Getfem++

The Getfem project focuses on the development of a generic and efficient library for finite element methods. The library can be used from C++, Python, and Matlab. The library includes numerous Finite Elements and associated tools such as assembly procedures for classical problems, interpolation methods, computation of norms, mesh operations (including automatic refinement), boundary conditions, post-processing, and more. Numerous examples are provided. (Source: http://freecode.com/)


References in zbMATH (referenced in 64 articles , 1 standard article )

Showing results 1 to 20 of 64.
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  1. Générau, François; Oudet, Edouard; Velichkov, Bozhidar: Numerical computation of the cut locus via a variational approximation of the distance function (2022)
  2. Bluhm, Gore Lukas; Sigmund, Ole; Poulios, Konstantinos: Internal contact modeling for finite strain topology optimization (2021)
  3. Gustafsson, Tom; Stenberg, Rolf; Videman, Juha: Nitsche’s method for Kirchhoff plates (2021)
  4. Haubner, J.; Siebenborn, M.; Ulbrich, M.: A continuous perspective on shape optimization via domain transformations (2021)
  5. Onyshkevych, Sofiya; Siebenborn, Martin: Mesh quality preserving shape optimization using nonlinear extension operators (2021)
  6. Renard, Yves; Poulios, Konstantinos: GetFEM. Automated FE modeling of multiphysics problems based on a generic weak form language (2021)
  7. Slak, Jure; Kosec, Gregor: Medusa. A C++ library for solving PDEs using strong form mesh-free methods (2021)
  8. Matteo Giacomini, Ruben Sevilla, Antonio Huerta: HDGlab: An open-source implementation of the hybridisable discontinuous Galerkin method in MATLAB (2020) arXiv
  9. Tom Gustafsson; G. D. McBain: scikit-fem: A Python package for finite element assembly (2020) not zbMATH
  10. Court, Sébastien: A fictitious domain approach for a mixed finite element method solving the two-phase Stokes problem with surface tension forces (2019)
  11. Dabaghi, F.; Krejčí, P.; Petrov, A.; Pousin, J.; Renard, Y.: A weighted finite element mass redistribution method for dynamic contact problems (2019)
  12. Etling, Tommy; Herzog, Roland; Siebenborn, Martin: Optimum experimental design for interface identification problems (2019)
  13. Kirby, Robert C.; Mitchell, Lawrence: Code generation for generally mapped finite elements (2019)
  14. Perrussel, Artem Napov Ronan: Revisiting aggregation-based multigrid for edge elements (2019)
  15. Colin, Thierry; Dechristé, Guillaume; Fehrenbach, Jérôme; Guillaume, Ludivine; Lobjois, Valérie; Poignard, Clair: Experimental estimation of stored stress within spherical microtissues, what can and cannot be inferred from cutting experiments (2018)
  16. Poulios, Konstantinos; Vølund, Anders; Klit, Peder: Finite element method for starved hydrodynamic lubrication with film separation and free surface effects (2018)
  17. Walker, Shawn W.: FELICITY: a Matlab/C++ toolbox for developing finite element methods and simulation modeling (2018)
  18. Airiau, Christophe; Buchot, Jean-Marie; Dubey, Ritesh Kumar; Fournié, Michel; Raymond, Jean-Pierre; Weller-Calvo, Jessie: Stabilization and best actuator location for the Navier-Stokes equations (2017)
  19. Lehrenfeld, Christoph; Reusken, Arnold: High order unfitted finite element methods for interface problems and PDEs on surfaces (2017)
  20. Nunez, Michael D.; Vandekerckhove, Joachim; Srinivasan, Ramesh: How attention influences perceptual decision making: single-trial EEG correlates of drift-diffusion model parameters (2017)

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