FEniCS

The FEniCS Project is a collaborative project for the development of innovative concepts and tools for automated scientific computing, with a particular focus on automated solution of differential equations by finite element methods. FEniCS has an extensive list of features for automated, efficient solution of differential equations, including automated solution of variational problems, automated error control and adaptivity, a comprehensive library of finite elements, high performance linear algebra and many more.


References in zbMATH (referenced in 244 articles , 2 standard articles )

Showing results 1 to 20 of 244.
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  1. Attia, Ahmed; Alexanderian, Alen; Saibaba, Arvind K.: Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems (2018)
  2. Badia, Santiago; Martín, Alberto F.; Principe, Javier: FEMPAR: an object-oriented parallel finite element framework (2018)
  3. Bal, Guillaume; Hoffmann, Kristoffer; Knudsen, Kim: Propagation of singularities for linearised hybrid data impedance tomography (2018)
  4. Bänsch, E.; Karakatsani, F.; Makridakis, C. G.: A posteriori error estimates for fully discrete schemes for the time dependent Stokes problem (2018)
  5. Baumann, Manuel; Benner, Peter; Heiland, Jan: Space-time Galerkin POD with application in optimal control of semilinear partial differential equations (2018)
  6. Boon, Wietse M.; Nordbotten, Jan M.; Yotov, Ivan: Robust discretization of flow in fractured porous media (2018)
  7. Bousquet, Arthur; Hu, Xiaozhe; Metti, Maximilian S.; Xu, Jinchao: Newton solvers for drift-diffusion and electrokinetic equations (2018)
  8. Chaudhry, Jehanzeb H.: A posteriori analysis and efficient refinement strategies for the Poisson-Boltzmann equation (2018)
  9. de Hoop, Maarten V.; Kepley, Paul; Oksanen, Lauri: An exact redatuming procedure for the inverse boundary value problem for the wave equation (2018)
  10. Etling, Tommy; Herzog, Roland: Optimum experimental design by shape optimization of specimens in linear elasticity (2018)
  11. Froese, Brittany D.: Meshfree finite difference approximations for functions of the eigenvalues of the Hessian (2018)
  12. Fumagalli, Ivan; Parolini, Nicola; Verani, Marco: On a free-surface problem with moving contact line: from variational principles to stable numerical approximations (2018)
  13. Gao, Huadong; Sun, Weiwei: Analysis of linearized Galerkin-mixed FEMs for the time-dependent Ginzburg-Landau equations of superconductivity (2018)
  14. Garcia, D.; Ghommem, M.; Collier, N.; Varga, B. O. N.; Calo, V. M.: PyFly: a fast, portable aerodynamics simulator (2018)
  15. Homolya, Miklós; Mitchell, Lawrence; Luporini, Fabio; Ham, David A.: TSFC: a structure-preserving form compiler (2018)
  16. Houston, Paul; Sime, Nathan: Automatic symbolic computation for discontinuous Galerkin finite element methods (2018)
  17. Karl, Veronika; Wachsmuth, Daniel: An augmented Lagrange method for elliptic state constrained optimal control problems (2018)
  18. Kotyczka, Paul; Maschke, Bernhard; Lefèvre, Laurent: Weak form of Stokes-Dirac structures and geometric discretization of port-Hamiltonian systems (2018)
  19. Kruse, Florian; Kunisch, Karl: Total variation regularization of multi-material topology optimization (2018)
  20. Lenders, Felix; Kirches, C.; Potschka, A.: trlib: a vector-free implementation of the GLTR method for iterative solution of the trust region problem (2018)

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Further publications can be found at: http://fenicsproject.org/citing/