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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 356 | Sprache: Englisch | Produktart: Bücher | 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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Aggiungi al carrelloHardcover. Condizione: Brand New. 436 pages. 9.44x6.69x1.02 inches. In Stock.
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Lingua: Inglese
Editore: De Gruyter, De Gruyter Apr 2025, 2025
ISBN 10: 3110671409 ISBN 13: 9783110671407
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 230,00
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 356 pp. Englisch.
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Aggiungi al carrelloBuch. Condizione: Neu. Model Order Reduction, Volume 2, Snapshot-Based Methods and Algorithms | Peter Benner (u. a.) | Buch | VIII | Englisch | 2025 | De Gruyter | EAN 9783110671407 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu Print on Demand.