The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational
Solution of partial differential equations on vector and parallel computers
โ Scribed by James M. Ortega, Robert G. Voigt
- Book ID
- 127456179
- Publisher
- Society for Industrial Mathematics
- Year
- 1987
- Tongue
- English
- Weight
- 1 MB
- Edition
- SIAM
- Category
- Library
- ISBN
- 0898710553
No coin nor oath required. For personal study only.
โฆ Synopsis
This volume reviews, in the context of partial differential equations, algorithm development that has been specifically aimed at computers that exhibit some form of parallelism. Emphasis is on the solution of PDEs because these are typically the problems that generate high computational demands. The authors discuss architectural features of these computers insomuch as they influence algorithm performance, and provide insight into algorithm characteristics that allow effective use of hardware.
Both direct and indirect methods are given for elliptic equations as well as explicit and implicit methods for initial boundary-value problems. The intent is to point out attractive methods as well as areas where this class of computer architecture cannot be fully utilized because of either hardware restrictions or the lack of adequate algorithms.
๐ SIMILAR VOLUMES