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  Improved Lower Bounds for Online Hypercube Packing

Heydrich, S., & van Stee, R. (2016). Improved Lower Bounds for Online Hypercube Packing. Retrieved from http://arxiv.org/abs/1607.01229.

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arXiv:1607.01229.pdf (Preprint), 257KB
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 Creators:
Heydrich, Sandy1, Author           
van Stee, Rob2, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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Free keywords: Computer Science, Data Structures and Algorithms, cs.DS
 Abstract: Packing a given sequence of items into as few bins as possible in an online fashion is a widely studied problem. We improve lower bounds for packing hypercubes into bins in two or more dimensions, once for general algorithms (in two dimensions) and once for an important subclass, so-called Harmonic-type algorithms (in two or more dimensions). Lastly, we show that two adaptions of the ideas from the best known one-dimensional packing algorithm to square packing also do not help to break the barrier of 2.

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Language(s): eng - English
 Dates: 2016-07-052016
 Publication Status: Published online
 Pages: 19 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 1607.01229
URI: http://arxiv.org/abs/1607.01229
BibTex Citekey: HeydrichS16
 Degree: -

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