Häftad, Engelska, 2017
Numerical Solution of Differential Equations
Introduction to Finite Difference and Finite Element Methods
Av Zhilin Li, Zhonghua Qiao, Tao Tang
929 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2017-11-30
- Mått: 174 x 246 x 15 mm
- Vikt: 600 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 300
- Förlag: Cambridge University Press
- ISBN: 9781316615102
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Mer information
Zhilin Li is a tenured full professor at the Center for Scientific Computation and the Department of Mathematics, North Carolina State University. His research area is in applied mathematics in general, particularly in numerical analysis for partial differential equations, moving interface/free boundary problems, irregular domain problems, computational mathematical biology, and scientific computing and simulations for interdisciplinary applications. Li has authored one monograph, The Immersed Interface Method, and also edited several books and proceedings. Zhonghua Qiao is an Assistant Professor in the Department of Applied Mathematics, Hong Kong Polytechnic University. Tao Tang is a Professor in the Department of Mathematics at South University of Science and Technology, China.
Recensioner i media
'The authors of this volume on finite difference and finite element methods provide a sound and complete exposition of these two numerical techniques for solving differential equations. The text is divided into two independent parts, tackling the finite difference and finite element methods separately. The parts offer a balanced mix of theory, application, and examples to offer readers a thorough introduction to the material. They utilize MATLAB programming to provide various codes illustrating the applications and examples. … Overall, the textbook offers a solid introduction to finite difference methods and finite element methods that should be useful to graduate students in mathematics as well as to students in applied and interdisciplinary fields, such as engineering and economics, who need to solve differential equations numerically.' S. L. Sullivan, Choice
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