passagemath: Linear and mixed integer linear optimization backend using GLPK

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passagemath is open source mathematical software in Python, released under the GNU General Public Licence GPLv2+.

It is a fork of SageMath, which has been developed 2005-2025 under the motto “Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, and MATLAB”.

The passagemath fork uses the motto “Creating a Free Passage Between the Scientific Python Ecosystem and Mathematical Software Communities.” It was created in October 2024 with the following goals:

Full documentation is available online.

passagemath attempts to support and provides binary wheels suitable for all major Linux distributions and recent versions of macOS.

Binary wheels for native Windows (x86_64) are are available for a subset of the passagemath distributions. Use of the full functionality of passagemath on Windows currently requires the use of Windows Subsystem for Linux (WSL) or virtualization.

The supported Python versions in the passagemath 10.6.x series are 3.10.x-3.13.x.

About this pip-installable distribution package

This pip-installable distribution passagemath-glpk provides a backend for linear and mixed integer linear optimization backend using GLPK.

It can be installed as an extra of the distribution sagemath-polyhedra:

$ pip install "passagemath-polyhedra[glpk]"

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10.8.3

10.8.3rc3 pre-release

10.8.3rc2 pre-release

10.8.3rc1 pre-release

10.8.3rc0 pre-release

10.8.2

10.8.2rc4 pre-release

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10.8.2rc1 pre-release

10.8.2rc0 pre-release

10.8.1

10.8.1rc3 pre-release

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10.6.48

10.6.47

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10.6.31rc3 pre-release

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This version

10.6.30

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10.6.28

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10.5.49

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10.4.22

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10.4.17

10.4.16

10.4.15

10.4.14

10.4.8

10.4.7

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MD5 ce8fe830bc1646868488e28dae16e738
BLAKE2b-256 aea1fc2ab0a669dee51ce8c7a0321c7d4d755fd2e86eb7d645ea587dad22daaa

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Algorithm Hash digest
SHA256 224d8910a0250a3a140bfbfea1d5f2fd9d8cc7072453caab628a7ea2ac3925ed
MD5 1142f5c980f1238854b86a8a8d7055e8
BLAKE2b-256 509f1c761d909302d591db741e558a3dc2e70831379476cc6f18053538292f7c

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Algorithm Hash digest
SHA256 ddbcab3aa33634fca98fedb6cde9e2780a2de199b5a88b2820524627afd3e97a
MD5 3f68bf596353a45060b7df1a4790769f
BLAKE2b-256 010b2680c5221e182a8a041ab25246c751e91c4ace094fcfac0fbe670bdf62a5

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Algorithm Hash digest
SHA256 31dbc6039298d89e325d8c9d4b90cd968859b0608325a1f6bd7d7c02e9aa6d05
MD5 c1b66084013432d73b018adb40ee3282
BLAKE2b-256 837ff405af2946af94e04363b698547a5c1b95570b2bd40f299ae9c9cf2c56f4

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Algorithm Hash digest
SHA256 b987bdef43a2ec8b0d9ee1845dee99bc664082f720912937312f33a503076549
MD5 ac34c45da5421a46013a261e641b5fdf
BLAKE2b-256 a971dce37aa181f62916d2059bf39ed5e539f532a707500bb89715b254b2445f

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Algorithm Hash digest
SHA256 fb1223cb645fb1a12d4838c32d85a2d704c49ee2f384954ca12bfe8c18876e8f
MD5 87ed3f953fb2a2410086e77d852da4f7
BLAKE2b-256 ea8e2a4ad662fa4abd7890dbd0875d57b0d6b668b69449ad8e051987f2053726

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Algorithm Hash digest
SHA256 751ee6e61892dc1ef63980b00e0df55940ce91fe9596f91f07c9fc16b612ba20
MD5 f2106edf89885803c94d4998206aea5a
BLAKE2b-256 ecf1ac2d7749827179f77a98fdd9e0f9050502ea9f48b9c1431027de9372f63f

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Algorithm Hash digest
SHA256 7e1848d7e97c54673804b4a34519decae0c699ee876ff6b355e7ab9fb51af03e
MD5 6da05086798e1e4daae218e57655b466
BLAKE2b-256 545ab86091f5938ecfa612f8bfeea54f2556b433a430bb96432f4edc5f7f1b6d

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Algorithm Hash digest
SHA256 d94a877a21135ce514eb94f30e1f13e28a40e65e97aed7217af0276e7312a933
MD5 78834b674ede2063aa8a9fc885842212
BLAKE2b-256 63e73905f6d7708ae23b21593027fbab618efa7b9bd364986cdcd85c10f4b1e6

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Algorithm Hash digest
SHA256 83bc9c2cd55df2877e8e1699b8c6c6d40d05113b00d37930fbd650921d374200
MD5 e9e8512916e8d5261df5d38240ea0ca8
BLAKE2b-256 15dfa0b5b3b0841708f4b79db8ffcbf60a8dcaff0b84313437871bd3def2b334

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Algorithm Hash digest
SHA256 c4ee92d38b89f75333e39e1b46bf7d6f4bf33f3d9f569c0574d37363031259ef
MD5 8401287c02e4f3b3d2985a20b9530847
BLAKE2b-256 a38e956ae8d96885eed313290e3fedb93ac223f4fed79f34deec365ff3b4bf75

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