Name
Abstract | ||
|---|---|---|
This article deals with an adaptive-grid finite-difference solver for time-dependent two-dimensional systems of partial differential equations. It describes the ANSI Fortran 77 code, VLUGR2, autovectorizable on the Cray Y-MP, that is based on this method. The robustness and the efficiency of the solver, both for vector and scalar processors, are illustrated by the application of the code to two example problems arising from a groundwater-flow model. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1145/232826.232850 | ACM Trans. Math. Softw. |
Keywords | Field | DocType |
vectorization,adaptive-grid finite-difference solver,scalar processor,nonsymmetric sparse linear systems,partial differential equation,time-dependent two-dimensional system,groundwater-flow model,adaptive-grid methods,cray y-mp,software,partial different equations,ansi fortran,article deal,iterative solvers,example problem,vectorizable adaptive-grid solver,method of lines,finite difference,groundwater flow,difference equation | Mathematical optimization,Scalar processor,Iterative method,Fortran,Method of lines,Solver,Adaptive algorithm,Vector processor,Partial differential equation,Mathematics | Journal |
Volume | Issue | ISSN |
22 | 3 | 0098-3500 |
Citations | PageRank | References |
5 | 2.00 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joke G Blom | 1 | 161 | 23.43 |
| R. A. Trompert | 2 | 11 | 4.00 |
| J. G. Verwer | 3 | 131 | 39.71 |