Data Based Surrogate Modeling Paradigms for Large Scale Dynamical Systems

dc.contributor.guideShahkar Ahmad Nahvi and Mohammad Abid Bazaz
dc.coverage.spatialData Based Surrogate Modeling Paradigms for Large Scale Dynamical Systems
dc.creator.researcherBhat, Asif Hamid
dc.date.accessioned2024-12-18T12:08:17Z
dc.date.available2024-12-18T12:08:17Z
dc.date.awarded2024
dc.date.completed2024
dc.date.registered2019
dc.description.abstractnewline
dc.description.noteIncludes Bibliographical Reference and Fiqures
dc.format.accompanyingmaterialDVD
dc.format.dimensions30
dc.format.extentxi, 124
dc.identifier.urihttp://hdl.handle.net/10603/607908
dc.languageEnglish
dc.publisher.institutionDepartment of Electrical Engineering
dc.publisher.placePulwama
dc.publisher.universityIslamic University of Science and Technology
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordDifferentiable dynamical systems
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordFlows (Differentiable dynamical systems)
dc.subject.keywordMathematical optimization
dc.subject.keywordSurrogate-based optimization
dc.titleData Based Surrogate Modeling Paradigms for Large Scale Dynamical Systems
dc.title.alternative
dc.type.degreePh.D.

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