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Titlebook: Numerical Geometry, Grid Generation and Scientific Computing; Proceedings of the 1 Vladimir A. Garanzha,Lennard Kamenski,Hang Si Conference

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Out-of-core Constrained Delaunay Tetrahedralizations for Large Scenes tetrahedralization algorithms are chosen because they can preserve input triangles. The constrained tetrahedralization algorithms developed so far might suffer from a lack of memory. We propose an out-of-core near Delaunay constrained tetrahedralization algorithm using the divide-and-conquer paradi
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Size Gradation Control for Anisotropic Hybrid Meshest place. This is achieved through the so-called “metric gradation” process, that is the correction of the size growth throughout the mesh. The smallest size prescriptions are spread using a metric intersection algorithm. In this paper, we demonstrate the relevance of size gradation control in metric
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Adjoint Computation on Anisotropic Meshes in High-fidelity RANS Simulationsmplex geometries. In particular, anisotropic mesh adaptation is used to predict accurately dimensionless quantities such as the lift and the drag coefficients, and, in general, functionals depending on the solution field. However, in order to get the optimal adapted mesh with respect to the accuracy
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A Uniform Convergence Analysis for a Bakhvalov-Type Mesh with an Explicitly Defined Transition Pointis well-known for finite-difference methods on Shishkin-type meshes (Roos and Linß in Computing, 63 (1999), 27–45). In this paper, we show that it is also possible to generalize this technique to a modification of the Bakhvalov mesh, such that the transition point between the fine and crude parts of
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Global Parametrization Based on Ginzburg-Landau Functionalenerators proceed in three steps: first a guiding cross field is computed, then a parametrization representing the quads is generated, and finally a mesh is extracted from the parameterization. In this paper we show that in the case of a periodic global parameterization two first steps answer to the
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