zishiyingfenpin

“基于Floyd最短路算法的Ford和Fulkerson迭加算法”的最小费用最大流算法，其基本思路为：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。 (" Floyd shortest path algorithm based on the Ford and Fulkerson algorithm superposition" of the minimum cost maximum flow algorithm, the basic idea is: the flow of each arc on the unit cost as a length, with Floyd for the most short-circuit method to determine a from V1 to Vn of the most short-circuit then this can be expanded as the shortest way, by solving the maximum flow of traffic on the way to its maximum possible value and this increased the flow of the shortest path, on which the arcs of the unit to re-determine the cost of traffic, so several iterations, finally get the minimum cost maximum flow.)

我自己编写的用遗传算法寻找KSW最佳二维阈值，搞噪效果很好。(I prepared using genetic algorithm to find the best 2D Threshold KSW, engage in noise with good results.)

Optics Programming in matlab

MB8四旋翼自动驾驶仪的源码，包括姿态采集，状态估计以及控制输出。不推荐直接使用，但是可以作为学习(MB8 four rotor autopilot source, including posture acquisition, state estimation and control output. Not recommended for direct use, but can be used as learning)

admm，压缩感知的重构程序，内有仿真信号(admm，compressive sensing)

chuong trinh vi du phep toan cong dung matlab viet giao dien

Joan Solà编写6自由度扩展卡尔曼滤波slam算法工具包，解决视觉和机器人定位SLAM的一些列算法matlab工具包，对机器人定位和地图创建以及基于视觉的定位有很大帮助(This toolbox performs 6DOF SLAM using the classical EKF implementation. It is conceived as an "active-search" SLAM. It is provided for free under the GPL license (please read the file COPYING and make sure you agree in the terms and conditions before using it). Users might consider citing in their scientific communications one of the papers of the authors (SOLA-ETAL-IROS-05a, SOLA-ETAL-TRO-08, SOLA-ETAL-IROS-09) appearing on the References section in the documentation, and also acknowledging the use of this toolbox.)

ffd算法 用于ffd的运行，即快速图像配准算法(ffd ffd running algorithm, that algorithm for fast image registration)

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)

DQM法求解输液管道的流致振动问题，求解临界流速。考察颤振失稳和发散失稳的失稳方式。(DQM pipeline flow infusion method induced vibration problems, solving the critical velocity. Investigated the flutter instability and divergence instability of the instability mode.)