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Reduced-Order Modeling (ROM) for Simulation and Optimization de Winfried Keiper

Reduced-Order Modeling (ROM) for Simulation and Optimization

Editat de Winfried Keiper, Anja Milde, Stefan Volkwein
en Limba Engleză Paperback – 26 ian 2019
This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike. 
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Specificații

ISBN-13: 9783030091996
ISBN-10: 3030091996
Pagini: 192
Ilustrații: IX, 179 p. 60 illus., 47 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

​Greedy Kernel Approximation for Sparse Surrogate Modelling.- Set-Oriented Multiobjective Optimal Control of
PDEs using Proper Orthogonal Decomposition.- A Direct Index 1 DAE Model of Gas Networks.- Model Order Reduction for Rotating Electrical Machines.- Morembs – a Model Order Reduction Package for Elastic Multibody Systems and Beyond.- An Iterative Model Reduction Scheme for Quadratic-Bilinear Descriptor Systems with an Application to Navier-Stokes Equations.- Sequential Reduced Order Modeling for Time-Dependent Optimization Problems with Initial Value Controls.

Textul de pe ultima copertă

This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.

Caracteristici

Addresses the advancement of efficient numerical procedures Includes out-of-the-box algorithmic solutions, e.g. reduced basis methods for industrial problems A special chapter on next generation Flash prepares readers for the future