deal.ii

deal.II is a C++ program library targeted at the computational solution of partial differential equations using adaptive finite elements. It uses state-of-the-art programming techniques to offer you a modern interface to the complex data structures and algorithms required. The main aim of deal.II is to enable rapid development of modern finite element codes, using among other aspects adaptive meshes and a wide array of tools classes often used in finite element program. Writing such programs is a non-trivial task, and successful programs tend to become very large and complex. We believe that this is best done using a program library that takes care of the details of grid handling and refinement, handling of degrees of freedom, input of meshes and output of results in graphics formats, and the like. Likewise, support for several space dimensions at once is included in a way such that programs can be written independent of the space dimension without unreasonable penalties on run-time and memory consumption.


References in zbMATH (referenced in 297 articles , 1 standard article )

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  1. Araujo-Cabarcas, Juan Carlos; Engström, Christian; Jarlebring, Elias: Efficient resonance computations for Helmholtz problems based on a Dirichlet-to-Neumann map (2018)
  2. Neitzel, I.; Wollner, W.: A priori $L^2$-discretization error estimates for the state in elliptic optimization problems with pointwise inequality state constraints (2018)
  3. Walker, Shawn W.: FELICITY: a Matlab/C++ toolbox for developing finite element methods and simulation modeling (2018)
  4. Adler, J.H.; Emerson, D.B.; Farrell, P.E.; MacLachlan, S.P.: Combining deflation and nested iteration for computing multiple solutions of nonlinear variational problems (2017)
  5. Arbogast, Todd; Hesse, Marc A.; Taicher, Abraham L.: Mixed methods for two-phase Darcy-Stokes mixtures of partially melted materials with regions of zero porosity (2017)
  6. Arndt, Daniel; Bangerth, Wolfgang; Davydov, Denis; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, version 8.5 (2017)
  7. Ávila, A.I.; Meister, A.; Steigemann, M.: An adaptive Galerkin method for the time-dependent complex Schrödinger equation (2017)
  8. Axelsson, Owe; Farouq, Shiraz; Neytcheva, Maya: Comparison of preconditioned Krylov subspace iteration methods for PDE-constrained optimization problems. Stokes control (2017)
  9. Axelsson, Owe; Farouq, Shiraz; Neytcheva, Maya: A preconditioner for optimal control problems, constrained by Stokes equation with a time-harmonic control (2017)
  10. Ballani, Jonas; Kressner, Daniel; Peters, Michael D.: Multilevel tensor approximation of PDEs with random data (2017)
  11. Bause, Markus; Radu, Florin A.; Köcher, Uwe: Error analysis for discretizations of parabolic problems using continuous finite elements in time and mixed finite elements in space (2017)
  12. Bonetti, Elena; Freddi, Francesco; Segatti, Antonio: An existence result for a model of complete damage in elastic materials with reversible evolution (2017)
  13. Burstedde, Carsten; Holke, Johannes: Coarse mesh partitioning for tree-based AMR (2017)
  14. Carraro, Thomas; Goll, Christian: A goal-oriented error estimator for a class of homogenization problems (2017)
  15. Chandrashekar, Praveen; Zenk, Markus: Well-balanced nodal discontinuous Galerkin method for Euler equations with gravity (2017)
  16. Donna Calhoun, Carsten Burstedde: ForestClaw: A parallel algorithm for patch-based adaptive mesh refinement on a forest of quadtrees (2017) arXiv
  17. Guermond, Jean-Luc; De Luna, Manuel Quezada; Thompson, Travis: An conservative anti-diffusion technique for the level set method (2017)
  18. Guermond, Jean-Luc; Popov, Bojan; Saavedra, Laura; Yang, Yong: Invariant domains preserving arbitrary Lagrangian Eulerian approximation of hyperbolic systems with continuous finite elements (2017)
  19. Jomo, John N.; Zander, Nils; Elhaddad, Mohamed; Özcan, Ali; Kollmannsberger, Stefan; Mundani, Ralf-Peter; Rank, Ernst: Parallelization of the multi-level $hp$-adaptive finite cell method (2017)
  20. Kanschat, Guido; Lazarov, Raytcho; Mao, Youli: Geometric multigrid for Darcy and Brinkman models of flows in highly heterogeneous porous media: a numerical study (2017)

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Further publications can be found at: http://www.dealii.org/developer/index.html