Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 06/13/04 21:30:48

Solver comparison utility.

Compares all solver return outcomes (for example optimal, locally optimal, infeasible, unbounded, fail) of one solver with all return outcomes of another solver. Interrupt denotes resource or iteration limit has been reached. Solver CONOPT is represented on the left (rows) and solver MINOS on top (columns). See the solver return definitions for return codes.

Models having trace data only in one trace file are listed in the "no data" column of the other.

Tracefile 1 :	`traceconopt.trc`
Tracefile 2 :	`traceminos.trc`
Solvers used :	`CONOPT`
	`MINOS`
Modeltype(s)	NLP

	optimal	locally optimal	feasible	infeasible	unbounded	fail	no data	total CONOPT
optimal	`1`	-	-	-	-	-	-	`1`
locally optimal	-	`252`	`13`	`2`	-	-	-	`267`
feasible	-	-	`1`	-	-	-	-	`1`
infeasible	-	`11`	`1`	`9`	-	-	-	`21`
unbounded	-	-	-	-	-	-	-	`-`
fail	-	-	-	-	-	-	-	`-`
no data	-	-	-	-	-	-	-	`-`
total MINOS	`1`	`263`	`15`	`11`	`-`	`-`	`-`	`290`

Solver return definitions:

Outcome	Model Status	Solver Status
optimal	1 or 15	1
locally optimal	2	any
feasible	7 or 16 or 17	1 or 2 or 3 or 4 or 5
infeasible	4 or 5 or 19	1
unbounded	3 or 18	1
fail	all other	all other

Solver Resource Times

Models for each solver pair outcome. Listed are the solver resource times TIME(.) in seconds, as well as the ratio RATIO(./.) of resource times for the two solvers if both solved optimally.
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 1.00E-05. If both solutions are less than 1e-1, we use the absolute difference.
Solver resource time ratios for a particular model are listed only if one solver has resource greater than 5.00E-02.

CONOPT: optimal -- MINOS: optimal Back to top

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Obj (MINOS)
`qp5`	`0.0100`	`0.0100`	`---`	`0.43145590`	`0.43145590`

