parafields - parafields v1.0.2

The Final JOSS publication is now part of this release.

Scientific Software - Peer-reviewed - Python
Published by dokempf about 2 years ago

parafields - parafields v1.0.1

Minor changes to the JOSS publication.

Scientific Software - Peer-reviewed - Python
Published by dokempf about 2 years ago

parafields - parafields v1.0.0

parafields is a Python package that provides Gaussian random fields based on circulant embedding. Core features are:

• Large variety of covariance functions: exponential, Gaussian, Matérn, spherical and cubic covariance functions, among others
• Generation of distributed fields using domain decomposition and MPI through mpi4py
• Uses numpy data structures to ease integration with the Python ecosystem of scientific software
• Optional caching of matrix-vector products
• Easy integration into e.g. FEniCSx-based PDE solvers (Example that is currently not tested as part of our CI)

parafields implements these features through Python bindings to the parafields-core C++ library.

Scientific Software - Peer-reviewed - Python
Published by dokempf about 2 years ago

parafields - parafields v0.3.0

What's Changed

• Various updates from dependabot and pre-commit-ci
• m2r2 -> sphinx_mdinclude by @dokempf in https://github.com/parafields/parafields/pull/98
• Use custom exception type for negative eigenvalues by @dokempf in https://github.com/parafields/parafields/pull/101
• Add autotuning strategy for embedding factor by @dokempf in https://github.com/parafields/parafields/pull/103

Full Changelog: https://github.com/parafields/parafields/compare/v0.2.0...v0.3.0

Scientific Software - Peer-reviewed - Python
Published by dokempf almost 3 years ago

parafields - parafields v0.2.0

Scientific Software - Peer-reviewed - Python
Published by dokempf over 3 years ago