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dc.contributor.author
Becher, Veronica Andrea  
dc.contributor.author
Heiber, Pablo Ariel  
dc.date.available
2023-03-17T09:57:10Z  
dc.date.issued
2012-01  
dc.identifier.citation
Becher, Veronica Andrea; Heiber, Pablo Ariel; A linearly computable measure of string complexity; Elsevier Science; Theoretical Computer Science; 438; 1-2012; 62-73  
dc.identifier.issn
0304-3975  
dc.identifier.uri
http://hdl.handle.net/11336/190842  
dc.description.abstract
We present a measure of string complexity, called I-complexity, computable in linear time and space. It counts the number of different substrings in a given string. The least complex strings are the runs of a single symbol, the most complex are the de Bruijn strings. Although the I-complexity of a string is not the length of any minimal description of the string, it satisfies many basic properties of classical description complexity. In particular, the number of strings with I-complexity up to a given value is bounded, and most strings of each length have high I-complexity.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
KOLMOGOROV COMPLEXITY  
dc.subject
STRINGOLOGY  
dc.subject
DE BRUIJN STRINGS  
dc.subject
COMBINATORIAL PROPERTIES OF STRINGS  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
A linearly computable measure of string complexity  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-03-09T14:38:55Z  
dc.journal.volume
438  
dc.journal.pagination
62-73  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Becher, Veronica Andrea. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Heiber, Pablo Ariel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Theoretical Computer Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.tcs.2012.03.007  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304397512002277