CONOPT: locally optimal -- MINOS: locally optimal Back to top

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Obj (MINOS)
`abel`	`0.0100`	`0.0000`	`---`	`225.19458319`	`225.19458319`
`alkyl`	`0.0000`	`0.0000`	`---`	`-1.76499965`	`-1.76499965`
`bayes2_10`	`0.0400`	`0.0800`	`0.500`	`0.01837518`	`415.55224592`
`bayes2_20`	`0.0300`	`0.0700`	`0.429`	`0.01336942`	`733.58395467`
`bayes2_30`	`0.0300`	`0.1700`	`0.176`	`7.85662103`	`0.25120064`
`bayes2_50`	`0.0600`	`0.0800`	`0.750`	`63.50347124`	`0.52020841`
`bearing`	`0.0100`	`0.0000`	`---`	`1.95173322`	`1.95179295`
`btest14`	`0.0200`	`0.0100`	`---`	`31.97751489`	`31.97751489`
`camcge`	`0.0100`	`0.0200`	`---`	`-191.73462424`	`-191.73462424`
`chain100`	`0.0500`	`0.3000`	`0.167`	`5.06978461`	`5.06978462`
`chain25`	`0.0200`	`0.1000`	`0.200`	`5.07226149`	`5.07226149`
`chain50`	`0.0100`	`0.1000`	`0.100`	`5.07226149`	`5.07226149`
`chakra`	`0.0100`	`0.0000`	`---`	`-179.13355787`	`-179.13355786`
`chance`	`0.0000`	`0.0100`	`---`	`29.89437816`	`29.89437816`
`chem`	`0.0000`	`0.0000`	`---`	`-47.70651483`	`-47.70651483`
`chenery`	`0.0100`	`0.0000`	`---`	`-1058.91985563`	`-1058.91989148`
`circle`	`0.0000`	`0.0100`	`---`	`4.57424779`	`4.57424779`
`demo7`	`0.0100`	`0.0400`	`---`	`-1589042.38619809`	`-1589042.38618937`
`dispatch`	`0.0100`	`0.0000`	`---`	`3155.28792686`	`3155.28792686`
`elec25`	`0.1000`	`1.9500`	`0.051`	`243.81276030`	`243.81276030`
`elec50`	`0.4800`	`6.2200`	`0.077`	`1055.18231473`	`1055.18231473`
`etamac`	`0.0100`	`0.0200`	`---`	`-15.29467564`	`-15.29467564`
`ex14_1_1`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_1_2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_1_3`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_1_4`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_1_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_1_6`	`0.0000`	`0.0000`	`---`	`1.00000000`	`1.00000000`
`ex14_1_7`	`0.0100`	`0.0000`	`---`	`7.04274947`	`7.04274947`
`ex14_1_8`	`0.0000`	`0.0000`	`---`	`0.04141589`	`0.04141589`
`ex14_1_9`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_4`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_6`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_2_7`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_8`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_9`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex2_1_1`	`0.0000`	`0.0000`	`---`	`-17.00000000`	`-17.00000000`
`ex2_1_10`	`0.0000`	`0.0000`	`---`	`49318.01795841`	`133718.84489665`
`ex2_1_2`	`0.0000`	`0.0000`	`---`	`-213.00000000`	`-213.00000000`
`ex2_1_3`	`0.0100`	`0.0000`	`---`	`-15.00000000`	`-15.00000000`
`ex2_1_4`	`0.0000`	`0.0000`	`---`	`-11.00000000`	`-11.00000000`
`ex2_1_5`	`0.0000`	`0.0000`	`---`	`-268.01463154`	`-268.01463154`
`ex2_1_6`	`0.0100`	`0.0000`	`---`	`-39.00000000`	`-39.00000000`
`ex2_1_7`	`0.0000`	`0.0000`	`---`	`-4150.41013393`	`-4150.41013393`
`ex2_1_8`	`0.0000`	`0.0000`	`---`	`15639.00000000`	`25287.00000000`
`ex2_1_9`	`0.0100`	`0.0000`	`---`	`-0.37500000`	`-0.37500000`
`ex3_1_1`	`0.0000`	`0.0000`	`---`	`7049.24802053`	`7049.24802053`
`ex3_1_2`	`0.0000`	`0.0000`	`---`	`-30665.53867179`	`-30665.53867179`
`ex3_1_3`	`0.0000`	`0.0000`	`---`	`-310.00000000`	`-310.00000000`
`ex3_1_4`	`0.0000`	`0.0000`	`---`	`-4.00000000`	`-4.00000000`
`ex4_1_1`	`0.0100`	`0.0000`	`---`	`-7.48731236`	`-7.48731236`
`ex4_1_2`	`0.0100`	`0.0000`	`---`	`-663.50009661`	`-663.50009661`
`ex4_1_3`	`0.0000`	`0.0000`	`---`	`-443.67170474`	`-443.67170474`
`ex4_1_4`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex4_1_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex4_1_6`	`0.0100`	`0.0000`	`---`	`7.00000000`	`7.00000000`
`ex4_1_7`	`0.0000`	`0.0000`	`---`	`-7.50000000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`0.0000`	`---`	`-16.73889318`	`-16.73889318`
`ex4_1_9`	`0.0000`	`0.0000`	`---`	`-5.50801327`	`-5.50801327`
`ex5_2_2_case1`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex5_2_2_case2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex5_2_2_case3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex5_2_4`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-100.00000000`
`ex5_2_5`	`0.0100`	`0.0100`	`---`	`-3500.00000000`	`-1900.00000000`
`ex5_4_2`	`0.0000`	`0.0100`	`---`	`7512.23014450`	`7512.23014450`
`ex6_1_1`	`0.0000`	`0.0000`	`---`	`-0.02019831`	`-0.02019831`
`ex6_1_2`	`0.0000`	`0.0000`	`---`	`-0.03246375`	`-0.03246375`
`ex6_1_3`	`0.0100`	`0.0000`	`---`	`-0.35249780`	`-0.35249780`
`ex6_1_4`	`0.0000`	`0.0000`	`---`	`-0.29454129`	`-0.29454129`
`ex6_2_11`	`0.0000`	`0.0000`	`---`	`-0.00000267`	`-0.00000267`
`ex6_2_12`	`0.0000`	`0.0000`	`---`	`0.28919475`	`0.28919475`
`ex6_2_14`	`0.0000`	`0.0100`	`---`	`-0.69535793`	`-0.69535793`
`ex6_2_5`	`0.0100`	`0.0000`	`---`	`-70.75207783`	`-70.75207783`
`ex6_2_6`	`0.0100`	`0.0000`	`---`	`0.00000071`	`0.00000071`
`ex6_2_7`	`0.0000`	`0.0000`	`---`	`-0.16084762`	`-0.16084762`
`ex6_2_8`	`0.0100`	`0.0000`	`---`	`-0.02700635`	`-0.02700635`
`ex6_2_9`	`0.0000`	`0.0000`	`---`	`-0.03406618`	`-0.03406618`
`ex7_2_1`	`0.0000`	`0.0100`	`---`	`1227.22607309`	`1227.22606413`
`ex7_2_2`	`0.0100`	`0.0200`	`---`	`-0.37461370`	`-0.38881144`
`ex7_2_3`	`0.0100`	`0.0000`	`---`	`7049.24800911`	`7049.21807243`
`ex7_2_4`	`0.0100`	`0.0000`	`---`	`3.91801023`	`4.20285304`
`ex7_3_1`	`0.0100`	`0.0000`	`---`	`0.34173955`	`2.00000000`
`ex7_3_2`	`0.0000`	`0.0000`	`---`	`1.08986397`	`1.08986397`
`ex7_3_3`	`0.0000`	`0.0000`	`---`	`1.14477980`	`1.14477980`
`ex7_3_4`	`0.0100`	`0.0000`	`---`	`10.00000000`	`10.00000000`
`ex8_1_1`	`0.0000`	`0.0000`	`---`	`-2.02180678`	`-2.02180678`
`ex8_1_2`	`0.0000`	`0.0100`	`---`	`2.80345848`	`2.80345848`
`ex8_1_3`	`0.0100`	`0.0000`	`---`	`30.00000000`	`30.00000000`
`ex8_1_4`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex8_1_6`	`0.0000`	`0.0000`	`---`	`-0.00000105`	`-5.06543974`
`ex8_1_8`	`0.0100`	`0.0100`	`---`	`-0.37461370`	`-0.38881144`
`ex8_3_1`	`0.2400`	`0.5000`	`0.480`	`-0.81412104`	`-0.81668477`
`ex8_3_12`	`0.0200`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex8_3_13`	`0.0500`	`0.0300`	`1.667`	`-36.08469789`	`0.00000000`
`ex8_3_2`	`0.0200`	`0.1300`	`0.154`	`-0.41233018`	`-0.41233019`
`ex8_3_3`	`0.0400`	`0.1600`	`0.250`	`-0.41660308`	`-0.41660308`
`ex8_3_6`	`0.0100`	`0.2000`	`0.050`	`-0.50000000`	`-0.50000000`
`ex8_3_9`	`0.0100`	`0.1000`	`0.100`	`-0.74161985`	`-0.76300193`
`ex8_4_1`	`0.0000`	`0.0100`	`---`	`0.61857276`	`0.61857276`
`ex8_4_2`	`0.0100`	`0.0100`	`---`	`0.48515249`	`0.48515249`
`ex8_4_3`	`0.0100`	`0.0100`	`---`	`0.00464972`	`0.00464972`
`ex8_4_4`	`0.0000`	`0.0000`	`---`	`0.21245984`	`0.21245984`
`ex8_4_5`	`0.0100`	`0.0100`	`---`	`0.00122530`	`0.00030749`
`ex8_4_6`	`0.0200`	`0.0100`	`---`	`0.00110498`	`0.00110498`
`ex8_4_7`	`0.0100`	`0.0000`	`---`	`29.04730674`	`29.04730672`
`ex8_6_1`	`0.3700`	`0.0700`	`5.286`	`-26.62331977`	`-26.49049870`
`ex8_6_2`	`0.1000`	`0.0700`	`1.429`	`-23.04290080`	`-31.28492061`
`ex9_1_1`	`0.0000`	`0.0000`	`---`	`-13.00000000`	`-13.00000000`
`ex9_1_10`	`0.0000`	`0.0100`	`---`	`-3.25000000`	`-3.25000000`
`ex9_1_2`	`0.0000`	`0.0000`	`---`	`-16.00000000`	`-3.00000000`
`ex9_1_5`	`0.0000`	`0.0000`	`---`	`-1.00000000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`0.0000`	`---`	`-3.25000000`	`-3.25000000`
`ex9_2_1`	`0.0000`	`0.0000`	`---`	`17.00000000`	`17.00000000`
`ex9_2_2`	`0.0000`	`0.0100`	`---`	`99.99988613`	`99.99999205`
`ex9_2_3`	`0.0000`	`0.0100`	`---`	`5.00000000`	`0.00000000`
`ex9_2_4`	`0.0000`	`0.0000`	`---`	`0.50000000`	`0.50000000`
`ex9_2_5`	`0.0000`	`0.0000`	`---`	`9.00000000`	`5.00000000`
`ex9_2_6`	`0.0000`	`0.0000`	`---`	`-1.00000000`	`-1.00000000`
`ex9_2_7`	`0.0000`	`0.0000`	`---`	`17.00000000`	`17.00000000`
`ex9_2_8`	`0.0000`	`0.0100`	`---`	`1.50000000`	`1.50000000`
`gtm`	`0.0100`	`0.0100`	`---`	`543.56509479`	`543.56509479`
