Realization and Model Reduction of Dynamical Systems, Beattie
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: Benner Peter, Breiten Tobias, FaЯbender Heike Название: Model Reduction of Complex Dynamical Systems ISBN: 3030729826 ISBN-13(EAN): 9783030729820 Издательство: Springer 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: 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: T. Matsuo Название: Realization Theory of Continuous-Time Dynamical Systems ISBN: 3540106820 ISBN-13(EAN): 9783540106821 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Obinata, Goro Anderson, Brian D. O. Название: Model reduction for control system design ISBN: 1447110781 ISBN-13(EAN): 9781447110781 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Comprehensive treatment of approximation methods for filters and controllers. Balanced truncation, Hankel norm reduction, multiplicative reduction, weighted methods and coprime factorization methods are all discussed.
Автор: Benner, Peter. Название: Model reduction of parametrized systems / ISBN: 3319587854 ISBN-13(EAN): 9783319587851 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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
t, carried out over the last 12 years, to build a growing research community in this field.
Though not a textbook, some of the chapters can be used as reference materials or lecture notes for classes and tutorials (doctoral schools, master classes).
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: Peter Benner; Michael Hinze; E. Jan W. ter Maten Название: Model Reduction for Circuit Simulation ISBN: 940073283X ISBN-13(EAN): 9789400732834 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Simulation plays a major role in the computer-aided design of integrated circuits, yet its complexities in an age of miniaturization cause time-lags in product manufacture. Model Order Reduction resolves the dilemma, and this volume covers the latest results.
Автор: Athanasios C. Antoulas Название: Interpolatory Methods for Model Reduction ISBN: 1611976073 ISBN-13(EAN): 9781611976076 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10220.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Interpolatory methods are among the most widely used model reduction techniques, and Interpolatory Methods for Model Reduction is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods reflecting significant developments over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks.This textbook is appropriate for a wide audience of engineers and other scientists working in the general areas of large-scale dynamical systems and data-driven modeling of dynamics.
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.
Автор: Chung Название: Multiscale Model Reduction ISBN: 3031204085 ISBN-13(EAN): 9783031204081 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Нет в наличии.
Описание: This monograph is devoted to the study of multiscale model reduction methods from the point of view of multiscale finite element methods. Multiscale numerical methods have become popular tools for modeling processes with multiple scales. These methods allow reducing the degrees of freedom based on local offline computations. Moreover, these methods allow deriving rigorous macroscopic equations for multiscale problems without scale separation and high contrast. Multiscale methods are also used to design efficient solvers. This book offers a combination of analytical and numerical methods designed for solving multiscale problems. The book mostly focuses on methods that are based on multiscale finite element methods. Both applications and theoretical developments in this field are presented. The book is suitable for graduate students and researchers, who are interested in this topic.
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