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OverviewThis new edition provides a description of current developments relating to grid methods, grid codes, and their applications to actual problems. Grid generation methods are indispensable for the numerical solution of differential equations. Adaptive grid-mapping techniques, in particular, are the main focus and represent a promising tool to deal with systems with singularities. This 3rd edition includes three new chapters on numerical implementations (10), control of grid properties (11), and applications to mechanical, fluid, and plasma related problems (13). Also the other chapters have been updated including new topics, such as curvatures of discrete surfaces (3). Concise descriptions of hybrid mesh generation, drag and sweeping methods, parallel algorithms for mesh generation have been included too.This new edition addresses a broad range of readers: students, researchers, and practitioners in applied mathematics, mechanics, engineering, physics and other areas of applications. Full Product DetailsAuthor: Vladimir D. LiseikinPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 3rd ed. 2017 Weight: 9.253kg ISBN: 9783319862651ISBN 10: 3319862650 Pages: 530 Publication Date: 12 May 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsGeneral Considerations.- Coordinate Transformations.- Grid Quality Measures.- Stretching Method.- Algebraic Grid Generation.- Grid Generation Through Differential Systems.- Variational Methods.- Curve and Surface Grid Methods.- Comprehensive Method.- Numerical Implementations of Comprehensive Grid Generators.- Control of Grid Properties.- Unstructured Methods.- Applications of Adaptive Grids to Solution of Problems.- References.- Index.ReviewsEach chapter provides a thorough description of the background of the method under consideration, explains its properties, and makes clear for which type of problem it is suitable. Plenty of carefully designed instructive figures provide examples illustrating the methods' features. ... It is also likely to form an excellent foundation for designing a semester's set of lectures for a course addressing graduate students. (Kai Diethelm, Computing Reviews, April, 2018) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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