Resource Time Comparison

Resource Times:

Results created on 09/14/12 19:33:57 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:	minlpconvex_bonmin-oa-cpx.pav
Tracefile 2:	minlpconvex_bonmin-hyb.pav
Solvers used :	BONMIN_bonmin-oa-cpx
	BONMIN_bonmin-hyb
Modeltype(s)	MINLP
Threshold: Solver Faster	10%
Threshold: Solver Much Faster	50%
Threshold: Solver Infinitely Faster	Other solver failed

	Total	Obj BONMIN_bonmin-oa-cpx better	Obj same	Obj BONMIN_bonmin-hyb better
Solver BONMIN_bonmin-oa-cpx infinitely faster :	`2`	`2`	-	-
Solver BONMIN_bonmin-oa-cpx much faster :	`115`	`7`	`108`	-
Solver BONMIN_bonmin-oa-cpx faster :	`10`	`1`	`9`	-
Solvers perform the same :	`2`	-	`2`	-
Solver BONMIN_bonmin-hyb faster :	`2`	-	`2`	-
Solver BONMIN_bonmin-hyb much faster :	`11`	-	`11`	-
Solver BONMIN_bonmin-hyb infinitely faster :	`11`	-	-	`11`
Both solvers failed to solve optimally :	`2`	-	`2`	-
Total models: :	`155`	`10`	`134`	`11`

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 BONMIN_bonmin-oa-cpx infinitely faster - Obj of BONMIN_bonmin-oa-cpx better:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`RSyn0840M03H`	`1.8420`	`fail`	--	`2.74265000E+03`	2.74120000E+03
`Syn10M`	`0.0730`	`fail`	--	`1.26735000E+03`	1.25435000E+03

Solver BONMIN_bonmin-oa-cpx much faster - Obj of BONMIN_bonmin-oa-cpx better:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`RSyn0820M04M`	`53.8340`	`7561.4700`	`0.007`	`2.45077000E+03`	`2.36693000E+03`
`RSyn0840M02M`	`3.4070`	`7264.9200`	`0.000`	`7.34984000E+02`	`7.30188000E+02`
`RSyn0840M03M`	`7.1000`	`7250.8900`	`0.001`	`2.74265000E+03`	`2.71387000E+03`
`RSyn0840M04M`	`25.2500`	`7526.7300`	`0.003`	`2.56450000E+03`	`2.50236000E+03`
`nd-16`	`1511.5300`	`7221.4800`	`0.209`	`9.79792000E+01`	`9.87609000E+01`
`fo9_ar2_1`	`277.8710`	`7262.2100`	`0.038`	`3.26250000E+01`	`3.44313000E+01`
`fo9_ar25_1`	`1307.2300`	`7280.0400`	`0.180`	`3.21864000E+01`	`3.23750000E+01`

