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

This version

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

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-0.3.23.tar.gz (31.8 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.3.23-py3-none-any.whl (43.0 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.3.23.tar.gz.

File metadata

  • Download URL: pygradflow-0.3.23.tar.gz
  • Upload date:
  • Size: 31.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.10.12 Linux/6.5.0-1016-azure

File hashes

Hashes for pygradflow-0.3.23.tar.gz
Algorithm Hash digest
SHA256 9de16fbd849499ee5dea2599b1f5c791f04daf868597cdcef1b7be4cd394ea2c
MD5 5b9583275a5b7e45af715601310946a8
BLAKE2b-256 d38763e6040e76d9ad49c807d0b9bba3efde2be4d1065196fa54e5a40aff9b0c

See more details on using hashes here.

File details

Details for the file pygradflow-0.3.23-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.3.23-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/3.10.12 Linux/6.5.0-1016-azure

File hashes

Hashes for pygradflow-0.3.23-py3-none-any.whl
Algorithm Hash digest
SHA256 3b498c941c1d82f0a99f5bab3ef77da18bf77f43b9f75974a16af6bb8e585b24
MD5 24e6d8fd6d0d1e539104628513166975
BLAKE2b-256 cb5a0eb448d40520d56018756fc5c2871106119f01c9c819c99a00bfead19771

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