Model Reduction of Parametrized Systems

Nonfiction, Science & Nature, Mathematics, Counting & Numeration, Computers, Programming
Cover of the book Model Reduction of Parametrized Systems by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319587868
Publisher: Springer International Publishing Publication: September 5, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319587868
Publisher: Springer International Publishing
Publication: September 5, 2017
Imprint: Springer
Language: English

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).

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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).

More books from Springer International Publishing

Cover of the book Drug Resistance in Bacteria, Fungi, Malaria, and Cancer by
Cover of the book A Critical Overview of Biological Functions by
Cover of the book Managing for Social Impact by
Cover of the book Microorganisms in Foods 7 by
Cover of the book Electrochemistry of N4 Macrocyclic Metal Complexes by
Cover of the book EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII by
Cover of the book The Organization of Cities by
Cover of the book Information Security Theory and Practice by
Cover of the book Computational Collective Intelligence by
Cover of the book Personality in Speech by
Cover of the book Christianity, Globalization, and Protective Homophobia by
Cover of the book Molecular Markers in Mycology by
Cover of the book Distance, Symmetry, and Topology in Carbon Nanomaterials by
Cover of the book Introduction to Optimization Analysis in Hydrosystem Engineering by
Cover of the book The Political Economy of Underdevelopment in the Global South by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy