About: X + Y sorting     Goto   Sponge   NotDistinct   Permalink

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

Unsolved problem in computer science: Is there an sorting algorithm faster than ? (more unsolved problems in computer science) In computer science, sorting is the problem of sorting pairs of numbers by their sums. Applications of the problem include transit fare minimisation, VLSI design, and sparse polynomial multiplication. As with comparison sorting and integer sorting more generally, algorithms for this problem can be based only on comparisons of these sums, or on other operations that work only when the inputs are small integers.

AttributesValues
rdfs:label
  • Ordenação X + Y (pt)
  • X + Y sorting (en)
rdfs:comment
  • Unsolved problem in computer science: Is there an sorting algorithm faster than ? (more unsolved problems in computer science) In computer science, sorting is the problem of sorting pairs of numbers by their sums. Applications of the problem include transit fare minimisation, VLSI design, and sparse polynomial multiplication. As with comparison sorting and integer sorting more generally, algorithms for this problem can be based only on comparisons of these sums, or on other operations that work only when the inputs are small integers. (en)
  • Em ciência da computação, ordenação X + Y é o problema de ordenação de pares de números por sua soma. Dados dois conjuntos finitos X e Y, o problema é ordenar todos os pares x ∈ X, y ∈ Y pela chave x + y. O problema é atribuído a Elwyn Berlekamp. (pt)
foaf:depiction
  • http://commons.wikimedia.org/wiki/Special:FilePath/X+Y_sorting.svg
dcterms:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
sameAs
dbp:wikiPageUsesTemplate
thumbnail
has abstract
  • Unsolved problem in computer science: Is there an sorting algorithm faster than ? (more unsolved problems in computer science) In computer science, sorting is the problem of sorting pairs of numbers by their sums. Applications of the problem include transit fare minimisation, VLSI design, and sparse polynomial multiplication. As with comparison sorting and integer sorting more generally, algorithms for this problem can be based only on comparisons of these sums, or on other operations that work only when the inputs are small integers. It is unknown whether this problem has a comparison-based solution whose running time is asymptotically faster than sorting an unstructured list of equally many items. Therefore, research on the problem has focused on two approaches to settle the question of whether such an improvement is possible: the development of algorithms that improve on unstructured sorting in their number of comparisons rather than in their total running time, and lower bounds for the number of comparisons based on counting cells in subdivisions of high-dimensional spaces. Both approaches are historically tied together, in that the first algorithms that used few comparisons were based on the weakness of the cell-counting lower bounds. (en)
  • Em ciência da computação, ordenação X + Y é o problema de ordenação de pares de números por sua soma. Dados dois conjuntos finitos X e Y, o problema é ordenar todos os pares x ∈ X, y ∈ Y pela chave x + y. O problema é atribuído a Elwyn Berlekamp. O problema pode ser resolvido usando ordenação por comparação em tempo O(nm log(nm)) para conjuntos de tamanhos n e m, ou O(n² log n²) = O(n² log n) quando é assumido que m = n. Este é também o melhor limite conhecido para o problema, mas se a ordenação X + Y pode ser feita estritamente mais rápida que a ordenação de números arbitrários n×m é um problema aberto. (pt)
prov:wasDerivedFrom
page length (characters) of wiki page
foaf:isPrimaryTopicOf
is Link from a Wikipage to another Wikipage of
is Wikipage redirect of
is foaf:primaryTopic of
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 (61 GB total memory, 42 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software