`harker`	`0.0000`	`0.0000`	`---`	`-986.51348399`	`-986.51348399`
`haverly`	`0.0000`	`0.0000`	`---`	`-400.00000000`	`-400.00000000`
`hhfair`	`0.0100`	`0.0100`	`---`	`-87.15903761`	`-87.15903759`
`himmel11`	`0.0000`	`0.0000`	`---`	`-30665.53867810`	`-30665.53867178`
`himmel16`	`0.0100`	`0.0100`	`---`	`-0.67498144`	`-0.67498144`
`house`	`0.0000`	`0.0000`	`---`	`-4500.00000000`	`-4500.00000000`
`hydro`	`0.0100`	`0.0000`	`---`	`4366944.15975814`	`4366944.15975813`
`korcge`	`0.0000`	`0.0100`	`---`	`-339.21302800`	`-339.21302800`
`launch`	`0.0000`	`0.0100`	`---`	`2257.79755763`	`2257.79755763`
`least`	`0.0100`	`0.0000`	`---`	`14085.13984893`	`14085.13984893`
`like`	`0.0200`	`0.0100`	`---`	`1138.41056442`	`1138.41056442`
`lnts50`	`0.0900`	`0.1000`	`0.900`	`0.55466876`	`0.55466876`
`meanvar`	`0.0000`	`0.0100`	`---`	`5.24339907`	`5.24339907`
`mhw4d`	`0.0100`	`0.0000`	`---`	`27.87190522`	`27.87190522`
`minlphi`	`0.0000`	`0.0000`	`---`	`582.23614204`	`582.23614204`
`otpop`	`0.0200`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`pindyck`	`0.0100`	`0.0000`	`---`	`-1170.48628544`	`-1170.48628544`
`pollut`	`0.0100`	`0.0000`	`---`	`-5353268.62874738`	`-5353268.62874738`
`process`	`0.0000`	`0.0000`	`---`	`-1161.33660154`	`-1161.33660242`
`prolog`	`0.0000`	`0.0100`	`---`	`1.06218530`	`1.06218530`
`qp1`	`0.0700`	`0.0600`	`1.167`	`0.00080932`	`0.00080932`
`qp2`	`0.0400`	`0.0300`	`---`	`0.00080932`	`0.00080932`
`qp3`	`0.0100`	`0.0200`	`---`	`0.00080932`	`0.00080932`
`qp4`	`0.0100`	`0.0000`	`---`	`0.00080932`	`0.00080932`
`ramsey`	`0.0100`	`0.0000`	`---`	`-2.48746864`	`-2.48746864`
`rbrock`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`sambal`	`0.0000`	`0.0000`	`---`	`3.96822036`	`3.96822036`
`sample`	`0.0000`	`0.0000`	`---`	`726.67935781`	`726.66841727`
`ship`	`0.0000`	`0.0000`	`---`	`5.54091471`	`5.54091471`
`srcpm`	`0.0100`	`0.0000`	`---`	`2109.78183275`	`2109.78183275`
`st_bpaf1a`	`0.0000`	`0.0100`	`---`	`-45.37971014`	`-45.37971014`
`st_bpaf1b`	`0.0000`	`0.0000`	`---`	`-42.96255760`	`-42.96255760`
`st_bpk1`	`0.0000`	`0.0000`	`---`	`-10.00000000`	`-10.00000000`
`st_bpk2`	`0.0000`	`0.0000`	`---`	`-10.00000000`	`-10.00000000`
`st_bpv1`	`0.0000`	`0.0000`	`---`	`10.00000000`	`10.00000000`
`st_bpv2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_bsj2`	`0.0000`	`0.0000`	`---`	`1.00000000`	`1.00000000`
`st_bsj3`	`0.0000`	`0.0000`	`---`	`-34843.05000000`	`-34843.05000000`
`st_bsj4`	`0.0000`	`0.0000`	`---`	`-44347.05000000`	`-55379.66111111`
`st_cqpf`	`0.0000`	`0.0000`	`---`	`-2.75000000`	`-2.75000000`
`st_cqpjk1`	`0.0100`	`0.0100`	`---`	`-12.44444222`	`-12.44444222`
`st_cqpjk2`	`0.0000`	`0.0000`	`---`	`-12.50000000`	`-12.50000000`
`st_e01`	`0.0000`	`0.0000`	`---`	`-4.00000000`	`-6.66666667`
`st_e03`	`0.0100`	`0.0100`	`---`	`-1161.33660236`	`-1161.33660236`
`st_e04`	`0.0000`	`0.0000`	`---`	`5194.86624420`	`5194.86624420`
`st_e05`	`0.0000`	`0.1400`	`0.000`	`7049.24927248`	`7049.24927242`
`st_e06`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_e07`	`0.0000`	`0.0000`	`---`	`-400.00000000`	`-400.00000000`
`st_e09`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_e10`	`0.0000`	`0.0000`	`---`	`-16.73889318`	`-16.73889318`
`st_e11`	`0.0000`	`0.0000`	`---`	`189.31162969`	`286.94277335`
`st_e17`	`0.0000`	`0.0000`	`---`	`376.29193233`	`376.29193233`
`st_e19`	`0.0100`	`0.0000`	`---`	`10.35382907`	`10.35382907`
`st_e20`	`0.0000`	`0.0000`	`---`	`-0.37461370`	`-0.38881144`
`st_e22`	`0.0000`	`0.0000`	`---`	`-68.00000000`	`-80.00000000`
`st_e23`	`0.0000`	`0.0000`	`---`	`-1.00000000`	`-1.08333333`
`st_e24`	`0.0000`	`0.0000`	`---`	`4.00000000`	`4.00000000`
`st_e25`	`0.0000`	`0.0100`	`---`	`0.89019359`	`0.89019359`
`st_e26`	`0.0000`	`0.0000`	`---`	`-185.77920000`	`-185.77920000`
`st_e28`	`0.0000`	`0.0100`	`---`	`-30665.53867810`	`-30665.53867178`
`st_e33`	`0.0000`	`0.0000`	`---`	`-400.00000000`	`-400.00000000`
`st_e34`	`0.0000`	`0.0000`	`---`	`0.01561953`	`0.01561953`
`st_e37`	`0.0000`	`0.0000`	`---`	`0.97913912`	`0.01583938`
`st_e39`	`0.0100`	`0.0000`	`---`	`-0.00000105`	`-5.06543974`
`st_e41`	`0.0000`	`0.0000`	`---`	`641.82356232`	`641.82356228`
`st_e42`	`0.0100`	`0.0000`	`---`	`18.78420000`	`18.78420000`
`st_fp1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_fp2`	`0.0000`	`0.0000`	`---`	`-213.00000000`	`-213.00000000`
`st_fp3`	`0.0000`	`0.0000`	`---`	`-10.10937500`	`-10.10937500`
`st_fp4`	`0.0000`	`0.0000`	`---`	`-11.00000000`	`-11.00000000`
`st_fp5`	`0.0000`	`0.0000`	`---`	`-268.01463154`	`-268.01463154`
`st_fp6`	`0.0000`	`0.0000`	`---`	`-16.22222222`	`-18.22222222`
`st_fp7a`	`0.0100`	`0.0100`	`---`	`1.47958635`	`1.47958635`
`st_fp7b`	`0.0000`	`0.0000`	`---`	`-397.95542807`	`-470.52200965`
`st_fp7c`	`0.0100`	`0.0100`	`---`	`-3959.10856136`	`-5410.44019294`
`st_fp7d`	`0.0100`	`0.0100`	`---`	`6.55405444`	`6.55405444`
`st_fp7e`	`0.0000`	`0.0000`	`---`	`12.75070976`	`12.75070976`
`st_fp8`	`0.0000`	`0.0100`	`---`	`29463.00000000`	`20560.00000000`
`st_glmp_fp1`	`0.0000`	`0.0000`	`---`	`20.00000000`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`0.0000`	`---`	`7.62750000`	`7.62750000`
`st_glmp_fp3`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_glmp_kk90`	`0.0000`	`0.0100`	`---`	`3.00000000`	`4.00000000`
`st_glmp_kk92`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_glmp_kky`	`0.0000`	`0.0000`	`---`	`1.50000000`	`1.50000000`
`st_glmp_ss1`	`0.0000`	`0.0000`	`---`	`-24.57142857`	`-24.57142857`
`st_glmp_ss2`	`0.0000`	`0.0000`	`---`	`8.25000000`	`8.25000000`
`st_ht`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_iqpbk1`	`0.0000`	`0.0000`	`---`	`-621.48782500`	`-621.48782500`
`st_iqpbk2`	`0.0000`	`0.0100`	`---`	`-1195.22565000`	`-1195.22565000`
`st_jcbpaf2`	`0.0100`	`0.0000`	`---`	`-794.85591398`	`-388.34910774`
`st_jcbpafex`	`0.0000`	`0.0000`	`---`	`-1.00000000`	`-1.08333333`
`st_kr`	`0.0000`	`0.0000`	`---`	`-68.00000000`	`-80.00000000`
`st_m1`	`0.0000`	`0.0000`	`---`	`-461356.93887879`	`-461356.93887879`
`st_m2`	`0.0100`	`0.0100`	`---`	`-856648.81868507`	`-856648.81868507`
`st_pan1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_pan2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph10`	`0.0100`	`0.0000`	`---`	`-10.50000000`	`-10.50000000`
`st_ph11`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph12`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph13`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph14`	`0.0000`	`0.0000`	`---`	`-215.12500000`	`-215.12500000`
`st_ph15`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph20`	`0.0000`	`0.0100`	`---`	`-158.00000000`	`-158.00000000`
`st_ph3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_phex`	`0.0000`	`0.0000`	`---`	`-68.00000000`	`-80.00000000`
`st_qpc-m0`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m1`	`0.0000`	`0.0000`	`---`	`-473.77777778`	`-473.77777778`
`st_qpc-m3a`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m3b`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m4`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_qpk1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpk2`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_qpk3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_rv1`	`0.0000`	`0.0100`	`---`	`-59.90434506`	`-59.90434506`
`st_rv2`	`0.0000`	`0.0000`	`---`	`-64.48069510`	`-61.56223652`
`st_rv3`	`0.0000`	`0.0100`	`---`	`-35.76067064`	`-35.76067064`
`st_rv7`	`0.0000`	`0.0000`	`---`	`-118.15121322`	`-118.15121322`
`st_rv8`	`0.0000`	`0.0100`	`---`	`-132.66162896`	`-132.66162896`
`st_rv9`	`0.0000`	`0.0000`	`---`	`-120.11640294`	`-114.66276537`
`st_z`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`wall`	`0.0000`	`0.0000`	`---`	`1.00000466`	`1.00000466`
`weapons`	`0.0100`	`0.0100`	`---`	`-1735.56957986`	`-1735.56957986`
`worst`	`0.0000`	`0.0000`	`---`	`20762609.21087110`	`20762609.21087110`

