To reproduce the figure of the paper Michaud (submitted) "Two efficient static optimization algorithms that account for muscle-tendon equilibrium: approaching the constraint Jacobian via a constant or a cubic spline function" follow these instructions:

Using an anaconda environment

1. Create a conda environment using the environment file (conda env create -f environment.yml)
2. Make sur your environment is activated (conda activate static_optim)
3. Install the static_optim package in the environment (python setup.py install)
4. Run the figure creation scripts (python LinearApproximation.py or python ResultsComparison.py)

Note the TimingArm26.txt file was created by hand. It is a collection of the timings took by each algorithm for 10 runs