Evolving Categories: Consistent Framework for Representation of Data and Algorithms

dc.creatorYanenko, Evgeny
dc.date2004-12-17
dc.date.accessioned2026-07-07T03:22:17Z
dc.date.available2026-07-07T03:22:17Z
dc.descriptionA concept of "evolving categories" is suggested to build a simple, scalable, mathematically consistent framework for representing in uniform way both data and algorithms. A state machine for executing algorithms becomes clear, rich and powerful semantics, based on category theory, and still allows easy implementation. Moreover, it gives an original insight into the nature and semantics of algorithms.
dc.description10 pages, 20 pictures
dc.identifierhttps://arxiv.org/abs/cs/0412089
dc.identifierhttp://arxiv.org/abs/cs/0412089
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32532
dc.subjectData Structures and Algorithms
dc.subjectE.1; F.1.1; F.4.1; I.1.1
dc.titleEvolving Categories: Consistent Framework for Representation of Data and Algorithms
dc.typetext

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