A comparison of optimization software for mesh shape-quality improvement problems.
Conference
·
OSTI ID:801627
Simplicial mesh shape-quality can be improved by optimizing an objective function based on tetrahedral shape measures. If the objective function is formulated in terms of all elements in a given mesh rather than a local patch, one is confronted with a large-scale, nonlinear, constrained numerical optimization problem. We investigate the use of six general-purpose state-of-the-art solvers and two custom-developed methods to solve the resulting large-scale problem. The performance of each method is evaluated in terms of robustness, time to solution, convergence properties, and scalability on several two- and three-dimensional test cases.
- Research Organization:
- Argonne National Lab., IL (US)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- W-31-109-ENG-38
- OSTI ID:
- 801627
- Report Number(s):
- ANL/MCS/CP-108483; TRN: US200223%%194
- Resource Relation:
- Conference: 11th International Meshing Roundtable, Ithaca, NY (US), 09/15/2002--09/18/2002; Other Information: PBD: 19 Aug 2002
- Country of Publication:
- United States
- Language:
- English
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