sagemath_glpk: Linear and mixed integer linear optimization backend using GLPK¶
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]"
What is included¶
GLPK backends for LP, MILP, and graphs
Type¶
standard
Dependencies¶
$(PYTHON)
$(PYTHON_TOOLCHAIN)
cython: C-Extensions for Python, an optimizing static compiler
memory_allocator: An extension class to allocate memory easily with Cython
mpc: Arithmetic of complex numbers with arbitrarily high precision and correct rounding
mpfr: Multiple-precision floating-point computations with correct rounding
sagemath_categories: Sage categories, basic rings, polynomials, functions
sagemath_objects: Sage objects, elements, parents, categories, coercion, metaclasses
Version Information¶
package-version.txt:
10.6.29
version_requirements.txt:
passagemath-glpk ~= 10.6.29.0
Installation commands¶
$ pip install passagemath-glpk~=10.6.29.0
$ sage -i sagemath_glpk
However, these system packages will not be used for building Sage
because spkg-configure.m4
has not been written for this package;
see upstream Issue #27330 for more information.