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Titlebook: New Challenges in Grid Generation and Adaptivity for Scientific Computing; Simona Perotto,Luca Formaggia Book 2015 Springer International

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A Curvature-Adapted Anisotropic Surface Re-meshing Method,oi parallel linear enumeration. In: Proceedings of the 21st International Meshing Roundtable, pp. 349–366. Springer, New York, 2013), by allowing to preserve sharp features. The reliability and robustness of the proposed re-meshing technique is shown via a number of examples.
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Enhanced Viscous Mesh Generation with Metric-Based Blending,eneration are presented. Results are presented that demonstrate the overall approach in the context of blending between the near body pseudo-structured region and the outer tetrahedral field region. These results point out that the metric-based transition can be used to improve mesh quality and dens
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Anisotropic Mesh and Time Step Adaptivity for Solute Transport Modeling in Porous Media,ck. The accuracy and the efficiency of the methodology are discussed and numerical results are compared with those associated with fixed uniform space-time discretizations. This assessment shows that the proposed approach is robust and reliable. In particular, it allows us to obtain a significant im
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A 2D Topology-Adaptive Mesh Deformation Framework for Mesh Warping,ove element shape. Edge swaps are then performed to further improve the mesh quality. A final mesh smoothing pass is then performed. Our numerical results show that our framework can be used to generate high quality meshes with no inverted elements for very large deformations. In particular, the add
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ook by S. Borak, W. Härdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4..“Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.”.978-3-642-16521-4Series ISSN 0172-5939 Series E-ISSN 2191-6675
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Marco Artina,Massimo Fornasier,Stefano Micheletti,Simona Perottoook by S. Borak, W. Härdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4..“Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.”.978-3-642-16521-4Series ISSN 0172-5939 Series E-ISSN 2191-6675
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