We are pleased to announce the release of FiPy 3.4.


This release adds support for the PETSc solvers for solving in parallel.


- Add support for PETSc solvers (#701)
- Assorted fixes while supporting PETSc (#700)
  - Fix print statements for Py3k
  - Resolve Gmsh issues
  - Dump only on processor 0
  - Only write `timetests` on processor 0
  - Fix conda-forge link
  - Upload PDF
  - Document `print` option of `FIPY_DISPLAY_MATRIX`
  - Use legacy numpy formatting when testing individual modules
  - Switch to matplotlib's built-in symlog scaling
  - Clean up tests
- Assorted fixes for benchmark 8 (#699)
  - Stipulate `--force` option for `conda remove fipy`
  - Update Miniconda installation url
  - Replace `_CellVolumeAverageVariable` class with `Variable` expression
  - Fix output for bad call stack
- Make CircleCI build docs on Py3k (#698)
- Fix link to Nick Croft's thesis (#681)
- Fix NIST header footer (#680)
- Use Nixpkgs version of FiPy expression (#661)
- Update the Nix recipe (#658)


- #692: Can't copy example scripts with the command line
- #669: input() deadlock on parallel runs
- #643: Automate release process


FiPy is an object oriented, partial differential equation (PDE) solver,
written in Python, based on a standard finite volume (FV) approach. The
framework has been developed in the Metallurgy Division and Center for
Theoretical and Computational Materials Science (CTCMS), in the Material
Measurement Laboratory (MML) at the National Institute of Standards and
Technology (NIST).

The solution of coupled sets of PDEs is ubiquitous to the numerical
simulation of science problems. Numerous PDE solvers exist, using a variety
of languages and numerical approaches. Many are proprietary, expensive and
difficult to customize. As a result, scientists spend considerable
resources repeatedly developing limited tools for specific problems. Our
approach, combining the FV method and Python, provides a tool that is
extensible, powerful and freely available. A significant advantage to
Python is the existing suite of tools for array calculations, sparse
matrices and data rendering.

The FiPy framework includes terms for transient diffusion, convection and
standard sources, enabling the solution of arbitrary combinations of
coupled elliptic, hyperbolic and parabolic PDEs. Currently implemented
models include phase field treatments of polycrystalline, dendritic, and
electrochemical phase transformations as well as a level set treatment of
the electrodeposition process.

fipy mailing list
 [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ]

fipy mailing list
  [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ]

Reply via email to