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Methods for Scientific Simulation, Machine Learning, and Nonlinear Control
Methods for Scientific Simulation, Machine Learning, and Nonlinear Control
Methods for Scientific Simulation, Machine Learning, and Nonlinear Control

Detailed Information

자료유형  
 학위논문파일 국외
ISBN  
9798534673630
DDC  
519
저자명  
Boffi, Nicholas M.
서명/저자  
Methods for Scientific Simulation, Machine Learning, and Nonlinear Control
발행사항  
[Sl] : Harvard University, 2021
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2021
형태사항  
315 p
주기사항  
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
주기사항  
Advisor: Rycroft, C.;Slotine, J.
학위논문주기  
Thesis (Ph.D.)--Harvard University, 2021.
사용제한주기  
This item must not be sold to any third party vendors.
일반주제명  
Applied mathematics
일반주제명  
Engineering
일반주제명  
Systems science
일반주제명  
Simulation
일반주제명  
Velocity
일반주제명  
Experiments
일반주제명  
Generalized linear models
일반주제명  
Optimization
일반주제명  
Adaptation
일반주제명  
Algorithms
일반주제명  
Boundary conditions
일반주제명  
Friction welding
키워드  
Computational mathematics
키워드  
Control theory
키워드  
Dynamical systems
키워드  
Machine learning
키워드  
Optimization
키워드  
Scientific computing
기타저자  
Harvard University Engineering and Applied Sciences - Applied Math
기본자료저록  
Dissertations Abstracts International. 83-02B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■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[Sl]▼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

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