CLASON, Christian, Stanislav MAZURENKO and Tuomo VALKONEN. ACCELERATION AND GLOBAL CONVERGENCE OF A FIRST-ORDER PRIMAL-DUAL METHOD FOR NONCONVEX PROBLEMS. SIAM JOURNAL ON OPTIMIZATION. PHILADELPHIA: SIAM PUBLICATIONS, 2019, vol. 29, No 1, p. 933-963. ISSN 1052-6234. Available from: https://dx.doi.org/10.1137/18M1170194.
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Basic information
Original name ACCELERATION AND GLOBAL CONVERGENCE OF A FIRST-ORDER PRIMAL-DUAL METHOD FOR NONCONVEX PROBLEMS
Authors CLASON, Christian (guarantor), Stanislav MAZURENKO (643 Russian Federation, belonging to the institution) and Tuomo VALKONEN.
Edition SIAM JOURNAL ON OPTIMIZATION, PHILADELPHIA, SIAM PUBLICATIONS, 2019, 1052-6234.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10102 Applied mathematics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.247
RIV identification code RIV/00216224:14310/19:00113487
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1137/18M1170194
UT WoS 000462593800036
Keywords in English acceleration; convergence; global; primal-dual; first order; nonconvex
Tags rivok
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 1/4/2020 22:45.
Abstract
The primal-dual hybrid gradient method, modified (PDHGM, also known as the Chambolle-Pock method), has proved very successful for convex optimization problems involving linear operators arising in image processing and inverse problems. In this paper, we analyze an extension to nonconvex problems that arise if the operator is nonlinear. Based on the idea of testing, we derive new step-length parameter conditions for the convergence in infinite-dimensional Hilbert spaces and provide acceleration rules for suitably (locally and/or partially) monotone problems. Importantly, we prove linear convergence rates as well as global convergence in certain cases. We demonstrate the efficacy of these step-length rules for PDE-constrained optimization problems.
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