Methods for the numerical simulation of dynamic mathematical models have been the focus of intensive research for well over 60 years, and the demand for better and more ef?cient methods has grown as the range of applications has increased. Mathematical models involving evolutionary partial differential equations (PDEs) as well as ordinary differential equations (ODEs) arise in many diverse applica--tions such as ?uid ?ow, image processing and computer vision, physics based animation, mechanical systems, relativity, earth ...
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Methods for the numerical simulation of dynamic mathematical models have been the focus of intensive research for well over 60 years, and the demand for better and more ef?cient methods has grown as the range of applications has increased. Mathematical models involving evolutionary partial differential equations (PDEs) as well as ordinary differential equations (ODEs) arise in many diverse applica--tions such as ?uid ?ow, image processing and computer vision, physics based animation, mechanical systems, relativity, earth sciences, and mathematical ?nance. This textbook develops, analyzes, and applies numerical methods for evolutionary, or time-dependent, differential problems. Both partial and ordinary differential equations are discussed from a unified viewpoint. The author emphasizes finite difference and finite volume methods, specifically their principled derivation, stability, accuracy, efficient implementation, and practical performance in various fields of science and engineering. Smooth and nonsmooth solutions for hyperbolic PDEs, parabolic type PDEs, and initial value ODEs are treated, and a practical introduction to geometric integration methods is included as well. The author bridges theory and practice by developing algorithms, concepts, and analysis from basic principles while discussing efficiency and performance issues and demonstrating methods through examples and case studies from a variety of application areas.
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Add this copy of Numerical Methods for Evolutionary Differential to cart. $104.27, very good condition, Sold by Jenson Books Inc rated 4.0 out of 5 stars, ships from Logan, UT, UNITED STATES, published 2008 by Society for Industrial and Applied Mathematics (SIAM).
Edition:
2008, Society for Industrial and Applied Mathematics (SIAM)
Publisher:
Society for Industrial and Applied Mathematics (SIAM)
Published:
2008
Language:
English
Alibris ID:
18207555931
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Seller's Description:
Very good. A well-cared-for item that has seen limited use but remains in great condition. The item is complete, unmarked, and undamaged, but may show some limited signs of wear. Item works perfectly. Pages are intact and not marred by notes or highlighting. The spine is undamaged.
Add this copy of Numerical Methods for Evolutionary Differential to cart. $148.26, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2008 by Society for Industrial and App.
Edition:
2008, Society for Industrial and Applied Mathematics (SIAM)