Solver BONMIN_bonmin-oa-cpx much faster - Obj same for both solvers:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`BatchS101006M`	`5.7990`	`25.8700`	`0.224`	`7.69440000E+05`	`7.69440000E+05`
`BatchS121208M`	`5.6200`	`46.4590`	`0.121`	`1.24113000E+06`	`1.24113000E+06`
`BatchS151208M`	`9.5070`	`60.0490`	`0.158`	`1.54347000E+06`	`1.54347000E+06`
`BatchS201210M`	`18.8690`	`79.8440`	`0.236`	`2.29535000E+06`	`2.29535000E+06`
`clay0203h`	`1.1870`	`4.1880`	`0.283`	`4.15733000E+04`	`4.15733000E+04`
`clay0203m`	`0.8400`	`2.6970`	`0.311`	`4.15733000E+04`	`4.15733000E+04`
`clay0204h`	`1.1220`	`11.4310`	`0.098`	`6.54500000E+03`	`6.54500000E+03`
`clay0204m`	`0.8370`	`4.4130`	`0.190`	`6.54500000E+03`	`6.54500000E+03`
`clay0205h`	`13.7010`	`110.8940`	`0.124`	`8.09250000E+03`	`8.09250000E+03`
`clay0205m`	`6.8530`	`16.6980`	`0.410`	`8.09250000E+03`	`8.09250000E+03`
`clay0303h`	`1.6610`	`9.6990`	`0.171`	`2.66691000E+04`	`2.66691000E+04`
`clay0303m`	`1.2750`	`3.8930`	`0.328`	`2.66691000E+04`	`2.66691000E+04`
`clay0304h`	`7.5810`	`493.1600`	`0.015`	`4.02624000E+04`	`4.02624000E+04`
`clay0304m`	`2.9740`	`56.5330`	`0.053`	`4.02624000E+04`	`4.02624000E+04`
`clay0305h`	`19.0080`	`171.6710`	`0.111`	`8.09250000E+03`	`8.09250000E+03`
`FLay03H`	`0.9280`	`1.9520`	`0.475`	`4.89898000E+01`	`4.89898000E+01`
`FLay03M`	`0.3870`	`1.0510`	`0.368`	`4.89898000E+01`	`4.89898000E+01`
`RSyn0810H`	`0.3240`	`1.1150`	`0.291`	`1.72145000E+03`	`1.72145000E+03`
`RSyn0810M02H`	`1.0490`	`4.0870`	`0.257`	`1.74139000E+03`	`1.74139000E+03`
`RSyn0810M02M`	`5.9170`	`83.8960`	`0.071`	`1.74139000E+03`	`1.74139000E+03`
`RSyn0810M03H`	`1.7340`	`10.8450`	`0.160`	`2.72245000E+03`	`2.72245000E+03`
`RSyn0810M03M`	`12.4870`	`1045.3900`	`0.012`	`2.72245000E+03`	`2.72245000E+03`
`RSyn0810M04H`	`1.6210`	`7.6860`	`0.211`	`6.58194000E+03`	`6.58194000E+03`
`RSyn0810M04M`	`8.0370`	`1295.9100`	`0.006`	`6.58193000E+03`	`6.58193000E+03`
`RSyn0810M`	`0.5910`	`1.4900`	`0.397`	`1.72145000E+03`	`1.72145000E+03`
`RSyn0820H`	`0.6790`	`2.5190`	`0.270`	`1.15030000E+03`	`1.15030000E+03`
`RSyn0820M02H`	`1.5050`	`4.1210`	`0.365`	`1.09209000E+03`	`1.09209000E+03`
`RSyn0820M02M`	`6.6110`	`544.8660`	`0.012`	`1.09209000E+03`	`1.09209000E+03`
`RSyn0820M03H`	`1.3970`	`12.2690`	`0.114`	`2.02881000E+03`	`2.02881000E+03`
`RSyn0820M03M`	`18.6970`	`7324.1500`	`0.003`	`2.02881000E+03`	`2.02881000E+03`
`RSyn0820M04H`	`2.8380`	`12.3980`	`0.229`	`2.45077000E+03`	`2.45077000E+03`
`RSyn0820M`	`0.7180`	`8.0470`	`0.089`	`1.15030000E+03`	`1.15030000E+03`
`RSyn0840H`	`0.6410`	`1.4330`	`0.447`	`3.25555000E+02`	`3.25555000E+02`
`RSyn0840M02H`	`1.5210`	`3.3540`	`0.453`	`7.34984000E+02`	`7.34984000E+02`
`RSyn0840M04H`	`2.2560`	`21.5470`	`0.105`	`2.56450000E+03`	`2.56450000E+03`
`RSyn0840M`	`0.9470`	`16.7770`	`0.056`	`3.25555000E+02`	`3.25555000E+02`
`SLay05H`	`0.8580`	`8.4460`	`0.102`	`2.26647000E+04`	`2.26647000E+04`
`SLay05M`	`0.2550`	`1.2310`	`0.207`	`2.26647000E+04`	`2.26647000E+04`
`SLay06H`	`3.3740`	`25.8010`	`0.131`	`3.27570000E+04`	`3.27570000E+04`
`SLay06M`	`0.7360`	`3.0400`	`0.242`	`3.27570000E+04`	`3.27570000E+04`
`SLay07H`	`10.1450`	`89.7690`	`0.113`	`6.47488000E+04`	`6.47488000E+04`
`SLay07M`	`1.2450`	`5.1260`	`0.243`	`6.47488000E+04`	`6.47488000E+04`
`SLay08H`	`35.0140`	`231.4060`	`0.151`	`8.49602000E+04`	`8.49602000E+04`
`SLay08M`	`4.0190`	`14.1080`	`0.285`	`8.49602000E+04`	`8.49602000E+04`
`SLay09H`	`164.5140`	`3633.1000`	`0.045`	`1.07806000E+05`	`1.07806000E+05`
`Syn10H`	`0.0790`	`0.6440`	`0.123`	`1.26735000E+03`	`1.26735000E+03`
`Syn10M02H`	`0.1040`	`0.8510`	`0.122`	`2.31030000E+03`	`2.31030000E+03`
`Syn10M02M`	`0.0870`	`0.5760`	`0.151`	`2.31030000E+03`	`2.31030000E+03`
`Syn10M03H`	`0.2390`	`1.0360`	`0.231`	`3.35468000E+03`	`3.35468000E+03`
`Syn10M03M`	`0.0940`	`0.6150`	`0.153`	`3.35468000E+03`	`3.35468000E+03`
`Syn10M04H`	`0.2800`	`1.0810`	`0.259`	`4.55706000E+03`	`4.55706000E+03`
`Syn10M04M`	`0.2310`	`1.0700`	`0.216`	`4.55706000E+03`	`4.55706000E+03`
`Syn20H`	`0.1130`	`0.9380`	`0.120`	`9.24263000E+02`	`9.24263000E+02`