CONOPT: locally optimal -- MINOS: feasible Back to top

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Obj (MINOS)
`elec100`	`3.5800`	`30.0300`	`0.119`	`4448.41042065`	`3673.86874227`
`ex6_2_10`	`0.0000`	`0.0100`	`---`	`-3.05197613`	`-3.05122548`
`ex6_2_13`	`0.0000`	`0.0000`	`---`	`-0.21620944`	`-0.21020929`
`ex8_2_4`	`0.0800`	`4.4900`	`0.018`	`0.00000023`	`0.00001171`
`ex8_4_8`	`0.0100`	`0.0000`	`---`	`3.32184731`	`171.62156319`
`ex8_5_1`	`0.0100`	`0.0000`	`---`	`-0.00000041`	`0.82038073`
`ex8_5_2`	`0.0100`	`0.0000`	`---`	`-0.00000001`	`-3.65453824`
`ex8_5_3`	`0.0100`	`0.0000`	`---`	`0.00237175`	`-5.86102647`
`ex8_5_4`	`0.0000`	`0.0000`	`---`	`0.00000100`	`-0.17795537`
`ex8_5_5`	`0.0000`	`0.0000`	`---`	`-0.01075334`	`0.64175744`
`ex8_5_6`	`0.0000`	`0.0100`	`---`	`0.00000099`	`4.49350171`
`st_e12`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_e21`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`

CONOPT: locally optimal -- MINOS: infeasible Back to top

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Status (MINOS)
`camshape100`	`0.0300`	`0.0300`	---	`-4.28414712`	`mstat( 5) sstat( 1)`
`ex7_3_5`	`0.0000`	`0.0000`	---	`1.20689655`	`mstat( 5) sstat( 1)`

CONOPT: feasible -- MINOS: feasible Back to top

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Obj (MINOS)
`ex8_2_1`	`0.9600`	`0.0000`	`+INF.000`	`-340425017.14043500`	`0.00010520`

CONOPT: infeasible -- MINOS: locally optimal Back to top

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Status (CONOPT)	Obj (MINOS)
`ex5_3_2`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`1.86415946`
`ex5_4_3`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`5937.43734771`
`ex5_4_4`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`10077.77540384`
`ex8_1_7`	`0.0100`	`0.0100`	---	`mstat( 5) sstat( 1)`	`0.02931083`
`ex8_3_10`	`0.0000`	`0.0800`	---	`mstat( 5) sstat( 1)`	`-0.03596508`
`ex8_3_4`	`0.0200`	`0.1600`	---	`mstat( 5) sstat( 1)`	`-3.57998238`
`ex8_3_5`	`0.0200`	`0.1600`	---	`mstat( 5) sstat( 1)`	`-0.06911967`
`ex8_3_7`	`0.0200`	`0.1900`	---	`mstat( 5) sstat( 1)`	`-1.23261919`
`ex9_1_4`	`0.0100`	`0.0000`	---	`mstat( 5) sstat( 1)`	`-37.00000000`
`immun`	`0.0100`	`0.0000`	---	`mstat( 4) sstat( 1)`	`0.00000000`
`st_e18`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`-2.82842712`

CONOPT: infeasible -- MINOS: feasible Back to top

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Status (CONOPT)	Obj (MINOS)
`ex8_3_14`	`0.0300`	`0.0100`	---	`mstat( 5) sstat( 1)`	`-2.08041015`

CONOPT: infeasible -- MINOS: infeasible Back to top

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Status (CONOPT)	Status (MINOS)
`ex5_3_3`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`ex7_3_6`	`0.0100`	`0.0100`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`ex8_3_11`	`0.1600`	`0.1400`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`ex8_3_8`	`0.0200`	`0.0500`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e02`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e08`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e16`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e30`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_robot`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`

