zerocode2

具有反馈控制的动力消振器的响应分析 利用MATLAB中的simulink对消振器进行仿真(With feedback control of dynamic absorber response analysis using MATLAB simulink in the simulation of the damper)

template for a technical paper

matlab，时间序列分析，分类，数据挖掘，聚类(time series classification)

刘宝碇《不确定规划及应用》第4章例4.3的matlab程序。内容简单，但可以有效的帮助初学者理解随机模拟的原理。(Liu anchor " uncertain Planning and Applications" in Chapter 4 Example 4.3 matlab program. Content is simple, but can effectively help beginners understand the principles of stochastic simulation.)

A Sampling Matlab Code

用MATLAB合成歌唱祖国，包括初步与简单改变（包络）(Ode to the Motherland synthesis using MATLAB, including the initial and simple to change (the envelope))

antenna designing matlab

通过遗传算法计算下列函数的最大值 f(x)=10*sin(5x)+7*cos(4x) x∈[0,10] (The following functions calculate the maximum by genetic algorithm f(x)=10*sin(5x)+7*cos(4x) x∈[0,10])

国外经典LBM D2Q9 D3Q19模型的matlab程序，亲测可用。可用于渗流场和热传递模拟。自己根据需要修改模型。引用时记得注明出处。版权问题概不负责。(Foreign LBM D2Q9 D3Q19 model matlab procedures, pro-test available. It can be used for seepage and heat transfer simulation. Make changes to the model as needed. Remember when referring to attribution. We are not responsible for copyright issues.)

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)