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Model Order Reduction
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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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Keywords
- applied mathematics
- Calculus & mathematical analysis
- Mathematical physics
- Mathematics
- Mathematics & science
- Mechanical engineering & materials
- Numerical analysis
- Physics
- Production engineering
- prom
- Technology, engineering, agriculture
- 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
Links
DOI: 10.1515/9783110671490Editions