optsim1

股票指数模拟为几何布朗运动，GBM。 参数有五个： s0，dt（time step），均值，标准差，到期时间T； 利用子函数进行10万条轨道的monte carlo 模拟到期日（3个月）的指数点数，从而估计在买入信号出现后，3个月后的损益情况，主要用来估算VAR (Financial risk analysis on Matlab monte carlo simulation, stock index simulation for geometric Brownian motion, GBM. )

Matrix of cofactors in matlab

基于贝叶斯的显著目标检测代码。内附图像数据。(Bayesian significant target detection code. With the image data.)

一个脉冲序列生成器，用于超宽带通信 一个脉冲序列生成器，用于超宽带通信(A pulse sequence generator for ultra-wideband communications of a pulse sequence generator for ultra-wideband communications)

開回路是的基礎型升壓型變換器，可以改變DUTY值來改變輸出電壓。(Open loop is the basis of type boost converter, you can change the value to change the output voltage DUTY.)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

潮流计算,计算简单的潮流分析程序,可以自己修改节点个数,节点类型(Flow calculation, calculation of simple trend analysis program can modify the number of nodes, node types)

La logique floue est le meilleur moyen de convertir les stratégies de contrô le du langage naturel qui sont utilisées par l’homme à une forme utilisable par les machines. Des expériences ont montré qu’un contrô leur classique donne parfois même de meilleurs résultats que l’opérateur humain

Erlang B,is a modeling formula that is widely used in call center scheduling, implementation in matlab

CCA的实现，用于两个数据集合上的典型相关分析，需要确定维数等(kjasd asdgf kl dsf)