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Theoretical Computer Science
Volume 297, Issues 1-3, 17 March 2003, Pages 355-366
Latin American Theoretical Informatics
 
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doi:10.1016/S0304-3975(02)00647-3    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2002 Elsevier Science B.V. All rights reserved.

Cube packing*1

F. K. MiyazawaE-mail The Corresponding Author, a and Y. WakabayashiCorresponding Author Contact Information, E-mail The Corresponding Author, b

a Instituto de Computação, Universidade Estadual de Campinas, Caixa Postal 6176, 13084-971, Campinas-SP, Brazil b Instituto de Matemática e Estatística, Universidade de São Paulo Rua do Matão, 1010, 05508-900, São Paulo-SP, Brazil

Available online 8 February 2003.

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Abstract

The Cube Packing Problem (CPP) is defined as follows. Find a packing of a given list of (small) cubes into a minimum number of (larger) identical cubes. We show first that the approach introduced by Coppersmith and Raghavan for general on-line algorithms for packing problems leads to an on-line algorithm for CPP with asymptotic performance bound 3.954. Then we describe two other off-line approximation algorithms for CPP: one with asymptotic performance bound 3.466 and the other with 2.669. A parametric version of this problem is defined and results on on-line and off-line algorithms are presented. The 2.669 result appears to be the best asymptotic bound currently known.

Author Keywords: Approximation algorithms; Cube packing; Asymptotic performance


Theoretical Computer Science
Volume 297, Issues 1-3, 17 March 2003, Pages 355-366
Latin American Theoretical Informatics
 
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