Skip to main content

LBFGS and OWL-QN optimization algorithms

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distribution

PyLBFGS-0.2.0.7.tar.gz (100.1 kB view details)

Uploaded Source

Built Distributions

PyLBFGS-0.2.0.7-cp36-cp36m-manylinux1_x86_64.whl (209.8 kB view details)

Uploaded CPython 3.6m

PyLBFGS-0.2.0.7-cp35-cp35m-manylinux1_x86_64.whl (202.1 kB view details)

Uploaded CPython 3.5m

PyLBFGS-0.2.0.7-cp34-cp34m-manylinux1_x86_64.whl (207.8 kB view details)

Uploaded CPython 3.4m

PyLBFGS-0.2.0.7-cp27-cp27mu-manylinux1_x86_64.whl (185.9 kB view details)

Uploaded CPython 2.7mu

PyLBFGS-0.2.0.7-cp27-cp27m-manylinux1_x86_64.whl (185.9 kB view details)

Uploaded CPython 2.7m

File details

Details for the file PyLBFGS-0.2.0.7.tar.gz.

File metadata

  • Download URL: PyLBFGS-0.2.0.7.tar.gz
  • Upload date:
  • Size: 100.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for PyLBFGS-0.2.0.7.tar.gz
Algorithm Hash digest
SHA256 1670e469cbeab85659f9da93d1745b54c804f4610069c2e782a88da4b90a2720
MD5 f2c700027cc093d77bb10ce7254d91f3
BLAKE2b-256 0d7e50dff18bbe7e00d32d233192777c50369a224e3a073e74c66765bffea662

See more details on using hashes here.

File details

Details for the file PyLBFGS-0.2.0.7-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for PyLBFGS-0.2.0.7-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c9868231d9f3e8b5f81c8ad08d5cbc6e7df8086a0cca4d7ee02747005cab6353
MD5 e5aa9c39e10c8a4309389dc3ddb8bc17
BLAKE2b-256 94cfc48ccf1210b9e4d364744a1b7625a973773d0d64b6d1fe16696feb448f2a

See more details on using hashes here.

File details

Details for the file PyLBFGS-0.2.0.7-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for PyLBFGS-0.2.0.7-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 26f9a9f9533794ff79acf420ecb03aa8a3cb396e6d8b589c7ef5cd80ee137c36
MD5 8fff73bc7ccdc9b35ccfc038946cc271
BLAKE2b-256 59a1b5ac114a5c81142bdb80812d0f1c7db714f6ddbb8b7e604ba15f732888a6

See more details on using hashes here.

File details

Details for the file PyLBFGS-0.2.0.7-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for PyLBFGS-0.2.0.7-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c35ea6692cf712e8d2df0dce98c899eb9a3a4c1b7d69e24d6a9c40221c0dcb21
MD5 397f646c31ad37afa457315a6a63b9e8
BLAKE2b-256 b92c4de54512c05a004910014dfeb98ed3d86006044dec8a05d32867213af8cb

See more details on using hashes here.

File details

Details for the file PyLBFGS-0.2.0.7-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for PyLBFGS-0.2.0.7-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e64bbae26533ab9aefcee1187123f17e2fca8dd2c010b40ee5f6829032bdac2c
MD5 30e2bec3c3f24f3368c4415e9e02b15a
BLAKE2b-256 afc338506104d47fcd2494085bce8bc64ee2d66be51aa1df463108c609218548

See more details on using hashes here.

File details

Details for the file PyLBFGS-0.2.0.7-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for PyLBFGS-0.2.0.7-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9cf02a667f296d4ef8f375c2a49c71d30bb9777c0bc8fe165986bf8881fe9e6d
MD5 aaf50a38e3b9b3bf4778d263501e38a8
BLAKE2b-256 ad37187de43743d2ee73ba7366c5f35ec9989444af8c347ba55b5469bc0438e6

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