Model Reduction of Parametrized Systems 1st ed. 2017 Edition

Ebook Details

Authors

Peter Benner, Mario Ohlberger, Anthony Patera

Year 2017
Pages 504
Publisher Springer
Language en
ISBN 9783319587851
File Size 14.35 MB
File Format PDF
Download Counter 54
Amazon Link

Ebook Description

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.