matrix-decomposition

View on PyPIReverse Dependencies (0)

1.2 matrix_decomposition-1.2-py3-none-any.whl

Wheel Details

Project: matrix-decomposition
Version: 1.2
Filename: matrix_decomposition-1.2-py3-none-any.whl
Download: [link]
Size: 68465
MD5: 255432e9ea7e0dba0e344196ae342e8f
SHA256: 55804eb77e6f80569fcf7e1cbefc34318ff5ea4ce146237647a3be805479af4b
Uploaded: 2019-11-30 13:46:59 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: matrix-decomposition
Version: 1.2
Summary: This library allows to approximate Hermitian (dense and sparse) matrices by positive definite matrices. Furthermore it allows to decompose (factorize) positive definite matrices and solve associated systems of linear equations.
Author: Joscha Reimer
Author-Email: jor[at]informatik.uni-kiel.de
Home-Page: https://github.com/jor-/matrix_decomposition
License: AGPL
Keywords: approximation Hermitian dense sparse matrix matrices positive definite decompose factorize decomposition factorization linear equation equations Cholesky
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: Python
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.15)
Requires-Dist: scipy (>=0.19)
Requires-Dist: scikit-sparse (>=0.4.2); extra == "decompose_sparse"
Provides-Extra: decompose_sparse
[Description omitted; length: 3972 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
matrix/__init__.py sha256=Ck5a-d2kRFA4fN5EeIrmArh_iyTXaOxz6PhONh9NxDE 1947
matrix/_version.py sha256=DivTsHN-5Vc9zRePFFSxrf-3pjElnl0QBF7uM6HSNdM 495
matrix/approximate.py sha256=_EWlpOBVJaRRK4Wp_Bty2UtHWp66_pt3N0rhWlCu2sg 677
matrix/calculate.py sha256=JGSkquKEgFRPZh2oNN7p60Y2AQH4jmnihg1kw3jCIWA 9108
matrix/constants.py sha256=DJjt-mT0MvprcSQD3bGQzQYabKYClIrSd5WMi-GQhs0 2261
matrix/decompositions.py sha256=hP5TAwhbpcNzu2uszrmKhCwsI4BndPjy94qWmKmZjEU 47008
matrix/errors.py sha256=_PwB0pIE_ZpEsftTbbWHnhvWt4ATc7b7hKFlsFUBsTw 6541
matrix/nearest.py sha256=LmIGUpO98FmErpeHRlrk1sT7NUDngUK-7JHnzL7etko 11684
matrix/permute.py sha256=GPh7cXyQMAjtrzWT7xNa6S_XG9m6tSnaNoQTbMDJ8oY 4733
matrix/util.py sha256=dXn0sLI4HWTMT_-3KzcVvrQzvoNWQg2eHUdY9YK5Ba0 5453
matrix/_util/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
matrix/_util/roots.py sha256=Wavg9HSD1DwTsbDFlhuylRydrP6-DRAwEXb85AGy7uw 1862
matrix/approximation/__init__.py sha256=5KTojj6FVaaWyJDY9oUBG5W9SPvsLqS1u33kY7lJFTw 55
matrix/approximation/positive_semidefinite/GMW_SE.py sha256=V61urtA-oKnSbZeP3qIhaD6H2OHXhBpkcMH1Zp3ZXVs 21690
matrix/approximation/positive_semidefinite/Reimer.py sha256=qeNCJwp7Pq7LPuoP5YmnK36R7o93VDVn2ZbAI37ms7k 46189
