Quasi-Newton algorithms and other accelerators
Project description
quala
Quala implements different accelerators for optimization solvers, root finders and fixed-point methods, such as Broyden-type quasi-Newton methods and Anderson acceleration.
The algorithms are implemented in C++, and are available through a Python interface.
Installation
The Python interface can be installed from PyPI
using pip
:
python3 -m pip install quala
Installation instructions for the C++ library can be found in the documentation.
Examples and documentation
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
Built Distributions
File details
Details for the file quala-0.0.1a1.tar.gz
.
File metadata
- Download URL: quala-0.0.1a1.tar.gz
- Upload date:
- Size: 24.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2e5424b8eceec73a90448b8eff4b191e9f712dd84399cdee3402405f24198f62 |
|
MD5 | d99a374d0313dea2c8e8ba6b59549abc |
|
BLAKE2b-256 | ba65521748b09cb0f7d90ea798613238be30de3e2a070cec25292c28e099ec7c |
File details
Details for the file quala-0.0.1a1-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 142.6 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.0rc2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f84a2939c6e05001a8f0f5195b0e4c85958285a4b61a141aedd4f25534caa7a9 |
|
MD5 | 6c296a619022105560f0321eee56aa23 |
|
BLAKE2b-256 | 073750a8428188e278901fbd3245cdadd84bdb017bead5d4dee809043b4d86cf |
File details
Details for the file quala-0.0.1a1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 2.4 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.0rc2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c9a9df946765e23aa6fd9cebef089043637710449d300b69a6f568821cd9507a |
|
MD5 | 96749caa4c052bc54122933f5c027f34 |
|
BLAKE2b-256 | 662340a7b849393f1584e45f5a5dcba7a072f77b809ff7dc9e32396faefeefd0 |
File details
Details for the file quala-0.0.1a1-cp311-cp311-macosx_10_9_universal2.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp311-cp311-macosx_10_9_universal2.whl
- Upload date:
- Size: 205.9 kB
- Tags: CPython 3.11, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.0rc2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 005e41aff8b8d31f5be90f96e6ffd886eaa2e6d87193661ac67d2535d1d48e48 |
|
MD5 | f0f4bc66103de999dfec4b8a1f140351 |
|
BLAKE2b-256 | 79b43f6aaa6f6e614c65e8ad596e92027e16fdf5f82bf4a279b0e822490d023e |
File details
Details for the file quala-0.0.1a1-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 142.6 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f57d5accf74f83da1f98de926d742a6907038c638f8d5bbbe4b8a639b79adaf2 |
|
MD5 | adc46aa030bb68b3afe60c89bf2262aa |
|
BLAKE2b-256 | 30ef335d51994032a2680d080d2d600ee00031d9db40fadea8dd047c6fe16524 |
File details
Details for the file quala-0.0.1a1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 2.4 MB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2a2c5b4a6ec80fbeba3f76ec1d7da0de4cb39fba97b2a48f28aa107b15a5eb47 |
|
MD5 | c4d64bc8c4be69c07521a7a30f9d73f8 |
|
BLAKE2b-256 | 5753de279ac9c488a1294bf75eb05a7dba738277ee14250013aec67dae0ce37f |
File details
Details for the file quala-0.0.1a1-cp310-cp310-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp310-cp310-macosx_10_15_x86_64.whl
- Upload date:
- Size: 205.9 kB
- Tags: CPython 3.10, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 13214b6d7116c749eda3be69399237ae10ec289f141a640d1065b5056379e722 |
|
MD5 | 5df5154eebb9d8f62aebaa834a258446 |
|
BLAKE2b-256 | 9606b09e44863e3a760d2f5c4c5b2a7463a06b64e337266820fb32d7d979143c |
File details
