v0.2.4 — 2026-07-03
CALGO artifact preparation and optimizer robustness release.
Package
- Guarded the shared C optimizer against degenerate zero-error steps, avoiding
NaNs when an iteration reaches an exact or nearly exact solution.
Examples
- Added a Monte Carlo Box--Jenkins example comparing
bjandbj_filtered
on a plant with colored output noise.
Distribution
- Updated the CALGO packaging script to include the Box--Jenkins Monte Carlo
driver and expected output. - Updated the CALGO package layout so article drivers include their official
.npzdata caches, while regular examples exclude generated result caches. - Added a top-level CALGO artifact overview in
Doc/README.md.
Documentation
- Updated package, citation, and user-manual metadata to version
0.2.4.
Links
- PyPI: https://pypi.org/project/pysib/0.2.4/
- GitHub release: https://github.com/diegoeck/pysib/releases/tag/v0.2.4