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Visualization of multi-scale data sets in a self-organized criticality sandpile model
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UNSPECIFIED (2000) Visualization of multi-scale data sets in a self-organized criticality sandpile model. In: 7th Annual PDC Conference on Simulation and Visualization on the Grid, DEC, 1999, STOCKHOLM, SWEDEN.
Full text not available from this repository.Abstract
Generic methods for the description of a complex system are sandpile (avalanche models), cellular automata, and couple map lattice (CML). The emergent phenomenology of these is broadband, but it is represented on a-finite grid. To study the three-dimensional evolution of a CML model of a sandpile as a function of control parameters, a semi-immersive VR environment has been used. Sandpile profiles are calculated in real time and are superimposed over the color grid that represents one of the control parameters. This represents a generic problem of visualizing multi-scale structures in data sets derived from nonlinear systems. The software modules were developed in OpenGL and Glut library and will ultimately be implemented in semi-immersive VR on an ImmersaDesk. To achieve sufficient speed in real-time display, the full data set is represented graphically in a compact form.
| Item Type: | Conference Item (UNSPECIFIED) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
| Series Name: | LECTURE NOTES IN COMPUTATIONAL SCIENCE AND ENGINEERING |
| Journal or Publication Title: | SIMULATION AND VISUALIZATION ON THE GRID, PROCEEDINGS |
| Publisher: | SPRINGER-VERLAG BERLIN |
| ISBN: | 3-540-67264-8 |
| ISSN: | 1439-7358 |
| Editor: | Griebel, M and Johnsson, L and Hammill, M and Short, F |
| Date: | 2000 |
| Volume: | 13 |
| Number of Pages: | 8 |
| Page Range: | 235-+ |
| Publication Status: | Published |
| Title of Event: | 7th Annual PDC Conference on Simulation and Visualization on the Grid |
| Location of Event: | STOCKHOLM, SWEDEN |
| Date(s) of Event: | DEC, 1999 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/12688 |
Data sourced from Thomson Reuters' Web of Knowledge
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