Wednesday, November 3

Numerical Grid Generation, Adaptive Grids and Partitioning

4:15 PM-6:15 PM
Room: Rio Grande Ballroom

Numerical grid generation is a basic preprocessing step that interfaces with CAD geometric modeling and PDE solution methodology in engineering analysis and design. Grid technology has been enhanced by adaptive mesh refinement/coarsening algorithms with feedback via error indicators computed in the analysis step. The need to solve very large multiphysics applications has led to the further extension of grid capabilities to include algorithms for partitioning unstructured grids for parallel computations and for dynamic load balancing schemes to repartition during adaptive refinement. In this minisymposium we will present recent studies focussing on algorithms and methodology for grid generation, grid quality in automated refinement, grid partitioning and dynamic load balancing.

Organizers: Graham F. Carey
University of Texas, Austin
Robert W. Leland
Sandia National Laboratories, Albuquerque
4:15-4:40 Unstructured Grid Generation
Robert Leland, Organizer
4:45-5:10 Optimizing the Mesh Condition Number
Patrick M. Knupp, Sandia National Laboratories, Albuquerque
5:15-5:40 Some Aspects of Adaptive Grid Refinement
Graham F. Carey, Organizer; Atanas I. Pehlivanov, TICAM, University of Texas, Austin; and Angel Plaza, University of Las Palmas de Gran Canaria, Spain
5:45-6:10 Dynamic Load Balancing of Adaptive Grids
Bruce Hendrickson and Karen Devine, Sandia National Laboratories, Albuquerque

GD99 Home


Program Updates

Speaker Index




Created LMH, 5/18/99; Last Updated MMD, 6/15/99