prog_algs v1.5

[teubert]

Release v1.5

• Integration method can now be set for state estimation and prediction by setting model.parameters[‘integration_method’]
• Minimum time step can now be set in state estimation using the argument 'dt'. This is useful for models that become unstable with large time steps
• Support for python3.11

Note

In the next release (v1.6), prog_models and prog_algs will be combined into a single package called progpy. For release v1.6 you will install what is currently prog_modals and prog_algs by calling pip install progpy.

Acknowledgements

Thank you to our interns Aditya Tummala (@aqitya) and Miryam Strautkalns (@mstraut) for their contributions to this release.

This release includes contributions from NASA's Autonomous Spacecraft Operations (ASO), Data and Reasoning Fabric (DRF), System Wide Safety (SWS), and Transformative Tools & Technologies (TTT) projects. Thank you for your support!

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This discussion was created from the release prog_algs v1.5.