Conference paper
Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
A universal data compression algorithm is described which is capable of compressing long strings generated by a “finitely generated” source, with a near optimum per symbol length without prior knowledge of the source. This class of sources may be viewed as a generalization of Markov sources to random fields. Moreover, the algorithm does not require a working storage much larger than that needed to describe the source generating parameters. © 1983 IEEE
Hendrik F. Hamann
InterPACK 2013
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Theoretical Computer Science
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Photomask and Next-Generation Lithography Mask Technology 2004