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
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.
Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics分类索引数据信息
ISBN:9781611977240
出版日期:2022-11-21 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