[SCIP] LP numerical troubles.
James Cussens
james.cussens at bristol.ac.uk
Fri Oct 28 13:55:33 CEST 2022
Hi all,
In a SCIP project I am working on I am continually running into "unresolved numerical troubles in LP". Some example output given below. I get this whether using SOPLEX or CPLEX and whether or not I link with IPOT. I suspect that I am somehow generating "weird" LPs so I would like to inspect the LPs that are causing these problems. What's the best way to do this? (Btw, I am using both pricing and cutting in the price-and-cut loop.)
I'm using SCIP 8.0.2
James
time | node | left |LP iter|LP it/n|mem/heur|mdpt |frac |vars |cons |cuts |sepa|confs|strbr| dualbound | primalbound | gap | compl.
p 3.7s| 1 | 0 | 14 | - |shiftand| 0 | - |9815 | 853 | 0 | 0 | 6 | 0 | -- |-5.916805e+03 | Inf | unknown
(node 1) unresolved numerical troubles in LP 5 -- using pseudo solution instead (loop 1)
k 3.8s| 1 | 0 | 16 | - |roundand| 0 | - |9815 | 853 | 0 | 0 | 6 | 0 | -- |-2.814319e+03 | Inf | unknown
3.9s| 1 | 2 | 16 | - | 91M | 0 | - |9815 | 853 | 0 | 0 | 6 | 0 | -- |-2.814319e+03 | Inf | unknown
3.9s| 2 | 3 | 18 | 16.0 | 91M | 1 | - |9815 | 853 | 0 | 0 | 6 | 0 | -- |-2.814319e+03 | Inf | unknown
4.0s| 3 | 4 | 22 | 10.0 | 91M | 2 | - |9815 | 853 | 0 | 0 | 6 | 0 | -- |-2.814319e+03 | Inf | unknown
4.0s| 4 | 5 | 24 | 7.3 | 91M | 3 | - |9815 | 853 | 0 | 0 | 6 | 0 | -- |-2.814319e+03 | Inf | unknown
4.0s| 5 | 6 | 26 | 6.0 | 91M | 4 | - |9815 | 853 | 0 | 0 | 6 | 0 | -- |-2.814319e+03 | Inf | unknown
4.0s| 6 | 7 | 28 | 5.2 | 91M | 5 | - |9815 | 853 | 0 | 0 | 6 | 0 | -- |-2.814319e+03 | Inf | unknown
[solve.c:4624] ERROR: (node 7) unresolved numerical troubles in LP 10 -- aborting
[solve.c:4984] ERROR: Error <-6> in function call
[scip_solve.c:2771] ERROR: Error <-6> in function call
[scipshell.c:101] ERROR: Error <-6> in function call
[scipshell.c:468] ERROR: Error <-6> in function call
[cmain.c:104] ERROR: Error <-6> in function call
SCIP Error (-6): error in LP solver
James Cussens
Room MVB 3.26
Dept of Computer Science, University of Bristol
Phone: +44 (0)117 455 8723
https://jcussens.github.io/
Funded PhDs available in Bristol in the following areas: Data Science<http://www.bristol.ac.uk/cdt/compass/>, Interactive AI<http://www.bristol.ac.uk/cdt/interactive-ai/>, Cyber Security<http://www.bristol.ac.uk/cdt/cyber-security/> or Digital Health<http://www.bristol.ac.uk/cdt/digital-health/>.
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