https://github.com/kul-optec/panoc-gauss-newton-ifac-experiments
https://github.com/kul-optec/panoc-gauss-newton-ifac-experiments
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (6.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: kul-optec
- Language: Python
- Default Branch: main
- Size: 40.5 MB
Statistics
- Stars: 4
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Gauss–Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control
To reproduce (Linux, requires Python 3, CMake, Ninja, a modern C/C++ toolchain):
```sh
Create a Python virtual environment
python3 -m venv py-venv . py-venv/bin/activate
Set compiler flags for optimal performance
export CFLAGS=-march=native export CXXFLAGS=-march=native
Install alpaqa dependencies into virtual environment
wget https://raw.githubusercontent.com/kul-optec/alpaqa/50ea3edaa6f3c79cb10f3f7816ef475606cd11c8/scripts/install-casadi-static.sh -O- | bash wget https://raw.githubusercontent.com/kul-optec/alpaqa/50ea3edaa6f3c79cb10f3f7816ef475606cd11c8/scripts/install-eigen.sh -O- | bash
Install Python dependencies, build alpaqa from source
pip install -r requirements.txt # takes a couple of minutes
Run the experiments and generate the figures
make # takes some more minutes, close the figures to start next experiment ```
If you wish to use a pre-built version of alpaqa rather than building from
source, Wheel packages are available in the dist folder.
Owner
- Name: OPTEC
- Login: kul-optec
- Kind: organization
- Repositories: 24
- Profile: https://github.com/kul-optec
KU Leuven Center of Excellence: Optimization in Engineering
GitHub Events
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Last Year
- Watch event: 1
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Last synced: 9 months ago
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Past Year
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