| Approximation schemes for multidimensional packing |
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Symposium on Discrete Algorithms
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Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
table of contents
New Orleans, Louisiana
SESSION: Session 3B
table of contents
Pages: 186 - 195
Year of Publication: 2004
ISBN:0-89871-558-X
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Authors
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José R. Correa
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Massachusetts Institute of Technology, Cambridge, MA
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Claire Kenyon
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Laboratoire d'Informatique, Ecole Polytechnique, Palaiseau
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Society for Industrial and Applied Mathematics
Philadelphia, PA, USA
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Downloads (6 Weeks): 3, Downloads (12 Months): 58, Citation Count: 6
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ABSTRACT
We consider a classic multidimensional generalization of the bin packing problem, namely, packing d-dimensional rectangles into the minimum number of unit cubes. Our two results are: an asymptotic polynomial time approximation scheme for packing d-dimensional cubes into the minimum number of unit cubes and a polynomial time algorithm for packing rectangles into at most OPT bins whose sides have length (1 + ε), where OPT denotes the minimum number of unit bins required to pack the rectangles. Both algorithms also achieve the best possible additive constant term. For cubes, this settles the approximability of the problem and represents a significant improvement over the previous best known asymptotic approximation factor of 2 - (2/3)d + ε. For rectangles, this contrasts with the currently best known approximation factor of 1.691....
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 6
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Aleksei V. Fishkin , Olga Gerber , Klaus Jansen , Roberto Solis-Oba, On packing squares with resource augmentation: maximizing the profit, Proceedings of the 2005 Australasian symposium on Theory of computing, p.61-67, January 01, 2005, Newcastle, Australia
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