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

This version

0.5.9

Download files

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

Source Distribution

pygradflow-0.5.9.tar.gz (51.8 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.5.9-py3-none-any.whl (74.8 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.5.9.tar.gz.

File metadata

  • Download URL: pygradflow-0.5.9.tar.gz
  • Upload date:
  • Size: 51.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1022-azure

File hashes

Hashes for pygradflow-0.5.9.tar.gz
Algorithm Hash digest
SHA256 0f0f7c588db2f716fac40d9eaec90e523ce08bcbf31dfa5b5fee58fc956d60f1
MD5 2e5803705f0dde9083c2c6f6f480f206
BLAKE2b-256 de9f2c62b09e7ef21f915ae33865c34babc609ac76f117c047f765f4871dc48a

See more details on using hashes here.

File details

Details for the file pygradflow-0.5.9-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.5.9-py3-none-any.whl
  • Upload date:
  • Size: 74.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1022-azure

File hashes

Hashes for pygradflow-0.5.9-py3-none-any.whl
Algorithm Hash digest
SHA256 8f3acacc6815e6b6fee26c2e41d89823b072b2124442e9152cb3d4af2be46675
MD5 79f577577df0e6e54395875a65633af7
BLAKE2b-256 dc1a186b5edec6887a4791d805919b3e46abfb5a6620c08b3918475d7084bd45

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