Discrete mesh optimization on GPU
Zint D, Grosso R (2019)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: Springer Verlag
Book Volume: 127
Pages Range: 445-460
Conference Proceedings Title: 27th International Meshing Roundtable
Event location: Albuquerque, NM
ISBN: 9783030139919
DOI: 10.1007/978-3-030-13992-6_24
Abstract
We present an algorithm called discrete mesh optimization (DMO), a greedy approach to topology-consistent mesh quality improvement. The method requires a quality metric for all element types that appear in a given mesh. It is easily adaptable to any mesh and metric as it does not rely on differentiable functions. We give examples for triangle, quadrilateral, and tetrahedral meshes and for various metrics. The method improves quality iteratively by finding the optimal position for each vertex on a discretized domain. We show that DMO outperforms other state of the art methods in terms of convergence and runtime.
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How to cite
APA:
Zint, D., & Grosso, R. (2019). Discrete mesh optimization on GPU. In Adrien Loseille, Xevi Roca (Eds.), 27th International Meshing Roundtable (pp. 445-460). Albuquerque, NM, US: Springer Verlag.
MLA:
Zint, Daniel, and Roberto Grosso. "Discrete mesh optimization on GPU." Proceedings of the 27th International Meshing Roundtable, IMR 2018, Albuquerque, NM Ed. Adrien Loseille, Xevi Roca, Springer Verlag, 2019. 445-460.
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