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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/6413
Title: Generalized Kolmogorov Complexity and the Structure of Feasible Computations
Authors: Hartmanis, Juris
Keywords: computer science
technical report
Issue Date: Sep-1983
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR83-573
Abstract: In this paper we define a generalized, two-parameter, Kolmogorov complexity of finite strings which measures how much and how fast a string can be compressed and we show that this string complexity measure is an efficient tool for the study of computational complexity. The advantage of this approach is that it not only classifies strings as random or not random, but measures the amount of randomness detectable in a given time. This permits the study how computations change the amount of randomness of finite strings and thus establish a direct link between computational complexity and generalized Kolmogorov complexity of strings. This approach gives a new viewpoint for computational complexity theory, yields natural formulations of new problems and yields new results about the structure of feasible computations.
URI: http://hdl.handle.net/1813/6413
Appears in Collections:Computer Science Technical Reports
Hartmanis, Juris

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