Proceedings of the 19th International Meshing Roundtable 2010
DOI: 10.1007/978-3-642-15414-0_2
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Q-TRAN: A New Approach to Transform Triangular Meshes into Quadrilateral Meshes Locally

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Cited by 7 publications
(6 citation statements)
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“…In this sense, they can also be classified as outside-inside methods. Reference [61] proposes a local method based on edge classification to transform triangular surface meshes into quadrilateral ones. On the contrary, in reference [62] a graph-based method to to combine triangles into quadrilateral elements using the Blossom algorithm.…”
Section: Indirect Methodsmentioning
confidence: 99%
“…In this sense, they can also be classified as outside-inside methods. Reference [61] proposes a local method based on edge classification to transform triangular surface meshes into quadrilateral ones. On the contrary, in reference [62] a graph-based method to to combine triangles into quadrilateral elements using the Blossom algorithm.…”
Section: Indirect Methodsmentioning
confidence: 99%
“…However, Q-Morph requires topological cleanup and smoothing to guarantee the quality of the final all-quad mesh. Q-Tran [14] is another indirect algorithm that produces quadrilaterals with provably-good quality without a smoothing post-processing step, and manages to handle domain boundaries. Nevertheless, the class of indirect methods typically suffers from a large number of irregular nodes that are connected to more (or less) than four mesh elements, which is typically undesired in several numerical simulations.…”
Section: Introductionmentioning
confidence: 99%
“…However, Q-Morph requires topological cleanup and smoothing to guarantee the quality of the final all-quad mesh. Q-Tran [15] is another indirect algorithm that produces quadrilaterals with provably-good quality without a smoothing post-processing step, and manages to handle domain boundaries. Nevertheless, the class of indirect methods typically suffers from a large number of irregular nodes that are connected to more (or less) than four mesh elements, which is typically undesired in several numerical simulations.…”
Section: Introductionmentioning
confidence: 99%