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Model Order Reduction

An 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 two-volume handbook covers methods as well as applications. This second volume focuses on app...

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Saved in:
格式: Online
語言:英语
出版: De Gruyter 2021
主題:
Applied mathematics
PROM
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering
在線閱讀:ONIX_20210211_9783110671490_65
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總結:An 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 two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

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