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 476 articles , 2 standard articles )

Showing results 1 to 20 of 476.
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  1. Ambartsumyan, Ilona; Khattatov, Eldar; Nordbotten, Jan M.; Yotov, Ivan: A multipoint stress mixed finite element method for elasticity on simplicial grids (2020)
  2. Bartels, Sören; Wachsmuth, Gerd: Numerical approximation of optimal convex shapes (2020)
  3. Bazilevs, Yuri; Kamensky, David; Moutsanidis, Georgios; Shende, Shaunak: Residual-based shock capturing in solids (2020)
  4. Bin Zubair Syed, H.; Farquharson, C.; MacLachlan, S.: Block preconditioning techniques for geophysical electromagnetics (2020)
  5. Brewster, Jack; Juniper, Matthew P.: Shape sensitivity of eigenvalues in hydrodynamic stability, with physical interpretation for the flow around a cylinder (2020)
  6. Brunetti, Matteo; Favata, Antonino; Paolone, Achille; Vidoli, Stefano: A mixed variational principle for the Föppl-von Kármán equations (2020)
  7. Calo, Victor M.; Ern, Alexandre; Muga, Ignacio; Rojas, Sergio: An adaptive stabilized conforming finite element method via residual minimization on dual discontinuous Galerkin norms (2020)
  8. Chao, Zhen; Xie, Dexuan; Sameh, Ahmed H.: Preconditioners for nonsymmetric indefinite linear systems (2020)
  9. Constantinescu, Emil M.; Petra, Noémi; Bessac, Julie; Petra, Cosmin G.: Statistical treatment of inverse problems constrained by differential equations-based models with stochastic terms (2020)
  10. DeCaria, Victor; Iliescu, Traian; Layton, William; McLaughlin, Michael; Schneier, Michael: An artificial compression reduced order model (2020)
  11. Degen, Denise; Veroy, Karen; Wellmann, Florian: Certified reduced basis method in geosciences. Addressing the challenge of high-dimensional problems (2020)
  12. Duprez, Michel; Bordas, Stéphane Pierre Alain; Bucki, Marek; Bui, Huu Phuoc; Chouly, Franz; Lleras, Vanessa; Lobos, Claudio; Lozinski, Alexei; Rohan, Pierre-Yves; Tomar, Satyendra: Quantifying discretization errors for soft tissue simulation in computer assisted surgery: a preliminary study (2020)
  13. Etling, Tommy; Herzog, Roland; Loayza, Estefanía; Wachsmuth, Gerd: First and second order shape optimization based on restricted mesh deformations (2020)
  14. Evans, Claire; Pollock, Sara; Rebholz, Leo G.; Xiao, Mengying: A proof that Anderson acceleration improves the convergence rate in linearly converging fixed-point methods (but not in those converging quadratically) (2020)
  15. Evcin, Cansu; Uğur, Ömür; Tezer-Sezgin, Münevver: Controlling the power-law fluid flow and heat transfer under the external magnetic field using the flow index and the Hartmann number (2020)
  16. Farrell, Patrick E.; Gazca-Orozco, P. A.; Süli, Endre: Numerical analysis of unsteady implicitly constituted incompressible fluids: 3-field formulation (2020)
  17. Feng, Yin; Shi, Erxiu; Luo, Yi; Wang, Bin; Zhang, Liehui; Zhao, Yulong: Implementation of streamline simulation based on finite element method in FEniCS (2020)
  18. Grigoriev, Vasiliy V.; Iliev, Oleg; Vabishchevich, Petr N.: Computational identification of adsorption and desorption parameters for pore scale transport in periodic porous media (2020)
  19. Grimmonprez, Marijke; Marin, Liviu; Van Bockstal, Karel: The reconstruction of a solely time-dependent load in a simply supported non-homogeneous Euler-Bernoulli beam (2020)
  20. Guo, Liwei; Vardakis, John C.; Chou, Dean; Ventikos, Yiannis: A multiple-network poroelastic model for biological systems and application to subject-specific modelling of cerebral fluid transport (2020)

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