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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=176508"><dc:title>Packing $d$-dimensional balls into a $d + 1$-dimensional container</dc:title><dc:creator>Alt,	Helmut	(Avtor)
	</dc:creator><dc:creator>Cabello,	Sergio	(Avtor)
	</dc:creator><dc:creator>Cheong,	Otfried	(Avtor)
	</dc:creator><dc:creator>Park,	Ji-won	(Avtor)
	</dc:creator><dc:creator>Seiferth,	Nadja	(Avtor)
	</dc:creator><dc:subject>packings</dc:subject><dc:subject>translations</dc:subject><dc:subject>unit disks</dc:subject><dc:subject>unit balls</dc:subject><dc:subject>volume</dc:subject><dc:description>In this article, we consider the problems of finding in $d + 1$ dimensions a minimum-volume axis-parallel box, a minimum-volume arbitrarily-oriented box and a minimum-volume convex body into which a given set of $d$-dimensional unit-radius balls can be packed under translations. The computational problem is neither known to be NP-hard nor to be in NP. We give a constant-factor approximation algorithm for each of these containers based on a reduction to finding a shortest Hamiltonian path in a weighted graph, which in turn models the problem of stabbing the centers of the input balls while keeping them disjoint. We also show that for $n$ such balls, a container of volume $O(n^{d−1 \over d})$ is always sufficient and sometimes necessary. As a byproduct, this implies that for $d \ge 2$ there is no finite size $(d + 1)$-dimensional convex body into which all $d$-dimensional unit-radius balls can be packed simultaneously.</dc:description><dc:date>2026</dc:date><dc:date>2025-12-02 14:59:05</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>176508</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
