osqp · PyPI

OSQP: The Operator Splitting QP Solver

Project description

https://github.com/oxfordcontrol/qdldl-python/workflows/Build/badge.svg?branch=master

Python wrapper for OSQP: the Operator Splitting QP Solver.

The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form

minimize        0.5 x' P x + q' x

subject to      l <= A x <= u

where x in R^n is the optimization variable. The objective function is defined by a positive semidefinite matrix P in S^n_+ and vector q in R^n. The linear constraints are defined by matrix A in R^{m x n} and vectors l in R^m U {-inf}^m, u in R^m U {+inf}^m.

Installation

To install osqp for python, make sure that you’re using a recent version of pip (pip install --upgrade pip) and then use pip install osqp.

To install osqp from source, clone the repository (git clone --recurse-submodules https://github.com/osqp/osqp-python) and run pip install . from inside the cloned folder.

Documentation

The interface is documented here.

Packaging

This repository performs the tests and builds the pypi wheels. Conda packages are on conda-forge.

Project details

Release history Release notifications | RSS feed

1.0.0b1 pre-release

Jun 1, 2023

1.0.0a3 pre-release

May 28, 2023

1.0.0a1 pre-release

May 28, 2023

0.6.7.post3

Oct 11, 2024

0.6.7.post2

Oct 10, 2024

0.6.7.post1

Jul 23, 2024

0.6.7.post0

Jun 25, 2024

This version

0.6.7

May 22, 2024

0.6.6

May 22, 2024

0.6.5

Feb 5, 2024

0.6.4

Feb 3, 2024

0.6.3

May 26, 2023

0.6.2.post9

Apr 14, 2023

0.6.2.post8

Nov 22, 2022

0.6.2.post5

Jan 7, 2022

0.6.2.post4

Dec 28, 2021

0.6.2.post3

Dec 28, 2021

0.6.2.post2

Dec 28, 2021

0.6.2.post1

Dec 28, 2021

0.6.2.post0

Jan 14, 2021

0.6.2

Jan 6, 2021

0.6.1

Aug 31, 2019

0.6.0

Aug 31, 2019

0.6.0.dev18 pre-release

Aug 19, 2019

0.5.0

Dec 11, 2018

0.4.1

Sep 27, 2018

0.4.0

Jul 24, 2018

0.3.1

Jun 11, 2018

0.3.0

Mar 5, 2018

0.2.1

Nov 25, 2017

0.2.0

Nov 23, 2017

0.1.3

Sep 21, 2017

0.1.2

Jul 21, 2017

0.1.1

Apr 11, 2017

0.0.0

Dec 28, 2021

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

osqp-0.6.7.tar.gz (228.7 kB view details)

Uploaded May 22, 2024 Source

Built Distributions

osqp-0.6.7-cp312-cp312-win_amd64.whl (293.3 kB view details)

Uploaded May 22, 2024 CPython 3.12 Windows x86-64

osqp-0.6.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (296.9 kB view details)

Uploaded May 22, 2024 CPython 3.12 manylinux: glibc 2.17+ ARM64

osqp-0.6.7-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (301.4 kB view details)

Uploaded May 22, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.7-cp312-cp312-macosx_11_0_arm64.whl (237.2 kB view details)

Uploaded May 22, 2024 CPython 3.12 macOS 11.0+ ARM64

osqp-0.6.7-cp312-cp312-macosx_10_9_x86_64.whl (251.7 kB view details)

Uploaded May 22, 2024 CPython 3.12 macOS 10.9+ x86-64

osqp-0.6.7-cp311-cp311-win_amd64.whl (293.0 kB view details)

Uploaded May 22, 2024 CPython 3.11 Windows x86-64

osqp-0.6.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (295.3 kB view details)

Uploaded May 22, 2024 CPython 3.11 manylinux: glibc 2.17+ ARM64

osqp-0.6.7-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299.7 kB view details)

