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Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

Results 107 python-mip issues
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When calling `model.write('myfile.mps')`, the resulting output file `myfile.mps.mps.gz` is created. 1. Please remove the invalid `mps.mps` suffix, the end result should be named `myfile.mps.gz`. 2. It would likely be better...

cbc
reproducible

**Describe the bug** When I formulate a model in python-mip to maximize an objective function and write it to a `.mps` file, the objective coefficients have the wrong sign. **To...

bug
cbc

Hi, Thanks for this package. I am still exploring it but things look familiar to my experience with JuMP (Julia). Is there any documentation on how to add additional solver...

enhancement

Hi I noticed that the previous issue (#37) has already been close. I have decided to open a new one. I am relatively new to Python. Below are my settings:...

cbc-platform

I am trying to determine whether the feasibility region of an MIP-relaxation is bounded or not. To do that, I pick a random objective and both minimize and maximize it,...

bug
cbc
reproducible

**Describe the bug** When I try to solve a quite large problem (884,920 constraints, 4,501,731 variables, all binary), I get a silent crash on Windows and a SEGFAULT on Linux....

bug
cbc

This is more a suggestion than an actual bug. I've been using python-mip and cvxpy on the same MI problems, and even though their actual problem-solving performances are usually the...

mip

Hi, I think the Job Shop Scheduling Problem described in the documentation on https://github.com/coin-or/python-mip/blob/master/docs/examples.rst https://docs.python-mip.com/en/latest/examples.html and the [provided code](https://github.com/coin-or/python-mip/blob/master/examples/jssp.py) do not solve the same optimization problem. If my interpretation is...

documentation

**Describe the bug** The functions below are not updating the coefficients model.objective.set_expr() constraint.expr.set_expr() **To Reproduce** ``` from mip import Model, maximize m = Model() v = m.add_var('v', ub=1) m.objective =...

bug
mip