Convection Diffusion Problems: An Introduction to Their Analysis and Numerical Solution (Graduate Studies in Mathematics)

Martin Stynes; David Stynes

ISBN 10: 1470448688 / ISBN 13: 9781470448684

Published by American Mathematical Society, 2018

About this Item

Seller Inventory # 26382660465

Bibliographic Details

• Title: Convection Diffusion Problems: An Introduction to Their Analysis and Numerical Solution (Graduate Studies in Mathematics)
• Publisher: American Mathematical Society
• Publication Date: 2018
• Language: English
• ISBN 10: 1470448688
• ISBN 13: 9781470448684
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Many physical problems involve diffusive and convective (transport) processes. When diffusion dominates convection, standard numerical methods work satisfactorily. But when convection dominates diffusion, the standard methods become unstable, and special techniques are needed to compute accurate numerical approximations of the unknown solution. This convection-dominated regime is the focus of the book. After discussing at length the nature of solutions to convection-dominated convection-diffusion problems, the authors motivate and design numerical methods that are particularly suited to this class of problems. At first they examine finite-difference methods for two-point boundary value problems, as their analysis requires little theoretical background. Upwinding, artificial diffusion, uniformly convergent methods, and Shishkin meshes are some of the topics presented. Throughout, the authors are concerned with the accuracy of solutions when the diffusion coefficient is close to zero. Later in the book they concentrate on finite element methods for problems posed in one and two dimensions. This lucid yet thorough account of convection-dominated convection-diffusion problems and how to solve them numerically is meant for beginning graduate students, and it includes a large number of exercises. An up-to-date bibliography provides the reader with further reading.

About the Author

Martin Stynes: Beijing Computational Science Research Center, Beijing, China, David Stynes: Cork Institute of Technology, Cork, Ireland