Uploaded May 22, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.7-cp311-cp311-macosx_11_0_arm64.whl (237.2 kB view details)

Uploaded May 22, 2024 CPython 3.11 macOS 11.0+ ARM64

osqp-0.6.7-cp311-cp311-macosx_10_9_x86_64.whl (251.5 kB view details)

Uploaded May 22, 2024 CPython 3.11 macOS 10.9+ x86-64

osqp-0.6.7-cp310-cp310-win_amd64.whl (293.0 kB view details)

Uploaded May 22, 2024 CPython 3.10 Windows x86-64

osqp-0.6.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (294.5 kB view details)

Uploaded May 22, 2024 CPython 3.10 manylinux: glibc 2.17+ ARM64

osqp-0.6.7-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299.0 kB view details)

Uploaded May 22, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.7-cp310-cp310-macosx_11_0_arm64.whl (237.2 kB view details)

Uploaded May 22, 2024 CPython 3.10 macOS 11.0+ ARM64

osqp-0.6.7-cp310-cp310-macosx_10_9_x86_64.whl (251.5 kB view details)

Uploaded May 22, 2024 CPython 3.10 macOS 10.9+ x86-64

osqp-0.6.7-cp39-cp39-win_amd64.whl (293.0 kB view details)

Uploaded May 22, 2024 CPython 3.9 Windows x86-64

osqp-0.6.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (294.3 kB view details)

Uploaded May 22, 2024 CPython 3.9 manylinux: glibc 2.17+ ARM64

osqp-0.6.7-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (298.8 kB view details)

Uploaded May 22, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.7-cp39-cp39-macosx_11_0_arm64.whl (237.3 kB view details)

Uploaded May 22, 2024 CPython 3.9 macOS 11.0+ ARM64

osqp-0.6.7-cp39-cp39-macosx_10_9_x86_64.whl (251.5 kB view details)

Uploaded May 22, 2024 CPython 3.9 macOS 10.9+ x86-64

osqp-0.6.7-cp38-cp38-win_amd64.whl (293.0 kB view details)

Uploaded May 22, 2024 CPython 3.8 Windows x86-64

osqp-0.6.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (295.7 kB view details)

Uploaded May 22, 2024 CPython 3.8 manylinux: glibc 2.17+ ARM64

osqp-0.6.7-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (300.1 kB view details)

Uploaded May 22, 2024 CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.7-cp38-cp38-macosx_11_0_arm64.whl (184.3 kB view details)

Uploaded May 22, 2024 CPython 3.8 macOS 11.0+ ARM64

osqp-0.6.7-cp38-cp38-macosx_10_9_x86_64.whl (251.4 kB view details)

Uploaded May 22, 2024 CPython 3.8 macOS 10.9+ x86-64

osqp-0.6.7-cp37-cp37m-win_amd64.whl (292.9 kB view details)

Uploaded May 22, 2024 CPython 3.7m Windows x86-64

osqp-0.6.7-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (293.1 kB view details)

Uploaded May 22, 2024 CPython 3.7m manylinux: glibc 2.17+ ARM64

osqp-0.6.7-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (296.7 kB view details)

Uploaded May 22, 2024 CPython 3.7m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.7-cp37-cp37m-macosx_10_9_x86_64.whl (251.2 kB view details)

Uploaded May 22, 2024 CPython 3.7m macOS 10.9+ x86-64

osqp-0.6.7-cp36-cp36m-win_amd64.whl (190.0 kB view details)

Uploaded May 22, 2024 CPython 3.6m Windows x86-64

osqp-0.6.7-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (232.1 kB view details)

Uploaded May 22, 2024 CPython 3.6m manylinux: glibc 2.17+ ARM64

osqp-0.6.7-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (233.4 kB view details)

Uploaded May 22, 2024 CPython 3.6m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.7-cp36-cp36m-macosx_10_9_x86_64.whl (190.2 kB view details)

Uploaded May 22, 2024 CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file osqp-0.6.7.tar.gz.

