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 173 articles , 1 standard article )

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  1. Banjai, Lehel; Lord, Gabriel; Molla, Jeta: Strong convergence of a Verlet integrator for the semilinear stochastic wave equation (2021)
  2. Gajardo, Diego; Mercado, Alberto; Muñoz, Juan Carlos: Identification of the anti-diffusion coefficient for the linear Kuramoto-Sivashinsky equation (2021)
  3. Hapla, Vaclav; Knepley, Matthew G.; Afanasiev, Michael; Boehm, Christian; van Driel, Martin; Krischer, Lion; Fichtner, Andreas: Fully parallel mesh I/O using PETSc DMPlex with an application to waveform modeling (2021)
  4. Kamensky, David: Open-source immersogeometric analysis of fluid-structure interaction using FEniCS and tIGAr (2021)
  5. Potschka, Andreas; Bock, Hans Georg: A sequential homotopy method for mathematical programming problems (2021)
  6. Sebastian Blauth: cashocs: A Computational, Adjoint-Based Shape Optimization and Optimal Control Software (2021) not zbMATH
  7. Wu, Hao; Ying, Jinyong; Zou, Qingsong: Finite volume element method for predicting electrostatics of a biomolecule immersed in an ionic solvent (2021)
  8. Zhu, Qiming; Yan, Jinhui: A moving-domain CFD solver in FEniCS with applications to tidal turbine simulations in turbulent flows (2021)
  9. Alberto Paganini, Florian Wechsung: Fireshape: a shape optimization toolbox for Firedrake (2020) arXiv
  10. Bartels, Sören; Wachsmuth, Gerd: Numerical approximation of optimal convex shapes (2020)
  11. Bazilevs, Yuri; Kamensky, David; Moutsanidis, Georgios; Shende, Shaunak: Residual-based shock capturing in solids (2020)
  12. Bin Zubair Syed, H.; Farquharson, C.; MacLachlan, S.: Block preconditioning techniques for geophysical electromagnetics (2020)
  13. 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)
  14. Dokken, Jørgen S.; Johansson, August; Massing, André; Funke, Simon W.: A multimesh finite element method for the Navier-Stokes equations based on projection methods (2020)
  15. Evans, John A.; Kamensky, David; Bazilevs, Yuri: Variational multiscale modeling with discretely divergence-free subscales (2020)
  16. 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)
  17. Jahandari, Hormoz; MacLachlan, Scott; Haynes, Ronald D.; Madden, Niall: Finite element modelling of geophysical electromagnetic data with goal-oriented (hr)-adaptivity (2020)
  18. Jahn, Mischa; Montalvo-Urquizo, Jonathan: Modeling and simulation of keyhole-based welding as multi-domain problem using the extended finite element method (2020)
  19. Karl, Veronika; Neitzel, Ira; Wachsmuth, Daniel: A Lagrange multiplier method for semilinear elliptic state constrained optimal control problems (2020)
  20. 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)

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