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Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics -
作者:Gianluigi Rozza
Gianluigi Rozza
人物简介:
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.
Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics书籍相关信息
- ISBN:9781611977240
- 作者:Gianluigi Rozza / Giovanni Stabile / Francesco Ballarin
- 出版社:SIAM-Society for Industrial and Applied Mathematics
- 出版时间:2022-11-21
- 页数:500
- 价格:USD 99.00
- 纸张:暂无纸张
- 装帧:Paperback
- 开本:暂无开本
- 语言:暂无语言
- 丛书:Computational Science & Engineering
- 适合人群:Researchers in computational fluid dynamics, engineers, applied mathematicians, graduate students in engineering and applied mathematics, and professionals interested in the application of reduced order methods in real-world fluid dynamics problems
- TAG:Numerical analysis / Fluid dynamics / Computational Fluid Dynamics / Engineering Applications / optimization / Reduced Order Modeling
- 豆瓣评分:暂无豆瓣评分
- 更新时间:2025-05-18 16:33:11
内容简介:
Reduced order modeling is an important, growing field in computational science and engineering, and this is the first book to address the subject in relation to computational fluid dynamics. It focuses on complex parametrization of shapes for their optimization and includes recent developments in advanced topics such as turbulence, stability of flows, inverse problems, optimization, and flow control, as well as applications.
This book will be of interest to researchers and graduate students in the field of reduced order modeling.