Weeger oliver (3 Ergebnisse)

hardcover. Zustand: Very Good. Cover and edges may have some wear.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics in deep learning for simulation are explored. These include surrogate modeling, physics-informed neural networks, generative artificial intelligence, Hamiltonian/Lagrangian neural networks, input convex neural networks, and more general machine learning techniques.The idea of the book is to provide basic concepts as simple as possible but in a mathematically sound manner. Starting point are one-dimensional examples including elasticity, plasticity, heat evolution, or wave propagation. The concepts are then expanded to state-of-the-art applications in material modeling, generative artificial intelligence, topology optimization, defect detection, and inverse problems.…

Buch. Zustand: 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.…