Ransac算法的c++实现

【实例简介】需要从本站点下载高中数学必修课本.part1.rar--高中数学必修课本.part7.rar共7个文件，然后使用第一个文件解压缩。 本着资源共享的精神，仅part7收取1个资源分，祝下载愉快！

MATLAB程序，基于MATLAB的自适应差分阈值法检测心电信号的QRS波

在VC2008下配置OpenCV2.0，实现细胞数目的统计及面积。可具体罗列出图中每个细胞的序号及其对应的面积值。

PCA（主成分分析法）和ICA（独立成分分析法）的MATLAB源程序 他们是目前图像处理比较经典的特征提取方法

雷达信号分选的经典matlab代码。包含PRI变换、CDIF、SDIF三种方式

3D基础：opengl 显示点云数据，MFC框架下

计算机视觉摄像机定标，点的投影和三维重建，能够完成投影矩阵、内外方位元素计算，具体使用说明在资源内部

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

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《RF and Microwave Transmitter Design》的中文版，原作者是Andrei Grebennikov。