simulation-in-modern-communications

Kelly的Solving Nonlinear Equations with Newton’s Method(This small book on Newton’s method is a user-oriented guide to algorithms and implementation. Its purpose is to show, via algorithms in pseudo-code, in MATLAB, and with several examples, how one can choose an appropriate Newton-type method for a given problem and write an ef£ cient solver or apply one written by others.)

蚁群算法！！！经典培训资料，建模必备！！！！！！！！！！(ACO! ! ! Classical training materials, modeling must! ! ! ! ! ! ! ! ! !)

FUZZY MEASURE-BASED FUZZY RULE INTERPOLATION BASED ON

基于MPI架构的ISAT（In Situ Adaptive Tabulation，自适应表格法）算法示例(A ISAT（In Situ Adaptive Tabulation） program based on MPI)

This submission includes the presentation and model files that were used in delivering a webinar on 12-15-05 that covered the topic of modeling Hybrid Electric Vehicles. Hybrid electric vehicles (HEVs) have proven they can substantially improve fuel economy and reduce emissions. Because HEVs combine an electric drive with the internal combustion engine (ICE) in the powertrain, the vehicle?s kinetic energy can be captured during braking and transformed into electrical energy in the battery. The dual power source also means that the ICE can be reduced in size and can operate at its most efficient speeds.

text and plate recognition system

QZSI is analyzed. And then, the MPPT control technique with a modified P&O method, the PCC current control one for the regulation of dc-link capacitor voltage,

这一课我们用 4 个按键来控制播放音乐。K1－K3 每个键播放一首音乐，K4 按键停止 音乐的播放 (this)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

MATLAB语言常用算法程序集,包含了大量的实例程序(MATLAB language programs, including a large number of example programs)