Skip to main content

Quadratic Programming Solver with wheel packages

Project description

Minimize 1/2 x^T G x - a^T x

Subject to C.T x >= b

This routine uses the the Goldfarb/Idnani dual algorithm [1].

References

  1. D. Goldfarb and A. Idnani (1983). A numerically stable dual method for solving strictly convex quadratic programs. Mathematical Programming, 27, 1-33.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

quadprog_wheel-0.1.11-cp310-cp310-win_amd64.whl (79.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

quadprog_wheel-0.1.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (454.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

quadprog_wheel-0.1.11-cp310-cp310-macosx_10_9_x86_64.whl (95.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

quadprog_wheel-0.1.11-cp39-cp39-win_amd64.whl (80.4 kB view details)

Uploaded CPython 3.9 Windows x86-64

quadprog_wheel-0.1.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (455.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

quadprog_wheel-0.1.11-cp39-cp39-macosx_10_9_x86_64.whl (94.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

quadprog_wheel-0.1.11-cp38-cp38-win_amd64.whl (80.2 kB view details)

Uploaded CPython 3.8 Windows x86-64

quadprog_wheel-0.1.11-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (456.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

quadprog_wheel-0.1.11-cp38-cp38-macosx_10_9_x86_64.whl (92.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

quadprog_wheel-0.1.11-cp37-cp37m-win_amd64.whl (78.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

quadprog_wheel-0.1.11-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (428.1 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

quadprog_wheel-0.1.11-cp37-cp37m-macosx_10_9_x86_64.whl (92.6 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

quadprog_wheel-0.1.11-cp36-cp36m-win_amd64.whl (88.6 kB view details)

Uploaded CPython 3.6m Windows x86-64

quadprog_wheel-0.1.11-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (426.9 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

quadprog_wheel-0.1.11-cp36-cp36m-macosx_10_9_x86_64.whl (92.5 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file quadprog_wheel-0.1.11-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b8d180fcf46d81f2e787f184a16c8465df2f568135134634c0783d821a29145b
MD5 bd2faec24f2e676221be882314706f77
BLAKE2b-256 0fbedb8acf2d8255b0fa97c849d90142841e62c778e3d936ac957f7580d01068

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ccaf776032a2546532d956f625de798b66e6ac2fbccbeb8f149b14a62a1f8a5d
MD5 aebfb07725746976bfb4730832dcea9e
BLAKE2b-256 fc279bab7810130062f7034762f87c638fc36952dab5fb29811c5d4cbb1545b5

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2834a2afbe3aef693c2bd344248d7990024e623a147ea708943bf980d2498be5
MD5 ca0a2db0220c281ed318b52f635373af
BLAKE2b-256 f092e29cca638004c5ead11cbf51791a950f2870ab29ed48a465b8187486947a

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 20ed17cd0fd0f03335d6b1ffc66eb64a6cd1e51e44903ecf6ea7ac658fb596be
MD5 c44b9a2e2aadcce212a387a3dbc8d8ad
BLAKE2b-256 26642fce450609fc7bac2aac5fdaff78c323ee4b83a95d500b314977cccb4fd6

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c2bd0f409321f81aa498bf65864a0356368f5917ba3c793d4f13e02a84086f8f
MD5 585e89e41ac0b4e55d567d36693e78ab
BLAKE2b-256 a4c610be864fa34e0671dd9aa39ea47b53a9fcf60caf5d91614bbef5c87078e1

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 111543c83e7ca120813a9e48d42de418917340e4abdaffb89803fbacaaa1c4a9
MD5 d3694f1dfd1fcedd42fedc08e6076d87
BLAKE2b-256 647f693164424a77ce2934c2727a659f50ed8e2cdfd736a54da75f1675b7eee4

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c8b60159fba6f32aa89d56637b1efaedf0d2c3e9d21780e70921b4b7d62c5745
MD5 047b6860d2f8f7b9594cd2ced6a7ca9e
BLAKE2b-256 7a626f4f072723d9ec46db86af2e26acae7de358785e7453577bafd243f3c831

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 09cea8ae4764a9f67edf10204c261769dc04b8071701b28ecfbfd7bb9f7eecb9
MD5 8f5bb21cd84f335b850dba6eb526f702
BLAKE2b-256 be0382dc351f0b7cf0b1e4d98f0ab7b2b2e7b673cd5106e9acb4cfa49a9db747

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1c448379306d0325e11632c7cecd595064273f1644672eb485c58767e8f7f484
MD5 13e50dcd11b40ade2625af559ac167cb
BLAKE2b-256 1a9f2c6e37ae3685e0a57f5a3842d626da8abe757477b0213a1aa65911cb9e3f

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 fe14754e1063d5e78567616b0d7dd2e81eea388ec80895734a6dd007899d612d
MD5 3d707db11f8b10c7e3f7138141bf8e84
BLAKE2b-256 b0613a97d5e24aaac2a37daead37551d0dfdc9ac274a3f57772630e27c37054e

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 086476089769c662dae2abd907b8e1eec807a47c62acb2903fd241a49f205304
MD5 38022497f1afd36ab49e023af3e7e60d
BLAKE2b-256 656175ff4f5a3c190e49735a45e16ac6665ba4c08a8a8a4c28b6551ff2612b11

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4b1f557e69aa52eafd93618d05d5175158c4e4dabf853a22cd46070c2a05f5ba
MD5 af30b9325e1bbf876a66ae6ceaebde12
BLAKE2b-256 ca0e4fd02dd35f2fef73b3c0a5c1088f82f2d569c0c9929c34084e08a3c4948e

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 b10efca9743ac0f484039ffc3efb7e4b46fe88217c66edc72facf42054abed6f
MD5 fbb4fdbab1d10618780efe90668cd093
BLAKE2b-256 b9adfeb8b2af8973c5fb668eb7c80f0c4c35691268d0b829ad4296c63b9f25bd

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c3457ceeb042355f5a9f234b510ca02ccc08f45d5278e11f99722fbee3502b97
MD5 8aec6af56ee0f9eef56c10f54a5cc713
BLAKE2b-256 896ab7bf0601a37fda742829963b3634cdd4aa0ceca300eb820b8cec6772d08f

See more details on using hashes here.

File details

Details for the file quadprog_wheel-0.1.11-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quadprog_wheel-0.1.11-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dc731b3bac1ecba75a1e6436c12f0c733d40f7d7a9a835d51ff36c1bd2af6748
MD5 e9ba3a9bf8ebe070a8dd247dc8fb1f38
BLAKE2b-256 5b5b94019cd6e6a27d7d80d4a51f48d7fd2d051ccd4c61cad3a0d2de8024bab7

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