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: Wilhelmus H. Schilders; Henk A. van der Vorst; Joo Название: Model Order Reduction: Theory, Research Aspects and Applications ISBN: 3540788409 ISBN-13(EAN): 9783540788409 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes the basics of model order reduction and related aspects. This work covers both general and specialized model order reduction techniques for linear and nonlinear systems, and discusses the use of model order reduction techniques in a variety of practical applications. It also contains many advances in model order reduction.
Автор: Peter Benner, Wilhelmus Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luis Miguel Silveira Название: Model Order Reduction: Volume 1: System- and Data-Driven Methods and Algorithms ISBN: 3110500434 ISBN-13(EAN): 9783110500431 Издательство: Walter de Gruyter Рейтинг: Цена: 31603.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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 first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.
Автор: Peter Benner Название: Model Order Reduction: Volume 3: Applications ISBN: 3110500442 ISBN-13(EAN): 9783110500448 Издательство: Walter de Gruyter Цена: 30673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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 three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Описание: Model Order Reduction Techniqes focuses on model reduction problems with particular applications in electrical engineering. Particular attention is given to providing basic concepts for building expert systems for model reducution.
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.
Автор: N. Banagaaya; Giuseppe Al?; Wil H.A. Schilders Название: Index-aware Model Order Reduction Methods ISBN: 9462391882 ISBN-13(EAN): 9789462391888 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The main aim of this book is to discuss model order reduction (MOR) methods for differential-algebraic equations (DAEs) with linear coefficients that make use of splitting techniques before applying model order reduction.
Автор: Beattie Название: Realization and Model Reduction of Dynamical Systems ISBN: 3030951561 ISBN-13(EAN): 9783030951566 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book celebrates Professor Thanos Antoulas`s 70th birthday, marking his fundamental contributions to systems and control theory, especially model reduction and, more recently, data-driven modeling and system identification. Model reduction is a prominent research topic with wide ranging scientific and engineering applications.
Автор: Alexander N. Gorban; Dirk Roose Название: Coping with Complexity: Model Reduction and Data Analysis ISBN: 3642265618 ISBN-13(EAN): 9783642265617 Издательство: Springer Рейтинг: Цена: 24456.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the extended version of selected talks given at the international research workshop "Coping with Complexity: Model Reduction and Data Analysis", Ambleside, UK, August 31 - September 4, 2009.
Автор: Benner Название: Model Reduction of Complex Dynamical Systems ISBN: 3030729850 ISBN-13(EAN): 9783030729851 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent problems.
Автор: Alfio Quarteroni; Gianluigi Rozza Название: Reduced Order Methods for Modeling and Computational Reduction ISBN: 3319377353 ISBN-13(EAN): 9783319377353 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details advances and developments in reduced order methods for modeling and computational reduction of complex parametrized systems held by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques.
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