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A Computational Differential Geometry Approach to Grid Generation (Scientific Computation)
 
 
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A Computational Differential Geometry Approach to Grid Generation (Scientific Computation) [Hardcover]

Vladimir D. Liseikin (Author)


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A Computational Differential Geometry Approach to Grid Generation (Scientific Computation) A Computational Differential Geometry Approach to Grid Generation (Scientific Computation)
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Book Description

3540140085 978-3540140085 October 10, 2003 1
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 describes in detail the eminent role played by differential geometry in grid technology based on mapping. It demonstrates how the Beltrami operator helps to develop robust multidimensional grid generation codes, while supplying related numerical code. In particular, procedures for the construction of monitor metric tensors are given and their qualitative effect on the resulting mesh is analyzed. Reviewing concepts from Riemannian geometry, the book applies them to general grids with prescribed properties, and discusses the role of mean and of Gaussian curvature and other geometric characteristics for the Beltrami equations for grid generation. It addresses scientists and practitioners as well as graduate students from applied mathematics, physics, and engineering.

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From the Back Cover

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. --This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 264 pages
  • Publisher: Springer; 1 edition (October 10, 2003)
  • Language: English
  • ISBN-10: 3540140085
  • ISBN-13: 978-3540140085
  • Product Dimensions: 9.2 x 6.2 x 0.8 inches
  • Shipping Weight: 1.2 pounds
  • Amazon Best Sellers Rank: #4,060,022 in Books (See Top 100 in Books)

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
generating adaptive grids, basic tangent vectors, base tangential vectors, mixed differential parameter, fsi fsj, multidimensional differential geometry, ask asm, second differential parameter, grid equations, basic parallelepiped, first differential parameter, monitor manifold, covariant metric tensor, grid clustering, contravariant metric tensor, grid smoothness, asj ask, coordinate hypersurface, grid behavior, generating grids, elliptic models, monitor surface, monitor metrics, equidistribution principle, grid generation method
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