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 337 articles )

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  1. 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)
  2. Berardocco, Luca; Kronbichler, Martin; Gravemeier, Volker: A hybridizable discontinuous Galerkin method for electromagnetics with a view on subsurface applications (2020)
  3. de Souza Lourenço, Marcos Antonio; Martínez Padilla, Elie Luis: An octree structured finite volume based solver (2020)
  4. Grave, M.; Camata, José J.; Coutinho, Alvaro L. G. A.: Residual-based variational multiscale 2D simulation of sediment transport with morphological changes (2020)
  5. Ramezani, M.; Mokhtari, R.; Haase, G.: Some high order formulae for approximating Caputo fractional derivatives (2020)
  6. Reguly, István Z.; Mudalige, Gihan R.: Productivity, performance, and portability for computational fluid dynamics applications (2020)
  7. Roth, Simon-Nicolas; Léger, Pierre; Soulaïmani, Azzeddine: Strongly coupled XFEM formulation for non-planar three-dimensional simulation of hydraulic fracturing with emphasis on concrete dams (2020)
  8. Wheeler, Mary F.; Wick, Thomas; Lee, Sanghyun: IPACS: integrated phase-field advanced crack propagation simulator. An adaptive, parallel, physics-based-discretization phase-field framework for fracture propagation in porous media (2020)
  9. Zhao, Yidong; Choo, Jinhyun: Stabilized material point methods for coupled large deformation and fluid flow in porous materials (2020)
  10. Abduljabbar, Mustafa; Farhan, Mohammed Al; Al-Harthi, Noha; Chen, Rui; Yokota, Rio; Bagci, Hakan; Keyes, David: Extreme scale FMM-accelerated boundary integral equation solver for wave scattering (2019)
  11. Arndt, Daniel; Bangerth, Wolfgang; Clevenger, Thomas C.; Davydov, Denis; Fehling, Marc; Garcia-Sanchez, Daniel; Harper, Graham; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Kynch, Ross Maguire; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, Version 9.1 (2019)
  12. Bassett, Brody; Kiedrowski, Brian: Meshless local Petrov-Galerkin solution of the neutron transport equation with streamline-upwind Petrov-Galerkin stabilization (2019)
  13. Boggs, Paul T.; Byrd, Richard H.: Adaptive, limited-memory BFGS algorithms for unconstrained optimization (2019)
  14. Charnyi, Sergey; Heister, Timo; Olshanskii, Maxim A.; Rebholz, Leo G.: Efficient discretizations for the EMAC formulation of the incompressible Navier-Stokes equations (2019)
  15. Dissanayake, Chandani; Juan, Lourdes; Long, Kevin R.; Peace, Angela; Rana, Md Masud: Genotypic selection in spatially heterogeneous producer-grazer systems subject to stoichiometric constraints (2019)
  16. Dohrmann, Clark R.; Pierson, Kendall H.; Widlund, Olof B.: Vertex-based preconditioners for the coarse problems of BDDC (2019)
  17. Fang, Rui; Kronbichler, Martin; Wurzer, Maximilian; Wall, Wolfgang A.: Parallel, physics-oriented, monolithic solvers for three-dimensional, coupled finite element models of Lithium-ion cells (2019)
  18. Gesenhues, Linda; Camata, José J.; Côrtes, Adriano M. A.; Rochinha, Fernando A.; Coutinho, Alvaro L. G. A.: Finite element simulation of complex dense granular flows using a well-posed regularization of the (\mu(I))-rheology (2019)
  19. Heinlein, Alexander; Hochmuth, Christian; Klawonn, Axel: Monolithic overlapping Schwarz domain decomposition methods with GDSW coarse spaces for incompressible fluid flow problems (2019)
  20. Heinlein, Alexander; Klawonn, Axel; Knepper, Jascha; Rheinbach, Oliver: Adaptive GDSW coarse spaces for overlapping Schwarz methods in three dimensions (2019)

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