I-LEACH_VS_LEACH

基于遗传算法的最优控制的研究，是一篇论文。(Based on genetic algorithms optimal control studies, is a paper.)

matlab language study using matlab(matlab study)

Animate a bear using sprites, using cocos 2D

steepest golden section method optimization methods and algorithms

最优化方面的牛顿法算法，方便入门同学学习(Newton' s method algorithm optimized with respect to the most convenient entry students learning)

粒子群优化算法MATLAB代码，基于粒子群算法的多目标优化算法(Particle swarm optimization algorithm code)

用matlab编写的用中心差分法求解二自由度问题(Prepared using matlab central difference method with two degrees of freedom problem)

Enegry of a Speech signal.

最小一乘算法和最小一乘拟合直线。这是最小一乘拟合直线的matlab算法(Least absolute deviation fitting algorithm and the least absolute deviation line. This is the minimum )

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)