering, K value is set according to their needs and clustering results are saved to the appropriate directory under the excel document)

linear programing demo. An easy example in matlab. Very easy to follow this demo.

使用simulink潮流计算的程序，采用的是14节点进行仿真。使用simulink潮流计算的程序，采用的是14节点进行仿真。(Use simulink flow calculation program, it uses a 14-node simulation.Use simulink flow calculation program, it uses a 14-node simulation.)

测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)

preprocessing ECG signal with matlab

清华大学运筹学课件，该课程也叫最优化理论与应用，而且包含了各种算法的matlab源代码(Tsinghua University, Operations Research courseware, the course is also called optimization theory and application, and contains a variety of algorithm matlab source code)