Skip to main content

pressio4py: projection-based model reduction for Python

Project description

This package provides Python bindings for the projection-based model reduction C++ library Pressio (website). The goal of this project is to enable leading-edge projection-based model reduction for (large-scale) linear and nonlinear dynamical systems.

Install

You need a C++14-compliant compiler and then do:

export CXX=<path-to-your-C++-compiler>
pip install pressio4py

You can double check that everything worked fine by doing:

import pressio4py
print(pressio4py.__version__)

Running Demos/Tutorials

After installing the library, you can run the regression tests:

git clone --recursive git@github.com:Pressio/pressio4py.git
cd pressio4py
pytest -s

And you can check out the demos:

git clone --recursive git@github.com:Pressio/pressio4py.git
cd pressio4py/demos
python3 ./<demo-subdir-name>/main.py

Documentation

The documentation (in progress) can be found (here) with some demos already available.

Citations

If you use this package, please acknowledge our work-in-progress:

  • Francesco Rizzi, Patrick J. Blonigan, Eric. Parish, Kevin T. Carlberg “Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems” https://arxiv.org/abs/2003.07798

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pressio4py-0.12.0.tar.gz (925.9 kB view details)

Uploaded Source

Built Distribution

pressio4py-0.12.0-cp37-cp37m-macosx_10_15_x86_64.whl (573.8 kB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file pressio4py-0.12.0.tar.gz.

File metadata

  • Download URL: pressio4py-0.12.0.tar.gz
  • Upload date:
  • Size: 925.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/58.5.3 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.8

File hashes

Hashes for pressio4py-0.12.0.tar.gz
Algorithm Hash digest
SHA256 be95d41fb3d727975e96a01c97ea2ebf79b134f9a5042d6a7e1668fbd0c3073d
MD5 dd5bb7a9a7b88323ac566e8f7e8432cd
BLAKE2b-256 048ef2358cd1dbbf2b146a9b695d76c6b5253e60877cbd2704e1cc11b003e6f4

See more details on using hashes here.

File details

Details for the file pressio4py-0.12.0-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: pressio4py-0.12.0-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 573.8 kB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/58.5.3 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.8

File hashes

Hashes for pressio4py-0.12.0-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 ad40e79850c95c83cf22e2f1fcb18fb5ce9729fbb604aea0b11281969485479f
MD5 c151fc71972e94cfdd46267594c70f08
BLAKE2b-256 74d5c556623679ef8c563456518ba8491fea66c261b2cbc10da1cff7c22b3f53

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page