The initial package for seismic FWI
Project description
PyFWI
This repository contains Python package for elastic seismic full-waveform inversion (FWI).
Installation
To install this package, run
python3 -m pip install PyFWI
on OS or
py -m pip install PyFWI
on Windows.
Citing PyFWI
@software{PyFWI,
author = {Mardan Amir and
Bernard Giroux and
Gabriel Fabien-Ouellet},
title = {{PyFWI}: {Python} Python package for Full-Waveform Inversion (FWI)},
month = Jan,
year = 2022,
publisher = {Zenodo},
doi = {10.5281/zenodo.5813637},
url = {https://doi.org/10.5281/zenodo.5813637}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
PyFWI-0.1.6.tar.gz
(90.7 kB
view details)
Built Distribution
PyFWI-0.1.6-py3-none-any.whl
(68.6 kB
view details)
File details
Details for the file PyFWI-0.1.6.tar.gz
.
File metadata
- Download URL: PyFWI-0.1.6.tar.gz
- Upload date:
- Size: 90.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b00b2f2d2e46ec5b2d5300fcb582edf92e1e211cde9ad7ea36ca2d64ab794680 |
|
MD5 | 370198781a50dc9ed39fcf90784774dd |
|
BLAKE2b-256 | 045fa44b4c3e56025d2446cec3ffede9139513e19f9b2ed05625f426f6f9698c |
File details
Details for the file PyFWI-0.1.6-py3-none-any.whl
.
File metadata
- Download URL: PyFWI-0.1.6-py3-none-any.whl
- Upload date:
- Size: 68.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 86a275501a10f08b5e6b3f5bdca2be9ec391c34537669fe15e5abd8f006e698b |
|
MD5 | 096fdd77c7c0cd92eb39f2550a2e53b5 |
|
BLAKE2b-256 | 3120f574c225e255ff9f34da48d1d7ab920a08781b668c0d485cf1658450fb3a |