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Main Authors: Goodwin, Ariel, Lewis, Adrian S., Lopez-Acedo, Genaro, Nicolae, Adriana
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.01968
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author Goodwin, Ariel
Lewis, Adrian S.
Lopez-Acedo, Genaro
Nicolae, Adriana
author_facet Goodwin, Ariel
Lewis, Adrian S.
Lopez-Acedo, Genaro
Nicolae, Adriana
contents We consider geodesically convex optimization problems involving distances to a finite set of points $A$ in a CAT(0) cubical complex. Examples include the minimum enclosing ball problem, the weighted mean and median problems, and the feasibility and projection problems for intersecting balls with centers in $A$. We propose a decomposition approach relying on standard Euclidean cutting plane algorithms. The cutting planes are readily derivable from efficient algorithms for computing geodesics in the complex.
format Preprint
id arxiv_https___arxiv_org_abs_2405_01968
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Convex optimization on CAT(0) cubical complexes
Goodwin, Ariel
Lewis, Adrian S.
Lopez-Acedo, Genaro
Nicolae, Adriana
Optimization and Control
90C48, 52A41, 57Z25, 65K05
F.2.1
We consider geodesically convex optimization problems involving distances to a finite set of points $A$ in a CAT(0) cubical complex. Examples include the minimum enclosing ball problem, the weighted mean and median problems, and the feasibility and projection problems for intersecting balls with centers in $A$. We propose a decomposition approach relying on standard Euclidean cutting plane algorithms. The cutting planes are readily derivable from efficient algorithms for computing geodesics in the complex.
title Convex optimization on CAT(0) cubical complexes
topic Optimization and Control
90C48, 52A41, 57Z25, 65K05
F.2.1
url https://arxiv.org/abs/2405.01968