A mesh optimization algorithm based on neural networks
Information Sciences: an International Journal
Evaluating approximations generated by the GNG3D method for mesh simplification
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Error measurements and parameters choice in the GNG3D model for mesh simplification
WSEAS Transactions on Information Science and Applications
Technical Section: Quality encoding for tetrahedral mesh optimization
Computers and Graphics
Finite Elements in Analysis and Design
Robust untangling of curvilinear meshes
Journal of Computational Physics
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We compare inexact Newton and block coordinate descent optimization methods for improving the quality of a mesh by repositioning the vertices, where the overall quality is measured by the harmonic mean of the mean-ratio metric. The effects of problem size, element size heterogeneity, and various vertex displacement schemes on the performance of these algorithms are assessed for a series of tetrahedral meshes.