A new approach to strong duality for composite vector optimization problems-Reference-Cited by-同舟云学术

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A new approach to strong duality for composite vector optimization problems

Published:2020-03-27 Issue:8 Volume:70 Page:1637-1672
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Cánovas María J.¹,Dinh Nguyen²,Long Dang H.³⁴,Parra Juan¹

Affiliation:

1. Center of Operations Research, Miguel Hernández University of Elche, Elche (Alicante), Spain

2. Department of Mathematics, International University Vietnam National University-Ho Chi Minh City, Ho Chi Minh City, Vietnam

3. Department of Mathematics and Computer Science, University of Science-VNUHCM, Ho Chi Minh City, Vietnam

4. Department of Natural Sciences, Tien Giang University, Tien Giang town, Vietnam

Funder

Ministerio de Ciencia e Innovación

Ministerio de Economía y Competitividad

Publisher

Informa UK Limited

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2020.1745796

Reference44 articles.

1. Conjugate Duality in Convex Optimization

2. New Farkas-Type Results for Vector-Valued Functions: A Non-abstract Approach

3. Farkas-Type Results for Vector-Valued Functions with Applications

4. Complete Characterizations of Robust Strong Duality for Robust Vector Optimization Problems

5. Functional inequalities and theorems of the alternative involving composite functions

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