Model Reduction of Parametrized Systems

Beschreibung

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

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).

Represents the state of the art in the development of reduced order methods

Gathers contributions from internationally respected experts

Reflects an important effort to build a growing research community in this field

Autor*in

Peter Benner

Themen in »Model Reduction of Parametrized Systems«

Model order reduction Reduced order methods Reduced order modeling Offline-Online computing Parametrized systems held by PDEs partial differential equations

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