A telescopic Bregmanian proximal gradient method without the global Lipschitz continuity assumption
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Publication:2322358
DOI10.1007/s10957-019-01509-8zbMath1427.90222arXiv1804.10273OpenAlexW2916900753WikidataQ128174547 ScholiaQ128174547MaRDI QIDQ2322358
Daniel Reem, Simeon Reich, Alvaro Rodolfo de Pierro
Publication date: 4 September 2019
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.10273
minimizationLipschitz continuityBregman divergencestrongly convextelescopic proximal gradient methodTEPROG
Convex programming (90C25) Nonlinear programming (90C30) Iterative procedures involving nonlinear operators (47J25) Decomposition methods (49M27) Convexity of real functions of several variables, generalizations (26B25) Real-valued functions in general topology (54C30)
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