POD-based A-posteriori Error Estimation for Control Problems Governed by Nonlinear PDEs

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis POD-based A-posteriori Error Estimation for Control Problems Governed by Nonlinear PDEs by : Stefan Trenz

Download or read book POD-based A-posteriori Error Estimation for Control Problems Governed by Nonlinear PDEs written by Stefan Trenz and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model Reduction of Parametrized Systems

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Publisher : Springer
ISBN 13 : 3319587862
Total Pages : 503 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Model Reduction of Parametrized Systems by : Peter Benner

Download or read book Model Reduction of Parametrized Systems written by Peter Benner and published by Springer. This book was released on 2017-09-05 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

A-posteriori Error Estimation of Discrete POD Models for PDE-constrained Optimal Control

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (989 download)

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Book Synopsis A-posteriori Error Estimation of Discrete POD Models for PDE-constrained Optimal Control by : Martin Gubisch

Download or read book A-posteriori Error Estimation of Discrete POD Models for PDE-constrained Optimal Control written by Martin Gubisch and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Review of Posteriori Error Estimation & Adaptive Mesh-Refinement Techniques

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Publisher : Wiley
ISBN 13 : 9780471967958
Total Pages : 134 pages
Book Rating : 4.9/5 (679 download)

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Book Synopsis A Review of Posteriori Error Estimation & Adaptive Mesh-Refinement Techniques by : Rudiger Verfurth

Download or read book A Review of Posteriori Error Estimation & Adaptive Mesh-Refinement Techniques written by Rudiger Verfurth and published by Wiley. This book was released on 1996-06-11 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wiley—Teubner Series Advances in Numerical Mathematics Editors Hans Georg Bock Mitchell Luskin Wolfgang Hackbusch Rolf Rannacher A Review of A Posteriori Error Estimation and Adaptive Mesh-Refinement Techniques Rüdiger Verfürth Ruhr-Universität Bochum, Germany Self-adaptive discretization methods have gained an enormous importance for the numerical solution of partial differential equations which arise in physical and technical applications. The aim of these methods is to obtain a numerical solution within a prescribed tolerance using a minimal amount of work. The main tools utilised are a posteriori error estimators and indicators which are able to give global and local information on the error of the numerical solution, using only the computed numerical solution and known data of the problem. Presenting the most frequently used error estimators which have been developed by various scientists in the last two decades, this book demonstrates that they are all based on the same basic principles. These principles are then used to develop an abstract framework which is able to handle general nonlinear problems. The abstract results are applied to various classes of nonlinear elliptic partial differential equations from, for example, fluid and continuum mechanics, to yield reliable and easily computable error estimators. The book covers stationary problems but omits transient problems, where theory is often still too complex and not yet well developed.

Trends in PDE Constrained Optimization

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Publisher : Springer
ISBN 13 : 3319050834
Total Pages : 539 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Trends in PDE Constrained Optimization by : Günter Leugering

Download or read book Trends in PDE Constrained Optimization written by Günter Leugering and published by Springer. This book was released on 2014-12-22 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization problems subject to constraints governed by partial differential equations (PDEs) are among the most challenging problems in the context of industrial, economical and medical applications. Almost the entire range of problems in this field of research was studied and further explored as part of the Deutsche Forschungsgemeinschaft (DFG) priority program 1253 on “Optimization with Partial Differential Equations” from 2006 to 2013. The investigations were motivated by the fascinating potential applications and challenging mathematical problems that arise in the field of PDE constrained optimization. New analytic and algorithmic paradigms have been developed, implemented and validated in the context of real-world applications. In this special volume, contributions from more than fifteen German universities combine the results of this interdisciplinary program with a focus on applied mathematics. The book is divided into five sections on “Constrained Optimization, Identification and Control”, “Shape and Topology Optimization”, “Adaptivity and Model Reduction”, “Discretization: Concepts and Analysis” and “Applications”. Peer-reviewed research articles present the most recent results in the field of PDE constrained optimization and control problems. Informative survey articles give an overview of topics that set sustainable trends for future research. This makes this special volume interesting not only for mathematicians, but also for engineers and for natural and medical scientists working on processes that can be modeled by PDEs.