File metadata

Download URL: osqp-0.6.7.tar.gz
Upload date: May 22, 2024
Size: 228.7 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.0 CPython/3.9.19

File hashes

Hashes for osqp-0.6.7.tar.gz
Algorithm	Hash digest
SHA256	`3b701198557a499c60ebb53d7f25019064855c732f4f3fbce2055d789e53a61d`
MD5	`d087284a35fe825da3f9350cd6b4b87d`
BLAKE2b-256	`8dbe0be15e46ac1fadb746d686d2559589289ab8c1c769606065c1c96716fc72`

Algorithm	Hash digest
SHA256	`770c6d6e204e2726b75e85d2c1bbb9db72e5488d5487a8573e9b3458afd2e565`
MD5	`d4f98f68ca486096430d58dfc57d6c3e`
BLAKE2b-256	`fcb428c8dc3941d89d4fc273dda45ce77dc0940910dd2900b562f3002d8dcd7c`

Algorithm	Hash digest
SHA256	`1f01a1fe95d0d4347b3f08c8373bda517dae7d3b7af5b9cda4c093731fbc4285`
MD5	`213daf397530fb26c5449e9e9c3455f4`
BLAKE2b-256	`c9246879c1512838d5c4f5f0962a8a046d1a995f245de4787867d1567b69aac7`

Algorithm	Hash digest
SHA256	`4a1494833626ab2f08486f11f86c7617a4eb364fef8eee9789a6e41db2bf9648`
MD5	`81bfe32b0a57e9e3ae30f830f54bbe6c`
BLAKE2b-256	`628e4cad8d0a4e3f2b0c32c5e7e50e5d3fd6f05b2e36ccbea88debc7cb3c1ce3`

Algorithm	Hash digest
SHA256	`6089bd1eef603ed51daa1d01be7f6a74a7831f42392e371d93d8e1a5f019aef6`
MD5	`3f937724da22d1c214f008f64ccd3500`
BLAKE2b-256	`412b0dd973ec3ebed2d8c7677a3733eca8a466b94ebadfe7a02f955d2bb26666`

Algorithm	Hash digest
SHA256	`daa16e41c8c4e4bbd90cd9c42b43d2bb037dc434bcd507c56da83638dc834768`
MD5	`c3c7cbaa30309712e1eeb046b0b81a65`
BLAKE2b-256	`c395c20bf82c8e05a33c4468b6f6569b1039b0e7461828d10f947977f6997a05`

Algorithm	Hash digest
SHA256	`5d7ea12ab3e73c0eab4d44e126c3f8307ab925ea0a15747bd74be6e649519f88`
MD5	`6afc7136c3162ac2eb5b684def9b7fbd`
BLAKE2b-256	`3ccc573a38f9a58424fe0fe4e52e84614251d4740db3707834725eeb166df9ea`

Algorithm	Hash digest
SHA256	`fe5497db56ee8212911f8c659c528059b1d511732835a933e72267acb8919da4`
MD5	`83a385eacb586cf26f9d3e5a61aa9b4f`
BLAKE2b-256	`d4600890f6bec55e1268a55a8626b243d95913d49d95cb1241fcff59a8dd84a5`

Algorithm	Hash digest
SHA256	`dc39427ad6e6130c66341bdbd23090f483843878ed619fb400178d895f312429`
MD5	`2bb2c4b0bd3835531908029a0a2f3172`
BLAKE2b-256	`7935e6ef210e65bbc7c5f6a24b0c69beb9084bdd8e9c389c78b23d7d525f3389`

Algorithm	Hash digest
SHA256	`c8e55f0f2c82e21fa412a692c875ce5b5b2cc7c88c2119dee562f039f1a004bf`
MD5	`b03dc1d28d3156ffa29c62598f39e024`
BLAKE2b-256	`217a9b22959890f4a86e3a59943fd8a25244678ab82b62c34bc12d14a1da36e6`

