常规潮流算法-牛拉法 - 极坐标备份

说明：  使用matlab对图像进行特征提取的例子。对图像中的车牌号进行读取。(Use the image feature extraction matlab example. License plate number on the image to read.)

俄罗斯方块matlab GUI平台的例程，自带程序说明(Tetris routines matlab GUI platform, comes with the program description)

D-S证据理论数据融合，粒子图像分割及匹配均为自行编制的子例程，仿真图是速度、距离、幅度三维图像，加入重复控制，合成孔径雷达（SAR)目标成像仿真，从先验概率中采样，计算权重。( D-S evidence theory data fusion, Particle image segmentation and matching subroutines themselves are prepared, FIG simulation speed, distance, amplitude three-dimensional image, Join repetitive control, Synthetic Aperture Radar (SAR) imaging simulation target, Sampling a priori probability, calculate the weight.)

说明：  一篇基于交叉粒子群的改进算法，适于无线传感器的优化路由(A cross-Based Particle Swarm improved algorithm for optimization of routing in wireless sensor)

Some useful wireless communication lectures 3.

求解MTSP问题的floyd算法，含数据，实例(floyd algorithm for MTSP)

在控制工程中的应用，自动化的学生应该用的到(matlab in control engineering)

This file include the pdf, matlab codes and simulation model of the sine_pwm_inverter This is small project and being implemented to learn the matlab simulink modelling so kindly refer for your exercise regards

a 16 bit carry look ahead adder verilog code

Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。(The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined.)