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 161 articles , 1 standard article )

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  1. Kamensky, David: Open-source immersogeometric analysis of fluid-structure interaction using FEniCS and tIGAr (2021)
  2. Sebastian Blauth: cashocs: A Computational, Adjoint-Based Shape Optimization and Optimal Control Software (2021) not zbMATH
  3. Zhu, Qiming; Yan, Jinhui: A moving-domain CFD solver in FEniCS with applications to tidal turbine simulations in turbulent flows (2021)
  4. Alberto Paganini, Florian Wechsung: Fireshape: a shape optimization toolbox for Firedrake (2020) arXiv
  5. Bartels, Sören; Wachsmuth, Gerd: Numerical approximation of optimal convex shapes (2020)
  6. Bazilevs, Yuri; Kamensky, David; Moutsanidis, Georgios; Shende, Shaunak: Residual-based shock capturing in solids (2020)
  7. Bin Zubair Syed, H.; Farquharson, C.; MacLachlan, S.: Block preconditioning techniques for geophysical electromagnetics (2020)
  8. Chebotarev, A. Yu.; Mesenev, P. R.: An algorithm for solving the boundary value problem of radiation heat transfer without boundary conditions for radiation intensity (2020)
  9. Evans, John A.; Kamensky, David; Bazilevs, Yuri: Variational multiscale modeling with discretely divergence-free subscales (2020)
  10. 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)
  11. Jahandari, Hormoz; MacLachlan, Scott; Haynes, Ronald D.; Madden, Niall: Finite element modelling of geophysical electromagnetic data with goal-oriented (hr)-adaptivity (2020)
  12. Jahn, Mischa; Montalvo-Urquizo, Jonathan: Modeling and simulation of keyhole-based welding as multi-domain problem using the extended finite element method (2020)
  13. 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)
  14. Li, Jiao; Ying, Jinyong: A simple and efficient technique to accelerate the computation of a nonlocal dielectric model for electrostatics of biomolecule (2020)
  15. Linga, Gaute; Bolet, Asger; Mathiesen, Joachim: Transient electrohydrodynamic flow with concentration-dependent fluid properties: modelling and energy-stable numerical schemes (2020)
  16. Adesokan, Bolaji James; Jensen, Bjørn; Jin, Bangti; Knudsen, Kim: Acousto-electric tomography with total variation regularization (2019)
  17. Benn, James; Marsland, Stephen; McLachlan, Robert I.; Modin, Klas; Verdier, Olivier: Currents and finite elements as tools for shape space (2019)
  18. Crestel, Benjamin; Stadler, Georg; Ghattas, Omar: A comparative study of structural similarity and regularization for joint inverse problems governed by PDEs (2019)
  19. Dokken, Jørgen S.; Funke, Simon W.; Johansson, August; Schmidt, Stephan: Shape optimization using the finite element method on multiple meshes with Nitsche coupling (2019)
  20. Farrell, P. E.; Hake, J. E.; Funke, S. W.; Rognes, M. E.: Automated adjoints of coupled PDE-ODE systems (2019)

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