CONOPT: optimal: Back to top

Modelname	Time (CONOPT)	Obj (CONOPT)
`qp5`	`0.0100`	`0.43145590`

CONOPT: locally optimal: Back to top

Modelname	Time (CONOPT)	Obj (CONOPT)
`abel`	`0.0100`	`225.19458319`
`alkyl`	`0.0000`	`-1.76499965`
`bayes2_10`	`0.0400`	`0.01837518`
`bayes2_20`	`0.0300`	`0.01336942`
`bayes2_30`	`0.0300`	`7.85662103`
`bayes2_50`	`0.0600`	`63.50347124`
`bearing`	`0.0100`	`1.95173322`
`btest14`	`0.0200`	`31.97751489`
`camcge`	`0.0100`	`-191.73462424`
`camshape100`	`0.0300`	`-4.28414712`
`chain100`	`0.0500`	`5.06978461`
`chain25`	`0.0200`	`5.07226149`
`chain50`	`0.0100`	`5.07226149`
`chakra`	`0.0100`	`-179.13355787`
`chance`	`0.0000`	`29.89437816`
`chem`	`0.0000`	`-47.70651483`
`chenery`	`0.0100`	`-1058.91985563`
`circle`	`0.0000`	`4.57424779`
`demo7`	`0.0100`	`-1589042.38619809`
`dispatch`	`0.0100`	`3155.28792686`
`elec100`	`3.5800`	`4448.41042065`
`elec25`	`0.1000`	`243.81276030`
`elec50`	`0.4800`	`1055.18231473`
`etamac`	`0.0100`	`-15.29467564`
`ex14_1_1`	`0.0000`	`0.00000000`
`ex14_1_2`	`0.0000`	`0.00000000`
`ex14_1_3`	`0.0100`	`0.00000000`
`ex14_1_4`	`0.0000`	`0.00000000`
`ex14_1_5`	`0.0000`	`0.00000000`
`ex14_1_6`	`0.0000`	`1.00000000`
`ex14_1_7`	`0.0100`	`7.04274947`
`ex14_1_8`	`0.0000`	`0.04141589`
`ex14_1_9`	`0.0000`	`0.00000000`
`ex14_2_1`	`0.0000`	`0.00000000`
`ex14_2_2`	`0.0000`	`0.00000000`
`ex14_2_3`	`0.0000`	`0.00000000`
`ex14_2_4`	`0.0000`	`0.00000000`
`ex14_2_5`	`0.0000`	`0.00000000`
`ex14_2_6`	`0.0000`	`0.00000000`
`ex14_2_7`	`0.0000`	`0.00000000`
`ex14_2_8`	`0.0000`	`0.00000000`
`ex14_2_9`	`0.0000`	`0.00000000`
`ex2_1_1`	`0.0000`	`-17.00000000`
`ex2_1_10`	`0.0000`	`49318.01795841`
`ex2_1_2`	`0.0000`	`-213.00000000`
`ex2_1_3`	`0.0100`	`-15.00000000`
`ex2_1_4`	`0.0000`	`-11.00000000`
`ex2_1_5`	`0.0000`	`-268.01463154`
`ex2_1_6`	`0.0100`	`-39.00000000`
`ex2_1_7`	`0.0000`	`-4150.41013393`
`ex2_1_8`	`0.0000`	`15639.00000000`
`ex2_1_9`	`0.0100`	`-0.37500000`
`ex3_1_1`	`0.0000`	`7049.24802053`
`ex3_1_2`	`0.0000`	`-30665.53867179`
`ex3_1_3`	`0.0000`	`-310.00000000`
`ex3_1_4`	`0.0000`	`-4.00000000`
`ex4_1_1`	`0.0100`	`-7.48731236`
`ex4_1_2`	`0.0100`	`-663.50009661`
`ex4_1_3`	`0.0000`	`-443.67170474`
`ex4_1_4`	`0.0000`	`0.00000000`
`ex4_1_5`	`0.0000`	`0.00000000`
`ex4_1_6`	`0.0100`	`7.00000000`
`ex4_1_7`	`0.0000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`-16.73889318`
`ex4_1_9`	`0.0000`	`-5.50801327`
`ex5_2_2_case1`	`0.0100`	`0.00000000`
`ex5_2_2_case2`	`0.0000`	`0.00000000`
`ex5_2_2_case3`	`0.0000`	`0.00000000`
`ex5_2_4`	`0.0000`	`0.00000000`
`ex5_2_5`	`0.0100`	`-3500.00000000`
`ex5_4_2`	`0.0000`	`7512.23014450`
`ex6_1_1`	`0.0000`	`-0.02019831`
`ex6_1_2`	`0.0000`	`-0.03246375`
`ex6_1_3`	`0.0100`	`-0.35249780`
`ex6_1_4`	`0.0000`	`-0.29454129`
`ex6_2_10`	`0.0000`	`-3.05197613`
`ex6_2_11`	`0.0000`	`-0.00000267`
`ex6_2_12`	`0.0000`	`0.28919475`
`ex6_2_13`	`0.0000`	`-0.21620944`
`ex6_2_14`	`0.0000`	`-0.69535793`
`ex6_2_5`	`0.0100`	`-70.75207783`
`ex6_2_6`	`0.0100`	`0.00000071`
`ex6_2_7`	`0.0000`	`-0.16084762`
`ex6_2_8`	`0.0100`	`-0.02700635`
`ex6_2_9`	`0.0000`	`-0.03406618`
`ex7_2_1`	`0.0000`	`1227.22607309`
`ex7_2_2`	`0.0100`	`-0.37461370`
`ex7_2_3`	`0.0100`	`7049.24800911`
`ex7_2_4`	`0.0100`	`3.91801023`
`ex7_3_1`	`0.0100`	`0.34173955`
`ex7_3_2`	`0.0000`	`1.08986397`
`ex7_3_3`	`0.0000`	`1.14477980`
`ex7_3_4`	`0.0100`	`10.00000000`
`ex7_3_5`	`0.0000`	`1.20689655`
`ex8_1_1`	`0.0000`	`-2.02180678`
`ex8_1_2`	`0.0000`	`2.80345848`
`ex8_1_3`	`0.0100`	`30.00000000`
`ex8_1_4`	`0.0000`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.00000000`
`ex8_1_6`	`0.0000`	`-0.00000105`
`ex8_1_8`	`0.0100`	`-0.37461370`
`ex8_2_4`	`0.0800`	`0.00000023`
`ex8_3_1`	`0.2400`	`-0.81412104`
`ex8_3_12`	`0.0200`	`0.00000000`
`ex8_3_13`	`0.0500`	`-36.08469789`
`ex8_3_2`	`0.0200`	`-0.41233018`
`ex8_3_3`	`0.0400`	`-0.41660308`
`ex8_3_6`	`0.0100`	`-0.50000000`
`ex8_3_9`	`0.0100`	`-0.74161985`
`ex8_4_1`	`0.0000`	`0.61857276`
`ex8_4_2`	`0.0100`	`0.48515249`
`ex8_4_3`	`0.0100`	`0.00464972`
`ex8_4_4`	`0.0000`	`0.21245984`
`ex8_4_5`	`0.0100`	`0.00122530`
`ex8_4_6`	`0.0200`	`0.00110498`
`ex8_4_7`	`0.0100`	`29.04730674`
`ex8_4_8`	`0.0100`	`3.32184731`
`ex8_5_1`	`0.0100`	`-0.00000041`
`ex8_5_2`	`0.0100`	`-0.00000001`
`ex8_5_3`	`0.0100`	`0.00237175`
`ex8_5_4`	`0.0000`	`0.00000100`
`ex8_5_5`	`0.0000`	`-0.01075334`
`ex8_5_6`	`0.0000`	`0.00000099`
`ex8_6_1`	`0.3700`	`-26.62331977`
`ex8_6_2`	`0.1000`	`-23.04290080`
`ex9_1_1`	`0.0000`	`-13.00000000`
`ex9_1_10`	`0.0000`	`-3.25000000`
`ex9_1_2`	`0.0000`	`-16.00000000`
`ex9_1_5`	`0.0000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`-3.25000000`
`ex9_2_1`	`0.0000`	`17.00000000`
`ex9_2_2`	`0.0000`	`99.99988613`
`ex9_2_3`	`0.0000`	`5.00000000`
`ex9_2_4`	`0.0000`	`0.50000000`
`ex9_2_5`	`0.0000`	`9.00000000`
`ex9_2_6`	`0.0000`	`-1.00000000`
`ex9_2_7`	`0.0000`	`17.00000000`
`ex9_2_8`	`0.0000`	`1.50000000`
`gtm`	`0.0100`	`543.56509479`
`harker`	`0.0000`	`-986.51348399`
`haverly`	`0.0000`	`-400.00000000`
`hhfair`	`0.0100`	`-87.15903761`
`himmel11`	`0.0000`	`-30665.53867810`
`himmel16`	`0.0100`	`-0.67498144`
`house`	`0.0000`	`-4500.00000000`
`hydro`	`0.0100`	`4366944.15975814`
`korcge`	`0.0000`	`-339.21302800`
`launch`	`0.0000`	`2257.79755763`
`least`	`0.0100`	`14085.13984893`
`like`	`0.0200`	`1138.41056442`
`lnts50`	`0.0900`	`0.55466876`
`meanvar`	`0.0000`	`5.24339907`
`mhw4d`	`0.0100`	`27.87190522`
`minlphi`	`0.0000`	`582.23614204`
`otpop`	`0.0200`	`0.00000000`
`pindyck`	`0.0100`	`-1170.48628544`
`pollut`	`0.0100`	`-5353268.62874738`
`process`	`0.0000`	`-1161.33660154`
`prolog`	`0.0000`	`1.06218530`
`qp1`	`0.0700`	`0.00080932`
`qp2`	`0.0400`	`0.00080932`
`qp3`	`0.0100`	`0.00080932`
`qp4`	`0.0100`	`0.00080932`
`ramsey`	`0.0100`	`-2.48746864`
`rbrock`	`0.0000`	`0.00000000`
`sambal`	`0.0000`	`3.96822036`
`sample`	`0.0000`	`726.67935781`
`ship`	`0.0000`	`5.54091471`
`srcpm`	`0.0100`	`2109.78183275`
`st_bpaf1a`	`0.0000`	`-45.37971014`
`st_bpaf1b`	`0.0000`	`-42.96255760`
`st_bpk1`	`0.0000`	`-10.00000000`
`st_bpk2`	`0.0000`	`-10.00000000`
`st_bpv1`	`0.0000`	`10.00000000`
`st_bpv2`	`0.0000`	`0.00000000`
`st_bsj2`	`0.0000`	`1.00000000`
`st_bsj3`	`0.0000`	`-34843.05000000`
`st_bsj4`	`0.0000`	`-44347.05000000`
`st_cqpf`	`0.0000`	`-2.75000000`
`st_cqpjk1`	`0.0100`	`-12.44444222`
`st_cqpjk2`	`0.0000`	`-12.50000000`
`st_e01`	`0.0000`	`-4.00000000`
`st_e03`	`0.0100`	`-1161.33660236`
`st_e04`	`0.0000`	`5194.86624420`
`st_e05`	`0.0000`	`7049.24927248`
`st_e06`	`0.0100`	`0.00000000`
`st_e07`	`0.0000`	`-400.00000000`
`st_e09`	`0.0000`	`0.00000000`
`st_e10`	`0.0000`	`-16.73889318`
`st_e11`	`0.0000`	`189.31162969`
`st_e12`	`0.0000`	`0.00000000`
`st_e17`	`0.0000`	`376.29193233`
`st_e19`	`0.0100`	`10.35382907`
`st_e20`	`0.0000`	`-0.37461370`
`st_e21`	`0.0000`	`0.00000000`
`st_e22`	`0.0000`	`-68.00000000`
`st_e23`	`0.0000`	`-1.00000000`
`st_e24`	`0.0000`	`4.00000000`
`st_e25`	`0.0000`	`0.89019359`
`st_e26`	`0.0000`	`-185.77920000`
`st_e28`	`0.0000`	`-30665.53867810`
`st_e33`	`0.0000`	`-400.00000000`
`st_e34`	`0.0000`	`0.01561953`
`st_e37`	`0.0000`	`0.97913912`
`st_e39`	`0.0100`	`-0.00000105`
`st_e41`	`0.0000`	`641.82356232`
`st_e42`	`0.0100`	`18.78420000`
`st_fp1`	`0.0000`	`0.00000000`
`st_fp2`	`0.0000`	`-213.00000000`
`st_fp3`	`0.0000`	`-10.10937500`
`st_fp4`	`0.0000`	`-11.00000000`
`st_fp5`	`0.0000`	`-268.01463154`
`st_fp6`	`0.0000`	`-16.22222222`
`st_fp7a`	`0.0100`	`1.47958635`
`st_fp7b`	`0.0000`	`-397.95542807`
`st_fp7c`	`0.0100`	`-3959.10856136`
`st_fp7d`	`0.0100`	`6.55405444`
`st_fp7e`	`0.0000`	`12.75070976`
`st_fp8`	`0.0000`	`29463.00000000`
`st_glmp_fp1`	`0.0000`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`7.62750000`
`st_glmp_fp3`	`0.0000`	`0.00000000`
`st_glmp_kk90`	`0.0000`	`3.00000000`
`st_glmp_kk92`	`0.0000`	`0.00000000`
`st_glmp_kky`	`0.0000`	`1.50000000`
`st_glmp_ss1`	`0.0000`	`-24.57142857`
`st_glmp_ss2`	`0.0000`	`8.25000000`
`st_ht`	`0.0000`	`0.00000000`
`st_iqpbk1`	`0.0000`	`-621.48782500`
`st_iqpbk2`	`0.0000`	`-1195.22565000`
`st_jcbpaf2`	`0.0100`	`-794.85591398`
`st_jcbpafex`	`0.0000`	`-1.00000000`
`st_kr`	`0.0000`	`-68.00000000`
`st_m1`	`0.0000`	`-461356.93887879`
`st_m2`	`0.0100`	`-856648.81868507`
`st_pan1`	`0.0000`	`0.00000000`
`st_pan2`	`0.0000`	`0.00000000`
`st_ph1`	`0.0000`	`0.00000000`
`st_ph10`	`0.0100`	`-10.50000000`
`st_ph11`	`0.0000`	`0.00000000`
`st_ph12`	`0.0000`	`0.00000000`
`st_ph13`	`0.0000`	`0.00000000`
`st_ph14`	`0.0000`	`-215.12500000`
`st_ph15`	`0.0000`	`0.00000000`
`st_ph2`	`0.0000`	`0.00000000`
`st_ph20`	`0.0000`	`-158.00000000`
`st_ph3`	`0.0000`	`0.00000000`
`st_phex`	`0.0000`	`-68.00000000`
`st_qpc-m0`	`0.0000`	`0.00000000`
`st_qpc-m1`	`0.0000`	`-473.77777778`
`st_qpc-m3a`	`0.0000`	`0.00000000`
`st_qpc-m3b`	`0.0100`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.00000000`
`st_qpc-m4`	`0.0000`	`0.00000000`
`st_qpk1`	`0.0000`	`0.00000000`
`st_qpk2`	`0.0000`	`0.00000000`
`st_qpk3`	`0.0000`	`0.00000000`
`st_rv1`	`0.0000`	`-59.90434506`
`st_rv2`	`0.0000`	`-64.48069510`
`st_rv3`	`0.0000`	`-35.76067064`
`st_rv7`	`0.0000`	`-118.15121322`
`st_rv8`	`0.0000`	`-132.66162896`
`st_rv9`	`0.0000`	`-120.11640294`
`st_z`	`0.0100`	`0.00000000`
`wall`	`0.0000`	`1.00000466`
`weapons`	`0.0100`	`-1735.56957986`
`worst`	`0.0000`	`20762609.21087110`

