Algorithmic Randomness : Progress and Prospects

Saved in:
Bibliographic Details
Title: Algorithmic Randomness : Progress and Prospects
Description: The last two decades have seen a wave of exciting new developments in the theory of algorithmic randomness and its applications to other areas of mathematics. This volume surveys much of the recent work that has not been included in published volumes until now. It contains a range of articles on algorithmic randomness and its interactions with closely related topics such as computability theory and computational complexity, as well as wider applications in areas of mathematics including analysis, probability, and ergodic theory. In addition to being an indispensable reference for researchers in algorithmic randomness, the unified view of the theory presented here makes this an excellent entry point for graduate students and other newcomers to the field.
Authors: Johanna N. Y. Franklin, Christopher P. Porter
Resource Type: eBook.
Subjects: Computational complexity
Categories: MATHEMATICS / Logic
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2986241
RelevancyScore: 1097
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1096.64697265625
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2986241$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2986241$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Algorithmic Randomness : Progress and Prospects
– Name: Abstract
  Label: Description
  Group: Ab
  Data: The last two decades have seen a wave of exciting new developments in the theory of algorithmic randomness and its applications to other areas of mathematics. This volume surveys much of the recent work that has not been included in published volumes until now. It contains a range of articles on algorithmic randomness and its interactions with closely related topics such as computability theory and computational complexity, as well as wider applications in areas of mathematics including analysis, probability, and ergodic theory. In addition to being an indispensable reference for researchers in algorithmic randomness, the unified view of the theory presented here makes this an excellent entry point for graduate students and other newcomers to the field.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Johanna+N%2E+Y%2E+Franklin%22">Johanna N. Y. Franklin</searchLink><br /><searchLink fieldCode="AR" term="%22Christopher+P%2E+Porter%22">Christopher P. Porter</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Logic%22">MATHEMATICS / Logic</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=2986241
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 511.3
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computational complexity
        Type: general
    Titles:
      – TitleFull: Algorithmic Randomness : Progress and Prospects
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Johanna N. Y. Franklin
      – PersonEntity:
          Name:
            NameFull: Christopher P. Porter
      – PersonEntity:
          Name:
            NameFull: Johanna N. Y. Franklin
      – PersonEntity:
          Name:
            NameFull: Christopher P. Porter
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 29
              M: 09
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781108478984
            – Type: isbn-electronic
              Value: 9781108808279
          Titles:
            – TitleFull: Algorithmic Randomness : Progress and Prospects
              Type: main
ResultId 1