POLAR CONVOLUTION

被引:3
|
作者
Friedlander, Michael P. [1 ,2 ]
Macedo, Ives [3 ]
Pong, Ting Kei [4 ]
机构
[1] Univ British Columbia, Dept Comp Sci, 2366 Main Mall, Vancouver, BC V6T 1Z4, Canada
[2] Univ British Columbia, Dept Math, 2366 Main Mall, Vancouver, BC V6T 1Z4, Canada
[3] Amazon, 510 West Georgia St, Vancouver, BC V6B 0M3, Canada
[4] Hong Kong Polytech Univ, Dept Appl Math, Hung Hom, Kowloon, Hong Kong, Peoples R China
关键词
gauge optimization; max convolution; proximal algorithms; GAUGE;
D O I
10.1137/18M1209088
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The Moreau envelope is one of the key convexity-preserving functional operations in convex analysis, and it is central to the development and analysis of many approaches for convex optimization. This paper develops the theory for an analogous convolution operation, called the polar envelope, specialized to gauge functions. Many important properties of the Moreau envelope and the proximal map are mirrored by the polar envelope and its corresponding proximal map. These properties include smoothness of the envelope function, uniqueness, and continuity of the proximal map, which play important roles in duality and in the construction of algorithms for gauge optimization. A suite of tools with which to build algorithms for this family of optimization problems is thus established.
引用
收藏
页码:1366 / 1391
页数:26
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