Algorithm	Hash digest
SHA256	`a8fe026f25708e59952e779dfbc2499d55fd470f6743a2e97b1c43d18f05e776`
MD5	`d172eab6c9b260e4b3bb6c89b814d891`
BLAKE2b-256	`b185f885173d18d6044d20f6e38e015c1e5f9af62b277901855c3b51afdd1196`

Algorithm	Hash digest
SHA256	`77d7e381636ef8ca6349c880e81e1707831d2830181303269a8631ac281723b0`
MD5	`edcbd53639ee376ba63eeb6abf23a716`
BLAKE2b-256	`32ebf677c0620144db9b9621ba390f525e04f1cb976b1735fa9f449f2ebb59c2`

Algorithm	Hash digest
SHA256	`a2d5a75f64d0f2f28faaaf641c19d5bdcb7a5fe780bd261b48c6419099ac8c7a`
MD5	`36e81ae054208f79053d5faa3894995d`
BLAKE2b-256	`05310e4303664d679084fd74c0bb3da7a95babc6173432c60d9f14c02a3bd57a`

Algorithm	Hash digest
SHA256	`e3fb40324e9b13093d95b30c14b2d8b34795b657448da439d11df8d58edbc9bf`
MD5	`8aeb4852701495b157c0a748431e3dcf`
BLAKE2b-256	`ebe7c55beecad783c9d689e739e136e6c1b1de4728d1dbf5947224a083ac146b`

Algorithm	Hash digest
SHA256	`b894151a6f090558f2656ddc91ba13cb66ee355b7a238e5a97c834a2c0a454a4`
MD5	`9de16b8c1d9d85daf1c6a57a202fe3ff`
BLAKE2b-256	`621c60775525b3c69bcf900efd41501457b26508e85e1d3e78d13367f9554429`

Algorithm	Hash digest
SHA256	`6d582ee24024a123a91fdba69d7c47cb74b404b1803b7fea11737ad3c0991af9`
MD5	`e024b508f7a23191cdf639a800174ec1`
BLAKE2b-256	`12ac585470b4b04755bc3fcd62ef6dfffbcf61a5ade7237cd67bf3f53a4a6225`

Algorithm	Hash digest
SHA256	`df777db88b3959444aa021768ad3acfc0930ac6f60de7fffdecc596c6e2940e2`
MD5	`69245b0bef386f90511a4235bea346a3`
BLAKE2b-256	`e52150fac1bfd589a5fb1abd503044c5a68a3c0ad037a5a4816121d9836beb99`

Algorithm	Hash digest
SHA256	`47efdd82ee15baf6b2dce19fcda159e42dd23c04281c993ca35df7325ce2e342`
MD5	`cb293f7e6b0415856a2f5a091b6cdbcf`
BLAKE2b-256	`807274a27dd566110d03e2f8fadf68eb9a3ed50e727a690b230cdb56788d667a`

Algorithm	Hash digest
SHA256	`240b6af874dfced85283d2defdae5432381094cf576e3815238cbcfe368e22c6`
MD5	`a701387b781b9f83da593b5bb0896b43`
BLAKE2b-256	`d72cd40b55658f3e65105f572c5453c94c9516e1119a11f6a8dfd5c9b7409777`

Algorithm	Hash digest
SHA256	`f99490aa49d5fbee08d9a10babc9cecabe00e1061f4fd32f5733083fe0c9a755`
MD5	`b76f0f8adb3b71826e44dca6cb5f3184`
BLAKE2b-256	`dedf131724728c4118155980c501ed7d9ef10f2478706833b5745c969a969221`

