Solving Partial Differential Equation Applications with PDE2D
Par šo e-grāmatu
Solving Partial Differential Equation Applications with PDE2D derives and solves a range of ordinary and partial differential equation (PDE) applications. This book describes an easy-to-use, general purpose, and time-tested PDE solver developed by the author that can be applied to a wide variety of science and engineering problems. The equations studied include many time-dependent, steady-state and eigenvalue applications such as diffusion, heat conduction and convection, image processing, math finance, fluid flow, and elasticity and quantum mechanics, in one, two, and three space dimensions.
The author begins with some simple "0D" problems that give the reader an opportunity to become familiar with PDE2D before proceeding to more difficult problems. The book ends with the solution of a very difficult nonlinear problem, which requires a moving adaptive grid because the solution has sharp, moving peaks. This important book:
- Describes a finite-element program, PDE2D, developed by the author over the course of 40 years
- Derives the ordinary and partial differential equations, with appropriate initial and boundary conditions, for a wide variety of applications
- Offers free access to the Windows version of the PDE2D software through the author’s website at www.pde2d.com
- Offers free access to the Linux and MacOSX versions of the PDE2D software also, for instructors who adopt the book for their course and contact the author at www.pde2d.com
Written for graduate applied mathematics or computational science classes, Solving Partial Differential Equation Applications with PDE2D offers students the opportunity to actually solve interesting engineering and scientific applications using the accessible PDE2D.
Par autoru
Granville Sewell, PhD, is Professor in the Mathematics department at the University of Texas-El Paso, El Paso, TX. Dr. Sewell is the author of The Numerical Solution of Ordinary and Partial Differential Equations, Second Edition, and Computational Methods of Linear Algebra, Second Edition, both published by Wiley.
