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Open HyOpt / model
Mozilla Public License 2.0HyOpt model, written in Mosel modelling language
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Open HyOpt / PyHyOpt
Mozilla Public License 2.0PyHyOpt is a python wrapper providing an unified interface to HyOpt functionality, from parsing of input files through solving to output vizualization (coming).
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Martin Eek Gerhardsen / GTSAM
BSD 3-Clause "New" or "Revised" LicenseGTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
gtsam.org https://github.com/borglab/gtsam
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Nix Flakes / GTSAM
BSD 3-Clause "New" or "Revised" LicenseUpdated -
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Test case from paper "Handling of long-term storage in multi-horizon stochastic programs"
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Open HyOpt / test case 1
Mozilla Public License 2.0HyOpt test case, using open data.
It includes the HyOpt model as a git submodule.
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Morten Lind / pymath2d
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Kildekode for nettstedet https://dase.pages.sintef.no/verktoykassa/
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co-simulation / fmu-build-helper
MIT LicenseUpdated -
Mathias Hauan Arbo / PyBehaviorTree
GNU Lesser General Public License v2.1 onlyUpdated