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 links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for chrhansk from gravatar.com chrhansk

Credits

Author: Christoph Hansknecht

Requires

Python <3.15, >=3.11

Classifiers

Report project as malware

Download files

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

Source Distribution

pygradflow-0.6.0.tar.gz (51.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pygradflow-0.6.0-py3-none-any.whl (77.3 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.6.0.tar.gz.

File metadata

  • Download URL: pygradflow-0.6.0.tar.gz
  • Upload date:
  • Size: 51.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1020-azure

File hashes

Hashes for pygradflow-0.6.0.tar.gz
Algorithm Hash digest
SHA256 efaa15e761bc9ca77cf6e12461c08af7e0d9402c8a8d106a847d4664f3b50d51
MD5 6a81aa0fa11981e845e9d955a129a58b
BLAKE2b-256 3b56372c56cd9df9173600db94684f848946e71b5e3839d93712f418b5566e0d

See more details on using hashes here.

File details

Details for the file pygradflow-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 77.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1020-azure

File hashes

Hashes for pygradflow-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4ad31ab17bfb7b03360186d65edb66e071eb8dab80c571e62c0c06a7daf183fd
MD5 c2b24259b0d6ed4fdcf99d3b6eeee059
BLAKE2b-256 342e7e78ff9e73a29715d6cc424be0058e0b4957182c0a7d5763d2277e668881

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.6.0 This release

2 files

0.5.24

2 files

0.5.23

2 files

0.5.22

2 files

0.5.21

2 files

0.5.20

2 files

0.5.19

2 files

0.5.18

2 files

0.5.17

2 files

0.5.16

2 files

0.5.15

2 files

0.5.14

2 files

0.5.13

2 files

0.5.12

2 files

0.5.11

2 files

0.5.10

2 files

0.5.9

2 files

0.5.8

2 files

0.5.7

2 files

0.5.6

2 files

0.5.5

2 files

0.5.4

2 files

0.5.3

2 files

0.5.2

2 files

0.5.1

2 files

0.5.0

2 files

0.4.22

2 files

0.4.21

2 files

0.4.20

2 files

0.4.19

2 files

0.4.18

2 files

0.4.17

2 files

0.4.16

2 files

0.4.15

2 files

0.4.14

2 files

0.4.13

2 files

0.4.12

2 files

0.4.11

2 files

0.4.10

2 files

0.4.9

2 files

0.4.8

2 files

0.4.7

2 files

0.4.6

2 files

0.4.5

2 files

0.4.4

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.29

2 files

0.3.28

2 files

0.3.27

2 files

0.3.26

2 files

0.3.24

2 files

0.3.23

2 files

0.3.22

2 files

0.3.21

2 files

0.3.19

2 files

0.3.18

2 files

0.3.17

2 files

0.3.16

2 files

0.3.15

2 files

0.3.14

2 files

0.3.13

2 files

0.3.12

2 files

0.3.11

2 files

0.3.10

2 files

0.3.9

2 files

0.3.8

2 files

0.3.7

2 files

0.3.6

2 files

0.3.5

2 files

0.3.4

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.2.13

2 files

0.2.12

2 files

0.2.11

2 files

0.2.10

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page