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

This version

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-0.1.7.tar.gz (16.8 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.1.7-py3-none-any.whl (24.5 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.1.7.tar.gz.

File metadata

  • Download URL: pygradflow-0.1.7.tar.gz
  • Upload date:
  • Size: 16.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.10.12 Linux/6.2.0-1012-azure

File hashes

Hashes for pygradflow-0.1.7.tar.gz
Algorithm Hash digest
SHA256 5475ffeaf76478afae7a3c96159138748a46072f4eacb68c4b91dfdb4e1ec889
MD5 45d2943532b59148425ff626c8fd337f
BLAKE2b-256 393646713abc5adbf70c90c2782006e67b08de69e8080c93ba2c6c7714e11e75

See more details on using hashes here.

File details

Details for the file pygradflow-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 24.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.10.12 Linux/6.2.0-1012-azure

File hashes

Hashes for pygradflow-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 c821d4296aabd4713c56449ebf5fa329dd2522c7e3faa5d74e6879543142885d
MD5 b091434e82c79cf05220679dd7067430
BLAKE2b-256 78e5284950c29466ecf16a3eeccca98e15472549244d3de1c07edb5228707d25

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