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说明：  matlab 工具箱，非常好用，对于有这方面需求的朋友，不错的选择。(matlab toolbox, very easy to use, has in this regard for the needs of friends, good choice.)

微分方程数值解MATLAB程序代码珍藏版，一定要收藏！(Numerical Solution of Differential Equations MATLAB code Collector s Edition, be sure to collection! )

二维情况下用ＦＤＴＤ方法模拟电磁波的传播情况，加入了理想匹配层，用Ｃ和MATLAB混合编程，信号源是高斯脉冲(Two-dimensional case with the FDTD simulation of electromagnetic wave propagation, no additional absorbing boundary condition, mixed with the C and MATLAB programming, the signal source is a Gaussian pulse)

解决二个变量 之间的非线性关系，包括MATLAB中自带的五种copula函数。(Solve the non-linear relationship between two variables, including five Copula Functions in MATLAB.)

说明：  Brag.m：均匀布拉格光栅MATLAB反射谱仿真 MachZehnde_interferometer.m：分析耦合比及臂长差的改变对马赫-曾德尔干涉仪输出特性的影响 OADM.m：关于基于马赫-曾德尔干涉仪与光纤光栅的OADM(Brag.m: Simulation of MatLAB Reflectance Spectrum of Uniform Bragg Grating Mach Zehnde_interferometer.m: Analysis of the influence of coupling ratio and arm length difference on the output characteristics of Mach-Zehnder interferometer OADM.m: About OADM Based on Mach-Zehnder Interferometer and Fiber Bragg Grating)

说明：  相场模拟晶枝生长，采用有限差分法计算，可更改参数获得不同结果(Phase field simulated dendrite growth)

说明：  MIMO信道multinomal residual deterministic仿真(MIMO Channel multinomal residual deterministi c Simulation)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

元胞自动机 基于元胞自动机的交通流模型研究(Cellular automata Research on Traffic Flow Model Based on Cellular Automata)

非线性分类器训练的快速算法设计,近邻法迭代法测试样本错误率(Fast non-linear classifier training algorithm, nearest neighbor algorithm iteration test sample error rate)