computation

V2V，即车载通信matlab仿真参考文档，国外研究生成果，仅供参考(V2V, or vehicle communication matlab simulation reference documentation, the results of foreign graduate students, for reference only)

利用角谱传播理论，计算光束传播很远距离后的分布情况，即远场分布(Use angular spectrum propagation theory to calculate the distribution of the beam propagation after a very long distance, that far-field distribution)

this is a source code of matlab, implementing an algorithm called Seam Carving.

计算Lyapunov的程序，网上下载的原版，同之前的差不多(Calculate the Lyapunov procedures, download the original, with the previous almost)

说明：  《实战Matlab之并行程序设计》程序代码，教材的附录代码，可供大家根据课本学习使用("Practical Matlab Parallel Programming" program code, appendix code of the textbook, for everyone to learn and use according to the textbook)

利用自适应抵消法提高声矢量圆阵的稳健性，本例得到输出信干噪比随输入信噪比的变化曲线。(Using adaptive method to improve the acoustic vector offset circular array of robustness, in this case to obtain an output SINR curve with the input signal to noise ratio.)

实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)

本人原创的用遗传算法实现的vrp问题求解，基于matlab语言(I original genetic algorithm is used to achieve the vrp problem solving, based on the matlab language)

极小化误差平方和算法聚类源代码，下载后直接运行就可以了(Minimizing the error sum of squares clustering algorithm source code can be run directly after downloading the )

In power engineering, the power flow study (also known as load-flow study) is an important tool involving numerical analysis applied to a power system.