NONSMOOTH

作品数:84被引量:95H指数:5
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相关领域:理学更多>>
相关作者:王文松刘晶高岩汪洋蔡邢菊更多>>
相关机构:南京师范大学四川大学上海理工大学更多>>
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A Coordinate Gradient Descent Method for Nonsmooth Nonseparable Minimization被引量:9
《Numerical Mathematics(Theory,Methods and Applications)》2009年第4期377-402,共26页Zheng-Jian Bai Michael K. Ng Liqun Qi 
supported by NSFC Grant 10601043,NCETXMU;SRF for ROCS,SEM;supported by RGC 201508;HKBU FRGs;supported by the Hong Kong Research Grant Council
This paper presents a coordinate gradient descent approach for minimizing the sum of a smooth function and a nonseparable convex function.We find a search direction by solving a subproblem obtained by a second-order a...
关键词:Coordinate descent global convergence linear convergence rate 
A NONMOTOTONE ALGORITHM FOR MINIMIZING NONSMOOTH COMPOSITE FUNCTIONS
《Numerical Mathematics A Journal of Chinese Universities(English Series)》1997年第2期152-162,共11页孙小玲 张连生 
In this paper, we present a nonmonotone algorithm for solving nonsmooth composite optimization problems. The objective function of these problems is composited by a nonsmooth convex function and a differentiable funct...
关键词:NONSMOOTH optimization composite FUNCTION AQP method NONMONOTONE LINE search. 
A SQP METHOD FOR MINIMIZING A CLASS OF NONSMOOTH FUNCTIONS
《Numerical Mathematics A Journal of Chinese Universities(English Series)》1996年第2期139-146,共8页孙小玲 张连生 白延琴 
In this paper,we present a successive quadratic programming(SQP)method for minimizing a class of nonsmooth functions,which are the sum of a convex function and a nonsmooth composite function.The method generates new i...
关键词:NONSMOOTH OPTIMIZATION SQP method GLOBAL convergence. 
NONDESCENT SUBGRADIENT METHOD FOR NONSMOOTH CONSTRAINED MINIMIZATION
《Numerical Mathematics A Journal of Chinese Universities(English Series)》1994年第2期126-134,共9页徐慧福 
A kind of nondecreasing subgradient algorithm with appropriate stopping rule has been proposed for nonsmooth constrained minimization problem. The dual theory is invoked in dealing with the stopping rule and general g...
关键词:NONSMOOTH constrained MINIMIZATION DUALITY SUBGRADIENT method STOPPING RULE convergence. 
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