Algorithm	Hash digest
SHA256	`acc91840efd12de1e05e1b6326e79b3d3a720fa589b0ddec4d071d4189cebba9`
MD5	`a9bb682f161a95a666ad1d10bc343cce`
BLAKE2b-256	`a9530d72ea5ff0b81b2f9a463c19109633e3788535fc65f4fbbd762f9c3fce90`

osqp 0.6.7

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Project description

Installation

Documentation

Packaging

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

Algorithm	Hash digest
SHA256	`9b363f4875c9e039ccc219957dd170344b12b04346325ec37bd8924df11af343`
MD5	`bf3d8f87b5ed1124145506225516d2c7`
BLAKE2b-256	`f9f764d048380b4d5ca3d5dc34cffaa1ffb4588214648363e7307332d16956b9`

Algorithm	Hash digest
SHA256	`3e1e4070d68a75e64bf0aa53f82e382ea82a2255ba9443916d46f69d6cdb7c3a`
MD5	`975d510702c6e866ec734744393a218b`
BLAKE2b-256	`5676d44d9f3510cf0d3b2ab2f7a3e6312a835aab384738dc6ea364a77d12aa25`

Algorithm	Hash digest
SHA256	`96741fe1497b4a6c6029716f97414a205fc82bbb9e3b63a1d42c436be41f0d37`
MD5	`44f329e11616b23ab94b6067b7ad4efb`
BLAKE2b-256	`ebf5903f18a5f7c632bb1387c1f6492236be710ac2e96a34142fe7c42162839e`

Algorithm	Hash digest
SHA256	`2fdcee161fb46e05e3002fbe58b3b5d19079c2a7b0884fd675d709f148a80c02`
MD5	`57ae20f9b0ea4c860b444c60f5df6a66`
BLAKE2b-256	`a156608287349535de8769acf2ee2f1305cffd991fa89cef962476e624b428a3`

Algorithm	Hash digest
SHA256	`a434f391abc005e832f4f43068043d452f93c074c04119cc5813d56d3a314a47`
MD5	`e50d2e290b5b4118d50be13c8adf6546`
BLAKE2b-256	`7b9ba2b680e502eea3b9253c849f87dc556ed6e0ed106b619b114d6b7257ee47`

Algorithm	Hash digest
SHA256	`f0ce232af43a8196e5a88868cd7b2fe8774e3c655bda2e6767f9976840379baf`
MD5	`0d2e754fb91174166c5c3563395b9e49`
BLAKE2b-256	`6ef880873cb0b5baa9cc8f1533e9182f9ee60103f46def2ca27b5942932b8e77`

Algorithm	Hash digest
SHA256	`2013acc27fb762e8049b7749b4aae2a72b51823c7c7325318c724c6fa58fb7ad`
MD5	`881109b61a3c40a9b31d4d7d799a832a`
BLAKE2b-256	`f87f518f8c0640b8a971af6f19e57bcaf58c518807f944b6bf27a52761cf81ed`

Algorithm	Hash digest
SHA256	`208e402d524ca8120c7c8f486446fd4cf03d23c028ec8f3700de8abb7642426f`
MD5	`87d2bd97bdaa4890f8ef940ae1f22521`
BLAKE2b-256	`e1fde3b9aaa9767710770bec5daeab2645f59ea3ceeee2ec87b124ce753de2d1`

Algorithm	Hash digest
SHA256	`892647afc34ed8351be19e7305a4dbbbb585a3993dcca8389f2ff3a1925bb74d`
MD5	`64a3563018cae4541b2a1f99f45d841b`
BLAKE2b-256	`8f47c7931e835f577a50aa0892e3127adbdd207c4c8deff3e9731b731a1807e9`

Algorithm	Hash digest
SHA256	`77737ed09b7fa4f2c117becaea4b3aab7bf45dc9750e4a55f4a3c85a159fbca4`
MD5	`e735defcc7e703b87801f1d2c6dfb36e`
BLAKE2b-256	`862f0ce02a5770a17ca975a7cb8f95b3dbc4fdd82394447e741502202c5b2d98`