Name
Abstract | ||
|---|---|---|
We propose an appropriate and efficient multiresolution visualization method for piecewise higher order polynomial data on locally refined computational grids. Given some suitable error indicators, we efficiently extract a continuous h-p-adaptive projection with respect to any prescribed threshold value for the visual error. This projection can then be processed by various local rendering methods, e.g. color coding of data or isosurface extraction. Especially for color coding purposes modern texture capabilities are used to directly render higher polynomial data by superposition of polynomial basis function textures and final color look-up tables. Numerical experiments from CFD clearly demonstrate the applicability and efficiency of our approach. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/s00607-003-1476-2 | Computing |
Keywords | DocType | Volume |
AMS Subject Classifications: 76M27,65N30,65S05.,Keywords: multiresolution visualization,higher order,adaptive methods,error indicator,finite element. | Journal | 70 |
Issue | ISSN | Citations |
3 | 0010-485X | 9 |
PageRank | References | Authors |
0.71 | 29 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernard Haasdonk | 1 | 338 | 23.45 |
| Mario Ohlberger | 2 | 226 | 24.87 |
| Martin Rumpf | 3 | 230 | 18.97 |
| Alfred Schmidt | 4 | 9 | 0.71 |
| Kunibert G. Siebert | 5 | 471 | 51.43 |