Numerical Methods for Fluid Dynamics: With Applications in Geophysics

Author:   Dale R. Durran
Publisher:   Springer-Verlag New York Inc.
Volume:   v.32
ISBN:  

9780387983769


Pages:   482
Publication Date:   25 November 1998
Format:   Hardback
Availability:   Awaiting stock   Availability explained


Our Price $237.47 Quantity:  
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Numerical Methods for Fluid Dynamics: With Applications in Geophysics


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Overview

This scholarly text provides an introduction to the numerical methods used to model partial differential equations, with focus on atmospheric and oceanic flows.The book covers both the essentials of building a numerical model and the more sophisticated techiniques that are now available. Finite difference methods, spectral methods, finite element method, flux-corrected methods and TVC schemes are all discussed. Throughout the book the author has provided a middle ground between the theorem-proof formalism of a mathematical text and the highly empirical approach found in some engineering publications. The book establishes a concrete link between the theory and practice using an extensive range of test problems to illustrate the theoretically derived properties of various methods. Numerical Methods for Geophysical Fluid Dynamics will be useful as a senior undergraduate and graduate text and reference for those teaching numerical methods particularly those concentrating on fluid dynamics. Dale R Durran is a Professor at the University of Washington, Seattle.

Full Product Details

Author:   Dale R. Durran
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Volume:   v.32
Dimensions:   Width: 23.40cm , Height: 2.80cm , Length: 15.60cm
Weight:   1.890kg
ISBN:  

9780387983769


ISBN 10:   0387983767
Pages:   482
Publication Date:   25 November 1998
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Awaiting stock   Availability explained

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