Skip to main content

A gemseo wrapper of Python version of Method of Moving Asymptothes in the implementation of Arjen Deetman.

Project description

gemseo-mma

PyPI - License PyPI - Python Version PyPI Codecov branch

Overview

A gemseo wrapper of Python version of Method of Moving Asymptothes in the implementation of Arjen Deetman.

Installation

Install the latest version with pip install gemseo-mma.

See pip for more information.

Bugs and questions

Please use the gitlab issue tracker to submit bugs or questions.

Contributing

See the contributing section of GEMSEO.

Contributors

  • Simone Coniglio
  • Antoine Dechaume
  • Original implementation of Arjen Deetman, see here.

References

Svanberg, K. (1987). The Method of Moving Asymptotes -- A new method for structural optimization. International Journal for Numerical Methods in Engineering 24, 359-373. doi:10.1002/nme.1620240207, see here.

Svanberg, K. (n.d.). MMA and GCMMA -- two methods for nonlinear optimization. Retrieved August 3, 2017 from this.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

gemseo_mma-3.0.0-py3-none-any.whl (28.8 kB view details)

Uploaded Python 3

File details

Details for the file gemseo_mma-3.0.0-py3-none-any.whl.

File metadata

  • Download URL: gemseo_mma-3.0.0-py3-none-any.whl
  • Upload date:
  • Size: 28.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for gemseo_mma-3.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 16cbc1a5ec0f4215054f53d6ec7f0ae7e00c16839828130a1f77b4c74fc6fed4
MD5 01f9a4682a06b225f5e7cbd057e4210d
BLAKE2b-256 3623a0c1f42e03b9be2527b636c6a599565b37c855e79f1edeac2a5d153944ab

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