A dynamic gradient approach to Pareto optimization with nonsmooth convex objective functions

DOI10.1016/j.jmaa.2014.09.001zbMath1304.49032arXiv1406.1694OpenAlexW1992296912MaRDI QIDQ458364

Guillaume Garrigos, Xavier Goudou, Hedy Attouch

Publication date: 7 October 2014

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1406.1694

zbMATH Keywords

subdifferential operatorsYosida regularizationgradient-like methodsmultiobjective convex optimizationPareto minima

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Nonsmooth analysis (49J52) Methods of reduced gradient type (90C52)

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