serial

说明：  梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)

基于谐波电流快速检测方法的有源电力滤波器simulink仿真模型 (Current rapid detection methods based on harmonic active power filter simulink simulation model)

matlab 英文书籍,影印版，非常使用的教你一步一步的学习如何用matlab编程的，适用于双语教学(matlab programming for engineers,useful,powerful and easy)

首先读取图像并生成二值图像，然后生成标注矩阵并用彩色显示，最后确定图像的统计性能(First reads the image and generates a binary image, and then generate the label matrix and displayed in color, and finally to determine the statistical properties of the image)

近场到远场的数值计算matlab实现，可用于天线等多方面，内含13个matlab源程序。(near field to far field transform using matlab)

FCM,模糊C均值聚类的MATLAB实现(FCM matlab)

The Driven Cavity Problem by the MAC Method

stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。(Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.)

Genetic algorithm for optimization

利用PHD算法对函数的频率进行估计并画出图形(you can obtain frequency of the function by the PHD algorithm and get the figure)