Model Reduction of Parametrized Systems, Peter Benner; Mario Ohlberger; Anthony Patera; Gia

Автор: Benner, Peter.
Название: Model reduction of parametrized systems /
ISBN: 3319587854 ISBN-13(EAN): 9783319587851
Издательство: Springer
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Цена: 111790.00 T
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The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled problems/multiphysics, optimization and optimal control, state estimation and control, reduced order models and domain decomposition methods, Krylov-subspace and interpolatory methods, and applications to real industrial and complex problems.

The book represents the state of the art in the development of reduced order methods. It contains contributions from internationally respected experts, guaranteeing a wide range of expertise and topics. Further, it reflects an important effor

Автор: Pablo Pedregal
Название: Parametrized Measures and Variational Principles
ISBN: 3764356979 ISBN-13(EAN): 9783764356972
Издательство: Springer
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Цена: 121110.00 T
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Описание: Presents an approach to fundamental questions concerning the calculus of variations (and more generally to the theory of optimization) based on a systematic analysis of Young measures. This book focuses on Weak lower semicontinuity and relaxation.

Автор: Jan S Hesthaven; Gianluigi Rozza; Benjamin Stamm
Название: Certified Reduced Basis Methods for Parametrized Partial Differential Equations
ISBN: 3319224697 ISBN-13(EAN): 9783319224695
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book provides a thorough introduction to the mathematical and algorithmic aspects of certified reduced basis methods for parametrized partial differential equations.

Автор: Pablo Pedregal
Название: Parametrized Measures and Variational Principles
ISBN: 3034898150 ISBN-13(EAN): 9783034898157
Издательство: Springer
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Цена: 102480.00 T
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Описание: Weak convergence is a basic tool of modern nonlinear analysis because it enjoys the same compactness properties that finite dimensional spaces do: basically, bounded sequences are weak relatively compact sets.

Автор: Fehr Jцrg, Haasdonk Bernard
Название: Iutam Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22-25, 2018: Morcos 2018
ISBN: 3030210154 ISBN-13(EAN): 9783030210151
Издательство: Springer
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Цена: 139750.00 T
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Описание: This volume contains the proceedings of the IUTAM Symposium on Model Order Reduction of Coupled System, held in Stuttgart, Germany, May 22-25, 2018. For the understanding and development of complex technical systems, such as the human body or mechatronic systems, an integrated, multiphysics and multidisciplinary view is essential.

Автор: J?rg Fehr; Bernard Haasdonk
Название: IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018
ISBN: 303021012X ISBN-13(EAN): 9783030210120
Издательство: Springer
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Цена: 139750.00 T
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Описание: This volume contains the proceedings of the IUTAM Symposium on Model Order Reduction of Coupled System, held in Stuttgart, Germany, May 22–25, 2018.For the understanding and development of complex technical systems, such as the human body or mechatronic systems, an integrated, multiphysics and multidisciplinary view is essential. Many problems can be solved within one physical domain. For the simulation and optimization of the combined system, the different domains are connected with each other. Very often, the combination is only possible by using reduced order models such that the large-scale dynamical system is approximated with a system of much smaller dimension where the most dominant features of the large-scale system are retained as much as possible. The field of model order reduction (MOR) is interdisciplinary. Researchers from Engineering, Mathematics and Computer Science identify, explore and compare the potentials, challenges and limitations of recent and new advances.