Eliminating numerical problems in the model
回答済みHello,
I have a very large MILP problem. When I try to solve it using Gurobi with AMPL I receive the following message.
Gurobi 8.0.0: outlev = 1
mipgap = 0.2
basis = 0
Optimize a model with 281296 rows, 377144 columns and 1629986 nonzeros
Variable types: 352635 continuous, 24509 integer (24509 binary)
Coefficient statistics:
Matrix range [1e-03, 7e+10]
Objective range [2e-01, 9e-01]
Bounds range [5e-01, 7e+07]
RHS range [4e-03, 1e+09]
Warning: Model contains large matrix coefficient range
Consider reformulating model or setting NumericFocus parameter
to avoid numerical issues.
If I set numericfocus=3 solution time gets significantly longer, so at this point, I think my only option is to reformulate the model. However, the model is quite elaborate and it is difficult to spot what is causing the numerical problems. Is there any way I can see where the minimum and maximum coefficients come from?
Hur
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Please take a look at our Numerical Guidelines: https://www.gurobi.com/documentation/current/refman/numerics_gurobi_guidelines.html
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