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

Vladimir D. Liseikin

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تحویل فوری
پرداخت امن
ضمانت فایل
پشتیبانی

مشخصات کتاب

نویسنده
Vladimir D. Liseikin
سال انتشار
۲۰۰۷
فرمت
PDF
زبان
انگلیسی
حجم فایل
۵٫۵ مگابایت

دربارهٔ کتاب

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 editionВ the author takesВ a more detailed and practice-orientedВ approach towards explaining how to implement the methodВ by: * EmployingВ 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. * ProvidingВ 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. 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. In an updated and expanded Second Edition, this monograph gives a detailed treatment 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. The goal of advanced grid technology is the development of robust algorithms and codes for generating grids in arbitrary spatial domains.

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