CONOPT: feasible: Back to top

Modelname	Time (CONOPT)	Obj (CONOPT)
`ex8_2_1`	`0.9600`	`-340425017.14043500`

CONOPT: infeasible: Back to top

Modelname	Time (CONOPT)	Status (CONOPT)
`ex5_3_2`	`--`	`mstat( 5) sstat( 1)`
`ex5_3_3`	`--`	`mstat( 5) sstat( 1)`
`ex5_4_3`	`--`	`mstat( 5) sstat( 1)`
`ex5_4_4`	`--`	`mstat( 5) sstat( 1)`
`ex7_3_6`	`--`	`mstat( 5) sstat( 1)`
`ex8_1_7`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_10`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_11`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_14`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_4`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_5`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_7`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_8`	`--`	`mstat( 5) sstat( 1)`
`ex9_1_4`	`--`	`mstat( 5) sstat( 1)`
`immun`	`--`	`mstat( 4) sstat( 1)`
`st_e02`	`--`	`mstat( 5) sstat( 1)`
`st_e08`	`--`	`mstat( 5) sstat( 1)`
`st_e16`	`--`	`mstat( 5) sstat( 1)`
`st_e18`	`--`	`mstat( 5) sstat( 1)`
`st_e30`	`--`	`mstat( 5) sstat( 1)`
`st_robot`	`--`	`mstat( 5) sstat( 1)`

