Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 06/28/07 20:57:37

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 KNITRO 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 :	`1-globallib.conopt-1.pvr`
Tracefile 2 :	`3-globallib.knitro-1.pvr`
Solvers used :	`CONOPT`
	`KNITRO`
Modeltype(s)	`NLP`

	KNITRO: optimal	KNITRO: locally optimal	KNITRO: feasible	KNITRO: infeasible	KNITRO: unbounded	KNITRO: fail	KNITRO: no data	total CONOPT
CONOPT: optimal	`1`	`1`	-	-	-	-	-	`2`
CONOPT: locally optimal	-	`316`	`3`	-	-	`17`	`2`	`338`
CONOPT: feasible	-	`3`	-	-	-	-	-	`3`
CONOPT: infeasible	-	`14`	-	`1`	-	`6`	-	`21`
CONOPT: unbounded	-	`2`	-	-	-	`3`	-	`5`
CONOPT: fail	-	`3`	-	-	-	-	`2`	`5`
CONOPT: no data	-	`1`	-	-	-	`1`	-	`2`
total KNITRO	`1`	`340`	`3`	`1`	`-`	`27`	`4`	`376`

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 -- KNITRO: optimal Back to top

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Obj (CONOPT)	Obj (KNITRO)
`qp5`	`0.0200`	`0.0300`	`---`	`0.43145590`	`0.43145670`

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

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Obj (CONOPT)	Obj (KNITRO)
`nemhaus`	`0.0000`	`0.0100`	`---`	`31.00000000`	`31.00000000`

