Skip to main content

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

Project description

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-0.1.5.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.1.5-py3-none-any.whl (23.2 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.1.5.tar.gz.

File metadata

  • Download URL: pygradflow-0.1.5.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.10.12 Linux/6.2.0-1012-azure

File hashes

Hashes for pygradflow-0.1.5.tar.gz
Algorithm Hash digest
SHA256 0e07bb49bfa15d617b0be3d3f3f6acb6ea5caabdbf80f9beab9b0d0fb06834a5
MD5 1f413e57fb8f9702825b139e560e1164
BLAKE2b-256 6c69b3ec66dce90a5aa5c1c4c0f8648c39ae2452a9e2ab8da1b39790c1710dbe

See more details on using hashes here.

File details

Details for the file pygradflow-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 23.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.10.12 Linux/6.2.0-1012-azure

File hashes

Hashes for pygradflow-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 247d7fcc13902370f8e614220e322425d6b88c456d2d70782876f13fccaa202e
MD5 6d1c9a35dcb97e71b3aaae1ce20a6af5
BLAKE2b-256 2d1b5cd21974d941566a328096a2bef91b2e58229cc0c782aacc2e3765322c88

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