Complexity of Integer Programming in Reverse Convex Sets via Boundary Hyperplane Cover

Fuente: arXiv
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Auteurs principaux: Hildebrand, Robert, Göß, Adrian
Format: Preprint
Publié: 2024
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author Hildebrand, Robert
Göß, Adrian
author_facet Hildebrand, Robert
Göß, Adrian
contents We study the complexity of identifying the integer feasibility of reverse convex sets. We present various settings where the complexity can be either NP-Hard or efficiently solvable when the dimension is fixed. Of particular interest is the case of bounded reverse convex constraints with a polyhedral domain. We introduce a structure, \emph{Boundary Hyperplane Cover}, that permits this problem to be solved in polynomial time in fixed dimension provided the number of nonlinear reverse convex sets is fixed.
format Preprint
id arxiv_https___arxiv_org_abs_2409_05308
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Complexity of Integer Programming in Reverse Convex Sets via Boundary Hyperplane Cover
Hildebrand, Robert
Göß, Adrian
Optimization and Control
We study the complexity of identifying the integer feasibility of reverse convex sets. We present various settings where the complexity can be either NP-Hard or efficiently solvable when the dimension is fixed. Of particular interest is the case of bounded reverse convex constraints with a polyhedral domain. We introduce a structure, \emph{Boundary Hyperplane Cover}, that permits this problem to be solved in polynomial time in fixed dimension provided the number of nonlinear reverse convex sets is fixed.
title Complexity of Integer Programming in Reverse Convex Sets via Boundary Hyperplane Cover
topic Optimization and Control
url https://arxiv.org/abs/2409.05308