Dimension Reduction of Large-Scale Systems : Proceedings of a Workshop held in Oberwolfach, Germany, October 19 25, 2003

In the past decades, model reduction has become an ubiquitous tool in analysis and simulation of dynamical systems, control design, circuit simulation, structural dynamics, CFD, and many other disciplines dealing with complex physical models. The aim of this book is to survey some of the most succes...

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Detaylı Bibliyografya
Yazar: Benner, Peter
Diğer Yazarlar: Mehrmann, Volker (Yayın yönetmeni), Sorensen, Danny C. (Yayın yönetmeni)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2005.
Seri Bilgileri:Lecture Notes in Computational Science and Engineering 45
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Dimension reduction of large-scale systems, proceedings of a workshop held in Oberwolfach, Germany, October 19-25, 2003, Peter Benner, Volker Mehrmann, Danny C. Sorensen, editors, Berlin, Springer, 2005, 1 vol. (XI-395 p.), Lecture notes in computational science and engineering, 3-540-24545-6
• Dimension Reduction of Large-Scale Systems, Texte imprimé, 9783540807629
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505 1 |a Papers Model Reduction Based on Spectral Projection Methods Smith-Type Methods for Balanced Truncation of Large Sparse Systems Balanced Truncation Model Reduction for Large-Scale Systems in Descriptor Form On Model Reduction of Structured Systems Model Reduction of Time-Varying Systems Model Reduction of Second-Order Systems Arnoldi Methods for Structure-Preserving Dimension Reduction of Second-Order Dynamical Systems Padé-Type Model Reduction of Second-Order and Higher-Order Linear Dynamical Systems Controller Reduction Using Accuracy-Enhancing Methods Proper Orthogonal Decomposition Surrogate Models for Nonlinear Dynamical Systems: Error Estimates and Suboptimal Control Benchmarks Oberwolfach Benchmark Collection A File Format for the Exchange of Nonlinear Dynamical ODE Systems Nonlinear Heat Transfer Modeling Microhotplate Gas Sensor Tunable Optical Filter Convective Thermal Flow Problems Boundary Condition Independent Thermal Model The Butterfly Gyro A Semi-Discretized Heat Transfer Model for Optimal Cooling of Steel Profiles Model Reduction of an Actively Controlled Supersonic Diffuser Second Order Models: Linear-Drive Multi-Mode Resonator and Axi Symmetric Model of a Circular Piston RCL Circuit Equations PEEC Model of a Spiral Inductor Generated by Fasthenry Benchmark Examples for Model Reduction of Linear Time-Invariant Dynamical Systems 
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520 |a In the past decades, model reduction has become an ubiquitous tool in analysis and simulation of dynamical systems, control design, circuit simulation, structural dynamics, CFD, and many other disciplines dealing with complex physical models. The aim of this book is to survey some of the most successful model reduction methods in tutorial style articles and to present benchmark problems from several application areas for testing and comparing existing and new algorithms. As the discussed methods have often been developed in parallel in disconnected application areas, the intention of the mini-workshop in Oberwolfach and its proceedings is to make these ideas available to researchers and practitioners from all these different disciplines 
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700 1 |a Sorensen, Danny C.  |4 pbd 
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