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Two Applications of PDEs in Data Science.
Two Applications of PDEs in Data Science.
Two Applications of PDEs in Data Science.

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Material Type  
 학위논문
 
0016616686
Date and Time of Latest Transaction  
20230206104724
ISBN  
9798837535437
DDC  
510
Author  
Cook, Brendan.
Title/Author  
Two Applications of PDEs in Data Science.
Publish Info  
[S.l.] : University of Minnesota., 2022
Publish Info  
Ann Arbor : ProQuest Dissertations & Theses, 2022
Material Info  
106 p.
General Note  
Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
General Note  
Advisor: Calder, Jeff.
학위논문주기  
Thesis (Ph.D.)--University of Minnesota, 2022.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Mathematics.
Subject Added Entry-Topical Term  
Computer science.
Subject Added Entry-Topical Term  
Applied mathematics.
Subject Added Entry-Topical Term  
Information science.
Index Term-Uncontrolled  
Partial differential equations
Index Term-Uncontrolled  
Applications to data science
Index Term-Uncontrolled  
Machine learning algorithm
Index Term-Uncontrolled  
Convergence rate
Index Term-Uncontrolled  
Nondominated sorting process
Index Term-Uncontrolled  
Continuum limit
Added Entry-Corporate Name  
University of Minnesota Mathematics
Host Item Entry  
Dissertations Abstracts International. 84-01B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
소장사항  
202302 2023
Control Number  
joongbu:622744

MARC

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■24510▼aTwo  Applications  of  PDEs  in  Data  Science.
■260    ▼a[S.l.]▼bUniversity  of  Minnesota.  ▼c2022
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2022
■300    ▼a106  p.
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  84-01,  Section:  B.
■500    ▼aAdvisor:  Calder,  Jeff.
■5021  ▼aThesis  (Ph.D.)--University  of  Minnesota,  2022.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0130.
■650  4▼aMathematics.
■650  4▼aComputer  science.
■650  4▼aApplied  mathematics.
■650  4▼aInformation  science.
■653    ▼aPartial  differential  equations
■653    ▼aApplications  to  data  science
■653    ▼aMachine  learning  algorithm
■653    ▼aConvergence  rate
■653    ▼aNondominated  sorting  process
■653    ▼aContinuum  limit
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■690    ▼a0984
■690    ▼a0723
■690    ▼a0364
■71020▼aUniversity  of  Minnesota▼bMathematics.
■7730  ▼tDissertations  Abstracts  International▼g84-01B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0130
■791    ▼aPh.D.
■792    ▼a2022
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16616686▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202302▼f2023

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