keams聚类算法matlab界面实现，支持多维

C#通过Kepserver 与PLC通信配置及C#实现读取实例教程

alternating direction method of multipliers优化算法讲解OutlineDual decompositionMethod of multipliersAlternating direction method of multipliersCommon patternsExamplConsensus and exchangeConclusionsDual decompositionDual problemp convex equality constrained optimization problemminimizesubject to Ax= 6e Lagrangian: L(a, g)=f(a)+y(Ac-bdual function: g(y)=infx L(, g)e dual problem: maximize g(g)recover x*=argminL(, y*)Dual decompositionDual ascentgradient method for dual problem: y+l=yk +aVg(yky ")=A c-b, where a= argmin L(a, y")b dual ascent method isk+1gminz L(a, yk/-minimization(Axk+I-b)// dual updateworks, with lots of strong assumptionsDual decompositionDual decompositione suppose f is separablef(x)=f1(x1)+…+fN(xN),x=(x1Nthen L is separable in x: L(a, y)=L1(a1, 3)+...+Ln(N, 3)-y bLi(ai, y)=fi(ai)+y Aiaie -minimization in dual ascent splits into N separate minimizationsk+1argmin Li(li, y)Which can be carried out in parallelDual decompositionDual decompositiondual decomposition(Everett, Dantzig, Wolfe, Benders 1960-65k+1argLi(ei, y)N A: k+scatterupdate i in parallel, gather Ai k+solve a large problemby iteratively solving subproblems(in parallel)dual variable update provides coordinationworks, with lots of assumptions; often slowDual decompositionOutlineDual decompositionMethod of multipliersAlternating direction method of multipliersCommon patternsExamplConsensus and exchangeConclusionsMethod of multipliersMethod of multipliersa method to robustify dual ascentb use augmented Lagrangian(Hestenes, Powell 1969),p>0(, y)=f(c)+y(Ax-b)+(p/2)Acmethod of multipliers( Hestenes, Powell; analysis in Bertsekas 1982)k+1argmin Lp(a, yD(A.(note specific dual update step length pMethod of multipliersMethod of multipliers dual update stepoptimality conditions( for differentiableAcx-b=0, Vf(a*)+A(primal and dual feasibility)Since ah+1minimizes Lp(a, y)k+1 kf(x4+1)+A7(y+p(AVxf(at)+adual update yti=y+p(k+1k+1dual feasibleprimal feasibility achieved in limit: A k+I-b>0Method of multipliers

二自由度车辆动力学模型(Simulink)

Fluent 中文UDF很好的学习课件，如果您对FLUENT感兴趣，我们可以经常沟通，祝大家好运

无刷直流电机PID控制 BP神经网络 电机控制

ADI公司器件PCB封装库和原理图库。该ADI公司芯片封装库，为AltuimDesigner版的，同时支持3D模型显示。

利用计算机信息及应用程序名称、用户名、密码，采用MD5算法，计算软件授权码，其中的类可以直接用在应用程序中

里面有国内外论文20多篇还有两个PSCAD的仿真，绝对超值，还有一篇博士论文由于太大未上传，请搜索《模块组合多电平变换器_MMC_研究_杨晓峰》

完整版Python-Django项目，调试通过，直接下载即可运行包括：登陆、注册、浏览、搜索、等多个功能。可作为新手练习，课程设计，毕业设计，代码注释详细，便于理解。

写论文中，若用典型的分簇算法，必须要用的对比试验，经典的LEACH算法，b本人改进了一下，绝对正确的Leach改进代码！