Schrodinger

说明：  体会数值算法的稳定性与不稳定性，线性方程组的迭代法，包括Jacobi迭代法和Gauss-Seidel迭代法，SOR迭代(Experience of numerical stability and instability of the algorithm to learn how to avoid instability in the algorithm and numerical stability of the algorithm chosen to experience the stability of the algorithm' s status in the selection algorithm)

现代信号处理中的分数阶傅里叶变换（FRFT）的MATLAB代码，对分析信号比较有用(Fractional Fourier Transform（FRFT）code in matlab for study modern signal processing.)

histogram equalization

matlab算法集，其中讲述了我们常用的一些算法，如弦截法、史蒂芬森法，B-F-S算法等等(matlab algorithm set, which tells us some of the commonly used algorithms, such as Secant Method, Stephenson France, BFS algorithm etc.)

矩量法matlab程序设计实例：Hallen方程求对称振子天线 (Method of Moments matlab programming examples: Hallen equation seeking dipole antenna)

对于蜂窝移动通信的matlab仿真，实用性很强(For cellular mobile communication matlab simulation, very practical)

二维正方形平板中的热扩散程序，使用lbm预测板中的等温线(Thermal diffusion procedure in a two-dimensional square plate using the isotherms in the LBM prediction plate)

是帮助初学KALMAN滤波的朋友的入门程序，很有帮助！(is to help novice Kalman filtering friends induction procedures, helpful!)

计算机视觉大牛Andrew Blake著的书。 《视觉和图像处理中的马尔科夫随机场》 Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction, image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more detailed chapters that follow, as well as a stand-alone introduction to MRFs.)

说明：  这是一种不错的牛顿算法，是老外编的，大家看看吧～(This is a good Newton algorithm, is a foreigner series, we look at it ~)