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Two Applications of PDEs in Data Science.
Two Applications of PDEs in Data Science.
- 자료유형
- 학위논문
- Control Number
- 0016616686
- International Standard Book Number
- 9798837535437
- Dewey Decimal Classification Number
- 510
- Main Entry-Personal Name
- Cook, Brendan.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of Minnesota., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 106 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
- General Note
- Advisor: Calder, Jeff.
- Dissertation Note
- 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.
- Control Number
- joongbu:622744