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-0.3.2.tar.gz (25.4 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.3.2-py3-none-any.whl (35.1 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.3.2.tar.gz.

File metadata

  • Download URL: pygradflow-0.3.2.tar.gz
  • Upload date:
  • Size: 25.4 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-0.3.2.tar.gz
Algorithm Hash digest
SHA256 67eb926074d7fef110d333f21da63f374345bb74407aef1d14576e1222841007
MD5 070db6ff15db3aa5ddf4c8aa89dcc804
BLAKE2b-256 e53b59d87e448812cc9c9e5078f239a8aca4d7637581ceefdd7957048d517987

See more details on using hashes here.

File details

Details for the file pygradflow-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 35.1 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-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 77014e488b2428273472c37ba897cb873519759b278f0a0b04a75de4a5fb178e
MD5 2b940df24ff90b0cc69a3840c36a64fb
BLAKE2b-256 392491db682f80c2a27929240452942567812d52298acefd17021b35d2afe51b

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