## Resource Times:

Results created on 09/13/12 13:17:04 using the PAVER Server/Performance tools available at http://www.gamsworld.eu/performance/paver

See the solver return definitions for optimal/feasible model and solve statuses. Solutions are not checked for how close they are to eachother.

Resource times are considered the same, if they are within 10% of eachother. A solver is considered faster than another, if it is less than 50% faster than the other. A solver is considered much faster than another, if it is more than 50% faster than the other.

If a model was not solved optimal/feasible by both solvers, the resource time is considered the same. If a model was solved optimal/feasible by solver A but not by solver B, then solver A is considered infinitely faster than solver B. Similarly, if one solver has trace data and the other has no data, then the first solver is consideredinfinitely faster.

A solver is considered to have a better objective function value, if the relative objective value difference is greater than 1.50E-04 For objective values below 1e-1 we use absolute differences.

Input File Number Filename
Tracefile 1: minlplib_lindo.pav
Tracefile 2: minlplib_scip3.pav
Solvers used : LINDO_lindo
MYSCIP_scip
Modeltype(s)   MINLP
Threshold: Solver Faster 10%
Threshold: Solver Much Faster 50%
Threshold: Solver Infinitely Faster Other solver failed

Total Obj LINDO_lindo better Obj same Obj MYSCIP_scip better
Solver LINDO_lindo infinitely faster : 13 13 - -
Solver LINDO_lindo much faster : 18 3 15 -
Solver LINDO_lindo faster : 18 1 17 -
Solvers perform the same : 51 22 17 12
Solver MYSCIP_scip faster : 21 1 17 3
Solver MYSCIP_scip much faster : 93 - 67 26
Solver MYSCIP_scip infinitely faster : 25 - - 25
Both solvers failed to solve optimally : 13 - 13 -
Total models: : 2524014666

### Solver return definition:

Outcome Model Status Solver Status
globally optimal 1 or 15 1
locally optimal/feasible 2 or 8 or 16 1 or 2 or 3 or 4 or 5 or 8

### Resource Times:

• Models for each resource time category. Listed are the solver resource times TIME(.) in seconds, as well as the ratio of resource times RATIO(.)for the two solvers if both solved optimally. Models not solved optimally by a solver have status listed instead of resource time.
• Also listed are the objective values OBJ(.) using both solvers. The better solution found is listed in boldface. A solution is considered better, if the relative objective function difference is greater than 1.50E-04.
• Solver resource time ratios for a particular model are listed only if both solvers are optimal and if one solver has resource time greater than 5.00E-02.

### Solver LINDO_lindo infinitely faster - Obj of LINDO_lindo better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) contvar 7201.1600 fail -- 8.09150000E+05 1.00000000E+20 csched1a 2.4430 fail -- -3.04302000E+04 -3.04302000E+04 eg_disc2_s 2316.0100 fail -- 5.64210000E+00 1.00000000E+20 eg_disc_s 7202.4800 fail -- 5.76054000E+00 1.00000000E+20 ex1252a 122.5510 fail -- 1.28894000E+05 1.31124000E+05 gear4 74.4940 fail -- 1.64343000E+00 0.00000000E+00 nuclearvc 7201.0900 fail -- -1.00105000E+00 1.00000000E+20 nvs16 0.1500 fail -- 7.03125000E-01 2.95312000E+00 parallel 223.7820 fail -- 9.24296000E+02 9.23943000E+02 pump 118.7040 fail -- 1.28894000E+05 1.31124000E+05 space25a 129.2880 fail -- 4.84329000E+02 1.00000000E+20 st_e32 23.6710 fail -- -1.43041000E+00 -1.43041000E+00 water4 7201.1200 fail -- 9.23751000E+02 9.26947000E+02

### Solver LINDO_lindo much faster - Obj of LINDO_lindo better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) gasnet 351.6060 7310.1600 0.048 6.99938000E+06 7.24184000E+06 nvs05 0.3060 7337.4100 0.000 5.47093000E+00 1.15318000E+01 nvs09 8.1030 7700.7100 0.001 -4.31343000E+01 -2.71564000E+01

