Rheolef 6.3: a free and efficient C++ finite element library

Rheolef: an efficient FEM C++ finite element library for solving PDE
Version : 6.3 Home: http://ljk.imag.fr/membres/Pierre.Saramito/rheolef
Book: http://cel.archives-ouvertes.fr/docs/00/74/37/94/PDF/rheolef.pdf
News in 6.3: * minor bugs fixed * portability improved
Distibution: sources and binaries as debian packages. The license is GPL.
Keywords: finite element method (FEM), partial derivative equations (PDE), C++
------------- Summary ------------- Rheolef is a programming environment that serves as a convenient laboratory for computations involving finite element methods (FEM) for solving partial differential equations (PDE). Rheolef is both a C++ library and a set of commands for unix shell programming, providing algorithms and data structures.
* Algorithms refer to the most up-to-date ones: preconditioned sparse solvers for linear systems, incompressible elasticity, Stokes and Navier-Stokes flows, characteristic method for convection dominated heat problems, etc. Also nonlinear generic algorithms such as fixed point and damped Newton methods.
* Data structures fit the standard variational formulation concept: spaces, discrete fields, bilinear forms are C++ types for variables, that can be combined in any expressions, as you write it on the paper.
Combined together, as a Lego game, these bricks allows the user to solve most complex nonlinear problems. The concision and readability of codes written with Rheolef is certainly a major keypoint of this environment.
------------- Main features ------------- * Poisson problems in dimension d=1,2,3. * Stokes problems (d=2,3), with Taylor-Hood or stabilized P1 bubble-P1 elements. * linear elasticity (d=1,2,3), including the incompressible case. * characteristic method for time-dependent problems: transport, convection-difusion, and Navier-Stokes equations. * input and output in various file format for meshes generators and numerical data visualization systems.
----------------- Advanced features ----------------- * massively distributed memory finite element environment, based on MPI. * high-order polynomial approximation. * auto-adaptive mesh algorithms. * axisymetric problems. * nonlinear Newton-like PDE solvers * solve equations on 3d surfaces * 3d stereo visualization
Pierre Saramito
Directeur de Recherche CNRS
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