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CVX下载、安装以及“此类型的变量不支持使用点进行索引错误”的错误
CVX作为凸优化的工具包,在Matlab中进行相关凸函数的优化中作用很大。本文旨在提供从下载到安装的方法,以及分析自己碰到的一个比较奇怪的问题,网上并没有相关解答,在多次尝试后解决了该问题,与大家分享。 一、下载及安装 下载地址:Download CVX | CVX Research, Inc. 平台:Win10 专业版Python求解凸优化问题之CVXPY
CVXPY CVX是由Michael Grant和Stephen Boyd开发的用于构造和解决严格的凸规划(DCP)的建模系统,建立在Löfberg (YALMIP), Dahl和Vandenberghe (CVXOPT)的工作上。 CVX支持的问题类型 Linear programs (LPs)Quadratic programs (QPs)Second-order cone programs (SOCPs)Semidefic++:结构体的应用
结构体的应用 定义访问 定义 为了定义结构,您必须使用 struct 语句。struct 语句定义了一个包含多个成员的新的数据类型,struct 语句的格式如下: struct type_name { member_type1 member_name1; member_type2 member_name2; member_type3 member_name3; . . } object_namesL1-SVD实现DOA
最近事情太多,来不及更新。看了一篇很经典的论文D. Malioutov, M. Cetin and A. S. Willsky, "A sparse signal reconstruction perspective for source localization with sensor arrays," in IEEE Transactions on Signal Processing, vol. 53, no. 8, pp. 3010-3022, Aug. 20Solution -「多校联训」最大面积
\(\mathcal{Description}\) Link. 平面上有 \(n\) 个点 \(A_{1..n}\),\(q\) 次询问,每次给出点 \(P\),求 \[\max_{1\le l\le r\le n}\left\{\sum_{i=l}^r \vec{OP}\times\vec{OA_i}\right\}. \] \(n\le10^5\),\(q\le10^6\)。 \(\mathcal{Solution}\)CVX报错“未定义与输入参数‘double‘’相对应的函数‘vec‘”
错误信息如下: 未定义与输入参数’double’’相对应的函数’vec’ error cvxprob/solve (line 250) Anew2 = Anew * diag(sparse(vec(amult(orow,:)))); error cvx_end (line 88) solve( prob ); error TDMA_solvedby_cvx (line 110) cvx_end 解决方法: 将 cvx/functions/vec_凸优化计算实例CVX:Bound-constrained least squares
考虑一个最基本的凸优化问题: 最小二乘,也称为线性回归 设y=Ax+b, x ∈ R n x \in R^n x【CVX】Interpolation with convex functions & Penalty function approx.
Navigator InterpolationFitting a convex function to given datacvx/yalmip code Penalty function approx.log barrier penalty Reference Interpolation Question: When does there exist a convex function f【CVX】Robust approximation
Navigator Probability distributionNorm ball constraintRobust approximationWorst-case robust approximationComparsion of stochastic and worst-case robust approximationcvx code Finite SetNorm bound errorUncertainty ellipsoids Reference Probability dist【CVX】Lp norm approximation
Navigator Norm approximation problemcvx codeyalmip codecvx codeyalmip code Reformulationcvx codeyalmip code cvx: dualyalmip: dualReference Norm approximation problem We consider the unconstrained norm approximation problem【CVX】SDP and conic form problems
Navigator Basic modelcvx codeyalmip code A simple QP with inequalities constraintscvx codeyalmip code Reference Basic model LMIs and SDPs with one variable. The generalized eigenvalues of a matrix pair (