myPFC

In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.

non linear simulation techniques for circuits FDTD

标准粒子群优化算法的程序。运用matlab编写。(Standard particle swarm optimization procedures. Using matlab prepared.)

數位影像處理作業 noise filter (Digital Image Process Noise filter)

实现M=4,8 PSK星设图 M=4的PSK系统，分别取信噪比为odB、10dB和20dB，在星座图上观察接收端接收到的信号向量。(achieve M = 4,8 PSK-based map of M = 4 PSK system, the signal-to-noise were taken odB. 10dB and 20dB, in the constellation observation receiving termination received signal vector.)

Segmentation function for matlab : this fucntion convert an intensity image to a binary image by using Entropy-based method.

FactorTutorial with some improvements to help in the examples. There is no answer here

LBM法求解流体力学中的泊肃叶流问题，输入迭代次数，输出动态速度分布图。(LBM method in fluid mechanics Poiseuille flow problem, enter the number of iterations, output dynamic velocity distribution.)

说明：  用节约里程法求解VRP问题，带有实例，可运行。(The VRP Problem is solved by mileage saving method, with examples, which can be operated.)

Optical Fibre Toolbox