Clarke Subdifferential, Pareto-Clarke Critical Points and Descent Directions to Multiobjective Optimization on Hadamard Manifolds

Erik Alex Papa Quiroz, Nancy Baygorrea, Nelson Maculan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we aim to complement our work reported in [20] by showing some further properties and results on Clarke subdifferential, Pareto-Clarke critical points and descent directions on Hadamard manifolds. These tools and results can be applied to introduce new algorithms for solving nonsmooth nonconvex multiobjective minimization problems on Hadamard manifolds.

Original languageEnglish
Title of host publicationModelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021
EditorsHoai An Le Thi, Hoai Minh Le, Hoai An Le Thi, Tao Pham Dinh
PublisherSpringer Science and Business Media Deutschland GmbH
Pages182-192
Number of pages11
ISBN (Print)9783030926656
DOIs
StatePublished - 2022
Externally publishedYes
Event4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021 - Hanoi, Viet Nam
Duration: 11 Dec 202113 Dec 2021

Publication series

NameLecture Notes in Networks and Systems
Volume363 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021
Country/TerritoryViet Nam
CityHanoi
Period11/12/2113/12/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Descent direction
  • Hadamard manifolds
  • Multiobjective optimization
  • Pareto optimality
  • Pareto-Clarke critical point

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