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A Computational Differential Geometry Approach to Grid Generation
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ISBN: 9783540342366

The process of breaking up a physical domain into smaller sub-domains, known as meshing, facilitates the numerical solution of partial differential equations used to simulate physical sys… More...

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A Computational Differential Geometry Approach to Grid Generation - Vladimir D. Liseikin
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A Computational Differential Geometry Approach to Grid Generation - new book

2007, ISBN: 9783540342366

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A Computational Differential Geometry Approach to Grid Generation - Vladimir D. Liseikin
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Vladimir D. Liseikin:
A Computational Differential Geometry Approach to Grid Generation - new book

ISBN: 9783540342366

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A Computational Differential Geometry Approach to Grid Generation - Vladimir D. Liseikin
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Vladimir D. Liseikin:
A Computational Differential Geometry Approach to Grid Generation - new book

2007, ISBN: 9783540342366

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A Computational Differential Geometry Approach to Grid Generation - Vladimir D. Liseikin
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Vladimir D. Liseikin:
A Computational Differential Geometry Approach to Grid Generation - new book

ISBN: 9783540342366

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Details of the book - A Computational Differential Geometry Approach to Grid Generation


EAN (ISBN-13): 9783540342366
ISBN (ISBN-10): 3540342362
Publishing year: 2006
Publisher: Springer-Verlag GmbH
294 Pages
Language: eng/Englisch

Book in our database since 2008-05-26T21:58:54+01:00 (London)
Detail page last modified on 2024-03-17T13:58:39+00:00 (London)
ISBN/EAN: 3540342362

ISBN - alternate spelling:
3-540-34236-2, 978-3-540-34236-6
Alternate spelling and related search-keywords:
Book title: generation pro, computational geometry, beyond geometry, differential geometry


Information from Publisher

Author: Vladimir D. Liseikin
Title: Scientific Computation; A Computational Differential Geometry Approach to Grid Generation
Publisher: Springer; Springer Berlin
294 Pages
Publishing year: 2006-09-12
Berlin; Heidelberg; DE
Language: English
171,19 € (DE)
176,00 € (AT)
201,00 CHF (CH)
Available
XIV, 294 p. 81 illus., 3 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Physik, Astronomie/Theoretische Physik; Mathematische Physik; Verstehen; Beltramian Equations; Grid Generation; Quasiconformal Grids; Riemannian Geometry; Scientific Computing; algorithms; computational fluid dynamics; B; Theoretical, Mathematical and Computational Physics; Mathematical Applications in Computer Science; Computational Mathematics and Numerical Analysis; Differential Geometry; Mathematical Methods in Physics; Classical and Continuum Physics; Physics and Astronomy; Theoretische Informatik; Numerische Mathematik; Differentielle und Riemannsche Geometrie; Klassische Mechanik; BB

The process of breaking up a physical domain into smaller sub-domains, known as meshing, facilitates the numerical solution of partial differential equations used to simulate physical systems. This monograph gives a detailed treatment of applications of geometric methods to advanced grid technology. It focuses on and describes a comprehensive approach based on the numerical solution of inverted Beltramian and diffusion equations with respect to monitor metrics for generating both structured and unstructured grids in domains and on surfaces. In this second edition the author takes a more detailed and practice-oriented approach towards explaining how to implement the method by: Employing geometric and numerical analyses of monitor metrics as the basis for developing efficient tools for controlling grid properties. Describing new grid generation codes based on finite differences for generating both structured and unstructured surface and domain grids. Providing examples of applications of the codes to the generation of adaptive, field-aligned, and balanced grids, to the solutions of CFD and magnetized plasmas problems. The book addresses both scientists and practitioners in applied mathematics and numerical solution of field problems.
Geometric methods in grid generation is a fairly recent subject with many applications in scientific computing So far the literature on the subject is sparse Includes supplementary material: sn.pub/extras

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