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Methods for Scientific Simulation, Machine Learning, and Nonlinear Control.
Methods for Scientific Simulation, Machine Learning, and Nonlinear Control.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016052223
- International Standard Book Number
- 9798534673630
- Dewey Decimal Classification Number
- 519
- Main Entry-Personal Name
- Boffi, Nicholas M.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Harvard University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 315 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- General Note
- Advisor: Rycroft, C.;Slotine, J.
- Dissertation Note
- Thesis (Ph.D.)--Harvard University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Applied mathematics.
- Subject Added Entry-Topical Term
- Engineering.
- Subject Added Entry-Topical Term
- Systems science.
- Subject Added Entry-Topical Term
- Simulation.
- Subject Added Entry-Topical Term
- Velocity.
- Subject Added Entry-Topical Term
- Experiments.
- Subject Added Entry-Topical Term
- Generalized linear models.
- Subject Added Entry-Topical Term
- Optimization.
- Subject Added Entry-Topical Term
- Adaptation.
- Subject Added Entry-Topical Term
- Algorithms.
- Subject Added Entry-Topical Term
- Boundary conditions.
- Subject Added Entry-Topical Term
- Friction welding.
- Index Term-Uncontrolled
- Computational mathematics
- Index Term-Uncontrolled
- Control theory
- Index Term-Uncontrolled
- Dynamical systems
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Optimization
- Index Term-Uncontrolled
- Scientific computing
- Added Entry-Corporate Name
- Harvard University Engineering and Applied Sciences - Applied Math
- Host Item Entry
- Dissertations Abstracts International. 83-02B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:611817
MARC
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■020 ▼a9798534673630
■035 ▼a(MiAaPQ)AAI28499365
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a519
■1001 ▼aBoffi, Nicholas M.▼0(orcid)0000-0003-1336-7568
■24510▼aMethods for Scientific Simulation, Machine Learning, and Nonlinear Control.
■260 ▼a[S.l.]▼bHarvard University. ▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a315 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Rycroft, C.;Slotine, J.
■5021 ▼aThesis (Ph.D.)--Harvard University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0084.
■650 4▼aApplied mathematics.
■650 4▼aEngineering.
■650 4▼aSystems science.
■650 4▼aSimulation.
■650 4▼aVelocity.
■650 4▼aExperiments.
■650 4▼aGeneralized linear models.
■650 4▼aOptimization.
■650 4▼aAdaptation.
■650 4▼aAlgorithms.
■650 4▼aBoundary conditions.
■650 4▼aFriction welding.
■653 ▼aComputational mathematics
■653 ▼aControl theory
■653 ▼aDynamical systems
■653 ▼aMachine learning
■653 ▼aOptimization
■653 ▼aScientific computing
■690 ▼a0364
■690 ▼a0537
■690 ▼a0790
■71020▼aHarvard University▼bEngineering and Applied Sciences - Applied Math.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0084
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052223▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
