RBniCS Project

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The RBniCS Project contains an implementation in FEniCS of several reduced order modelling techniques (and, in particular, certified reduced basis method and Proper Orthogonal Decomposition-Galerkin methods) for parametrized problems. It is ideally suited for an introductory course on reduced basis methods and reduced order modelling, thanks to an object-oriented approach and an intuitive and versatile python interface. To this end, it has been employed in several doctoral courses on “Reduced Basis Methods for Computational Mechanics”.

RBniCS can also be used as a basis for more advanced projects that would like to assess the capability of reduced order models in their existing FEniCS-based software, thanks to the availability of several reduced order methods (such as reduced basis and proper orthogonal decomposition) and algorithms (such as successive constraint method, empirical interpolation method) in the library.

Several tutorials are provided. This software is also a companion of the introductory reduced basis handbook:

Authors and contributors

RBniCS is currently developed and maintained at SISSA mathLab by Dr. Francesco Ballarin, under the supervision of Prof. Gianluigi Rozza in the framework of the AROMA-CFD ERC CoG project. We acknowledge all contributors listed in the AUTHORS file.

Learn more about RBniCS


Like all core FEniCS components, RBniCS is freely available under the GNU LGPL, version 3.