Comments (4)
The speed will not only depend on the number of regions but also on
the dimension of the space your polytopes are defined in. Since you
are using plotting, I assume you mainly have 2d or 3d polytopes so
maybe the dimension is not an issue.
For this intersection, since the reduce
operation is called for
each polytope intersection, there are up to 16 times 54 LPs
to be solved, which might take some time.
You can change the default solver at runtime by setting the variable
default_solver
in the module solvers
.
To inspect which solvers were successfully installed:
from polytope import solvers
print(solvers.installed_solvers)
To set the default solver to one from the above list (e.g., scipy
), try:
solvers.default_solver = 'scipy'
from polytope.
@mvnayagam is your question answered? I am reviewing past issues and want to decide if they can be closed.
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Related Issues (20)
- cvxopt 1.2.0 bug HOT 5
- support Python 3.7 HOT 4
- create regression test for bug fix of PR #56
- release `polytope == 0.2.2` HOT 1
- Error message says "Cannot plot polytopes of dimension larger than 2", but can't plot dimension 1 aswell HOT 2
- Zero Volume for 14D polytope HOT 8
- remove support for Python 2.7, 3.5, 3.6 HOT 7
- support Python 3.10
- With large scales `reduce` can remove non-redundant hyperplanes HOT 2
- `.project` can return redundant hyperplanes despite `minrep == True` HOT 1
- Plotting polytopes on same plot/ adding "_get_patch" as an import option
- polytope volume changing on each trial HOT 2
- Polytope.reduce and removal of possibly overlapping polytopes HOT 3
- Updated release on PyPI? HOT 4
- Rmove or delete particular polytope from a region HOT 1
- combining many polytopes into single polytope HOT 4
- MIB2 cannot clear 01637 error HOT 3
- minkovski sum of polytopes HOT 5
- Usefull future feature
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