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

This version

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

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-0.3.27.tar.gz (34.9 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.3.27-py3-none-any.whl (49.9 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.3.27.tar.gz.

File metadata

  • Download URL: pygradflow-0.3.27.tar.gz
  • Upload date:
  • Size: 34.9 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-0.3.27.tar.gz
Algorithm Hash digest
SHA256 8c1d60c0547c6470f5cd68d657e76967a0f35e3568af83a597980ef3abc023b9
MD5 cb2fa609b1f70cd7ec83fba1b11948cc
BLAKE2b-256 ab0f5e46fd180f90c511841226eaeba58e9541eb57dfee327a0eadbd91d741fb

See more details on using hashes here.

File details

Details for the file pygradflow-0.3.27-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.3.27-py3-none-any.whl
  • Upload date:
  • Size: 49.9 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-0.3.27-py3-none-any.whl
Algorithm Hash digest
SHA256 569d0565195c1ab1914922f77eaa6d305aeb1b1e9adcb37f818d22c2b86682f8
MD5 25fe436d38126f28930ab24cc5d7898c
BLAKE2b-256 c328ee7d58cbe738a08aba3b4c3a405abbe30a538d4f7abf2d663c55f26f7c94

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