8puzzle

说明：  用MATLAB编写的求曲线拟合的程序，希望大家分享一下。我是新来的。(Prepared using MATLAB for curve fitting process, I hope to share with Members. I was new.)

基于morphing论文利用matlab工具编写的一个简单的morphing技术实现的代码，可以下载看一下！(Paper-based morphing tool using matlab prepared a simple morphing technology to achieve the code, you can download a look!)

一些ICA的外国文献，都是开辟ICA领域的奠基之作。(Some of the ICA foreign literature, all is the foundation of the field open ICA works. )

1998年, Watts和Strogatz 提出了小世界网络这一概念,并建立了WS模型。 实证结果表明,大多数的真实网络都具有小世界特性(较小的最短路径) 和聚类特性(较大的聚类系数) 。 WS小世界模型构造算法 1、从规则图开始：考虑一个含有N个点的最近邻耦合网络，它们围成一个环，其中每个节点都与它左右相邻的各K/2节点相连，K是偶数。 2、随机化重连：以概率p随机地从新连接网络中的每个边，即将边的一个端点保持不变，而另一个端点取为网络中随机选择的一个节点。其中规定，任意两个不同的节点之间至多只能有一条边，并且每一个节点都不能有边与自身相连。 (In 1998, Watts and Strogatz proposed the concept of the small world network, and the establishment of the WS model. The empirical results show that most real networks have small world (the smaller the shortest path) and clustering properties (high clustering coefficient). WS small-world model construction algorithm 1, from the rules FIG: consider a nearest neighbor coupling network with N points, they are surrounded by a ring, wherein each node and its left and right adjacent to each of K/2 connected to the node, K is an even number. The 2 randomized reconnection: randomly with probability p from the new connection on each side of the network, coming section of one of the endpoints remain unchanged, while the other endpoint is taken as the random selection of a node in the network. Which states that between any two different nodes can have at most one edge, and each node can not be connected to its own side.)

代码使用差分进化算法解决了车辆路径问题，供大家学习参考(The code uses differential evolution algorithm to solve the vehicle routing problem.)

说明：  这是对于矩阵分解里面，最新出现的一种新的算法：非负矩阵分解的程序(This is the decomposition of the matrix inside, emerging a new algorithm: the procedure of non-negative matrix factorization)

这是压缩感知领域，一个重构算法--子空间追踪方法，此方法是基于OMP之后的改进算法。(This is a compressed sensing area, a reconstruction algorithm- subspace tracking methods, this method is based on the OMP after the improved algorithm.)

在共梯度法中 只有当初值的选取靠近最优解时 迭代才会收敛 当远离时发散 且 当精度控制为0.1时可以实现 但设为0.01时就实现不了(numeberica method)

interruptible load stochastic

主要详细的介绍了matlab的一些使用方法，这对于一个新手而言绝对很有帮助(Mainly a detailed description of some use matlab, which is definitely helpful for a novice)