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

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Obj (CONOPT)	Obj (KNITRO)
`abel`	`0.0100`	`0.0100`	`---`	`225.19460000`	`225.19460000`
`alkyl`	`0.0100`	`0.0000`	`---`	`-1.76500000`	`-1.76500000`
`arki0001`	`0.3000`	`0.0900`	`3.333`	`40.71286000`	`40.71302000`
`arki0002`	`1.1900`	`0.1700`	`7.000`	`1.06951000`	`1.87252800`
`arki0015`	`0.6200`	`4.2900`	`0.145`	`-271.73570000`	`-263.42940000`
`arki0016`	`823.4300`	`7.6600`	`107.497`	`867.97320000`	`867.97320000`
`arki0017`	`62.8400`	`3187.1000`	`0.020`	`-121.83310000`	`-121.83290000`
`arki0019`	`0.2800`	`0.1300`	`2.154`	`-17.54533000`	`-17.54533000`
`arki0020`	`2.1800`	`0.3400`	`6.412`	`-41.07495000`	`-41.07495000`
`arki0021`	`62.7500`	`1.5400`	`40.747`	`-72.58210000`	`-72.58209000`
`arki0022`	`81.0200`	`2.5400`	`31.898`	`-87.09909000`	`-87.09908000`
`arki0023`	`5.5500`	`10.2200`	`0.543`	`-153.66010000`	`-153.66000000`
`bearing`	`0.0100`	`0.1600`	`0.063`	`1.95173600`	`1.95173400`
`camcge`	`0.0100`	`0.0300`	`---`	`-191.73460000`	`-191.73460000`
`camshape100`	`0.0200`	`0.0600`	`0.333`	`-4.28414700`	`-4.28414400`
`camshape200`	`0.0400`	`0.1200`	`0.333`	`-4.27850000`	`-4.27843600`
`camshape400`	`0.1100`	`0.2300`	`0.478`	`-4.27568800`	`-4.27556000`
`camshape800`	`0.2800`	`0.5600`	`0.500`	`-4.27427500`	`-4.27401500`
`catmix100`	`0.0900`	`0.0300`	`3.000`	`-0.04806931`	`-0.04805395`
`catmix200`	`0.1600`	`0.0600`	`2.667`	`-0.04805861`	`-0.04802983`
`catmix400`	`0.4100`	`0.1200`	`3.417`	`-0.04805620`	`-0.04800083`
`catmix800`	`0.4600`	`0.2100`	`2.190`	`-0.04805515`	`-0.04795030`
`chain100`	`0.0500`	`0.0100`	`5.000`	`5.06978500`	`5.06978400`
`chain200`	`0.0800`	`0.0400`	`2.000`	`5.06891700`	`5.06891700`
`chain25`	`0.0200`	`0.0200`	`---`	`5.07226100`	`5.07226100`
`chain400`	`0.3200`	`0.0800`	`4.000`	`5.06862200`	`5.06862200`
`chain50`	`0.0200`	`0.0200`	`---`	`5.07226100`	`5.07226100`
`chakra`	`0.0000`	`0.0100`	`---`	`-179.13360000`	`-179.13360000`
`chance`	`0.0000`	`0.0100`	`---`	`29.89438000`	`29.89438000`
`chem`	`0.0100`	`0.0000`	`---`	`-47.70651000`	`-47.70651000`
`chenery`	`0.0000`	`0.0100`	`---`	`-1058.92000000`	`-1058.92000000`
`circle`	`0.0000`	`0.0100`	`---`	`4.57424600`	`4.57424800`
`demo7`	`0.0100`	`0.9500`	`0.011`	`-1589042.00000000`	`-1589042.00000000`
`dispatch`	`0.0000`	`0.0100`	`---`	`3155.28800000`	`3155.28800000`
`elec100`	`1.6000`	`958.6100`	`0.002`	`4448.35100000`	`4448.35100000`
`elec25`	`0.0600`	`0.6500`	`0.092`	`243.81280000`	`243.81280000`
`elec50`	`0.2700`	`9.0900`	`0.030`	`1055.18200000`	`1055.18200000`
`etamac`	`0.0200`	`0.0100`	`---`	`-15.29468000`	`-15.29468000`
`ex14_1_1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000008`
`ex14_1_2`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000256`
`ex14_1_3`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000026`
`ex14_1_4`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000008`
`ex14_1_5`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000004`
`ex14_1_6`	`0.0100`	`0.0100`	`---`	`1.00000000`	`1.00000000`
`ex14_1_7`	`0.0000`	`0.0300`	`---`	`7.04274900`	`0.13499040`
`ex14_1_8`	`0.0100`	`0.0000`	`---`	`0.04141589`	`0.01155224`
`ex14_1_9`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000004`
`ex14_2_1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000014`
`ex14_2_2`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000050`
`ex14_2_3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000018`
`ex14_2_4`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000014`
`ex14_2_5`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000010`
`ex14_2_6`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000014`
`ex14_2_7`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000018`
`ex14_2_8`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000010`
`ex14_2_9`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000050`
`ex2_1_10`	`0.0000`	`0.0200`	`---`	`49318.02000000`	`49318.02000000`
`ex2_1_1`	`0.0000`	`0.0000`	`---`	`-17.00000000`	`-17.00000000`
`ex2_1_2`	`0.0000`	`0.0000`	`---`	`-213.00000000`	`-213.00000000`
`ex2_1_3`	`0.0000`	`0.0000`	`---`	`-15.00000000`	`-15.00000000`
`ex2_1_4`	`0.0100`	`0.0000`	`---`	`-11.00000000`	`-11.00000000`
`ex2_1_5`	`0.0000`	`0.0000`	`---`	`-268.01460000`	`-268.01460000`
`ex2_1_6`	`0.0100`	`0.0000`	`---`	`-39.00000000`	`-29.40000000`
`ex2_1_7`	`0.0000`	`0.0100`	`---`	`-4150.41000000`	`-4150.41000000`
`ex2_1_8`	`0.0000`	`0.0000`	`---`	`25287.00000000`	`15639.00000000`
