[CIG-ALL] deal.II 9.2 released

Version 9.2.0 of deal.II, the object-oriented finite element library awarded the J. H. Wilkinson Prize for Numerical Software, has been released. It is
available for free under an Open Source license from the deal.II homepage at


The major changes of this release are:

   - Seven new tutorial programs: step-47 solves the biharmonic equation;
     step-50 demonstrates algebraic and geometric multigrid methods for
     large, parallel computations on adaptively refined meshes, and
     compares matrix-based and matrix-free implementations; step-58
     solves the nonlinear Schroedinger equation; step-65 illustrates
     working with complex geometries and curved domains; step-67 and
     step-69 implementing different approaches for the Euler equations
     in compressible gas dynamics; step-70 illustrates flow around a
     moving obstacle.

   - Substantial improvements to the Python interfaces, including
     Jupyter versions of the step-49 and step-53 tutorial program.

   - A new triangulation class (parallel::fullydistributed::Triangulation)
     that completely distributes a triangulation, rather than keeping
     the coarse mesh available on all processors.

   - The DataOut and related classes now fully support outputting
     complex-valued solution vectors, including complex-valued vector
     and tensor fields.

   - A number of fixes throughout the library for problems with more
     than 2^32 (=4 billion) unknowns.

   - Improvements to the support for particle based methods as well as
     to parallel hp-adaptive finite element methods.

   - More than 320 other new features, improvements, and bugfixes.

For more information see:
   - The preprint at https://www.dealii.org/deal92-preprint.pdf
   - The list of changes at

The main features of deal.II are:
   - Extensive documentation and 66 fully-functional example programs
   - Support for dimension-independent programming
   - Locally refined adaptive meshes
   - Multigrid support
   - A zoo of different finite elements
   - Fast linear algebra
   - Built-in support for shared memory and distributed parallel computing,
     scaling from laptops to clusters with 100,000+ processor cores
   - Interfaces to Trilinos, PETSc, METIS, UMFPACK and other external software
   - Output for a wide variety of visualization platforms.

The deal.II developer team and many contributors.