Details for the file quala-0.0.1a1-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 142.7 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d86bd187b29e620ea4eca692fac41c98177d20f2aaa8878fb0ebd71a0bb0ad9 |
|
MD5 | f64a2b2ef0f3aeea97e3092cc11b58bb |
|
BLAKE2b-256 | 27465e37a4dfd6ebe0b6ae4c064280153b70870abf7377919dde95500b099b73 |
File details
Details for the file quala-0.0.1a1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 2.4 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5117d4715e27854ac32f7b6e005e78697f9955ba0470809b0898481d0a2ecd1b |
|
MD5 | db2a77429e2718543a9432876155ce6d |
|
BLAKE2b-256 | 0cf3f42695975728ce712757263f4d803483d12b68f1451a1a0ed2713efcf00a |
File details
Details for the file quala-0.0.1a1-cp39-cp39-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp39-cp39-macosx_10_15_x86_64.whl
- Upload date:
- Size: 206.1 kB
- Tags: CPython 3.9, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7b94ff5d04db25992b9a229834f89fdbf413d9d7cfeb91f38346156d1f0cc6d6 |
|
MD5 | f878415407d1de1492b0463960983388 |
|
BLAKE2b-256 | 0f7d927722e5abe89ac883fa49c223259d71429ace48c81dc7e6a5b199bf0150 |
File details
Details for the file quala-0.0.1a1-cp38-cp38-win_amd64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 142.7 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 21ffd0ddcb588d10ea04f9036f1fb5c440c6dc2a223d3aa0c3c08bfdb7301ee3 |
|
MD5 | 91eabc9a1a0367638bef4fc31d028ed7 |
|
BLAKE2b-256 | afb0f306531bd89d2d5ffdab8e5159aedd855f6c66125892d76e90376a72f18c |
File details
Details for the file quala-0.0.1a1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 2.4 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7a7c96b351851966b354e315f12c1b2f801df5192876c8ef067136023d16eea4 |
|
MD5 | 57f4243c9372cf7a44d2f84636bdcbbf |
|
BLAKE2b-256 | 0d6581e9f09bb556f0c6c4c5d2878ca28c8cdd4206c9bb1443c9656a87762ae0 |
File details
Details for the file quala-0.0.1a1-cp38-cp38-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp38-cp38-macosx_10_15_x86_64.whl
- Upload date:
- Size: 206.0 kB
- Tags: CPython 3.8, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c22d8a38892b45f11f74d5071cb141c97dd63805c670870095c0aa1bbcc9d1a4 |
|
MD5 | 0223806ee54630f34805ab25399e5e5d |
|
BLAKE2b-256 | d8d16265abab09a9e81ca020c2f2cba3e6645a9a531a36dd23f29893cfb7b08b |
File details
Details for the file quala-0.0.1a1-cp37-cp37m-win_amd64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp37-cp37m-win_amd64.whl
- Upload date:
- Size: 141.8 kB
- Tags: CPython 3.7m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 94e6c72dcedba5dbca0d7805642ed40cd76cd729820e5ff8e5b4b33a73be7c9d |
|
MD5 | 158fa975be437065c6cd2b42adffd1da |
|
BLAKE2b-256 | 6c5955c3690bf15bb472aaef5ff43d0f03719eb0f6664b8feaf6ad50ac9d45e6 |
File details
Details for the file quala-0.0.1a1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 2.4 MB
- Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 684b2fba685c19b4cef1bf0481eec5c44a27086d350738382b96571cc8731ae1 |
|
MD5 | e710ecd3565e3fbb427d14b15d9ef49f |
|
BLAKE2b-256 | ff8d38d7b1156c0f7ba0415e6c795c757bf70d0eaa33bebcc18239d4b91b20d6 |
File details
Details for the file quala-0.0.1a1-cp37-cp37m-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: quala-0.0.1a1-cp37-cp37m-macosx_10_15_x86_64.whl
- Upload date:
- Size: 203.6 kB
- Tags: CPython 3.7m, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 035a47b9517f1a3e6ae64d780e4f9feffa3b3cb43c5c16af4037c5673081211b |
|
MD5 | 41e68cda425d3e7ed6f4dc5c58d9dc27 |
|
BLAKE2b-256 | 858db179bc6daadd5b802000eb3e0de55640367310664dca04e63c7a2bf60d69 |