Paper plots and results #15
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…ify CUDA support for JAX, and enhance plotting functions in paper_plots.py for better clarity and flexibility in visualizing simulation results.
- Introduced `plot_viable_area` function to visualize the viable area for specified vector fields. - Updated `run_single_simulation` parameters for improved performance and flexibility, including changes to vector field defaults and optimization settings. - Adjusted plotting limits and labels in the `experiment_parameter_sensitivity` function for better clarity in results.
…r single simulation, best values, and land avoidance analysis.
… plot_curve, and update plot filenames in paper_plots.py for consistency. Enhance cost handling in paper_results.py to prevent errors and improve data integrity.
- Changed the `K` parameter in `config_land.toml` from 12 to 9 for improved simulation settings. - Added a `size` parameter to the `plot_land_avoidance` function to allow dynamic control over the number of samples plotted. - Adjusted subplot sizes and labels in `experiment_parameter_sensitivity` for better visualization. - Updated figure size in `experiment_land_complexity` for improved clarity in results presentation.
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