An approach to duality via image space analysis and applications to linear vector optimization problems

DOI10.1080/02331934.2024.2341016MaRDI QIDQ6632228

Chaoli Yao, Siqi Wang

Publication date: 4 November 2024

Published in: Optimization (Search for Journal in Brave)

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Linear programming (90C05)

Cites Work

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• On maximum and variational principles via image space analysis
• Separation approach for augmented lagrangians in Constrained nonconvex optimization
• Set-valued duality theory for multiple objective linear programs and application to mathematical finance
• On the image of a constrained extremum problem and some applications to the existence of a minimum
• On supremum of a set in a multidimensional space
• Image space approach to penalty methods
• Conjugate maps and duality in multiobjective optimization
• Image space analysis to Lagrange-type duality for constrained vector optimization problems with applications
• Vector Optimization with Infimum and Supremum
• The Attainment of the Solution of the Dual Program in Vertices for Vectorial Linear Programs
• Supremal points and generalized duality
• Set-valued Optimization
• Konvexe Optimierungsaufgaben in topologischen Vektorräumen.
• Convex Analysis

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