A linearly computable measure of string complexity
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 s...
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paper:paper_03043975_v438_n_p62_Becher2023-06-08T15:29:38Z A linearly computable measure of string complexity Becher, Verónica Andrea Heiber, Pablo Ariel Basic properties Computable measures De Bruijn Description complexity Linear time String complexity Sub-strings Computer science 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. © 2012 Elsevier B.V. All rights reserved. Fil:Becher, V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Heiber, P.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03043975_v438_n_p62_Becher http://hdl.handle.net/20.500.12110/paper_03043975_v438_n_p62_Becher |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Basic properties Computable measures De Bruijn Description complexity Linear time String complexity Sub-strings Computer science |
spellingShingle |
Basic properties Computable measures De Bruijn Description complexity Linear time String complexity Sub-strings Computer science Becher, Verónica Andrea Heiber, Pablo Ariel A linearly computable measure of string complexity |
topic_facet |
Basic properties Computable measures De Bruijn Description complexity Linear time String complexity Sub-strings Computer science |
description |
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. © 2012 Elsevier B.V. All rights reserved. |
author |
Becher, Verónica Andrea Heiber, Pablo Ariel |
author_facet |
Becher, Verónica Andrea Heiber, Pablo Ariel |
author_sort |
Becher, Verónica Andrea |
title |
A linearly computable measure of string complexity |
title_short |
A linearly computable measure of string complexity |
title_full |
A linearly computable measure of string complexity |
title_fullStr |
A linearly computable measure of string complexity |
title_full_unstemmed |
A linearly computable measure of string complexity |
title_sort |
linearly computable measure of string complexity |
publishDate |
2012 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03043975_v438_n_p62_Becher http://hdl.handle.net/20.500.12110/paper_03043975_v438_n_p62_Becher |
work_keys_str_mv |
AT becherveronicaandrea alinearlycomputablemeasureofstringcomplexity AT heiberpabloariel alinearlycomputablemeasureofstringcomplexity AT becherveronicaandrea linearlycomputablemeasureofstringcomplexity AT heiberpabloariel linearlycomputablemeasureofstringcomplexity |
_version_ |
1768544819757449216 |