Numerical Analysis of POD A-Posteriori Error Estimation for Optimal Control

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Publisher :
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4.:/5 (985 download)

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Book Synopsis Numerical Analysis of POD A-Posteriori Error Estimation for Optimal Control by : Alina Studinger

Download or read book Numerical Analysis of POD A-Posteriori Error Estimation for Optimal Control written by Alina Studinger and published by . This book was released on 2012 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model Reduction and Approximation

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Publisher : SIAM
ISBN 13 : 161197481X
Total Pages : 421 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Model Reduction and Approximation by : Peter Benner

Download or read book Model Reduction and Approximation written by Peter Benner and published by SIAM. This book was released on 2017-07-06 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many physical, chemical, biomedical, and technical processes can be described by partial differential equations or dynamical systems. In spite of increasing computational capacities, many problems are of such high complexity that they are solvable only with severe simplifications, and the design of efficient numerical schemes remains a central research challenge. This book presents a tutorial introduction to recent developments in mathematical methods for model reduction and approximation of complex systems. Model Reduction and Approximation: Theory and Algorithms contains three parts that cover (I) sampling-based methods, such as the reduced basis method and proper orthogonal decomposition, (II) approximation of high-dimensional problems by low-rank tensor techniques, and (III) system-theoretic methods, such as balanced truncation, interpolatory methods, and the Loewner framework. It is tutorial in nature, giving an accessible introduction to state-of-the-art model reduction and approximation methods. It also covers a wide range of methods drawn from typically distinct communities (sampling based, tensor based, system-theoretic).?? This book is intended for researchers interested in model reduction and approximation, particularly graduate students and young researchers.

A Posteriori Error Analysis Via Duality Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 038723537X
Total Pages : 312 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis A Posteriori Error Analysis Via Duality Theory by : Weimin Han

Download or read book A Posteriori Error Analysis Via Duality Theory written by Weimin Han and published by Springer Science & Business Media. This book was released on 2006-07-30 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides a posteriori error analysis for mathematical idealizations in modeling boundary value problems, especially those arising in mechanical applications, and for numerical approximations of numerous nonlinear var- tional problems. An error estimate is called a posteriori if the computed solution is used in assessing its accuracy. A posteriori error estimation is central to m- suring, controlling and minimizing errors in modeling and numerical appr- imations. In this book, the main mathematical tool for the developments of a posteriori error estimates is the duality theory of convex analysis, documented in the well-known book by Ekeland and Temam ([49]). The duality theory has been found useful in mathematical programming, mechanics, numerical analysis, etc. The book is divided into six chapters. The first chapter reviews some basic notions and results from functional analysis, boundary value problems, elliptic variational inequalities, and finite element approximations. The most relevant part of the duality theory and convex analysis is briefly reviewed in Chapter 2.

Certified Reduced Basis Methods for Parametrized Partial Differential Equations

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Publisher : Springer
ISBN 13 : 3319224700
Total Pages : 139 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Certified Reduced Basis Methods for Parametrized Partial Differential Equations by : Jan S Hesthaven

Download or read book Certified Reduced Basis Methods for Parametrized Partial Differential Equations written by Jan S Hesthaven and published by Springer. This book was released on 2015-08-20 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough introduction to the mathematical and algorithmic aspects of certified reduced basis methods for parametrized partial differential equations. Central aspects ranging from model construction, error estimation and computational efficiency to empirical interpolation methods are discussed in detail for coercive problems. More advanced aspects associated with time-dependent problems, non-compliant and non-coercive problems and applications with geometric variation are also discussed as examples.

Snapshot-Based Methods and Algorithms

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110671506
Total Pages : 369 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Snapshot-Based Methods and Algorithms by : Peter Benner

Download or read book Snapshot-Based Methods and Algorithms written by Peter Benner and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-12-16 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

Reduced Basis Methods for Partial Differential Equations

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Publisher : Springer
ISBN 13 : 3319154311
Total Pages : 305 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Reduced Basis Methods for Partial Differential Equations by : Alfio Quarteroni

Download or read book Reduced Basis Methods for Partial Differential Equations written by Alfio Quarteroni and published by Springer. This book was released on 2015-08-19 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a basic introduction to reduced basis (RB) methods for problems involving the repeated solution of partial differential equations (PDEs) arising from engineering and applied sciences, such as PDEs depending on several parameters and PDE-constrained optimization. The book presents a general mathematical formulation of RB methods, analyzes their fundamental theoretical properties, discusses the related algorithmic and implementation aspects, and highlights their built-in algebraic and geometric structures. More specifically, the authors discuss alternative strategies for constructing accurate RB spaces using greedy algorithms and proper orthogonal decomposition techniques, investigate their approximation properties and analyze offline-online decomposition strategies aimed at the reduction of computational complexity. Furthermore, they carry out both a priori and a posteriori error analysis. The whole mathematical presentation is made more stimulating by the use of representative examples of applicative interest in the context of both linear and nonlinear PDEs. Moreover, the inclusion of many pseudocodes allows the reader to easily implement the algorithms illustrated throughout the text. The book will be ideal for upper undergraduate students and, more generally, people interested in scientific computing. All these pseudocodes are in fact implemented in a MATLAB package that is freely available at https://github.com/redbkit

Approximation of Large-Scale Dynamical Systems

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Publisher : SIAM
ISBN 13 : 0898716586
Total Pages : 489 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Approximation of Large-Scale Dynamical Systems by : Athanasios C. Antoulas

Download or read book Approximation of Large-Scale Dynamical Systems written by Athanasios C. Antoulas and published by SIAM. This book was released on 2009-06-25 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale integration (VLSI) circuits. The increasing need for accuracy has led to the development of highly complex models. However, in the presence of limited computational accuracy and storage capabilities model reduction (system approximation) is often necessary. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations. It addresses the issue of model reduction and the resulting trade-offs between accuracy and complexity. Special attention is given to numerical aspects, simulation questions, and practical applications.

