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How hard is to extend LP so it can use coin-CLP as the LP solver? #2
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Hi Leon,
Hi,
First, Great project! Thanks!
Good that it was usesul :)
Second, this is not an issue but a question.
My history. I'm currently developing some systems biology simulation which require the resolution of LP.
Usually I use cplex, gurobi or glpk through a python general interface.
But this particular project I'm referring to, is coded in C++.
After reviewing some open source LP libraries in C++ I started to use Clp.
However I would like to use a more abstract interface that allow to use different
solver under the hood, and after some more exploration I founded your project.
I haven't tested yet, but it's looks like it will perfectly fit my needs.
The question. How hard is to extend the project so it can also use CLP as a solver?
It already uses CLP and CBC. You just have to compile with -DCBC (having
CBC installed, which comes with CLP), and it will use CLP as LP solver.
BTW, I'm also involved in the development of CBC/CLP, if you have any
problems please contact me.
Cheers,
Haroldo
Thanks!
… Best
Miguel
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Hi Haroldo, Thanks for your answer. I just found out that for for my particular LP problem glpk is faster than CLP Have you some examples on how compile using LP together with GLPK? I've found that LP bring some .sh files to install CPLEX , Gurobi and CBC Thank you very much for your help BTW, I'm Miguel, Leon is part of my last name ;-) |
Hi Miguel, Sorry for the delay in answering. I'm quite surprised that GLPK is faster in your application, this is very unusual. Could you share some .mps or .lp files with me ? I would like to check if with some different parameter setting the result is different. To compile LP with GLPK just add -DGLPK . Cheers |
Hi,
First, Great project! Thanks!
Second, this is not an issue but a question.
My history. I'm currently developing some systems biology simulation which require the resolution of LP. Usually I use cplex, gurobi or glpk through a python general interface.
But this particular project I'm referring to, is coded in C++.
After reviewing some open source LP libraries in C++ I started to use Clp.
However I would like to use a more abstract interface that allow to use different
solver under the hood, and after some more exploration I founded your project.
I haven't tested yet, but it's looks like it will perfectly fit my needs.
The question. How hard is to extend the project so it can also use CLP as a solver?
Thanks!
Best
Miguel
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