Nonlinear Cone Separation Theorems in Real Topological Linear Spaces
Author:
Affiliation:
1. Institut für Angewandte Mathematik, Leibniz Universität Hannover, 30167 Hannover, Germany.
2. Faculty of Natural Sciences II, Institute of Mathematics, Martin Luther University Halle-Wittenberg, 06099 Halle (Saale), Germany.
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software,Applied Mathematics
Reference65 articles.
1. A polyhedral conic functions based classification method for noisy data
2. Proper Efficiency in Vector Optimization on Real Linear Spaces
3. A novel piecewise linear classifier based on polyhedral conic and max–min separabilities
4. The support functionals of a convex set
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