Separation, convexity and polarity in the space of normlinear functions

DOI10.1080/02331934.2022.2038153zbMath1489.52002OpenAlexW4221083516MaRDI QIDQ5077171

Alberto Zaffaroni

Publication date: 18 May 2022

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2022.2038153

zbMATH Keywords

separationpolaritynonlinear dualityradiant setsnormlinear functions

Mathematics Subject Classification ID

Convex sets in topological vector spaces (aspects of convex geometry) (52A07)

Related Items (1)

Nonlinear Cone Separation Theorems in Real Topological Linear Spaces

Cites Work

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• Characterizing sets of lower bounds: a hidden convexity result
• Vector lattices associated with ordered vector spaces
• Some relations between dualities, polarities, coupling functionals, and conjugations
• Duality for radiant and shady programs
• Support cones in Banach spaces and their applications
• Ordered linear spaces
• Introduction to Boolean Algebras
• A Nonlinear Cone Separation Theorem and Scalarization in Nonconvex Vector Optimization
• Embeddings in Vector Lattices
• MINKOWSKI DUALITY AND ITS APPLICATIONS
• Superlinear separation for radiant and coradiant sets
• The Normal Completion of the Lattice of Continuous Functions
• An Embedding Theorem for Spaces of Convex Sets
• Abstract convexity and global optimization
• Differences of convex compact sets in the space of directed sets. I: The space of directed sets

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