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  • Advanced Reduced Order Methods  and Applications in Computational Fluid Dynamics

    Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics by Rozza, Gianluigi; Stabile, Giovanni; Ballarin, Francesco;

    Series: Computational Science and Engineering;

      • GET 10% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 85.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        40 608 Ft (38 675 Ft + 5% VAT)
      • Discount 10% (cc. 4 061 Ft off)
      • Discounted price 36 548 Ft (34 808 Ft + 5% VAT)

    40 608 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher MP–SIA SIAM – Society for Industrial and Applied M
    • Date of Publication 30 December 2022

    • ISBN 9781611977240
    • Binding Paperback
    • No. of pages466 pages
    • Size 252x181x31 mm
    • Weight 1080 g
    • Language English
    • 416

    Categories

    Short description:

    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.

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    Long description:

    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.

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