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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for chrhansk from gravatar.com chrhansk

Unverified details

These details have not been verified by PyPI
Meta
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for chrhansk from gravatar.com chrhansk

Unverified details

These details have not been verified by PyPI
Meta
Classifiers

Release history Release notifications | RSS feed

0.5.20

0.5.19

0.5.18

0.5.17

0.5.16

0.5.15

0.5.14

0.5.13

0.5.12

0.5.11

0.5.10

0.5.9

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.22

0.4.21

0.4.20

0.4.19

0.4.18

0.4.17

0.4.16

0.4.15

0.4.14

0.4.13

0.4.12

0.4.11

0.4.10

0.4.9

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.29

0.3.28

0.3.27

0.3.26

0.3.24

0.3.23

0.3.22

0.3.21

0.3.19

0.3.18

0.3.17

0.3.16

0.3.15

0.3.14

0.3.13

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.2.13

0.2.12

0.2.11

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.3

0.1.2

0.1.1

This version

0.1.0

Download files

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

Source Distribution

pygradflow-0.1.0.tar.gz (24.4 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.1.0-py3-none-any.whl (29.9 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.1.0.tar.gz.

File metadata

  • Download URL: pygradflow-0.1.0.tar.gz
  • Upload date:
  • Size: 24.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pygradflow-0.1.0.tar.gz
Algorithm Hash digest
SHA256 a975908cefab5edd854eff8d84403142f5a12c2445b722be081fc01e36eb424b
MD5 dc3334a03921233ab42057a0393c7c1c
BLAKE2b-256 9b238520305a73ebd43f6dfbf8fc92832ba1d20a476eced8c264d8161ba4e6c6

See more details on using hashes here.

File details

Details for the file pygradflow-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 29.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.10.12 Linux/5.15.0-1041-azure

File hashes

Hashes for pygradflow-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bb72cb275bbbc1320de6c9bd980c2313c29b9a761ad0b165d327813f678096e5
MD5 327d353cb360f948069bd31f626dfe39
BLAKE2b-256 47bab2a174a8bedaa9ecc7f44dceddda4ff2ecaffdf7a23dbb3c35dc8d1530ac

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