About: Peter Gacs     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : wikidata:Q901, within Data Space : dbpedia.org associated with source document(s)
QRcode icon
http://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FPeter_Gacs

Péter Gács (Hungarian pronunciation: ['pe:ter 'ga:tʃ]; born May 9, 1947), professionally also known as Peter Gacs, is a Hungarian-American mathematician and computer scientist, professor, and an external member of the Hungarian Academy of Sciences. He is well known for his work in reliable computation, randomness in computing, algorithmic complexity, algorithmic probability, and information theory.

AttributesValues
rdf:type
rdfs:label
  • Péter Gács (eo)
  • Peter Gacs (en)
rdfs:comment
  • Péter GÁCS [gAĉ], laŭ hungarlingve kutima nomordo Gács Péter estas hungara-usonana matematikisto, profesoro, membro (ekstera (2013)) de Hungara Scienca Akademio. Lia uzata nomo estas en Usono Peter Gacs. Péter Gács [1] Arkivigite je 2016-08-19 per la retarkivo Wayback Machine naskiĝis en Budapeŝto la 9-an de majo 1947. (eo)
  • Péter Gács (Hungarian pronunciation: ['pe:ter 'ga:tʃ]; born May 9, 1947), professionally also known as Peter Gacs, is a Hungarian-American mathematician and computer scientist, professor, and an external member of the Hungarian Academy of Sciences. He is well known for his work in reliable computation, randomness in computing, algorithmic complexity, algorithmic probability, and information theory. (en)
foaf:name
  • Peter Gacs (en)
name
  • Peter Gacs (en)
birth place
birth place
  • Budapest, Hungary (en)
birth date
dcterms:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
sameAs
workplaces
dbp:wikiPageUsesTemplate
alma mater
birth date
citizenship
  • Hungary, United States (en)
fields
  • probability, complexity theory, information theory, cellular automata (en)
known for
  • reliable cellular automata, GKL rule, Kolmogorov complexity (en)
Faceted Search & Find service v1.17_git139 as of Feb 29 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (62 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software