FEM-MATLAB

Solution of pocklington by using Method of Moment

  最小费用最大流算法通用Matlab函数 基于Floyd最短路算法的Ford和Fulkerson迭加算法   基本思路：把各条弧上单位流量的费用看成某种长度,用Floyd求最短路的方法确定一条   自V1至Vn的最短路 再将这条最短路作为可扩充路,用求解最大流问题的方法将其上的流   量增至最大可能值 而这条最短路上的流量增加后,其上各条弧的单位流量的费用要重新   确定,如此多次迭代,最终得到最小费用最大流.( Minimum cost maximum flow algorithm for general Matlab functions based on the Floyd shortest path algorithm of Ford and Fulkerson superposition algorithm of the basic ideas: the cost of unit flow on the arc as a certain length of Floyd for the most short-circuit method to determine the one percent V1 through Vn are the most short-circuit then this short circuit as a scalable road, a method for solving the maximum flow problem on flow increased to the maximum possible value that the shortest way increased traffic, the cost of unit flow on each arc sure, so many iterations, the final minimum cost maximum flow.)

本文件是关于如何用牛顿法进行潮流计算的指导书，学习者可以根据书中的步骤实现程序的编写，提高程序编写能力。(This document is about how to use Newton s method flow calculation instructions, learners can write a program in accordance with the steps in the book to improve programming skills.)

This code is for Smith Controller in model predictive control.

code to simulate the fiber laser mode

D2D通信的资源分配算法。一对一复用，吞吐量最大化。(The resource allocation algorithm for D2D communication.)

贝叶斯公式在临床中的应用是利用贝叶斯公式根据验前概率和条件概率来推算验后概率, 进而帮助诊断患者到底患种疾病中的哪一种。具体方法是根据以往积累统计资料, 对种疾病的验前概率人及各种条件概率人进行估算。在诸症状的一种具体组合已经出现的条件下, 按贝叶斯公式计算出各种疾病在这种具体症状组合下发生的概率即验后概率。比较各疾病的验后概率。如果某疾病人的验后概率明显大于其它疾病的验后概率, 便可诊断患者患的哪种疾病。(According to mass statistical results, try to work out the probability of 4 diseases and the class-conditional probability()

这是一个很好的关于turbo乘积码的matlab代码(This is a very good turbo product codes on the Matlab code)

生成白噪声信号：包括采样频率，最大和最小频率，时间长度，幅值等要求的信号。(Generated white noise signal: including sampling frequency, maximum and minimum frequency, duration, amplitude and other requirements of the signal.)

Chen s超混沌的实现，共产生了4个混沌系列并且画出了吸引子(Chen s super chaotic implementation produced a total of four series and depicts the chaos attractor)