Each Trilinos package is a self-contained, independent piece of software with its own set of requirements, its own development team and group of users. Because of this, Trilinos itself is designed to respect the autonomy of packages. Trilinos offers a variety of ways for a particular package to interact with other Trilinos packages. It also offers a set of tools that can assist package developers with builds across multiple platforms, generating documentation and regression testing across a set of target platforms. At the same time, what a package must do to be called a Trilinos package is minimal, and varies with each package.

References in zbMATH (referenced in 384 articles )

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  1. Arndt, Daniel; Bangerth, Wolfgang; Davydov, Denis; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The \textscdeal.II finite element library: design, features, and insights (2021)
  2. Boris Krasnopolsky, Alexey Medvedev: XAMG: A library for solving linear systems with multiple right-hand side vectors (2021) not zbMATH
  3. D’Ambra, Pasqua; Durastante, Fabio; Filippone, Salvatore: AMG preconditioners for linear solvers towards extreme scale (2021)
  4. Fei, Fan; Choo, Jinhyun: Double-phase-field formulation for mixed-mode fracture in rocks (2021)
  5. Fontana, João V.; Juel, Anne; Bergemann, Nico; Heil, Matthias; Hazel, Andrew L.: Modelling finger propagation in elasto-rigid channels (2021)
  6. Gaillard, Antoine; Keeler, Jack S.; Le Lay, Grégoire; Lemoult, Grégoire; Thompson, Alice B.; Hazel, Andrew L.; Juel, Anne: The life and fate of a bubble in a geometrically perturbed Hele-Shaw channel (2021)
  7. Heinlein, Alexander; Hochmuth, Christian; Klawonn, Axel: Fully algebraic two-level overlapping Schwarz preconditioners for elasticity problems (2021)
  8. Jolivet, Pierre; Roman, Jose E.; Zampini, Stefano: KSPHPDDM and PCHPDDM: extending PETSc with advanced Krylov methods and robust multilevel overlapping Schwarz preconditioners (2021)
  9. Kouri, Drew P.; Ridzal, Denis; Tuminaro, Ray: KKT preconditioners for PDE-constrained optimization with the Helmholtz equation (2021)
  10. Lee, Sanghyun; Wheeler, Mary F.: Modeling interactions of natural and two-phase fluid-filled fracture propagation in porous media (2021)
  11. Saurabh, Kumar; Gao, Boshun; Fernando, Milinda; Xu, Songzhe; Khanwale, Makrand A.; Khara, Biswajit; Hsu, Ming-Chen; Krishnamurthy, Adarsh; Sundar, Hari; Ganapathysubramanian, Baskar: Industrial scale large eddy simulations with adaptive octree meshes using immersogeometric analysis (2021)
  12. Thies, Jonas; Wouters, Michiel; Hennig, Rebekka-Sarah; Vanroose, Wim: Towards scalable automatic exploration of bifurcation diagrams for large-scale applications (2021)
  13. Anselmann, Mathias; Bause, Markus: Numerical study of Galerkin-collocation approximation in time for the wave equation (2020)
  14. Arndt, Daniel; Bangerth, Wolfgang; Blais, Bruno; Clevenger, Thomas C.; Fehling, Marc; Grayver, Alexander V.; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Maier, Matthias; Munch, Peter; Pelteret, Jean-Paul; Rastak, Reza; Tomas, Ignacio; Turcksin, Bruno; Wang, Zhuoran; Wells, David: The deal.II library, version 9.2 (2020)
  15. Badia, Santiago; Martín, Alberto F.; Neiva, Eric; Verdugo, Francesc: A generic finite element framework on parallel tree-based adaptive meshes (2020)
  16. Barone, Alessandro; Gizzi, Alessio; Fenton, Flavio; Filippi, Simonetta; Veneziani, Alessandro: Experimental validation of a variational data assimilation procedure for estimating space-dependent cardiac conductivities (2020)
  17. Berardocco, Luca; Kronbichler, Martin; Gravemeier, Volker: A hybridizable discontinuous Galerkin method for electromagnetics with a view on subsurface applications (2020)
  18. Čapek, Marek: A phase-field method applied to interface tracking for blood clot formation. (2020)
  19. Carson, Erin Claire: An adaptive (s)-step conjugate gradient algorithm with dynamic basis updating. (2020)
  20. D’Elia, M.; Phipps, E.; Rushdi, A.; Ebeida, M. S.: Surrogate-based ensemble grouping strategies for embedded sampling-based uncertainty quantification (2020)

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