Reduced-Order Modeling (ROM) for Simulation and Optimization

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anglais | 26-01-2019 | 192 pages

9783030091996

Livre de poche


67,40€

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Couverture / Jaquette

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. 

Fonctionnalité

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

Table des matières

Greedy Kernel Approximation for Sparse Surrogate Modelling.- Set-Oriented Multiobjective Optimal Control ofPDEs 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.

Détails

Code EAN :9783030091996
Auteur(trice): 
Editeur :Springer International Publishing-Springer Nature Switzerland-Springer International Publishing
Date de publication :  26-01-2019
Format :Livre de poche
Langue(s) : anglais
Hauteur :235 mm
Largeur :155 mm
Epaisseur :11 mm
Poids :300 gr
Stock :Impression à la demande (POD)
Nombre de pages :192
Mots clés :  Algorithms for scientific computing; MOR for optimization; Model order reduction for electrochemistry; Optimization and Control; Scientific Computing; applications in industry; model order reduction; model reduction