^The Boosted Difference of Convex Functions Algorithm for Nonsmooth Functionshttps://doi.org/10.1137/18M123339X
difference of convex 代码difference of convex代码 差分凸函数(differenceofconvexfunctions,简称DC)是一种非光滑优化问题,其主要特点是将原问题转化为两个凸函数的差值形式。DC问题的求解通常采用DC分解法,即将原问题分解为若干子问题,每个子问题都是两个凸函数之差的形式,然后通过求解这些子问题的最优解来得到原...
Difference of convex functions algorithm (DCA)Linear preconditioning techniquesKurdyka–Łojasiewicz analysisWe consider the minimization problem with the truncated quadratic regularization, which is a nonsmooth and nonconvex problem. We cooperated the classical preconditioned iterations for linear equations into...
The DC programming and its DC algorithm (DCA) address the problem of minimizing a function f = g h (with g , h being lower semicontinuous proper convex functions on R n ) on the whole space. Based on local optimality conditions and DC duality, DCA was successfully applied to a lot of...
DifferenceOfConvex(DC)FunctionsandDCProgrammingSongcanChenOutline1.ABriefHistory2.DCFunctionsandtheirProperty3.Someexamples4.DCProgramming5.CaseStudy6.Ournextwork1.ABriefHistory•1964,HoangTuy,(incidentallyinhisconvexoptimizationpaper),•1979,J.F.Toland,Dualityformulation•1985,PhamDinhTao,DCAlgorithm•...
Ammar Na2022년 7월 12일 0 링크 번역 Hello dear freinds, I wish to get help for my code here. I am coding an algorithm, that called BDCA which is an improvment of the DCA. The first algorithm should improve the first one, but this is not happend in m...
A. (2011). Learning with sparsity by difference of convex functions algorithm. J. Optimization Methods and Software. doi:10.1080/10556788 .2011.652630 Pham Dinh, T., & Le Thi, H. A. (1998). DC optimization algorithms for solving the trust region subproblem. SIAM J. Optimization, 8, 476–...
Minimization of Transformed $L_1$ Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing We study the minimization problem of a non-convex sparsity promoting penalty function, the transformed $l_1$ (TL1), and its application in compressed sensing (CS...
Universum parametric-margin nu-support vector machine for classification using the difference of convex functions algorithmUniversum H Moosaei,F Bazikar,SHM Ketabchi - Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies 被引量...
DCA refers to optimization algorithms for difference of convex functions. For example, "basic DCA" introduced in DC programming and DCA: thirty years of developments, which is basically an iterative algorithm based on convex optimization. Does Convex.jl support DCA? Or, is there any plan for ...