matrix/approximation/positive_semidefinite/__init__.py sha256=2ESOubT9YhO3oL0_gQHMpGK6jKUCatVgGOCYrLWMyDQ 1056
matrix/dense/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
matrix/dense/calculate.py sha256=s5Q-SDZi6TsHNddAcCoPgo3SS07PDVnSmLke3bqmg1o 7053
matrix/dense/constants.py sha256=ykDQu4bXIKtQxV1e1ZKS92hMoiyZFS1Tbkq-dgkbzfk 199
matrix/dense/permute.py sha256=eGemhKZZgkunGkSdRwScupcx9PWZhUSECZNL511fFUA 655
matrix/dense/util.py sha256=X7OyZmYThcf_6UMgoDmS3arqpJ1nnD2rcQixmUiFnSo 845
matrix/sparse/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
matrix/sparse/calculate.py sha256=DHAGKqrDh-7oACNhn-xiTxP53Zul3Sh1SJXs0we6IWM 9350
matrix/sparse/constants.py sha256=yDpXRwX16dhqaTV48qqpcNgK6CSA9ETpBtBN5TB4iD0 2886
matrix/sparse/permute.py sha256=x6p3I3hQtGEQ55LoWPY11t1hYF6WCuR-ehYh0YZm8ys 7055
matrix/sparse/util.py sha256=1SVY9861tsQW57lV6E0OUY4bcxZUW_j9ILeTEhzMad0 5016
matrix/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
matrix/tests/random.py sha256=jube0KtprIA2hykjS51_J31UjdUls28XKCPMfmHsq0c 5075
matrix/tests/test_append_block_decomposition.py sha256=zuiTqvSD4k4o7QHLPdUZdbdnyiWBtMmFUYPiXJl0g1U 1373
matrix/tests/test_approximate.py sha256=_PO_auZhQMgDQ3N4DnY7-JdGCYQwMjdvVCSZwASKpJE 20523
matrix/tests/test_convert.py sha256=iKwFJEqDRIh7UUSYGyKBj7yIhvVwbmMXBwia3IqHYgU 961
matrix/tests/test_decompose.py sha256=kwsus7egJYdq4GP-m-g4ZC8PtVkoW6mUe6A5-7FPKDE 1952
matrix/tests/test_equal.py sha256=ueXW7FBYhlXZxYy1LFTD5q-S9G2d2PGGfWH0gXVM27k 2630
matrix/tests/test_io.py sha256=BPplfNJcxjy63KTMjACzYiqqk_ldeKz6-aFbiA_db-s 1876
matrix/tests/test_is_finite.py sha256=UwjZms_vmstbU8p1ZDo6nPIay6bMv91dQayhPw4d1rQ 961
matrix/tests/test_is_invertable.py sha256=nuFmlOO47NPDIhsVmO9vqITdn-ihHUt0Ay12JmpePok 1020
matrix/tests/test_is_positive_definite.py sha256=N-GlPllxORJhuvcLpxys00X46lsEPrQmXMv-WDnG9Ec 721
matrix/tests/test_multiply.py sha256=uHJdF505ahycdqBtvRt_ZAsksh-ByE7D2F5Wcnkr7WQ 2348
matrix/tests/test_permute.py sha256=4L7qv3Cjqe1sQETwcnFV8iXrVEihYNTOHb14cwx29Dw 2314
matrix/tests/test_solve.py sha256=rKD9o0L9r00KNKFQ49_WhfMFlzGG-_xINUK2COIWMn0 1188
matrix/tests/test_solver_depressed_cubic.py sha256=pt5SnlI7V_TqwT3iRppoaS3mv88tiTWSgIN8md4FCPY 855
matrix_decomposition-1.2.dist-info/LICENSE.txt sha256=Qy0lGnjbyWbmrdE_nztApT2soiIgjlDLUUz8d-fYWvY 34521
matrix_decomposition-1.2.dist-info/METADATA sha256=b1c68--HNCJcwEsFhHGXwvdvjTqKYn4OlvXlvsH37Wg 5179
matrix_decomposition-1.2.dist-info/WHEEL sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec 92
matrix_decomposition-1.2.dist-info/top_level.txt sha256=BvHVM9c7-5SLzg-1OCRpHKgqAubWhRN1e38e6coHs-g 7
matrix_decomposition-1.2.dist-info/RECORD

top_level.txt

matrix