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

This version

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

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-0.3.28.tar.gz (34.9 kB view details)

Uploaded Source

Built Distribution

pygradflow-0.3.28-py3-none-any.whl (49.9 kB view details)

Uploaded Python 3

File details

Details for the file pygradflow-0.3.28.tar.gz.

File metadata

  • Download URL: pygradflow-0.3.28.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-0.3.28.tar.gz
Algorithm Hash digest
SHA256 31d458db5111560d84436623b210ed732c11a65567638e179b92ee5d45bf1db1
MD5 99f6d838763a0e5bc0482f442568c4fe
BLAKE2b-256 0c12ac9803c7b8d0ab92b8dc7c828124ad485c82ff971440368eb83631cf42b7

See more details on using hashes here.

File details

Details for the file pygradflow-0.3.28-py3-none-any.whl.

File metadata

  • Download URL: pygradflow-0.3.28-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-0.3.28-py3-none-any.whl
Algorithm Hash digest
SHA256 0c86c71e56877fb2bc21f23bcc2fee1990b35b15c6d48ae22bb6517532e7ca55
MD5 19083ee9e4f72c7d1bfb286166dfb45b
BLAKE2b-256 600b8a18ba1c77b055e29afbd23439c1770fe38eccf2da9eb7ec762848d9fec6

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