Gmsh

Gmsh is a 3D finite element grid generator with a build-in CAD engine and post-processor. Its design goal is to provide a fast, light and user-friendly meshing tool with parametric input and advanced visualization capabilities. Gmsh is built around four modules: geometry, mesh, solver and post-processing. The specification of any input to these modules is done either interactively using the graphical user interface or in ASCII text files using Gmsh’s own scripting language.


References in zbMATH (referenced in 166 articles , 1 standard article )

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  1. Abali, Bilen Emek: Computational reality. Solving nonlinear and coupled problems in continuum mechanics (2017)
  2. Antil, Harbir; Hardesty, Sean; Heinkenschloss, Matthias: Shape optimization of shell structure acoustics (2017)
  3. Betcke, Timo; van’t Wout, Elwin; Gélat, Pierre: Computationally efficient boundary element methods for high-frequency Helmholtz problems in unbounded domains (2017)
  4. Fan, Wenping; Liu, Fawang; Jiang, Xiaoyun; Turner, Ian: A novel unstructured mesh finite element method for solving the time-space fractional wave equation on a two-dimensional irregular convex domain (2017)
  5. Gao, Huadong; Li, Buyang; Sun, Weiwei: Stability and convergence of fully discrete Galerkin FEMs for the nonlinear thermistor equations in a nonconvex polygon (2017)
  6. Moitinho de Almeida, J. P.; Maunder, Edward A.: Equilibrium finite element formulations (2017)
  7. Bajc, Iztok; Hecht, Frédéric; Žumer, Slobodan: A mesh adaptivity scheme on the Landau-de Gennes functional minimization case in 3D, and its driving efficiency (2016)
  8. Bull, Jonathan R.; Jameson, Antony: Explicit filtering and exact reconstruction of the sub-filter stresses in large eddy simulation (2016)
  9. Chan, Jesse; Wang, Zheng; Modave, Axel; Remacle, Jean-Francois; Warburton, T.: GPU-accelerated discontinuous Galerkin methods on hybrid meshes (2016)
  10. Cuvelier, François; Japhet, Caroline; Scarella, Gilles: An efficient way to assemble finite element matrices in vector languages (2016)
  11. De Corato, M.; Slot, J.J.M.; Hütter, M.; D’Avino, G.; Maffettone, P.L.; Hulsen, M.A.: Finite element formulation of fluctuating hydrodynamics for fluids filled with rigid particles using boundary fitted meshes (2016)
  12. Feng, Xinzeng; Hui, Chung-Yuen: Force sensing using 3D displacement measurements in linear elastic bodies (2016)
  13. Gao, Huadong; Sun, Weiwei: A new mixed formulation and efficient numerical solution of Ginzburg-Landau equations under the temporal gauge (2016)
  14. Geiersbach, Caroline; Heitzinger, Clemens; Tulzer, Gerhard: Optimal approximation of the first-order corrector in multiscale stochastic elliptic PDE (2016)
  15. Guillén-González, F.; Rodríguez Galván, J.R.: On the stability of approximations for the Stokes problem using different finite element spaces for each component of the velocity (2016)
  16. Homolya, M.; Ham, D.A.: A parallel edge orientation algorithm for quadrilateral meshes (2016)
  17. Kashiwabara, Takahito; Oikawa, Issei; Zhou, Guanyu: Penalty method with P1/P1 finite element approximation for the Stokes equations under the slip boundary condition (2016)
  18. Konakli, Katerina; Sudret, Bruno: Polynomial meta-models with canonical low-rank approximations: numerical insights and comparison to sparse polynomial chaos expansions (2016)
  19. Laboure, Vincent M.; McClarren, Ryan G.; Hauck, Cory D.: Implicit filtered $P_N$ for high-energy density thermal radiation transport using discontinuous Galerkin finite elements (2016)
  20. Lange, Michael; Mitchell, Lawrence; Knepley, Matthew G.; Gorman, Gerard J.: Efficient mesh management in firedrake using PETSc DMPlex (2016)

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