Numerical Methods for Partial Differential Equations
Academic Press Inc (Verlag)
978-0-12-849894-1 (ISBN)
For practical reasons, the finite element method, used more often for solving problems in solid mechanics, and covered extensively in various other texts, has been excluded. The book is intended for beginning graduate students and early career professionals, although advanced undergraduate students may find it equally useful.
The material is meant to serve as a prerequisite for students who might go on to take additional courses in computational mechanics, computational fluid dynamics, or computational electromagnetics. The notations, language, and technical jargon used in the book can be easily understood by scientists and engineers who may not have had graduate-level applied mathematics or computer science courses.
Sandip Mazumder received his PhD from the Pennsylvania State University, and is currently Professor at The Ohio State University. His research in radiation has primarily involved developing efficient methods for solving the radiative transfer equation and coupling it to other modes of heat transfer for practical applications. Dr. Mazumder was employed at CFD Research Corporation for 7 years prior to joining Ohio State in 2004. He is the recipient of the McCarthy teaching award and the Lumley research award from the Ohio State College of Engineering, among other awards, and is a fellow of the ASME.
1. Introduction to Numerical Methods for Solving Differential Equations2. The Finite Difference Method (FDM)3. Solution to System of Linear Algebraic Equations4. Stability and Convergence of Iterative Solvers5. Treatment of Time Derivative (Parabolic and Hyperbolic PDEs)6. The Finite Volume Method (FVM)7. Unstructured Finite Volume Method8. Miscellaneous Topics
AppendixA: Useful Relationships in Matrix AlgebraB: Useful Relationships in Vector CalculusC: Tensor Notations and Useful Relationships
Erscheint lt. Verlag | 16.12.2015 |
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Verlagsort | San Diego |
Sprache | englisch |
Maße | 191 x 235 mm |
Gewicht | 1000 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
Technik ► Maschinenbau | |
ISBN-10 | 0-12-849894-3 / 0128498943 |
ISBN-13 | 978-0-12-849894-1 / 9780128498941 |
Zustand | Neuware |
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