### Solver LINDO_lindo much faster - Obj same for both solvers:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) alan 0.3160 1.6370 0.193 2.92500000E+00 2.92500000E+00 ex1221 0.0560 0.1180 0.475 7.66718000E+00 7.66718000E+00 fac2 8.0990 7338.3500 0.001 3.31837000E+08 3.31845000E+08 gear2 0.2710 0.7540 0.359 2.67346000E-07 -1.00000000E-06 gear3 0.2290 0.8100 0.283 4.61835000E-07 -8.06148000E-07 gear 0.1440 1.0650 0.135 8.04558000E-07 -8.06148000E-07 nous1 36.0880 7448.6400 0.005 1.56707000E+00 1.56707000E+00 nous2 0.9110 4.9910 0.183 6.25967000E-01 6.25964000E-01 oil2 105.5430 7241.6000 0.015 -7.33260000E-01 -7.33240000E-01 sep1 0.3030 0.6230 0.486 -5.10081000E+02 -5.10081000E+02 st_e35 37.7480 569.6000 0.066 6.48681000E+04 6.48678000E+04 st_testph4 0.0540 0.1200 0.450 -8.05000000E+01 -8.05000000E+01 synheat 1981.7200 7789.4200 0.254 1.54997000E+05 1.54997000E+05 tln5 163.3880 667.3800 0.245 1.03000000E+01 1.03000000E+01 tln6 158.9370 7669.1800 0.021 1.53000000E+01 1.53000000E+01

### Solver LINDO_lindo faster - Obj of LINDO_lindo better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) cecil_13 6793.2000 7591.8900 0.895 -1.15656000E+05 -1.15607000E+05

### Solver LINDO_lindo faster - Obj same for both solvers:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) ex1222 0.0980 0.1160 0.845 1.07654000E+00 1.07654000E+00 ex1223a 0.1170 0.1470 0.796 4.57958000E+00 4.57958000E+00 ex1225 0.1060 0.1320 0.803 3.10000000E+01 3.10000000E+01 ex1226 0.1180 0.1470 0.803 -1.70000000E+01 -1.70000000E+01 gbd 0.1000 0.1260 0.794 2.20000000E+00 2.20000000E+00 ghg_2veh 7200.1900 9201.7700 0.782 7.77091000E+00 7.77090000E+00 gkocis 0.1310 0.1580 0.829 -1.92310000E+00 -1.92310000E+00 hmittelman 0.1080 0.2020 0.535 1.30000000E+01 1.30000000E+01 nvs06 0.1670 0.2550 0.655 1.77031000E+00 1.77031000E+00 oaer 0.1270 0.1880 0.676 -1.92310000E+00 -1.92310000E+00 procsel 0.1220 0.1640 0.744 -1.92310000E+00 -1.92310000E+00 st_e13 0.0890 0.1170 0.761 2.00000000E+00 2.00000000E+00 st_miqp4 0.1040 0.1360 0.765 -4.57400000E+03 -4.57400000E+03 st_miqp5 0.1120 0.1340 0.836 -3.33889000E+02 -3.33889000E+02 stockcycle 122.0880 218.4330 0.559 1.19949000E+05 1.19949000E+05 st_test6 0.0670 0.1160 0.578 4.71000000E+02 4.71000000E+02 synthes1 0.1460 0.2760 0.529 6.00976000E+00 6.00976000E+00

### Solvers perform the same - Obj of LINDO_lindo better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) beuster 7200.2800 7386.0600 0.975 1.17147000E+05 1.18948000E+05 csched2a 7200.7900 7309.6600 0.985 -1.64274000E+05 -1.25796000E+05 csched2 7200.6500 7247.8900 0.993 -1.65364000E+05 -1.50059000E+05 lop97ic 7795.8300 7231.9800 1.078 4.11916000E+03 5.07684000E+03 lop97icx 7203.0000 7388.6400 0.975 4.18432000E+03 4.22418000E+03 nuclear14a 7202.2600 7225.3200 0.997 -1.12925000E+00 -1.06419000E+00 nuclear14b 7201.2700 7220.7300 0.997 -1.11029000E+00 -1.09949000E+00 nuclear14 7202.0000 7272.0400 0.990 -1.12632000E+00 -1.12242000E+00 nuclear24a 7201.0900 7224.4000 0.997 -1.12925000E+00 -1.06419000E+00 nuclear24b 7204.4900 7220.9100 0.998 -1.11029000E+00 -1.09949000E+00 nuclear24 7201.0000 7273.4500 0.990 -1.12632000E+00 -1.12242000E+00 nuclear25a 7203.8100 7230.1800 0.996 -1.12022000E+00 -1.04412000E+00 nuclear25b 7202.6300 7223.0100 0.997 -1.07663000E+00 -1.06213000E+00 nuclear25 7202.9600 7302.2000 0.986 -1.11536000E+00 -1.10299000E+00 nuclear49a 7201.4800 7220.8800 0.997 -1.15121000E+00 -1.12010000E+00 nuclearve 7200.6900 7381.3500 0.976 -1.03635000E+00 -1.02425000E+00 pb302035 7340.7800 7296.9900 1.006 3.92368000E+06 4.16291000E+06 pb302055 7507.7400 7288.9300 1.030 4.15870000E+06 4.17235000E+06 pb351535 7401.4600 7302.2200 1.014 5.11637000E+06 5.72214000E+06 pb351575 7457.2300 7308.6900 1.020 6.52783000E+06 6.85368000E+06 tls5 7200.3100 7519.9100 0.957 1.06000000E+01 1.07000000E+01 waterz 7200.8100 7445.4800 0.967 9.58687000E+02 9.96913000E+02

