Examples-of-annealing-algorithm

MATLAB 7.x系统建模与仿真代码，包括有： 1 第2~3.5~11章源代码 2 程序详细说明(MATLAB 7.x system modeling and simulation code, including: 1 2 ~ 3.5 ~ 11 Chapter 2 program source code details)

1、用for和if语句求出供求函数以及稳定时的产量和价格。 2、用多重for循环语句和plot语句画出蛛网模型。 3、制作动画语句。 (1, with for and if statements when you find a stable supply and demand functions and production and prices. 2, with multiple plot statement for loop and draw the cobweb model. 3, animation statements.)

LCL filter Model m file

该文件中包含有常微分方程初值问题的四种数值解法，分别是：RK4法，AB4法，AB4_AM4预测矫正法和改进的AB4_AM4法(The document contains the initial value problem of ordinary differential equations of the four numerical method, namely: RK4 method, AB4 Act, AB4_AM4 forecast correction method and improved method AB4_AM4)

经典的OFDM仿真程序,比较简单，适合初做仿真者用。(A symple program of OFDM)

设计弹出菜单利用 Visual basic 6.0 开发工具实现(Visual basic 6.0 )

dpsk调制解调及相应误码率计算。随机产生正弦信号并进行调制解调。(dpsk modem and the corresponding bit error rate. Randomly generated sinusoidal signal and modem.)

An implementation of a disjoint-set data structure using a disjoint set forest.

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

超宽带无线通信的NAKAGAMI信道的各种经典论文。对于该信道的uwb学习很有指导作用(UWB ，NAKAGAMI channel)