DOLFIN

DOLFIN is a C++/Python library that functions as the main user interface of FEniCS. A large part of the functionality of FEniCS is implemented as part of DOLFIN. It provides a problem solving environment for models based on partial differential equations and implements core parts of the functionality of FEniCS, including data structures and algorithms for computational meshes and finite element assembly. To provide a simple and consistent user interface, DOLFIN wraps the functionality of other FEniCS components and external software, and handles the communication between these components.


References in zbMATH (referenced in 134 articles , 1 standard article )

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  1. Lanzendörfer, M.; Hron, J.: On multiple solutions to the steady flow of incompressible fluids subject to do-nothing or constant traction boundary conditions on artificial boundaries (2020)
  2. Li, Jiao; Ying, Jinyong: A simple and efficient technique to accelerate the computation of a nonlocal dielectric model for electrostatics of biomolecule (2020)
  3. Adesokan, Bolaji James; Jensen, Bjørn; Jin, Bangti; Knudsen, Kim: Acousto-electric tomography with total variation regularization (2019)
  4. Benn, James; Marsland, Stephen; McLachlan, Robert I.; Modin, Klas; Verdier, Olivier: Currents and finite elements as tools for shape space (2019)
  5. Crestel, Benjamin; Stadler, Georg; Ghattas, Omar: A comparative study of structural similarity and regularization for joint inverse problems governed by PDEs (2019)
  6. Dokken, Jørgen S.; Funke, Simon W.; Johansson, August; Schmidt, Stephan: Shape optimization using the finite element method on multiple meshes with Nitsche coupling (2019)
  7. Farrell, P. E.; Hake, J. E.; Funke, S. W.; Rognes, M. E.: Automated adjoints of coupled PDE-ODE systems (2019)
  8. Gibson, Thomas H.; McRae, Andrew T. T.; Cotter, Colin J.; Mitchell, Lawrence; Ham, David A.: Compatible finite element methods for geophysical flows. Automation and implementation using Firedrake (2019)
  9. Jakob M. Maljaars, Chris N. Richardson, Nathan Sime: LEoPart: a particle library for FEniCS (2019) arXiv
  10. Kanzow, C.; Karl, Veronika; Steck, Daniel; Wachsmuth, Daniel: The multiplier-penalty method for generalized Nash equilibrium problems in Banach spaces (2019)
  11. Rickert, Wilhelm; Glane, Sebastian: Cavity flow of a micropolar fluid -- a parameter study (2019)
  12. Van Bockstal, Karel: Identification of an unknown spatial load distribution in a vibrating beam or plate from the final state (2019)
  13. Amann, Dominic; Kalimeris, Konstantinos: Numerical approximation of water waves through a deterministic algorithm (2018)
  14. Chaudhry, Jehanzeb H.: A posteriori analysis and efficient refinement strategies for the Poisson-Boltzmann equation (2018)
  15. Clason, Christian; Do, Thi Bich Tram; Pörner, Frank: Error estimates for the approximation of multibang control problems (2018)
  16. Clason, Christian; Kruse, Florian; Kunisch, Karl: Total variation regularization of multi-material topology optimization (2018)
  17. Creech, Angus C. W.; Jackson, Adrian; Maddison, James R.: Adapting and optimising fluidity for high-fidelity coastal modelling (2018)
  18. Fumagalli, Ivan; Parolini, Nicola; Verani, Marco: On a free-surface problem with moving contact line: from variational principles to stable numerical approximations (2018)
  19. Huber, Markus; Rüde, Ulrich; Waluga, Christian; Wohlmuth, Barbara: Surface couplings for subdomain-wise isoviscous gradient based Stokes finite element discretizations (2018)
  20. Kang, T.; Van Bockstal, K.; Wang, R.: The reconstruction of a time-dependent source from a surface measurement for full Maxwell’s equations by means of the potential field method (2018)

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