### Solvers perform the same - Obj same for both solvers:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) ex1233 7200.3200 7874.8400 0.914 1.55011000E+05 1.55011000E+05 ex3 0.3130 0.2870 1.091 6.80097000E+01 6.80097000E+01 feedtray 7201.4400 7252.0900 0.993 -1.34060000E+01 -1.34060000E+01 fuel 0.2480 0.2750 0.902 8.56612000E+03 8.56612000E+03 m3 1.5800 1.5980 0.989 3.78000000E+01 3.78000000E+01 minlphix 7200.2700 7522.1200 0.957 3.16693000E+02 3.16693000E+02 nvs01 0.2590 0.2790 0.928 1.24697000E+01 1.24697000E+01 nvs07 0.1250 0.1180 1.059 4.00000000E+00 4.00000000E+00 nvs10 0.1450 0.1510 0.960 -3.10800000E+02 -3.10800000E+02 prob02 0.1250 0.1380 0.906 1.12235000E+05 1.12235000E+05 prob03 0.1200 0.1110 1.081 1.00000000E+01 1.00000000E+01 st_e15 0.1130 0.1180 0.958 7.66718000E+00 7.66718000E+00 st_e27 0.1050 0.1080 0.972 2.00000000E+00 2.00000000E+00 st_miqp1 0.1170 0.1090 1.073 2.81000000E+02 2.81000000E+02 st_miqp3 0.1110 0.1140 0.974 -6.00000000E+00 -6.00000000E+00 st_test2 0.1210 0.1090 1.110 -9.25000000E+00 -9.25000000E+00 st_test5 0.1060 0.1160 0.914 -1.10000000E+02 -1.10000000E+02

### Solvers perform the same - Obj of MYSCIP_scip better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) 4stufen 7200.5500 7422.4100 0.970 1.17099000E+05 1.16886000E+05 pb302075 7636.4400 7303.1100 1.046 4.44965000E+06 4.25348000E+06 pb351555 7549.7100 7318.3400 1.032 5.20686000E+06 5.07644000E+06 qap 7216.7600 7439.6500 0.970 4.31074000E+05 4.04398000E+05 qapw 7200.6100 7286.8800 0.988 4.10614000E+05 3.88870000E+05 super3t 7201.5600 7229.6400 0.996 -6.53483000E-01 -6.67198000E-01 tln12 7201.3200 7357.3400 0.979 1.04500000E+02 9.13000000E+01 tln7 7201.0900 7619.7300 0.945 1.65000000E+01 1.50000000E+01 tls6 7200.7600 7458.9900 0.965 2.75000000E+01 1.56000000E+01 tls7 7202.2400 7409.9500 0.972 2.73000000E+01 1.57000000E+01 waste 7207.5100 7364.0200 0.979 7.45905000E+02 6.35895000E+02 waterx 7200.8500 7310.0400 0.985 9.48930000E+02 9.11281000E+02

### Solver MYSCIP_scip faster - Obj of LINDO_lindo better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) pb351595 8704.5100 7314.1700 1.190 7.20656000E+06 7.25666000E+06

