LBFGS and OWL-QN optimization algorithms
Project description
The author of this package has not provided a project description
Project details
Release history Release notifications | RSS feed
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)
Built Distributions
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1670e469cbeab85659f9da93d1745b54c804f4610069c2e782a88da4b90a2720 |
|
MD5 | f2c700027cc093d77bb10ce7254d91f3 |
|
BLAKE2b-256 | 0d7e50dff18bbe7e00d32d233192777c50369a224e3a073e74c66765bffea662 |
File details
Details for the file PyLBFGS-0.2.0.7-cp36-cp36m-manylinux1_x86_64.whl
.
File metadata
- Download URL: PyLBFGS-0.2.0.7-cp36-cp36m-manylinux1_x86_64.whl
- Upload date:
- Size: 209.8 kB
- Tags: CPython 3.6m
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c9868231d9f3e8b5f81c8ad08d5cbc6e7df8086a0cca4d7ee02747005cab6353 |
|
MD5 | e5aa9c39e10c8a4309389dc3ddb8bc17 |
|
BLAKE2b-256 | 94cfc48ccf1210b9e4d364744a1b7625a973773d0d64b6d1fe16696feb448f2a |
File details
Details for the file PyLBFGS-0.2.0.7-cp35-cp35m-manylinux1_x86_64.whl
.
File metadata
- Download URL: PyLBFGS-0.2.0.7-cp35-cp35m-manylinux1_x86_64.whl
- Upload date:
- Size: 202.1 kB
- Tags: CPython 3.5m
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 26f9a9f9533794ff79acf420ecb03aa8a3cb396e6d8b589c7ef5cd80ee137c36 |
|
MD5 | 8fff73bc7ccdc9b35ccfc038946cc271 |
|
BLAKE2b-256 | 59a1b5ac114a5c81142bdb80812d0f1c7db714f6ddbb8b7e604ba15f732888a6 |
File details
Details for the file PyLBFGS-0.2.0.7-cp34-cp34m-manylinux1_x86_64.whl
.
File metadata
- Download URL: PyLBFGS-0.2.0.7-cp34-cp34m-manylinux1_x86_64.whl
- Upload date:
- Size: 207.8 kB
- Tags: CPython 3.4m
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c35ea6692cf712e8d2df0dce98c899eb9a3a4c1b7d69e24d6a9c40221c0dcb21 |
|
MD5 | 397f646c31ad37afa457315a6a63b9e8 |
|
BLAKE2b-256 | b92c4de54512c05a004910014dfeb98ed3d86006044dec8a05d32867213af8cb |
File details
Details for the file PyLBFGS-0.2.0.7-cp27-cp27mu-manylinux1_x86_64.whl
.
File metadata
- Download URL: PyLBFGS-0.2.0.7-cp27-cp27mu-manylinux1_x86_64.whl
- Upload date:
- Size: 185.9 kB
- Tags: CPython 2.7mu
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e64bbae26533ab9aefcee1187123f17e2fca8dd2c010b40ee5f6829032bdac2c |
|
MD5 | 30e2bec3c3f24f3368c4415e9e02b15a |
|
BLAKE2b-256 | afc338506104d47fcd2494085bce8bc64ee2d66be51aa1df463108c609218548 |
File details
Details for the file PyLBFGS-0.2.0.7-cp27-cp27m-manylinux1_x86_64.whl
.
File metadata
- Download URL: PyLBFGS-0.2.0.7-cp27-cp27m-manylinux1_x86_64.whl
- Upload date:
- Size: 185.9 kB
- Tags: CPython 2.7m
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9cf02a667f296d4ef8f375c2a49c71d30bb9777c0bc8fe165986bf8881fe9e6d |
|
MD5 | aaf50a38e3b9b3bf4778d263501e38a8 |
|
BLAKE2b-256 | ad37187de43743d2ee73ba7366c5f35ec9989444af8c347ba55b5469bc0438e6 |