MINOS: optimal: Back to top

Modelname	Time (MINOS)	Obj (MINOS)
`qp5`	`0.0100`	`0.43145590`

MINOS: locally optimal: Back to top

Modelname	Time (MINOS)	Obj (MINOS)
`abel`	`0.0000`	`225.19458319`
`alkyl`	`0.0000`	`-1.76499965`
`bayes2_10`	`0.0800`	`415.55224592`
`bayes2_20`	`0.0700`	`733.58395467`
`bayes2_30`	`0.1700`	`0.25120064`
`bayes2_50`	`0.0800`	`0.52020841`
`bearing`	`0.0000`	`1.95179295`
`btest14`	`0.0100`	`31.97751489`
`camcge`	`0.0200`	`-191.73462424`
`chain100`	`0.3000`	`5.06978462`
`chain25`	`0.1000`	`5.07226149`
`chain50`	`0.1000`	`5.07226149`
`chakra`	`0.0000`	`-179.13355786`
`chance`	`0.0100`	`29.89437816`
`chem`	`0.0000`	`-47.70651483`
`chenery`	`0.0000`	`-1058.91989148`
`circle`	`0.0100`	`4.57424779`
`demo7`	`0.0400`	`-1589042.38618937`
`dispatch`	`0.0000`	`3155.28792686`
`elec25`	`1.9500`	`243.81276030`
`elec50`	`6.2200`	`1055.18231473`
`etamac`	`0.0200`	`-15.29467564`
`ex14_1_1`	`0.0100`	`0.00000000`
`ex14_1_2`	`0.0000`	`0.00000000`
`ex14_1_3`	`0.0000`	`0.00000000`
`ex14_1_4`	`0.0100`	`0.00000000`
`ex14_1_5`	`0.0000`	`0.00000000`
`ex14_1_6`	`0.0000`	`1.00000000`
`ex14_1_7`	`0.0000`	`7.04274947`
`ex14_1_8`	`0.0000`	`0.04141589`
`ex14_1_9`	`0.0000`	`0.00000000`
`ex14_2_1`	`0.0000`	`0.00000000`
`ex14_2_2`	`0.0000`	`0.00000000`
`ex14_2_3`	`0.0000`	`0.00000000`
`ex14_2_4`	`0.0000`	`0.00000000`
`ex14_2_5`	`0.0000`	`0.00000000`
`ex14_2_6`	`0.0100`	`0.00000000`
`ex14_2_7`	`0.0000`	`0.00000000`
`ex14_2_8`	`0.0000`	`0.00000000`
`ex14_2_9`	`0.0000`	`0.00000000`
`ex2_1_1`	`0.0000`	`-17.00000000`
`ex2_1_10`	`0.0000`	`133718.84489665`
`ex2_1_2`	`0.0000`	`-213.00000000`
`ex2_1_3`	`0.0000`	`-15.00000000`
`ex2_1_4`	`0.0000`	`-11.00000000`
`ex2_1_5`	`0.0000`	`-268.01463154`
`ex2_1_6`	`0.0000`	`-39.00000000`
`ex2_1_7`	`0.0000`	`-4150.41013393`
`ex2_1_8`	`0.0000`	`25287.00000000`
`ex2_1_9`	`0.0000`	`-0.37500000`
`ex3_1_1`	`0.0000`	`7049.24802053`
`ex3_1_2`	`0.0000`	`-30665.53867179`
`ex3_1_3`	`0.0000`	`-310.00000000`
`ex3_1_4`	`0.0000`	`-4.00000000`
`ex4_1_1`	`0.0000`	`-7.48731236`
`ex4_1_2`	`0.0000`	`-663.50009661`
`ex4_1_3`	`0.0000`	`-443.67170474`
`ex4_1_4`	`0.0100`	`0.00000000`
`ex4_1_5`	`0.0000`	`0.00000000`
`ex4_1_6`	`0.0000`	`7.00000000`
`ex4_1_7`	`0.0000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`-16.73889318`
`ex4_1_9`	`0.0000`	`-5.50801327`
`ex5_2_2_case1`	`0.0000`	`0.00000000`
`ex5_2_2_case2`	`0.0000`	`0.00000000`
`ex5_2_2_case3`	`0.0000`	`0.00000000`
`ex5_2_4`	`0.0000`	`-100.00000000`
`ex5_2_5`	`0.0100`	`-1900.00000000`
`ex5_3_2`	`0.0000`	`1.86415946`
`ex5_4_2`	`0.0100`	`7512.23014450`
`ex5_4_3`	`0.0000`	`5937.43734771`
`ex5_4_4`	`0.0100`	`10077.77540384`
`ex6_1_1`	`0.0000`	`-0.02019831`
`ex6_1_2`	`0.0000`	`-0.03246375`
`ex6_1_3`	`0.0000`	`-0.35249780`
`ex6_1_4`	`0.0000`	`-0.29454129`
`ex6_2_11`	`0.0000`	`-0.00000267`
`ex6_2_12`	`0.0000`	`0.28919475`
`ex6_2_14`	`0.0100`	`-0.69535793`
`ex6_2_5`	`0.0000`	`-70.75207783`
`ex6_2_6`	`0.0000`	`0.00000071`
`ex6_2_7`	`0.0000`	`-0.16084762`
`ex6_2_8`	`0.0000`	`-0.02700635`
`ex6_2_9`	`0.0000`	`-0.03406618`
`ex7_2_1`	`0.0100`	`1227.22606413`
`ex7_2_2`	`0.0200`	`-0.38881144`
`ex7_2_3`	`0.0000`	`7049.21807243`
`ex7_2_4`	`0.0000`	`4.20285304`
`ex7_3_1`	`0.0000`	`2.00000000`
`ex7_3_2`	`0.0000`	`1.08986397`
`ex7_3_3`	`0.0000`	`1.14477980`
`ex7_3_4`	`0.0000`	`10.00000000`
`ex8_1_1`	`0.0000`	`-2.02180678`
`ex8_1_2`	`0.0100`	`2.80345848`
`ex8_1_3`	`0.0000`	`30.00000000`
`ex8_1_4`	`0.0000`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.00000000`
`ex8_1_6`	`0.0000`	`-5.06543974`
`ex8_1_7`	`0.0100`	`0.02931083`
`ex8_1_8`	`0.0100`	`-0.38881144`
`ex8_3_1`	`0.5000`	`-0.81668477`
`ex8_3_10`	`0.0800`	`-0.03596508`
`ex8_3_12`	`0.0000`	`0.00000000`
`ex8_3_13`	`0.0300`	`0.00000000`
`ex8_3_2`	`0.1300`	`-0.41233019`
`ex8_3_3`	`0.1600`	`-0.41660308`
`ex8_3_4`	`0.1600`	`-3.57998238`
`ex8_3_5`	`0.1600`	`-0.06911967`
`ex8_3_6`	`0.2000`	`-0.50000000`
`ex8_3_7`	`0.1900`	`-1.23261919`
`ex8_3_9`	`0.1000`	`-0.76300193`
`ex8_4_1`	`0.0100`	`0.61857276`
`ex8_4_2`	`0.0100`	`0.48515249`
`ex8_4_3`	`0.0100`	`0.00464972`
`ex8_4_4`	`0.0000`	`0.21245984`
`ex8_4_5`	`0.0100`	`0.00030749`
`ex8_4_6`	`0.0100`	`0.00110498`
`ex8_4_7`	`0.0000`	`29.04730672`
`ex8_6_1`	`0.0700`	`-26.49049870`
`ex8_6_2`	`0.0700`	`-31.28492061`
`ex9_1_1`	`0.0000`	`-13.00000000`
`ex9_1_10`	`0.0100`	`-3.25000000`
`ex9_1_2`	`0.0000`	`-3.00000000`
`ex9_1_4`	`0.0000`	`-37.00000000`
`ex9_1_5`	`0.0000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`-3.25000000`
`ex9_2_1`	`0.0000`	`17.00000000`
`ex9_2_2`	`0.0100`	`99.99999205`
`ex9_2_3`	`0.0100`	`0.00000000`
`ex9_2_4`	`0.0000`	`0.50000000`
`ex9_2_5`	`0.0000`	`5.00000000`
`ex9_2_6`	`0.0000`	`-1.00000000`
`ex9_2_7`	`0.0000`	`17.00000000`
`ex9_2_8`	`0.0100`	`1.50000000`
`gtm`	`0.0100`	`543.56509479`
`harker`	`0.0000`	`-986.51348399`
`haverly`	`0.0000`	`-400.00000000`
`hhfair`	`0.0100`	`-87.15903759`
`himmel11`	`0.0000`	`-30665.53867178`
`himmel16`	`0.0100`	`-0.67498144`
`house`	`0.0000`	`-4500.00000000`
`hydro`	`0.0000`	`4366944.15975813`
`immun`	`0.0000`	`0.00000000`
`korcge`	`0.0100`	`-339.21302800`
`launch`	`0.0100`	`2257.79755763`
`least`	`0.0000`	`14085.13984893`
`like`	`0.0100`	`1138.41056442`
`lnts50`	`0.1000`	`0.55466876`
`meanvar`	`0.0100`	`5.24339907`
`mhw4d`	`0.0000`	`27.87190522`
`minlphi`	`0.0000`	`582.23614204`
`otpop`	`0.0100`	`0.00000000`
`pindyck`	`0.0000`	`-1170.48628544`
`pollut`	`0.0000`	`-5353268.62874738`
`process`	`0.0000`	`-1161.33660242`
`prolog`	`0.0100`	`1.06218530`
`qp1`	`0.0600`	`0.00080932`
`qp2`	`0.0300`	`0.00080932`
`qp3`	`0.0200`	`0.00080932`
`qp4`	`0.0000`	`0.00080932`
`ramsey`	`0.0000`	`-2.48746864`
`rbrock`	`0.0000`	`0.00000000`
`sambal`	`0.0000`	`3.96822036`
`sample`	`0.0000`	`726.66841727`
`ship`	`0.0000`	`5.54091471`
`srcpm`	`0.0000`	`2109.78183275`
`st_bpaf1a`	`0.0100`	`-45.37971014`
`st_bpaf1b`	`0.0000`	`-42.96255760`
`st_bpk1`	`0.0000`	`-10.00000000`
`st_bpk2`	`0.0000`	`-10.00000000`
`st_bpv1`	`0.0000`	`10.00000000`
`st_bpv2`	`0.0000`	`0.00000000`
`st_bsj2`	`0.0000`	`1.00000000`
`st_bsj3`	`0.0000`	`-34843.05000000`
`st_bsj4`	`0.0000`	`-55379.66111111`
`st_cqpf`	`0.0000`	`-2.75000000`
`st_cqpjk1`	`0.0100`	`-12.44444222`
`st_cqpjk2`	`0.0000`	`-12.50000000`
`st_e01`	`0.0000`	`-6.66666667`
`st_e03`	`0.0100`	`-1161.33660236`
`st_e04`	`0.0000`	`5194.86624420`
`st_e05`	`0.1400`	`7049.24927242`
`st_e06`	`0.0000`	`0.00000000`
`st_e07`	`0.0000`	`-400.00000000`
`st_e09`	`0.0000`	`0.00000000`
`st_e10`	`0.0000`	`-16.73889318`
`st_e11`	`0.0000`	`286.94277335`
`st_e17`	`0.0000`	`376.29193233`
`st_e18`	`0.0100`	`-2.82842712`
`st_e19`	`0.0000`	`10.35382907`
`st_e20`	`0.0000`	`-0.38881144`
`st_e22`	`0.0000`	`-80.00000000`
`st_e23`	`0.0000`	`-1.08333333`
`st_e24`	`0.0000`	`4.00000000`
`st_e25`	`0.0100`	`0.89019359`
`st_e26`	`0.0000`	`-185.77920000`
`st_e28`	`0.0100`	`-30665.53867178`
`st_e33`	`0.0000`	`-400.00000000`
`st_e34`	`0.0000`	`0.01561953`
`st_e37`	`0.0000`	`0.01583938`
`st_e39`	`0.0000`	`-5.06543974`
`st_e41`	`0.0000`	`641.82356228`
`st_e42`	`0.0000`	`18.78420000`
`st_fp1`	`0.0000`	`0.00000000`
`st_fp2`	`0.0000`	`-213.00000000`
`st_fp3`	`0.0000`	`-10.10937500`
`st_fp4`	`0.0000`	`-11.00000000`
`st_fp5`	`0.0000`	`-268.01463154`
`st_fp6`	`0.0000`	`-18.22222222`
`st_fp7a`	`0.0100`	`1.47958635`
`st_fp7b`	`0.0000`	`-470.52200965`
`st_fp7c`	`0.0100`	`-5410.44019294`
`st_fp7d`	`0.0100`	`6.55405444`
`st_fp7e`	`0.0000`	`12.75070976`
`st_fp8`	`0.0100`	`20560.00000000`
`st_glmp_fp1`	`0.0000`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`7.62750000`
`st_glmp_fp3`	`0.0100`	`0.00000000`
`st_glmp_kk90`	`0.0100`	`4.00000000`
`st_glmp_kk92`	`0.0000`	`0.00000000`
`st_glmp_kky`	`0.0000`	`1.50000000`
`st_glmp_ss1`	`0.0000`	`-24.57142857`
`st_glmp_ss2`	`0.0000`	`8.25000000`
`st_ht`	`0.0000`	`0.00000000`
`st_iqpbk1`	`0.0000`	`-621.48782500`
`st_iqpbk2`	`0.0100`	`-1195.22565000`
`st_jcbpaf2`	`0.0000`	`-388.34910774`
`st_jcbpafex`	`0.0000`	`-1.08333333`
`st_kr`	`0.0000`	`-80.00000000`
`st_m1`	`0.0000`	`-461356.93887879`
`st_m2`	`0.0100`	`-856648.81868507`
`st_pan1`	`0.0000`	`0.00000000`
`st_pan2`	`0.0000`	`0.00000000`
`st_ph1`	`0.0000`	`0.00000000`
`st_ph10`	`0.0000`	`-10.50000000`
`st_ph11`	`0.0000`	`0.00000000`
`st_ph12`	`0.0000`	`0.00000000`
`st_ph13`	`0.0000`	`0.00000000`
`st_ph14`	`0.0000`	`-215.12500000`
`st_ph15`	`0.0000`	`0.00000000`
`st_ph2`	`0.0000`	`0.00000000`
`st_ph20`	`0.0100`	`-158.00000000`
`st_ph3`	`0.0000`	`0.00000000`
`st_phex`	`0.0000`	`-80.00000000`
`st_qpc-m0`	`0.0000`	`0.00000000`
`st_qpc-m1`	`0.0000`	`-473.77777778`
`st_qpc-m3a`	`0.0000`	`0.00000000`
`st_qpc-m3b`	`0.0000`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.00000000`
`st_qpc-m4`	`0.0100`	`0.00000000`
`st_qpk1`	`0.0000`	`0.00000000`
`st_qpk2`	`0.0100`	`0.00000000`
`st_qpk3`	`0.0000`	`0.00000000`
`st_rv1`	`0.0100`	`-59.90434506`
`st_rv2`	`0.0000`	`-61.56223652`
`st_rv3`	`0.0100`	`-35.76067064`
`st_rv7`	`0.0000`	`-118.15121322`
`st_rv8`	`0.0100`	`-132.66162896`
`st_rv9`	`0.0000`	`-114.66276537`
`st_z`	`0.0000`	`0.00000000`
`wall`	`0.0000`	`1.00000466`
`weapons`	`0.0100`	`-1735.56957986`
`worst`	`0.0000`	`20762609.21087110`