### Solver MYSCIP_scip faster - Obj same for both solvers:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) batchdes 2.0370 1.5940 1.278 1.67428000E+05 1.67428000E+05 ex1223b 0.1830 0.1590 1.151 4.57958000E+00 4.57958000E+00 ex1223 0.2040 0.1610 1.267 4.57958000E+00 4.57958000E+00 ex3pb 0.3320 0.2870 1.157 6.80097000E+01 6.80097000E+01 johnall 52.8910 32.9380 1.606 -2.24730000E+02 -2.24730000E+02 nvs03 0.1560 0.1130 1.381 1.60000000E+01 1.60000000E+01 nvs04 0.2230 0.1560 1.429 7.20000000E-01 7.20000000E-01 nvs08 0.2560 0.1590 1.610 2.34497000E+01 2.34497000E+01 nvs15 0.1580 0.1260 1.254 1.00000000E+00 1.00000000E+00 st_e14 0.2040 0.1590 1.283 4.57958000E+00 4.57958000E+00 st_e36 2.1420 1.1820 1.812 -2.46000000E+02 -2.46000000E+02 st_e38 0.4090 0.2450 1.669 7.19773000E+03 7.19773000E+03 st_miqp2 0.1490 0.1160 1.284 2.00000000E+00 2.00000000E+00 st_test1 0.1600 0.1370 1.168 0.00000000E+00 0.00000000E+00 st_test4 0.1590 0.1130 1.407 -7.00000000E+00 -7.00000000E+00 synthes2 0.3150 0.2080 1.514 7.30353000E+01 7.30353000E+01 tln2 0.2210 0.1940 1.139 5.30000000E+00 5.30000000E+00

### Solver MYSCIP_scip faster - Obj of MYSCIP_scip better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) netmod_dol1 7202.1200 5289.3100 1.362 -9.88049000E-02 -5.60008000E-01 pb302095 8484.8100 7320.5100 1.159 6.00669000E+06 5.87122000E+06 saa_2 8397.6700 7226.0100 1.162 1.27137000E+01 1.25909000E+01

