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

0.4.2

Download files

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

Source Distribution

pygradflow-0.4.2.tar.gz (36.0 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.4.2-py3-none-any.whl (50.8 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.4.2.tar.gz.

File metadata

  • Download URL: pygradflow-0.4.2.tar.gz
  • Upload date:
  • Size: 36.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.10.12 Linux/6.5.0-1018-azure

File hashes

Hashes for pygradflow-0.4.2.tar.gz
Algorithm Hash digest
SHA256 d58b4730cebea402bf0c4bc6b8f62c429628e9cca5e3223ee3bf79b9cafb46f7
MD5 e93b559e25cad64cfdce9f02d723cce6
BLAKE2b-256 a2cfcd605170983d8488b039f9982dee798c94917a2a8a8979966733443e4e0b

See more details on using hashes here.

File details

Details for the file pygradflow-0.4.2-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.4.2-py3-none-any.whl
  • Upload date:
  • Size: 50.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.10.12 Linux/6.5.0-1018-azure

File hashes

Hashes for pygradflow-0.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 14678bf71a61e41d1c922000a0792f84e4ab741b2cd7d9eb20afa33d2660349d
MD5 4b31af4755653b07f46f1f43d701aa42
BLAKE2b-256 0de776c63d1dd831d73331c126ee644ac752df5b399e58d56650475c452fbcd3

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