MESQUITE is a linkable software library that applies a variety of node-movement algorithms to improve the quality and/or adapt a given mesh. Mesquite uses advanced smoothing and optimization to: Untangle meshes, Provide local size control, Improve angles, orthogonality, and skew, Increase minimum edge-lengths for increased time-steps, Improve mesh smoothness, Perform anisotropic smoothing, Improve surface meshes, adapt to surface curvature, Improve hybrid meshes (including pyramids & wedges), Smooth meshes with hanging nodes, Maintain quality of moving and/or deforming meshes, Perform ALE rezoning, Improve mesh quality on and near boundaries, Improve transitions across internal boundaries, Align meshes with vector fields, and R-adapt meshes to solutions using error estimates. Mesquite improves surface or volume meshes which are structured, unstructured, hybrid, or non-comformal. A variety of element types are permitted. Mesquite is designed to be as efficient as possible so that large meshes can be improved.

References in zbMATH (referenced in 37 articles )

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  1. Guo, Yufei; Wang, Chuanrui; Ma, Zhe; Huang, Xuhui; Sun, Kewu; Zhao, Rongli: A new mesh smoothing method based on a neural network (2022)
  2. Ramsharan Rangarajan; Adrian Lew: DVRlib: A C++ library for geometric mesh improvement using Directional Vertex Relaxation (2020) not zbMATH
  3. Benitez, D.; Escobar, J. M.; Montenegro, R.; Rodriguez, E.: Parallel performance model for vertex repositioning algorithms and application to mesh partitioning (2019)
  4. Benitez, Domingo; Escobar, J. M.; Montenegro, R.; Rodriguez, E.: Performance comparison and workload analysis of mesh untangling and smoothing algorithms (2019)
  5. Lee, Eun-Kyu; Shin, Myeonggyu; Kim, Jibum: Improved simultaneous mesh untangling and quality improvement methods of 2D triangular meshes (2019)
  6. Zint, Daniel; Grosso, Roberto: Discrete mesh optimization on GPU (2019)
  7. Kim, Jibum: An iterative mesh untangling algorithm using edge flip (2017)
  8. Rangarajan, Ramsharan; Lew, Adrian J.: Provably robust directional vertex relaxation for geometric mesh optimization (2017)
  9. Vartziotis, Dimitris; Bohnet, Doris: A geometric mesh smoothing algorithm related to damped oscillations (2017)
  10. Kim, Jibum: A multiobjective mesh optimization algorithm for improving the solution accuracy of PDE computations (2016)
  11. Dieter-Kissling, Kathrin; Marschall, Holger; Bothe, Dieter: Numerical method for coupled interfacial surfactant transport on dynamic surface meshes of general topology (2015)
  12. Fogg, Harold J.; Armstrong, Cecil G.; Robinson, Trevor T.: Automatic generation of multiblock decompositions of surfaces (2015)
  13. Fu, Xiao-Ming; Liu, Yang; Guo, Baining: Computing locally injective mappings by advanced MIPS (2015)
  14. Gao, Xifeng; Deng, Zhigang; Chen, Guoning: Hexahedral mesh re-parameterization from aligned base-complex (2015)
  15. Kim, Jibum; Shin, Myeonggyu; Kang, Woochul: A derivative-free mesh optimization algorithm for mesh quality improvement and untangling (2015)
  16. Menon, Sandeep; Mooney, Kyle G.; Stapf, K. G.; Schmidt, David P.: Parallel adaptive simplical re-meshing for deforming domain CFD computations (2015)
  17. Renka, Robert J.: Mesh improvement by minimizing a weighted sum of squared element volumes (2015)
  18. Kim, Jibum: An efficient approach for solving mesh optimization problems using Newton’s method (2014)
  19. Kim, Jibum; Panitanarak, Thap; Shontz, Suzanne M.: A multiobjective mesh optimization framework for mesh quality improvement and mesh untangling (2013)
  20. Gao, Zhanheng; Yu, Zeyun; Holst, Michael: Quality tetrahedral mesh smoothing via boundary-optimized Delaunay triangulation (2012)

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