MINOS: feasible: Back to top

Modelname	Time (MINOS)	Obj (MINOS)
`elec100`	`30.0300`	`3673.86874227`
`ex6_2_10`	`0.0100`	`-3.05122548`
`ex6_2_13`	`0.0000`	`-0.21020929`
`ex8_2_1`	`0.0000`	`0.00010520`
`ex8_2_4`	`4.4900`	`0.00001171`
`ex8_3_14`	`0.0100`	`-2.08041015`
`ex8_4_8`	`0.0000`	`171.62156319`
`ex8_5_1`	`0.0000`	`0.82038073`
`ex8_5_2`	`0.0000`	`-3.65453824`
`ex8_5_3`	`0.0000`	`-5.86102647`
`ex8_5_4`	`0.0000`	`-0.17795537`
`ex8_5_5`	`0.0000`	`0.64175744`
`ex8_5_6`	`0.0100`	`4.49350171`
`st_e12`	`0.0000`	`0.00000000`
`st_e21`	`0.0000`	`0.00000000`

MINOS: infeasible: Back to top

Modelname	Time (MINOS)	Status (MINOS)
`camshape100`	`--`	`mstat( 5) sstat( 1)`
`ex5_3_3`	`--`	`mstat( 5) sstat( 1)`
`ex7_3_5`	`--`	`mstat( 5) sstat( 1)`
`ex7_3_6`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_11`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_8`	`--`	`mstat( 5) sstat( 1)`
`st_e02`	`--`	`mstat( 5) sstat( 1)`
`st_e08`	`--`	`mstat( 5) sstat( 1)`
`st_e16`	`--`	`mstat( 5) sstat( 1)`
`st_e30`	`--`	`mstat( 5) sstat( 1)`
`st_robot`	`--`	`mstat( 5) sstat( 1)`