Epi-convergence: The Moreau Envelope and Generalized Linear-Quadratic Functions
Chayne Planiden () and
Xianfu Wang ()
Additional contact information
Chayne Planiden: University of Wollongong
Xianfu Wang: University of British Columbia Okanagan
Journal of Optimization Theory and Applications, 2018, vol. 177, issue 1, No 2, 63 pages
Abstract:
Abstract This work explores the class of generalized linear-quadratic functions, constructed using maximally monotone symmetric linear relations. Calculus rules and properties of the Moreau envelope for this class of functions are developed. In finite dimensions, on a metric space defined by Moreau envelopes, we consider the epigraphical limit of a sequence of quadratic functions and categorize the results. We examine the question of when a quadratic function is a Moreau envelope of a generalized linear-quadratic function; characterizations involving nonexpansiveness and Lipschitz continuity are established. This work generalizes some results by Hiriart-Urruty and by Rockafellar and Wets.
Keywords: Attouch–Wets metric; Complete metric space; Epi-convergence; Extended seminorm; Fenchel conjugate; Firmly nonexpansive; Generalized linear-quadratic function; Linear relation; Lipschitz continuous; Maximally monotone; Nonexpansive; Moreau envelope; Proximal mapping; 47A06; 52A41; 47H05; 90C31 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10957-018-1254-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:177:y:2018:i:1:d:10.1007_s10957-018-1254-0
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-018-1254-0
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().