ppts

解PDE的经典隐式格式 很好用 微分方程数值解的实验程序(佛如 pde‘s)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

mobileipv6 for security

OFDM系统仿真,包含串并转换，QAMmap，IFFT转换，并串转换之类。(OFDM System Simluation)

辨识信号白噪声的产生，新手必看。希望对大家帮助(Identification signal generating white noise, Xinshoubikan)

光伏电池建模与MPPT算法和DCDC电路建模，能实现MPP的锁定(Modeling of photovoltaic cells, MPPT algorithm and DCDC circuit can achieve MPP locking.)

梯度矫正辨识梯度矫正辨识梯度矫正辨识梯度矫正辨识(tidujiaozhengbianshi)

精通matlab与c+c++混合程序设计+第2版_,PDF格式，还算清晰，刘维编著，有兴趣的朋友可以下载下来看看 共三卷 (Proficient in matlab and c+ c++ mixed programming+ version 2 _, PDF format, fairly clear, Liu Wei, ed, interested to see if friends can download down)

主要是支持向量机代码，可以很好的实现分类，是非常有用的代码。(Mainly support vector machine code, can achieve good classification, is a very useful code.)

奈曼皮尔逊准则仿真，在P(H1|H0)=a的约束条件下，使P(H1|H1)最大的准则。(Neyman-pearson criterion)