Measuring complexity with zippers

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dc.creatorBaronchelli, Andrea
dc.creatorCaglioti, Emanuele
dc.creatorLoreto, Vittorio
dc.date2006-05-03
dc.date.accessioned2026-07-07T07:14:54Z
dc.date.available2026-07-07T07:14:54Z
dc.descriptionPhysics concepts have often been borrowed and independently developed by other fields of science. In this perspective a significant example is that of entropy in Information Theory. The aim of this paper is to provide a short and pedagogical introduction to the use of data compression techniques for the estimate of entropy and other relevant quantities in Information Theory and Algorithmic Information Theory. We consider in particular the LZ77 algorithm as case study and discuss how a zipper can be used for information extraction.
dc.description10 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/physics/0605031
dc.identifierhttp://arxiv.org/abs/physics/0605031
dc.identifierEur. J. Phys. 26 (2005) S69-S77
dc.identifierdoi:10.1088/0143-0807/26/5/S08
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/113069
dc.subjectPhysics Education
dc.subjectComputational Physics
dc.titleMeasuring complexity with zippers
dc.typetext

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