Skip to main content

PyGradFlow is a simple implementation of the sequential homotopy method to be used to solve general nonlinear programs.

Project description

PyPI version Documentation Status

PyGradFlow

PyGradFlow is a simple implementation of the sequential homotopy method to be used to solve general nonlinear programs.

To solve a nonlinear problem, subclass the Problem class, implementing its abstract methods, pass a problem instance to a Solver, and call its solve() method.

Note: This code is for research purposes, not productive use.

References

  • Potschka, A., Bock, H.G. A sequential homotopy method for mathematical programming problems. Math. Program. 187, 459–486 (2021). https://doi.org/10.1007/s10107-020-01488-z
  • Pearson, John W., and Andreas Potschka. "A preconditioned inexact active-set method for large-scale nonlinear optimal control problems." arXiv preprint arXiv:2112.05020 (2021).

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

pygradflow-0.3.3.tar.gz (28.5 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.3.3-py3-none-any.whl (39.3 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.3.3.tar.gz.

File metadata

  • Download URL: pygradflow-0.3.3.tar.gz
  • Upload date:
  • Size: 28.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.12 Linux/6.2.0-1018-azure

File hashes

Hashes for pygradflow-0.3.3.tar.gz
Algorithm Hash digest
SHA256 fa78cde1909080aabd0ec32674707d85264a6e13cde5176555b4f72c0269eb20
MD5 b73ca99eaa6e37a3a75f652aa118186b
BLAKE2b-256 fb28e8fa294ab17ee180bd4c3a4eb7b1b4958924b1b02b235bec4f09a89b29dc

See more details on using hashes here.

File details

Details for the file pygradflow-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 39.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.12 Linux/6.2.0-1018-azure

File hashes

Hashes for pygradflow-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 180f19c096fed4e421778df8f59c89d4b47439a0562954e4b8b89b7881a872f8
MD5 3b738cbfbb235f5353b425ac27496af9
BLAKE2b-256 a1af7fef7f2f0b16f734eec4725aaf59873af34b1dc1ef5df74f12e407d699c3

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