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Model Reduction of Parametrized Systems
Title
Model Reduction of Parametrized Systems [electronic resource] / edited by Peter Benner, Mario Ohlberger, Anthony Patera, Gianluigi Rozza, Karsten Urban.
ISBN
9783319587868
Publication
Cham : Springer International Publishing : Imprint: Springer, 2017.
Physical Description
XII, 504 p. : online resource.
Local Notes
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Summary
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).
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
October 03, 2017
Series
MS&A, Modeling, Simulation and Applications, 17
Contents
1 Two ways to treat time in Reduced Basis Methods
2 Simultaneous empirical interpolation and reduced basis method. Application to non-linear multi-physics problem
3 A Certified Reduced Basis Approach for Parametrized Optimal Control Problems with Two-sided Control Constraints
4 A reduced basis method with an exact solution certificate and spatio-parameter adaptivity: application to linear elasticity
5 A Reduced Basis Method for Parameter Functions using Wavelet Approximations
6 Reduced basis isogeometric mortar approximations for eigenvalue problems in vibroacoustics
7 Reduced Basis Approximations for Maxwell’s Equations in Dispersive Media
8 Offline Error Bounds for the Reduced Basis Method
9 ArbiLoMod: Local Solution Spaces by Random Training in Electrodynamics
10 Reduced-order semi-implicit schemes for fluid-structure interaction problems
11 True Error Control for the Localized Reduced Basis Method for Parabolic Problems
12 Automatic reduction of PDEs defined on domains with variable shape
13 Localized Reduced Basis Approximation of a Nonlinear Finite Volume Battery Model with Resolved Electrode Geometry
14 A-posteriori error estimation of discrete POD models for PDE-constrained optimal control
15 Hi-POD solution of parametrized fluid dynamics problems: preliminary results
16 Adaptive sampling for nonlinear dimensionality reduction based on manifold learning
17 Cross-Gramian-Based Model Reduction: A Comparison
18 Truncated Gramians for Bilinear Systems and their Advantages in Model Order Reduction
19 Leveraging Sparsity and Compressive Sensing for Reduced Order Modeling
20 A HJB-POD approach to the control of the level set equation
21 Model order reduction approaches for infinite horizon optimal control problems via the HJB equation
22 Interpolatory methods for H model reduction of multi-input/multi-output systems
23 Model reduction of linear time-varying systems with applications for moving loads
24 Interpolation Strategy for BT-based Parametric MOR of Gas Pipeline-Networks
25 Energy stable model order reduction for the Allen-Cahn equation
26 MOR-based Uncertainty Quantification in Transcranial Magnetic Stimulation
27 Model Order Reduction of Nonlinear Eddy Current Problems using Missing Point Estimation
28 On Efficient Approaches for Solving a Cake Filtration Model under Parameter Variation
29 Model reduction for coupled near-well and reservoir models using multiple space-time discretizations
30 Time-dependent Parametric Model Order Reduction for Material Removal Simulations .
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