To understand underlying physical phenomena or to design better devices or processes, experts in various application areas within science and engineering often need to solve partial differential equations numerically. These experts have tremendous knowledge about the physical phenomena they study, b
Knowledge representations for the automatic generation of numerical simulators for PDEs
β Scribed by David Balaban; Joseph Garbarini; William Greiman; Mark Durst
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 806 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0378-4754
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A new approach for analyzing boundary value problems for linear and for integrable nonlinear PDEs was introduced in Fokas [A unified transform method for solving linear and certain nonlinear PDEs, Proc. Roy. Soc. London Ser. A 53 (1997) 1411-1443]. For linear elliptic PDEs, an important aspect of th
Many existing numerical schemes for the solution of initial-boundary value problems for partial differential equations can be derived by the method of lines. The PDEs are converted into a system of ordinary differential equations either with initial conditions (longitudinal scheme) or with boundary