Advanced Reduced Order Methods  and Applications in Computational Fluid Dynamics, 9781611977240
Paperback
Unlock fluid dynamics optimization: Advanced methods for complex problems and applications.

Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics

$215.97

  • Paperback

    466 pages

  • Release Date

    29 December 2022

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Summary

Unlock Efficiency: Reduced Order Methods in Computational Fluid Dynamics

Reduced order modeling is a rapidly growing field in computational science and engineering, and this book pioneers its application to computational fluid dynamics. The focus is on complex shape parametrization for optimization, incorporating the latest advancements in areas like turbulence, flow stability, inverse problems, optimization, and flow control, alongside diverse applications.

This book is ide…

Book Details

ISBN-13:9781611977240
ISBN-10:161197724X
Series:Computational Science and Engineering
Author:Gianluigi Rozza, Giovanni Stabile, Francesco Ballarin
Publisher:Society for Industrial & Applied Mathematics,U.S.
Imprint:Society for Industrial & Applied Mathematics,U.S.
Format:Paperback
Number of Pages:466
Release Date:29 December 2022
Weight:488g
Dimensions:259mm x 183mm
About The Author

Gianluigi Rozza

Gianluigi Rozza is a full professor of Numerical Analysis and Scientific Computing at SISSA MathLab – International School for Advanced Studies, in Trieste, Italy. His research interests include numerical analysis, numerical simulation, scientific computing, and reduced order modeling and methods with a special focus on viscous flows and complex geometrical parametrizations.

Giovanni Stabile is an assistant professor at SISSA MathLab – International School for Advanced Studies, in Trieste, Italy. His current research interests include several aspects concerning the numerical approximation of partial differential equations with a special emphasis on model order reduction techniques for computational fluid dynamic problems. He has worked with industrial partners on a variety of projects aimed at exporting advanced numerical methods to the industrial world.

Francesco Ballarin is an assistant professor in Numerical Analysis in the Department of Mathematics and Physics at Catholic University of the Sacred Heart, Brescia, Italy. His research focuses on reduced order models for parametrized problems in computational fluid dynamics and applications in engineering and life sciences, such as those arising from environmental problems or patient-specific mathematical modeling of the cardiovascular system. He also develops open source software libraries.

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