A Posteriori Error Estimation for Hybridized Mixed and Discontinuous Galerkin Methods

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Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832530886
Total Pages : 106 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis A Posteriori Error Estimation for Hybridized Mixed and Discontinuous Galerkin Methods by : Johannes Neher

Download or read book A Posteriori Error Estimation for Hybridized Mixed and Discontinuous Galerkin Methods written by Johannes Neher and published by Logos Verlag Berlin GmbH. This book was released on 2012 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a variety of finite element based methods applicable to the discretization of second order elliptic boundary value problems in mixed form. However, it is expensive to solve the resulting discrete linear system due to its size and its algebraic structure. Hybridization serves as a tool to circumvent these difficulties. Furthermore hybridization is an elegant concept to establish connections among various finite element methods. In this work connections between the methods and their hybridized counterparts are established after showing the link between three different formulations of the elliptic model problem. The main part of the work contains the development of a reliable a posteriori error estimator, which is applicable to all of the methods above. This estimator is the key ingredient of an adaptive numerical approximation of the original boundary value problem. Finally, a number of numerical tests is discussed in order to exhibit the performance of the adaptive hybridized methods.

Real Time Reduced Order Computational Mechanics

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Publisher : Springer Nature
ISBN 13 : 3031498925
Total Pages : 180 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Real Time Reduced Order Computational Mechanics by : Gianluigi Rozza

Download or read book Real Time Reduced Order Computational Mechanics written by Gianluigi Rozza and published by Springer Nature. This book was released on with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Error Control, Adaptive Discretizations, and Applications, Part 2

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Publisher : Academic Press
ISBN 13 : 9780443294501
Total Pages : 0 pages
Book Rating : 4.2/5 (945 download)

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Book Synopsis Error Control, Adaptive Discretizations, and Applications, Part 2 by :

Download or read book Error Control, Adaptive Discretizations, and Applications, Part 2 written by and published by Academic Press. This book was released on 2024-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Error Control, Adaptive Discretizations, and Applications, Volume 59, Part Two highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release cover hp adaptive Discontinuous Galerkin strategies driven by a posteriori error estimation with application to aeronautical flow problems, An anisotropic mesh adaptation method based on gradient recovery and optimal shape elements, and Model reduction techniques for parametrized nonlinear partial differential equations.

Optimality System POD and A-posteriori Error Analysis for Linear-quadratic Optimal Control Problems

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (932 download)

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Book Synopsis Optimality System POD and A-posteriori Error Analysis for Linear-quadratic Optimal Control Problems by : Eva Grimm

Download or read book Optimality System POD and A-posteriori Error Analysis for Linear-quadratic Optimal Control Problems written by Eva Grimm and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Real-time PDE-constrained Optimization

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Publisher : SIAM
ISBN 13 : 9780898718935
Total Pages : 335 pages
Book Rating : 4.7/5 (189 download)

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Book Synopsis Real-time PDE-constrained Optimization by : Lorenz T. Biegler

Download or read book Real-time PDE-constrained Optimization written by Lorenz T. Biegler and published by SIAM. This book was released on 2007-01-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many engineering and scientific problems in design, control, and parameter estimation can be formulated as optimization problems that are governed by partial differential equations (PDEs). The complexities of the PDEs--and the requirement for rapid solution--pose significant difficulties. A particularly challenging class of PDE-constrained optimization problems is characterized by the need for real-time solution, i.e., in time scales that are sufficiently rapid to support simulation-based decision making. Real-Time PDE-Constrained Optimization, the first book devoted to real-time optimization for systems governed by PDEs, focuses on new formulations, methods, and algorithms needed to facilitate real-time, PDE-constrained optimization. In addition to presenting state-of-the-art algorithms and formulations, the text illustrates these algorithms with a diverse set of applications that includes problems in the areas of aerodynamics, biology, fluid dynamics, medicine, chemical processes, homeland security, and structural dynamics. Audience: readers who have expertise in simulation and are interested in incorporating optimization into their simulations, who have expertise in numerical optimization and are interested in adapting optimization methods to the class of infinite-dimensional simulation problems, or who have worked in "offline" optimization contexts and are interested in moving to "online" optimization.