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Model Order Reduction

ISBN: 978-3-11-067149-0
Editorial: De Gruyter
Licencia: Creative Commons (by-nc-nd)
Autor(es): Benner, Peter; [et al.]

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.
[Berlin: 2020]

1.00 €


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