`Syn20M02H`	`0.2350`	`1.1640`	`0.202`	`1.75213000E+03`	`1.75213000E+03`
`Syn20M02M`	`0.2670`	`1.3020`	`0.205`	`1.75213000E+03`	`1.75213000E+03`
`Syn20M03H`	`0.4420`	`2.0970`	`0.211`	`2.64695000E+03`	`2.64695000E+03`
`Syn20M03M`	`0.3560`	`2.9490`	`0.121`	`2.64695000E+03`	`2.64695000E+03`
`Syn20M04H`	`0.5890`	`2.9870`	`0.197`	`3.53274000E+03`	`3.53274000E+03`
`Syn20M04M`	`0.4250`	`9.0510`	`0.047`	`3.53274000E+03`	`3.53274000E+03`
`Syn20M`	`0.1580`	`0.4590`	`0.344`	`9.24263000E+02`	`9.24263000E+02`
`Syn40M02H`	`0.6510`	`1.5640`	`0.416`	`3.88773000E+02`	`3.88773000E+02`
`Syn40M02M`	`0.5770`	`9.7590`	`0.059`	`3.88772000E+02`	`3.88772000E+02`
`Syn40M03H`	`1.2760`	`15.4660`	`0.083`	`3.95149000E+02`	`3.95149000E+02`
`Syn40M03M`	`1.0780`	`3068.0700`	`0.000`	`3.95148000E+02`	`3.95148000E+02`
`Syn40M04H`	`1.8580`	`15.3270`	`0.121`	`9.01752000E+02`	`9.01752000E+02`
`Syn40M04M`	`1.2810`	`5722.4800`	`0.000`	`9.01751000E+02`	`9.01751000E+02`
`Syn40M`	`0.2920`	`1.2650`	`0.231`	`6.77133000E+01`	`6.77133000E+01`
`sssd-12-5-3`	`10.4130`	`42.0410`	`0.248`	`2.61143000E+05`	`2.61143000E+05`
`sssd-16-8-3`	`338.5340`	`761.9770`	`0.444`	`6.15763000E+05`	`6.15763000E+05`
`nd-12`	`12.4500`	`183.5050`	`0.068`	`5.66696000E+01`	`5.66696000E+01`
`nd-13`	`969.3710`	`7221.9700`	`0.134`	`6.30051000E+01`	`6.30051000E+01`
`fo7_2`	`12.2390`	`99.3470`	`0.123`	`1.77493000E+01`	`1.77493000E+01`
`fo7_ar2_1`	`9.6780`	`401.3470`	`0.024`	`2.48398000E+01`	`2.48398000E+01`
`fo7_ar25_1`	`12.1740`	`220.1330`	`0.055`	`2.30936000E+01`	`2.30936000E+01`
`fo7_ar3_1`	`15.4120`	`192.7660`	`0.080`	`2.25175000E+01`	`2.25175000E+01`
`fo7_ar4_1`	`11.5850`	`259.7450`	`0.045`	`2.07298000E+01`	`2.07298000E+01`
`fo7_ar5_1`	`4.2450`	`55.1540`	`0.077`	`1.77493000E+01`	`1.77493000E+01`
`fo7`	`37.0670`	`1100.1200`	`0.034`	`2.07298000E+01`	`2.07298000E+01`
`fo8_ar2_1`	`52.4780`	`2301.8800`	`0.023`	`3.03406000E+01`	`3.03406000E+01`
`fo8_ar25_1`	`87.1140`	`3448.7200`	`0.025`	`2.80452000E+01`	`2.80452000E+01`
`fo8_ar3_1`	`12.0520`	`1526.5000`	`0.008`	`2.39101000E+01`	`2.39101000E+01`
`fo8_ar4_1`	`6.9970`	`802.0580`	`0.009`	`2.23819000E+01`	`2.23819000E+01`
`fo8_ar5_1`	`22.0040`	`748.5300`	`0.029`	`2.23819000E+01`	`2.23819000E+01`
`fo8`	`130.2710`	`3903.7200`	`0.033`	`2.23819000E+01`	`2.23819000E+01`
`fo9_ar3_1`	`41.5170`	`4415.4200`	`0.009`	`2.48155000E+01`	`2.48155000E+01`
`fo9_ar4_1`	`31.7720`	`2857.2600`	`0.011`	`2.34643000E+01`	`2.34643000E+01`
`fo9_ar5_1`	`104.1320`	`5114.2900`	`0.020`	`2.34643000E+01`	`2.34643000E+01`
`fo9`	`475.5770`	`7273.4200`	`0.065`	`2.34643000E+01`	`2.34643000E+01`
`m3`	`0.1210`	`0.4080`	`0.297`	`3.78000000E+01`	`3.78000000E+01`
`m6`	`0.3750`	`17.3510`	`0.022`	`8.22569000E+01`	`8.22569000E+01`
`m7_ar2_1`	`2.4430`	`79.1760`	`0.031`	`1.90235000E+02`	`1.90235000E+02`
`m7_ar25_1`	`0.7410`	`20.5300`	`0.036`	`1.43585000E+02`	`1.43585000E+02`
`m7_ar3_1`	`2.2540`	`84.1390`	`0.027`	`1.43585000E+02`	`1.43585000E+02`
`m7_ar4_1`	`0.2950`	`134.7340`	`0.002`	`1.06757000E+02`	`1.06757000E+02`
`m7_ar5_1`	`1.5140`	`173.0310`	`0.009`	`1.06460000E+02`	`1.06460000E+02`
`m7`	`0.9230`	`57.0230`	`0.016`	`1.06757000E+02`	`1.06757000E+02`
`no7_ar2_1`	`7.2730`	`204.2040`	`0.036`	`1.07815000E+02`	`1.07815000E+02`
`no7_ar25_1`	`23.0790`	`613.4560`	`0.038`	`1.07815000E+02`	`1.07815000E+02`
`no7_ar3_1`	`77.2440`	`1017.7600`	`0.076`	`1.07815000E+02`	`1.07815000E+02`
`no7_ar4_1`	`74.2580`	`879.8670`	`0.084`	`9.85184000E+01`	`9.85184000E+01`
`no7_ar5_1`	`70.2040`	`373.7740`	`0.188`	`9.06227000E+01`	`9.06227000E+01`
`o7_2`	`518.8520`	`1688.1700`	`0.307`	`1.16946000E+02`	`1.16946000E+02`
`o7_ar2_1`	`52.5910`	`596.8440`	`0.088`	`1.40412000E+02`	`1.40412000E+02`
`o7_ar25_1`	`239.0250`	`1431.4000`	`0.167`	`1.40412000E+02`	`1.40412000E+02`
`o7_ar3_1`	`477.7380`	`1752.8300`	`0.273`	`1.37932000E+02`	`1.37932000E+02`
`o7_ar5_1`	`333.8150`	`1246.5100`	`0.268`	`1.16946000E+02`	`1.16946000E+02`
`tls2`	`0.3770`	`11.3150`	`0.033`	`5.30000000E+00`	`5.30000000E+00`
`tls4`	`236.7010`	`1252.1500`	`0.189`	`8.30000000E+00`	`8.30000000E+00`

