Comments (8)
h-g-s
commented on May 30, 2024
Do you know how competitive this Scipy LP solver is ? Clp is quite fast and reliable, much faster than GLPK, for instance, I'm not aware of other open source LP solvers that are competitive with Clp (HIGHS perhaps), but I never tested this LP solver.
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SanPen
commented on May 30, 2024
I am very much aware of the state of the art.
The point of the ticket is to be able to export the matrices as an additional interface.
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h-g-s
commented on May 30, 2024
Could you provide some scenario(s) where this would be useful ?
Sorry for my ignorance on this feature, but since I never needed something similar I'm failing to see its usefulness.
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SanPen
commented on May 30, 2024
Well, to export the coefficients matrix A, the right hand side vector b and the objective function coefficients vector c allows anyone to implement their own method for research.
For instance I wanted to implement a method that would leverage parallel system solving which Clp doesn't have. Another feature that I wanted to test is to embed controls of electric equipment within the solver. That is very common in electricity related numerical methods.
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h-g-s
commented on May 30, 2024
The additional dependency would be numpy, is it ? (not linprog).
It would significantly increase the download size of Python-MIP, but I think that almost everyone has numpy installed these days, isn't ?
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SanPen
commented on May 30, 2024
No, linprog should not be a dependency since the feature would be a generic one to return A, b and c
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h-g-s
commented on May 30, 2024
A would be a scipy sparse matrix, and b and c would be numpy arrays,
is it ?
These elements would be a copy of the original matrix as the format of
the matrix stored by the solver is different from these typed. They
could be used for input and output.
On 19/12/2019 18:19, Santiago Peñate Vera wrote:
No, |linprog| should not be a dependency since the feature would be a
generic one to return |A|, |b| and |c|
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SanPen
commented on May 30, 2024
As I understand it yes
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