fdtd.m

李津第一次大作业代码：包括共轭梯度法CG，兰索斯Lanczos法、MINRES法、SOR法、最速下降法(Li Jin first big job code: include conjugate gradient method CG, Lanczos Lanczos method, MINRES method, SOR method, the steepest descent method)

基于二阶泛模型的无模型自适应控制及参数整定，充分利用无模型自适应控制边建模边控制的特点，推导基于二阶泛模型的改进无模型自适应控制，应用辨识出的近似模型针对不同目标函数进行优化(Pan model based on second order approximation model of model-free adaptive control and parameter tuning, make full use of model-free adaptive control side edge control modeling features derived model-free adaptive control model based on improved second-order pan, identify the application The objective function to be optimized for different)

有关分数阶傅里叶变换的程序，包含有稀疏分数阶的快速算法(Procedures for fractional Fourier transform, including a sparse Fast Algorithm for Fractional)

使用MATLAB软件进行的天线仿真编程，简单易学，希望对大家学习有帮助！ (The use of MATLAB simulation software programming of the antenna, easy to learn, and they hope to help them to learn!)

说明：  简单的fdtd算法的matlab实现，能够模拟电源和高斯分布的面源(fdtd simple algorithm to achieve the Matlab to simulate power and Gaussian Surface)

说明：  MATLAB的300个应用实例，对初学者极有帮助，有益于掌握MATLAB的各种工具。(MATLAB Application of 300, very helpful for beginners, good for a variety of tools to master MATLAB.)

SOlving hyperbolic equation in Matlab

复杂网络的matlab实现，得到不同规模的BA无标度网络、WS小世界网络、随机网络、规则网络的拓扑图。还有各类型的拓扑度分布、聚集系数、平均最短路径等静态特性的实现。(Matlab implementation of complex networks, BA scale networks of different sizes, WS small world networks, random networks and regular networks are obtained. There are various types of topological degree distribution, aggregation coefficient, average shortest path and other static characteristics.)

Structured Optimal Graph Feature Selection 对图像样本进行特征选择，使用自学习算法，然后得出相似度矩阵S(% Input % X: dim*num data matrix % gamma: coefficient of L21 % d: projection dim of W(dim*d) % c: number of clusters % k: nearest neighobrs %Output %id: sorted features by ||w_i||_2)

In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f.(The secant iteration to find the zero of some non-linear function converges to zero if appropriate starting values are chosen. Although the convergence rate is not as good as the one of the Newton method, it may sometimes converge when Newton fails. The funtion should be defined as an inline function and two starting values are required to start the iteration. Please enter help secant from the Matlab prompt for usage information and examples. )