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Approximation schemes for multidimensional packing
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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
Authors
José R. Correa  Massachusetts Institute of Technology, Cambridge, MA
Claire Kenyon  Laboratoire d'Informatique, Ecole Polytechnique, Palaiseau
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 54,   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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Collaborative Colleagues:
José R. Correa: colleagues
Claire Kenyon: colleagues