Solver BONMIN_bonmin-oa-cpx faster - Obj of BONMIN_bonmin-oa-cpx better:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`o8_ar4_1`	`5426.3700`	`7344.6000`	`0.739`	`2.43071000E+02`	`2.53219000E+02`

Solver BONMIN_bonmin-oa-cpx faster - Obj same for both solvers:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`clay0305m`	`10.1620`	`11.6780`	`0.870`	`8.09250000E+03`	`8.09250000E+03`
`FLay04M`	`6.1940`	`12.1130`	`0.511`	`5.44059000E+01`	`5.44059000E+01`
`SLay09M`	`23.3270`	`42.7860`	`0.545`	`1.07806000E+05`	`1.07806000E+05`
`Syn40H`	`0.7120`	`1.2300`	`0.579`	`6.77134000E+01`	`6.77134000E+01`
`sssd-15-6-3`	`41.0080`	`61.3160`	`0.669`	`4.40711000E+05`	`4.40711000E+05`
`nd-10`	`34.4900`	`42.5860`	`0.810`	`5.24611000E+01`	`5.24611000E+01`
`netmod_dol2`	`235.5120`	`337.4090`	`0.698`	`-5.60008000E-01`	`-5.60008000E-01`
`o7_ar4_1`	`1632.0700`	`2517.3300`	`0.648`	`1.31653000E+02`	`1.31653000E+02`
`o7`	`2462.8400`	`4029.9400`	`0.611`	`1.31653000E+02`	`1.31653000E+02`

