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 61 articles )

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  1. Burger, Martin; Pietschmann, Jan-Frederik: Flow characteristics in a crowded transport model (2016)
  2. Drawert, Brian; Trogdon, Michael; Toor, Salman; Petzold, Linda; Hellander, Andreas: MOLNs: a cloud platform for interactive, reproducible, and scalable spatial stochastic computational experiments in systems biology using pyurdme (2016)
  3. Krause, Rolf; Zulian, Patrick: A parallel approach to the variational transfer of discrete fields between arbitrarily distributed unstructured finite element meshes (2016)
  4. Lange, Michael; Mitchell, Lawrence; Knepley, Matthew G.; Gorman, Gerard J.: Efficient mesh management in firedrake using PETSc DMPlex (2016)
  5. Milk, René; Rave, Stephan; Schindler, Felix: PyMOR -- generic algorithms and interfaces for model order reduction (2016)
  6. Ptashnyk, Mariya; Seguin, Brian: Homogenization of a system of elastic and reaction-diffusion equations modelling plant cell wall biomechanics (2016)
  7. Zampini, Stefano: PCBDDC: a class of robust dual-primal methods in PETSc (2016)
  8. Bakhos, Tania; Saibaba, Arvind K.; Kitanidis, Peter K.: A fast algorithm for parabolic PDE-based inverse problems based on Laplace transforms and flexible Krylov solvers (2015)
  9. Bürg, Markus; Nazarov, Murtazo: Goal-oriented adaptive finite element methods for elliptic problems revisited (2015)
  10. Burman, Erik; Claus, Susanne; Massing, André: A stabilized cut finite element method for the three field Stokes problem (2015)
  11. De Staelen, R.H.; Van Bockstal, K.; Slodička, M.: Error analysis in the reconstruction of a convolution kernel in a semilinear parabolic problem with integral overdetermination (2015)
  12. Li, Jiao; Xie, Dexuan: An effective minimization protocol for solving a size-modified Poisson-Boltzmann equation for biomolecule in ionic solvent (2015)
  13. Rhebergen, Sander; Wells, Garth N.; Wathen, Andrew J.; Katz, Richard F.: Three-field block preconditioners for models of coupled magma/mantle dynamics (2015)
  14. Saibaba, Arvind K.; Kilmer, Misha; Miller, Eric L.; Fantini, Sergio: Fast algorithms for hyperspectral diffuse optical tomography (2015)
  15. Alnæs, Martin S.; Logg, Anders; Ølgaard, Kristian B.; Rognes, Marie E.; Wells, Garth N.: Unified form language: a domain-specific language for weak formulations of partial differential equations (2014)
  16. Bauer, Martin; Bruveris, Martins; Marsland, Stephen; Michor, Peter W.: Constructing reparameterization invariant metrics on spaces of plane curves (2014)
  17. Clason, Christian; Kunisch, Karl: Multi-bang control of elliptic systems (2014)
  18. Farrell, P.E.; Cotter, C.J.; Funke, S.W.: A framework for the automation of generalized stability theory (2014)
  19. Jiang, Yi; Ying, Jinyong; Xie, Dexuan: A Poisson-Boltzmann equation test model for protein in spherical solute region and its applications (2014)
  20. Massing, André; Larson, Mats G.; Logg, Anders; Rognes, Marie E.: A stabilized Nitsche overlapping mesh method for the Stokes problem (2014)

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