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
Project links
Meta
Classifiers

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

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
Project links
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

This version

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

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-0.3.17.tar.gz (31.8 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.3.17-py3-none-any.whl (43.0 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.3.17.tar.gz.

File metadata

  • Download URL: pygradflow-0.3.17.tar.gz
  • Upload date:
  • Size: 31.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.2 Linux/6.5.0-1016-azure

File hashes

Hashes for pygradflow-0.3.17.tar.gz
Algorithm Hash digest
SHA256 7d2e93abf48cc2fcd94c37c8b92fe7385735a17811e9bd38d0397db629a78a79
MD5 52bf87b41bf7e880496638d0eee7f4ff
BLAKE2b-256 1fe55fd61d9af851fb6351e9a8ead18380654b5f3a14eeb3ae3aa8c642eadec8

See more details on using hashes here.

File details

Details for the file pygradflow-0.3.17-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.3.17-py3-none-any.whl
  • Upload date:
  • Size: 43.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.2 Linux/6.5.0-1016-azure

File hashes

Hashes for pygradflow-0.3.17-py3-none-any.whl
Algorithm Hash digest
SHA256 d160ee4b31a765facbadc2dade11f7a5971324c561687295fcac3687eb419707
MD5 689d7db66dbd8659a50ccc54374b5325
BLAKE2b-256 5521c4554a136a9de27c7dfb41c816047451871ef128ca00fda84e62aeda1b05

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