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A Computational Framework for Boundary-Value Problem Based Simulations

dc.contributor.authorAdomaitis, Raymond A.en_US
dc.contributor.authorLin, Yi-hungen_US
dc.contributor.authorChang, Hsiao-Yungen_US
dc.date.accessioned2007-05-23T10:05:49Z
dc.date.available2007-05-23T10:05:49Z
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/1903/5953
dc.description.abstractA framework is presented for step-by-step implementation of weighted-residualmethods (MWR) for simulations that require the solution ofboundary-value problems. A set of Matlab-based functions ofthe computationally common MWR solution steps has beendeveloped and is used in the application of eigenfunction expansion,collocation, and Galerkin-projection discretizations oftime-dependent, distributed-parameter system models. Fourindustrially relevant examples taken from electronic materialsand chemical processing applications are used to demonstrate thesimulation approach developed.en_US
dc.format.extent509988 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1998-41en_US
dc.subjectchemical process controlen_US
dc.subjectdistillation controlen_US
dc.subjectmathematical modelingen_US
dc.subjectsimulationen_US
dc.subjectdistributed parameter systemsen_US
dc.subjectIntelligent Control Systemsen_US
dc.titleA Computational Framework for Boundary-Value Problem Based Simulationsen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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