e-book Grid Generation Methods (Scientific Computation)

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  1. Laboratory for Scientific Computing
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  4. A Computational Differential Geometry Approach to Grid Generation - CERN Document Server

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Write a review Rate this item: 1 2 3 4 5. Preview this item Preview this item. Series: Scientific computation. It formulates basic local and integral grid quality measures and reviews fresh approaches to mesh generation. Show all links.

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This is a fully revised and updated second edition of the introduction to structured and unstructured grid methods in scientific computing. Read more Reviews User-contributed reviews Add a review and share your thoughts with other readers.

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    Cancel Forgot your password? Scientific computation. User lists Similar Items. General considerations -- Coordinate transformations -- Grid quality measures -- Stretching method -- Algebraic grid generation -- Grid generation through differential systems -- Dynamic adaptation -- Variational methods -- Curve and surface grid methods -- Comprehensive method -- Unstructured methods. Home About Help Search. International students Continuing education Executive and professional education Courses in education.

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    A Computational Differential Geometry Approach to Grid Generation - CERN Document Server

    Cartesian Mesh Generation. In Computational Fluid Dynamics applications, high-quality mesh generation is a prerequisite for calculating accurate solutions. An attractive alternative to conventional body-fitted or unstructured meshing techniques is offered by the Cartesian cut cell approach. It allows for rapid, automatic, mesh generation for complex geometries, and maintains the computational conveniences offered by the use of Cartesian grids.

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    The challenge This Cartesian cut cell approach generates a mesh without the need of optimisation, thus removing a significant bottleneck in the simulation pipeline. Useful Links.