Detection And Approximation Of Function Of Two Variables In High Dimensions

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Title: Detection And Approximation Of Function Of Two Variables In High Dimensions
Authors: Pan, Minzhe
Committee Members: Li, Xin
Summary: This thesis originates from the deterministic algorithm of DeVore, Petrova, and Wojtaszcsyk for the detection and approximation of functions of one variable in high dimensions. We propose a deterministic algorithm for the detection and approximation of function of two variables in high dimensions.
URL: https://stars.library.ucf.edu/etd/1655
Database: OpenDissertations
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Header DbId: ddu
DbLabel: OpenDissertations
An: ddu.oai.stars.library.ucf.edu.etd.2654
AccessLevel: 6
PubType: Dissertation/ Thesis
PubTypeId: dissertation
PreciseRelevancyScore: 0
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  Data: Detection And Approximation Of Function Of Two Variables In High Dimensions
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  Data: This thesis originates from the deterministic algorithm of DeVore, Petrova, and Wojtaszcsyk for the detection and approximation of functions of one variable in high dimensions. We propose a deterministic algorithm for the detection and approximation of function of two variables in high dimensions.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Approximation theory
        Type: general
      – SubjectFull: Functions
        Type: general
      – SubjectFull: Variables (Mathematics)
        Type: general
      – SubjectFull: Mathematics
        Type: general
      – SubjectFull: Dissertations, Academic -- Sciences, Sciences -- Dissertations, Academic
        Type: general
    Titles:
      – TitleFull: Detection And Approximation Of Function Of Two Variables In High Dimensions
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Pan, Minzhe
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2010
ResultId 1