Title	A forward-backward method for solving vector optimization problems
Creator	Grad, Sorin-Mihai
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-09-19T12:27
Description	We present an iterative proximal inertial forward-backward method with memory effects, based on recent advances in solving scalar convex optimization problems and monotone inclusions, for determining weakly efficient solutions to convex vector optimization problems consisting in vector-minimizing the sum of a differentiable vector function with a nonsmooth one, by making use of some adaptive linear scalarization techniques. During the talk, the difficulties encountered while formulating the algorithm and proving its convergence will be stressed, while the related (still unsolved) challenge of extending the celebrated FISTA method from scalar to vector optimization problems will be mentioned, too. The talk is based on joint work with Radu Ioan Boț.
Extent	36 minutes
Subject	Mathematics; Operations research, mathematical programming; Operator theory; Control/optimization/operation research
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Chemnitz University of Technology
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2018-03-24
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0364447
URI	http://hdl.handle.net/2429/64917
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Postdoctoral
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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A forward-backward method for solving vector optimization problems Grad, Sorin-Mihai

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