The book is the proceedings of the 5th International Conference on Computational Engineering (ICCE 2024), Darmstadt, Germany, 30th September to 2nd October, 2024. Computational Engineering is a modern and ultidisciplinary science for computer based modeling, simulation, analysis and optimization of complex engineering applications and natural phenomena. The book contains an overview of selected approaches from numerics and optimization of Partial Differential Equations as well as uncertainty quantification and machine learning techniques, typically in multiphysics environments. Where possible, application cases from engineering are integrated.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is the proceedings of the 5th InternationalConference on Computational Engineering (ICCE 2024), Darmstadt, Germany, 30th September to 2nd October, 2024.Computational Engineering is a modern andultidisciplinary science for computer based modeling, simulation, analysis andoptimization of complex engineering applications and natural phenomena. Thebook contains an overview of selected approaches from numerics and optimizationof Partial Differential Equations as well as uncertainty quantification andmachine learning techniques, typically in multiphysics environments. Wherepossible, application cases from engineering are integrated. 270 pp. Englisch. N° de réf. du vendeur 9783032162526
Quantité disponible : 2 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The book is the proceedings of the 5th InternationalConference on Computational Engineering (ICCE 2024), Darmstadt, Germany, 30th September to 2nd October, 2024.Computational Engineering is a modern andultidisciplinary science for computer based modeling, simulation, analysis andoptimization of complex engineering applications and natural phenomena. Thebook contains an overview of selected approaches from numerics and optimizationof Partial Differential Equations as well as uncertainty quantification andmachine learning techniques, typically in multiphysics environments. Wherepossible, application cases from engineering are integrated. N° de réf. du vendeur 9783032162526
Quantité disponible : 2 disponible(s)