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CONELib Model Statistics

Total number of models:   31

Conic Models converted to NLP format using GAMS/CONVERT. Access the CONELIB using conic constraints.

Name Type #Eqns #Vars #NZ #NNZ Bestknown  
emfl_socp_200_25_nlp NLP 16876 16926 41472 11250 46.8675 
emfl_socp_200_100_nlp NLP 90001 90201 236172 60000    
emfl_socp_500_100_nlp NLP 180001 180201 447957 120000    
emfl_socp_250_225_nlp NLP 320626 321076 877084 213750    
firl1linfeps_nlp NLP 9713 11534 412895 7688    
firl2l1alph_nlp NLP 7792 9613 409053 7688    
firl2linfeps_nlp NLP 9030 14712 1211486 11768    
fir_socp_10_nlp NLP 307 10 1711 2 -1.7382 
fir_socp_20_nlp NLP 307 15 3231 2    
fir_socp_40_nlp NLP 307 25 6271 2 1.0001 
fir_socp_80_nlp NLP 307 45 12351 2    
nb_nlp NLP 917 2384 193901 1586 -0.0507 
nb_l1_nlp NLP 1709 3177 195487 1586 -13.0123 
nb_l2_nlp NLP 963 4196 407317 3352    
nb_l2_bessel_nlp NLP 963 2642 212295 1798 -0.1026 
qp7_nlp NLP 34 82 1585 31 0.0008 
qp7_50_100_nlp NLP 34 82 1585 31 0.0018 
qp7_100_100_nlp NLP 34 82 1585 31 0.0043 
qp7_100_170_nlp NLP 34 82 1585 31 0.0034 
sched_50_50_orig_nlp NLP 2530 4980 27967 2475 26672.9916 
sched_50_50_scaled_nlp NLP 2528 4978 30462 2474 7.8520 
sched_100_50_orig_nlp NLP 4847 9747 60037 4742 181889.9181 
sched_100_50_scaled_nlp NLP 4845 9745 65032 4741 67.1651 
sched_100_100_orig_nlp NLP 8341 18241 113142 8236    
sched_100_100_scaled_nlp NLP 8339 18239 123137 8235 27.3308 
sched_200_100_orig_nlp NLP 18090 37890 278392 17885 141360.3657 
sched_200_100_scaled_nlp NLP 18088 37888 298387 17884 51.8120 
springs_10_nlp NLP 46 69 140 32 -185.4461 
springs_100_nlp NLP 406 609 1310 302 -41591.0422 
springs_1000_nlp NLP 4006 6009 13010 3002 -4.003261E+7 
springs_10000_nlp NLP 40006 60009 130010 30002