https://github.com/dionhaefner/rogue-wave-discovery

Code for the paper "Machine-Guided Discovery of a Real-World Rogue Wave Model" (Häfner et al., 2023)
https://github.com/dionhaefner/rogue-wave-discovery

Last synced: about 1 month ago
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Code for the paper "Machine-Guided Discovery of a Real-World Rogue Wave Model" (Häfner et al., 2023)

• Host: GitHub
• URL: https://github.com/dionhaefner/rogue-wave-discovery
• Owner: dionhaefner
• License: mit
• Created: 2023-09-20T11:20:29.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-25T15:36:58.000Z (about 1 year ago)
• Last Synced: 2024-10-09T13:23:05.952Z (about 1 month ago)
• Language: Jupyter Notebook
• Size: 422 KB
• Stars: 12
• Watchers: 3
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# rogue-wave-discovery

Code for the paper "Machine-Guided Discovery of a Real-World Rogue Wave Model" (Häfner et al., 2023).

## Installation

Requires Python 3.8 or higher.

1. Clone the repository

2. Install the requirements: `pip install -r requirements.txt`

## Download the data

```bash

$ bash get_rogue_data.sh

```

(About 6.2 GB of data will be downloaded.)

## Run the experiments

Execute all 24 experiments and save the results in `experiments/executed`, along with a summary in `results.json`:

```bash

$ cd experiments

$ bash run_all.sh ../data

```

**Note:** This will take a long time (about 2 days on a 16-core machine) and requires at least 64 GB of RAM.

## Reproduce the figures

```bash

$ cd plots

$ bash run_all.sh ../data results.json

```

The figures will be saved in `plots/generated`.

**Note:** This requires at least 32 GB of RAM.