### Solver MYSCIP_scip much faster - Obj same for both solvers:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) batch 4.9730 1.3950 3.565 2.85507000E+05 2.85506000E+05 csched1 12.1180 2.3230 5.217 -3.06393000E+04 -3.06393000E+04 du-opt5 5742.5300 1.8260 3144.869 8.07366000E+00 8.07341000E+00 elf 6.1960 0.8460 7.324 1.91666000E-01 1.91667000E-01 enpro48 24.4050 2.7110 9.002 1.87277000E+05 1.87277000E+05 enpro48pb 28.8390 1.4500 19.889 1.87277000E+05 1.87277000E+05 enpro56 128.0530 1.7300 74.019 2.63428000E+05 2.63428000E+05 enpro56pb 142.0760 1.7430 81.512 2.63428000E+05 2.63428000E+05 ex1224 0.6740 0.2550 2.643 -9.43471000E-01 -9.43471000E-01 ex1243 4.9850 0.5770 8.640 8.34025000E+04 8.34020000E+04 ex1244 34.4800 1.7230 20.012 8.20429000E+04 8.20429000E+04 ex1252 1033.4000 4.8390 213.557 1.28894000E+05 1.28894000E+05 ex1263a 3.6160 0.7610 4.752 1.96000000E+01 1.96000000E+01 ex1263 9.0530 0.6760 13.392 1.96000000E+01 1.96000000E+01 ex1264a 1.6440 0.2510 6.550 8.60000000E+00 8.60000000E+00 ex1264 38.1960 0.2680 142.522 8.60000000E+00 8.60000000E+00 ex1265a 2.3980 0.5120 4.684 1.03000000E+01 1.03000000E+01 ex1265 7.2020 0.4490 16.040 1.03000000E+01 1.03000000E+01 ex1266a 0.4140 0.1720 2.407 1.63000000E+01 1.63000000E+01 ex1266 2.4080 0.7190 3.349 1.63000000E+01 1.63000000E+01 ex4 5.9290 0.8610 6.886 -8.06414000E+00 -8.06444000E+00 fac1 0.9990 0.1050 9.514 1.60913000E+08 1.60913000E+08 fac3 31.7350 0.3790 83.734 3.19823000E+07 3.19823000E+07 feedtray2 24.3880 0.2560 95.266 0.00000000E+00 0.00000000E+00 gastrans 2.2190 0.3760 5.902 8.90858000E+01 8.90858000E+01 m6 142.3350 1.4840 95.913 8.22569000E+01 8.22569000E+01 m7_ar2_1 683.3690 4.0540 168.567 1.90235000E+02 1.90235000E+02 m7_ar25_1 314.9880 1.6690 188.729 1.43585000E+02 1.43585000E+02 m7_ar3_1 1468.8600 6.4980 226.048 1.43585000E+02 1.43585000E+02 m7_ar4_1 709.4140 1.2900 549.933 1.06757000E+02 1.06757000E+02 m7_ar5_1 1976.4200 9.3980 210.302 1.06460000E+02 1.06460000E+02 m7 1110.1000 8.9650 123.826 1.06757000E+02 1.06757000E+02 meanvarx 1.1950 0.3270 3.654 1.43692000E+01 1.43692000E+01 netmod_kar2 7200.4700 3.7350 1927.837 -4.19790000E-01 -4.19790000E-01 nvs02 0.4470 0.1400 3.193 5.96418000E+00 5.96418000E+00 nvs11 1.0820 0.1320 8.197 -4.31000000E+02 -4.31000000E+02 nvs12 4.5430 0.1740 26.109 -4.81200000E+02 -4.81200000E+02 nvs13 19.9060 0.2090 95.244 -5.85200000E+02 -5.85200000E+02 nvs14 0.3350 0.1380 2.428 -4.03582000E+04 -4.03582000E+04 nvs17 3255.3100 0.2980 10923.859 -1.10040000E+03 -1.10040000E+03 nvs18 610.2380 0.2700 2260.141 -7.78400000E+02 -7.78400000E+02 nvs19 7200.8600 0.4330 16630.162 -1.09840000E+03 -1.09840000E+03 nvs20 5.8950 0.6940 8.494 2.30922000E+02 2.30922000E+02 nvs21 1.2620 0.1450 8.703 -5.68478000E+00 -5.68478000E+00 nvs22 0.5980 0.2690 2.223 6.05822000E+00 6.05822000E+00 nvs23 7202.4100 0.6360 11324.544 -1.12520000E+03 -1.12520000E+03 nvs24 7200.4100 0.6010 11980.715 -1.03320000E+03 -1.03320000E+03 ortez 2.4330 0.5410 4.497 -9.53204000E+03 -9.53204000E+03 product 3728.0700 20.0050 186.357 -2.14295000E+03 -2.14295000E+03 ravem 20.9290 1.3600 15.389 2.69590000E+05 2.69590000E+05 ravempb 13.0570 1.0960 11.913 2.69590000E+05 2.69590000E+05 risk2b 5.4320 0.6260 8.677 -5.58761000E+01 -5.58761000E+01 risk2bpb 2.7810 0.4880 5.699 -5.58761000E+01 -5.58761000E+01 spectra2 39.6700 1.1120 35.674 1.39783000E+01 1.39783000E+01 spring 1.8270 0.8640 2.115 8.46246000E-01 8.46239000E-01 st_e29 0.6770 0.2550 2.655 -9.43471000E-01 -9.43471000E-01 st_e31 3.9680 1.3470 2.946 -2.00000000E+00 -2.00000000E+00 st_test3 0.5000 0.1100 4.545 -7.00000000E+00 -7.00000000E+00 st_test8 0.5710 0.1180 4.839 -2.96050000E+04 -2.96050000E+04 st_testgr1 1.4780 0.1640 9.012 -1.28116000E+01 -1.28116000E+01 st_testgr3 1.8040 0.1840 9.804 -2.05900000E+01 -2.05900000E+01 synthes3 1.3490 0.3440 3.922 6.80097000E+01 6.80097000E+01 tln4 7.4460 1.8140 4.105 8.30000000E+00 8.30000000E+00 tloss 0.8970 0.2070 4.333 1.63000000E+01 1.63000000E+01 tls4 713.9240 58.9510 12.110 8.30000000E+00 8.30000000E+00 tltr 1.2040 0.3220 3.739 4.80667000E+01 4.80667000E+01 util 4.3570 0.4970 8.767 9.99579000E+02 9.99579000E+02

