Sequence spaces and asymmetric norms in the theory of computational complexity

Saved in:
Bibliographic Details
Title: Sequence spaces and asymmetric norms in the theory of computational complexity
Authors: García-Raffi, L.M.1, Romaguera, S., Sánchez-Pérez, E.A.1
Source: Mathematical & Computer Modelling. Jul2002, Vol. 36 Issue 1/2, p1. 11p.
Subjects: Computational complexity, Sequence spaces
Abstract: In 1995, Schellekens introduced the complexity (quasi-metric) space as a part of the development of a topological foundation for the complexity analysis of algorithms. Recently, Romaguera and Schellekens have obtained several quasi-metric properties of the complexity space which are interesting from a computational point of view, via the analysis of the so-called dual complexity space.Here, we extend the notion of the dual complexity space to the p-dual case, with p > 1, in order to include some other kinds of exponential time algorithms in this study. We show that the dual p-complexity space is isometrically isomorphic to the positive cone of lp endowed with the asymmetric norm &z.sfnc;.&z.sfnc;+p given on lp by &z.sfnc;x&z.sfnc;+p = [∑n=0∞((xn V0)p)]1/p, where x ≔ (xn)n∊ω. We also obtain some results on completeness and compactness of these spaces. [Copyright &y& Elsevier]
Copyright of Mathematical & Computer Modelling is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 7916821
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Sequence spaces and asymmetric norms in the theory of computational complexity
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22García-Raffi%2C+L%2EM%2E%22">García-Raffi, L.M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Romaguera%2C+S%2E%22">Romaguera, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Sánchez-Pérez%2C+E%2EA%2E%22">Sánchez-Pérez, E.A.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Mathematical+%26+Computer+Modelling%22">Mathematical & Computer Modelling</searchLink>. Jul2002, Vol. 36 Issue 1/2, p1. 11p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Sequence+spaces%22">Sequence spaces</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In 1995, Schellekens introduced the complexity (quasi-metric) space as a part of the development of a topological foundation for the complexity analysis of algorithms. Recently, Romaguera and Schellekens have obtained several quasi-metric properties of the complexity space which are interesting from a computational point of view, via the analysis of the so-called dual complexity space.Here, we extend the notion of the dual complexity space to the p-dual case, with p > 1, in order to include some other kinds of exponential time algorithms in this study. We show that the dual p-complexity space is isometrically isomorphic to the positive cone of lp endowed with the asymmetric norm &z.sfnc;.&z.sfnc;+p given on lp by &z.sfnc;<B>x</B>&z.sfnc;+p = [∑n=0∞((xn V0)p)]1/p, where <B>x</B> ≔ (xn)n∊ω. We also obtain some results on completeness and compactness of these spaces. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Mathematical & Computer Modelling is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=7916821
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/S0895-7177(02)00100-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Computational complexity
        Type: general
      – SubjectFull: Sequence spaces
        Type: general
    Titles:
      – TitleFull: Sequence spaces and asymmetric norms in the theory of computational complexity
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: García-Raffi, L.M.
      – PersonEntity:
          Name:
            NameFull: Romaguera, S.
      – PersonEntity:
          Name:
            NameFull: Sánchez-Pérez, E.A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2002
              Type: published
              Y: 2002
          Identifiers:
            – Type: issn-print
              Value: 08957177
          Numbering:
            – Type: volume
              Value: 36
            – Type: issue
              Value: 1/2
          Titles:
            – TitleFull: Mathematical & Computer Modelling
              Type: main
ResultId 1