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-0.4.12.tar.gz (38.0 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.4.12-py3-none-any.whl (53.0 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.4.12.tar.gz.

File metadata

  • Download URL: pygradflow-0.4.12.tar.gz
  • Upload date:
  • Size: 38.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1018-azure

File hashes

Hashes for pygradflow-0.4.12.tar.gz
Algorithm Hash digest
SHA256 5de0d50159313823e5b95266f38d024f22ee8a22ebef156cfc0f99be80902359
MD5 cfb28496c850eba7eff16d1de075dd98
BLAKE2b-256 afb1e953d3bb4341a94b61c8b7c0271b684f1df442d10b70579ed6b62ca7f423

See more details on using hashes here.

File details

Details for the file pygradflow-0.4.12-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.4.12-py3-none-any.whl
  • Upload date:
  • Size: 53.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1018-azure

File hashes

Hashes for pygradflow-0.4.12-py3-none-any.whl
Algorithm Hash digest
SHA256 ec8a5466854a878c1cb65bde5ae0d15a7f17c2d1e9f63d87231ea910711d53ab
MD5 731d286e68b20ff8839e2b5b8fc6c676
BLAKE2b-256 53c4fc4d814d64432ab059ca98627344f21974bf00c72ad6a6dcc1641b1c5265

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