- Title
- Subdifferentials and stability analysis of feasible set and pareto front mappings in linear multiobjective optimization
- Creator
- Cánovas, Maria; López, Marco; Mordukhovich, Boris; Parra, Juan
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/173360
- Identifier
- vital:14642
- Identifier
-
https://doi.org/10.1007/s10013-020-00402-6
- Identifier
- ISBN:2305-221X (ISSN)
- Abstract
- The paper concerns multiobjective linear optimization problems in; Funding details: European Commission, EC Funding details: European Regional Development Fund, FEDER Funding details: Australian Research Council, ARC Funding details: Australian Research Council, ARC, DP180100602 Funding details: Australian Research Council, ARC, DP-190100555 Funding details: Air Force Office of Scientific Research, AFOSR, 15RT04 Funding details: DMS-1512846, DMS-1808978 Funding text 1: This research has been partially supported by grants MTM2014-59179-C2-(1,2)-P and PGC2018-097960-B-C2(1,2) from MINECO/MICINN, Spain, and ERDF, “A way to make Europe”, European Union. Funding text 2: Research of the second author is also partially supported by the Australian Research Council (ARC) Discovery Grants Scheme (Project Grant # DP180100602). Funding text 3: Research of third author was partially supported by the USA National Science Foundation under grants DMS-1512846 and DMS-1808978, by the USA Air Force Office of Scientific Research grant #15RT04, and by Australian Research Council under grant DP-190100555.
- Publisher
- Springer
- Relation
- Vietnam Journal of Mathematics Vol. 48, no. 2 (2020), p. 315-334; http://purl.org/au-research/grants/arc/DP180100602
- Rights
- Copyright © Vietnam Academy of Science and Technology (VAST) and Springer Nature Singapore Pte Ltd. 2020
- Rights
- This metadata is freely available under a CCO license
- Rights
- Open Access
- Subject
- 0101 Pure Mathematics; Epigraphical set-valued mappings; Feasible set mappings; Linear programming; Lipschitz moduli; Multiobjective optimization; Optimal value functions
- Full Text
- Reviewed
- Funder
- Funding details: European Commission, EC Funding details: European Regional Development Fund, FEDER Funding details: Australian Research Council, ARC Funding details: Australian Research Council, ARC, DP180100602 Funding details: Australian Research Council, ARC, DP-190100555 Funding details: Air Force Office of Scientific Research, AFOSR, 15RT04 Funding details: DMS-1512846, DMS-1808978 Funding text 1: This research has been partially supported by grants MTM2014-59179-C2-(1,2)-P and PGC2018-097960-B-C2(1,2) from MINECO/MICINN, Spain, and ERDF, “A way to make Europe”, European Union. Funding text 2: Research of the second author is also partially supported by the Australian Research Council (ARC) Discovery Grants Scheme (Project Grant # DP180100602). Funding text 3: Research of third author was partially supported by the USA National Science Foundation under grants DMS-1512846 and DMS-1808978, by the USA Air Force Office of Scientific Research grant #15RT04, and by Australian Research Council under grant DP-190100555.
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