### Solver MYSCIP_scip much faster - Obj of MYSCIP_scip better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) du-opt 7200.7400 1.0440 6897.261 3.62371000E+00 3.55632000E+00 fo7_2 7201.6700 63.7580 112.953 2.82109000E+01 1.77493000E+01 fo7_ar2_1 7200.3000 32.3680 222.451 4.27982000E+01 2.48398000E+01 fo7_ar25_1 7200.9300 22.3040 322.854 2.31210000E+01 2.30936000E+01 fo7_ar3_1 7200.3300 26.1700 275.137 2.87172000E+01 2.25175000E+01 fo7_ar4_1 7201.1500 44.5320 161.707 3.27363000E+01 2.07298000E+01 fo7_ar5_1 7200.2000 13.2120 544.974 2.63456000E+01 1.77493000E+01 fo7 7200.9500 126.3230 57.004 2.99744000E+01 2.07298000E+01 fo8_ar25_1 7200.6000 166.4730 43.254 3.45487000E+01 2.80452000E+01 fo8_ar3_1 7200.6400 106.7140 67.476 5.48210000E+01 2.39100000E+01 fo9_ar2_1 7200.6000 1364.2600 5.278 4.11250000E+01 3.26250000E+01 fo9_ar4_1 7200.9000 697.0830 10.330 4.84355000E+01 2.34643000E+01 netmod_dol2 7203.9900 38.4030 187.589 -5.29582000E-01 -5.60008000E-01 netmod_kar1 7202.5300 3.9690 1814.696 -4.17406000E-01 -4.19790000E-01 no7_ar2_1 7200.7200 19.6690 366.095 1.41393000E+02 1.07815000E+02 no7_ar25_1 7200.3100 52.0570 138.316 1.46650000E+02 1.07815000E+02 no7_ar3_1 7200.6200 169.6100 42.454 1.16370000E+02 1.07815000E+02 no7_ar4_1 7200.8000 101.0700 71.246 1.16849000E+02 9.85184000E+01 no7_ar5_1 7200.4800 63.7830 112.890 1.17075000E+02 9.06227000E+01 o7_2 7201.0400 1270.4300 5.668 1.48480000E+02 1.16946000E+02 o7_ar25_1 7200.9600 466.5880 15.433 1.69161000E+02 1.40412000E+02 o7_ar3_1 7200.6900 715.4800 10.064 1.57351000E+02 1.37932000E+02 o7_ar4_1 7200.2700 1243.9800 5.788 1.54273000E+02 1.31653000E+02 o7_ar5_1 7201.3000 418.2790 17.216 1.46653000E+02 1.16946000E+02 o7 7201.3700 1580.5700 4.556 1.52256000E+02 1.31653000E+02 product2 7200.6700 2.9790 2417.143 -2.09914000E+03 -2.10239000E+03

### Solver MYSCIP_scip infinitely faster - Obj of MYSCIP_scip better:

 Modelname Time (LINDO_lindo) Time (MYSCIP_scip) Ratio (LINDO_lindo / MYSCIP_scip) Obj (LINDO_lindo) Obj (MYSCIP_scip) eg_all_s fail 7281.0200 -- 8.37825000E+00 8.96742000E+00 eg_int_s fail 7240.5600 -- 7.46308000E+00 1.00000000E+05 eniplac fail 1.1150 -- -1.30736000E+05 -1.32117000E+05 fo8_ar2_1 fail 225.9310 -- 1.00000000E+20 3.03406000E+01 fo8_ar4_1 fail 129.2360 -- 1.00000000E+20 2.23819000E+01 fo8_ar5_1 fail 90.4120 -- 1.00000000E+20 2.23819000E+01 fo8 fail 378.0540 -- 1.00000000E+20 2.23819000E+01 fo9_ar25_1 fail 7465.5400 -- 1.00000000E+20 3.21864000E+01 fo9_ar3_1 fail 80.3460 -- 1.00000000E+20 2.48155000E+01 fo9_ar5_1 fail 914.9300 -- 1.00000000E+20 2.34643000E+01 fo9 fail 877.3950 -- 1.00000000E+20 2.34643000E+01 ghg_1veh fail 7540.8500 -- 1.00000000E+20 7.78163000E+00 ghg_3veh fail 7269.8800 -- 1.00000000E+20 7.75695000E+00 hda fail 7276.5900 -- -5.76262000E+03 -5.75250000E+03 mbtd fail 7428.2000 -- 1.00000000E+20 6.91673000E+00 nuclear49b fail 7223.3600 -- 1.00000000E+20 -1.08521000E+00 nuclear49 fail 7244.5500 -- 1.00000000E+20 -1.13729000E+00 nuclearvd fail 8653.8300 -- -1.03418000E+00 -1.02705000E+00 nuclearvf fail 8238.1800 -- -1.01598000E+00 -1.00821000E+00 o7_ar2_1 fail 79.3710 -- 1.00000000E+20 1.40412000E+02 o8_ar4_1 fail 7421.7900 -- 1.00000000E+20 2.43071000E+02 o9_ar4_1 fail 7411.2300 -- 1.00000000E+20 2.36138000E+02 oil fail 7239.1000 -- 1.00000000E+20 -8.42903000E-01 st_e40 fail 0.2510 -- 3.28284000E+01 3.04142000E+01 tls2 fail 0.2430 -- 7.30000000E+00 5.30000000E+00