Solvers perform the same - Obj same for both solvers:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`sssd-8-4-3`	`1.2580`	`1.3250`	`0.949`	`1.97181000E+05`	`1.97181000E+05`
`sssd-10-4-3`	`1.7300`	`1.6560`	`1.045`	`1.52710000E+05`	`1.52710000E+05`

Solver BONMIN_bonmin-hyb faster - Obj same for both solvers:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`FLay04H`	`24.4840`	`18.5320`	`1.321`	`5.44059000E+01`	`5.44059000E+01`
`sssd-18-8-3`	`1244.5200`	`841.6700`	`1.479`	`5.24063000E+05`	`5.24063000E+05`

Solver BONMIN_bonmin-hyb much faster - Obj same for both solvers:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`FLay05H`	`5798.8800`	`315.7480`	`18.366`	`6.44981000E+01`	`6.44981000E+01`
`FLay05M`	`3181.8400`	`75.7710`	`41.993`	`6.44981000E+01`	`6.44981000E+01`
`SLay10M`	`1865.1800`	`483.9660`	`3.854`	`1.29580000E+05`	`1.29580000E+05`
`uflquad-15-60`	`1331.2400`	`55.1940`	`24.119`	`1.06319000E+03`	`1.06319000E+03`
`uflquad-15-80`	`6321.9900`	`124.7640`	`50.672`	`1.21799000E+03`	`1.21799000E+03`
`uflquad-20-40`	`1139.1300`	`58.3210`	`19.532`	`8.60961000E+02`	`8.60961000E+02`
`uflquad-25-25`	`187.6740`	`28.7690`	`6.523`	`6.73697000E+02`	`6.73697000E+02`
`uflquad-25-30`	`177.6590`	`26.8910`	`6.607`	`6.69840000E+02`	`6.69840000E+02`
`uflquad-25-40`	`2968.5600`	`107.6530`	`27.575`	`8.28165000E+02`	`8.28165000E+02`
`netmod_kar1`	`80.3490`	`29.9370`	`2.684`	`-4.19790000E-01`	`-4.19790000E-01`
`netmod_kar2`	`80.1860`	`29.9190`	`2.680`	`-4.19790000E-01`	`-4.19790000E-01`

Solver BONMIN_bonmin-hyb infinitely faster - Obj of BONMIN_bonmin-hyb better:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`FLay06H`	`fail`	`7283.5900`	--	`1.00000000E+20`	`6.69328000E+01`
`FLay06M`	`fail`	`7285.6700`	--	`1.00000000E+20`	`6.69328000E+01`
`SLay10H`	`fail`	`7222.4000`	--	`1.00000000E+20`	`1.29810000E+05`
`sssd-20-9-3`	`fail`	`7256.2400`	--	`1.00000000E+20`	`4.78366000E+05`
`sssd-22-8-3`	`fail`	`7409.5600`	--	`1.00000000E+20`	`5.96029000E+05`
`uflquad-20-50`	`fail`	`7234.9200`	--	`1.00000000E+20`	`3.75919000E+02`
`nd-15`	`fail`	`7221.2500`	--	`8.04694000E+01`	`8.20272000E+01`
`netmod_dol1`	`fail`	`7225.1600`	--	`1.00000000E+20`	`-5.57823000E-01`
`o9_ar4_1`	`fail`	`7273.9800`	--	`1.00000000E+20`	`2.77698000E+02`
`tls5`	`fail`	`7236.9600`	--	`1.00000000E+20`	`1.10000000E+01`
`tls6`	`fail`	`7234.6800`	--	`1.00000000E+20`	`1.70000000E+01`

Both solvers failed to solve optimally - Obj same for both solvers:

Modelname	Time (BONMIN_bonmin-oa-cpx)	Time (BONMIN_bonmin-hyb)	Ratio (BONMIN_bonmin-oa-cpx / BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-oa-cpx)	Obj (BONMIN_bonmin-hyb)
`tls12`	`fail`	`fail`	--	`1.00000000E+20`	`1.00000000E+20`
`tls7`	`fail`	`fail`	--	`1.00000000E+20`	`1.00000000E+20`