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 133 articles , 1 standard article )

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  1. Cuvelier, François; Japhet, Caroline; Scarella, Gilles: An efficient way to assemble finite element matrices in vector languages (2016)
  2. Feng, Xinzeng; Hui, Chung-Yuen: Force sensing using 3D displacement measurements in linear elastic bodies (2016)
  3. Gao, Huadong; Sun, Weiwei: A new mixed formulation and efficient numerical solution of Ginzburg-Landau equations under the temporal gauge (2016)
  4. Geiersbach, Caroline; Heitzinger, Clemens; Tulzer, Gerhard: Optimal approximation of the first-order corrector in multiscale stochastic elliptic PDE (2016)
  5. 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)
  6. Homolya, M.; Ham, D.A.: A parallel edge orientation algorithm for quadrilateral meshes (2016)
  7. Kashiwabara, Takahito; Oikawa, Issei; Zhou, Guanyu: Penalty method with P1/P1 finite element approximation for the Stokes equations under the slip boundary condition (2016)
  8. Lange, Michael; Mitchell, Lawrence; Knepley, Matthew G.; Gorman, Gerard J.: Efficient mesh management in firedrake using PETSc DMPlex (2016)
  9. Mueller, Jens-Dominik: Essentials of computational fluid dynamics (2016)
  10. Nguyen, Vinh Phu; Nguyen, Chi Thanh; Bordas, Stéphane; Heidarpour, Amin: Modelling interfacial cracking with non-matching cohesive interface elements (2016)
  11. Niemi, Antti H.: Benchmark computations of stresses in a spherical dome with shell finite elements (2016)
  12. Nürnberg, Robert; Sacconi, Andrea: A fitted finite element method for the numerical approximation of void electro-stress migration (2016)
  13. Pérez Zerpa, Jorge M.; Canelas, Alfredo: Efficient formulations of the material identification problem using full-field measurements (2016)
  14. Römer, Ulrich; Schöps, Sebastian; Weiland, Thomas: Stochastic modeling and regularity of the nonlinear elliptic curl-curl equation (2016)
  15. Vidal-Ferràndiz, A.; Fayez, R.; Ginestar, D.; Verdú, G.: Moving meshes to solve the time-dependent neutron diffusion equation in hexagonal geometry (2016)
  16. Zhang, Hong; Sandu, Adrian; Blaise, Sébastien: High order implicit-explicit general linear methods with optimized stability regions (2016)
  17. Abushaikha, Ahmad S.; Blunt, Martin J.; Gosselin, Olivier R.; Pain, Christopher C.; Jackson, Matthew D.: Interface control volume finite element method for modelling multi-phase fluid flow in highly heterogeneous and fractured reservoirs (2015)
  18. Casoni, E.; Jérusalem, A.; Samaniego, C.; Eguzkitza, B.; Lafortune, P.; Tjahjanto, D.D.; Sáez, X.; Houzeaux, G.; Vázquez, M.: Alya: computational solid mechanics for supercomputers (2015)
  19. El Bouajaji, M.; Thierry, B.; Antoine, X.; Geuzaine, C.: A quasi-optimal domain decomposition algorithm for the time-harmonic Maxwell’s equations (2015)
  20. Farrell, P.E.; Birkisson, Á.; Funke, S.W.: Deflation techniques for finding distinct solutions of nonlinear partial differential equations (2015)

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