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dc.contributor.editorBenner, Peter
dc.contributor.editorSchilders, Wil
dc.contributor.editorGrivet-Talocia, Stefano
dc.contributor.editorQuarteroni, Alfio
dc.contributor.editorRozza, Gianluigi
dc.contributor.editorMiguel Silveira, Luís
dc.date.accessioned2021-02-11T17:46:15Z
dc.date.available2021-02-11T17:46:15Z
dc.date.issued2020
dc.identifierONIX_20210211_9783110499001_48
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/46679
dc.description.abstractAn increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
dc.languageEnglish
dc.relation.ispartofseriesModel Order Reduction
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysisen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematicsen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physicsen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineeringen_US
dc.subject.otherComplexity reduction
dc.subject.otherapplications in engineering
dc.subject.otherbiomedical engineering
dc.subject.othercomputational physics
dc.subject.othercomputer science
dc.titleModel Order Reduction
dc.title.alternativeVolume 3 Applications
dc.typebook
oapen.identifier.doi10.1515/9783110499001
oapen.relation.isPublishedBy2b386f62-fc18-4108-bcf1-ade3ed4cf2f3
oapen.series.numberVolume 3
oapen.pages466
oapen.place.publicationBerlin/Boston


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