`ex2_1_9`	`0.0000`	`0.0000`	`---`	`-0.37500000`	`-0.37499760`
`ex3_1_1`	`0.0100`	`0.0000`	`---`	`7049.24800000`	`7049.24800000`
`ex3_1_2`	`0.0000`	`0.0000`	`---`	`-30665.54000000`	`-30665.54000000`
`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`	`0.0200`	`0.0100`	`---`	`-7.48731200`	`-0.51997810`
`ex4_1_2`	`0.0200`	`0.0000`	`---`	`-663.50010000`	`-663.50010000`
`ex4_1_3`	`0.0000`	`0.0000`	`---`	`-443.67170000`	`-443.67170000`
`ex4_1_4`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex4_1_5`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex4_1_6`	`0.0000`	`0.0000`	`---`	`7.00000000`	`7.00000000`
`ex4_1_7`	`0.0000`	`0.0000`	`---`	`-7.50000000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`0.0100`	`---`	`-16.73889000`	`-16.73889000`
`ex4_1_9`	`0.0000`	`0.0000`	`---`	`-5.50801300`	`-5.50801300`
`ex5_2_2_case1`	`0.0100`	`0.0000`	`---`	`0.00000000`	`-400.00000000`
`ex5_2_2_case2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-400.00000000`
`ex5_2_2_case3`	`0.0100`	`0.0000`	`---`	`0.00000000`	`-750.00000000`
`ex5_2_4`	`0.0100`	`0.0000`	`---`	`0.00000000`	`-450.00000000`
`ex5_4_2`	`0.0100`	`0.0100`	`---`	`7512.23000000`	`7512.23000000`
`ex6_1_1`	`0.0000`	`0.0000`	`---`	`-0.02019831`	`-0.01757754`
`ex6_1_2`	`0.0000`	`0.0000`	`---`	`-0.03246375`	`0.00000246`
`ex6_1_3`	`0.0100`	`0.0000`	`---`	`-0.35249780`	`-0.32434890`
`ex6_1_4`	`0.0100`	`0.0000`	`---`	`-0.29454130`	`-0.29454130`
`ex6_2_10`	`0.0000`	`0.0100`	`---`	`-3.05197600`	`-3.05197600`
`ex6_2_11`	`0.0100`	`0.0000`	`---`	`-0.00000267`	`-0.00000267`
`ex6_2_12`	`0.0100`	`0.0000`	`---`	`0.28919470`	`0.28919470`
`ex6_2_13`	`0.0100`	`0.0100`	`---`	`-0.21620940`	`-0.21620940`
`ex6_2_5`	`0.0000`	`0.0100`	`---`	`-70.75208000`	`-70.55811000`
`ex6_2_6`	`0.0100`	`0.0100`	`---`	`0.00000071`	`0.00000071`
`ex6_2_7`	`0.0000`	`0.0200`	`---`	`-0.16084760`	`-0.13839030`
`ex6_2_8`	`0.0000`	`0.0100`	`---`	`-0.02700635`	`-0.00000144`
`ex6_2_9`	`0.0000`	`0.0000`	`---`	`-0.03406618`	`-0.03406618`
`ex7_2_1`	`0.0100`	`0.0200`	`---`	`1227.22600000`	`1227.22600000`
`ex7_2_2`	`0.0100`	`0.0100`	`---`	`-0.38881140`	`-0.38881100`
`ex7_2_3`	`0.0100`	`0.0000`	`---`	`7049.24800000`	`7049.24900000`
`ex7_2_4`	`0.0100`	`0.0100`	`---`	`3.91801000`	`3.91801000`
`ex7_3_1`	`0.0000`	`0.0000`	`---`	`0.34173960`	`0.34174110`
`ex7_3_2`	`0.0000`	`0.0000`	`---`	`1.08986400`	`1.08986400`
`ex7_3_3`	`0.0000`	`0.0000`	`---`	`1.14478000`	`1.14478000`
`ex7_3_4`	`0.0000`	`0.0100`	`---`	`10.00000000`	`10.00000000`
`ex7_3_5`	`0.0100`	`0.0400`	`---`	`1.20689700`	`1.20690300`
`ex8_1_1`	`0.0000`	`0.0000`	`---`	`-2.02180700`	`-2.02180700`
`ex8_1_2`	`0.0000`	`0.0100`	`---`	`2.80345800`	`-0.79697990`
`ex8_1_3`	`0.0000`	`0.0000`	`---`	`30.00000000`	`3.00000000`
`ex8_1_4`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex8_1_6`	`0.0000`	`0.0000`	`---`	`-5.06544000`	`-5.06544000`
`ex8_1_8`	`0.0000`	`0.0000`	`---`	`-0.38881140`	`-0.38881100`
`ex8_3_11`	`0.1300`	`2.1700`	`0.060`	`-0.73173420`	`-0.79596060`
`ex8_3_12`	`0.0200`	`0.6800`	`0.029`	`0.00000000`	`-0.99379290`
`ex8_3_13`	`0.1200`	`0.0600`	`2.000`	`0.00000000`	`0.00001146`
`ex8_3_1`	`0.1800`	`1.8500`	`0.097`	`-0.81412100`	`-0.81709020`
`ex8_3_2`	`0.0500`	`0.0400`	`1.250`	`-0.41233020`	`-0.33132740`
`ex8_3_3`	`0.0500`	`0.0600`	`0.833`	`-0.41660310`	`-0.33303540`
`ex8_3_6`	`0.0200`	`0.0500`	`0.400`	`-0.50000000`	`-0.50000000`
`ex8_3_9`	`0.0200`	`3.7400`	`0.005`	`-0.76300210`	`-0.74161980`
`ex8_4_1`	`0.0100`	`0.0000`	`---`	`0.61857220`	`0.61857280`
`ex8_4_2`	`0.0000`	`0.0100`	`---`	`0.48515250`	`0.48515250`
`ex8_4_3`	`0.0000`	`0.0200`	`---`	`0.00464972`	`0.00464970`
`ex8_4_4`	`0.0100`	`0.0000`	`---`	`0.21245990`	`0.21245970`
`ex8_4_5`	`0.0000`	`0.0000`	`---`	`0.00122530`	`0.00122562`
`ex8_4_6`	`0.0200`	`0.0100`	`---`	`0.00110498`	`0.00110498`
`ex8_4_7`	`0.0100`	`0.0100`	`---`	`29.04732000`	`29.04731000`
`ex8_4_8`	`0.0000`	`0.3800`	`0.000`	`3.32187800`	`3.32184700`
`ex8_5_1`	`0.0000`	`0.0000`	`---`	`0.00636086`	`-0.00000041`
`ex8_5_2`	`0.0100`	`0.0100`	`---`	`-0.00000001`	`-0.00000001`
`ex8_5_3`	`0.0100`	`0.0000`	`---`	`0.00237175`	`0.00004093`
`ex8_5_4`	`0.0000`	`0.0000`	`---`	`-0.00042515`	`-0.00042515`
`ex8_5_5`	`0.0100`	`0.0000`	`---`	`-0.01075334`	`0.00000065`
`ex8_5_6`	`0.0100`	`0.0100`	`---`	`0.00000099`	`0.00000099`
`ex8_6_1`	`0.0600`	`0.1100`	`0.545`	`-28.42253000`	`-26.36228000`
`ex8_6_2`	`0.0800`	`0.0900`	`0.889`	`-31.88863000`	`-31.03664000`
`ex9_1_10`	`0.0000`	`0.0200`	`---`	`-3.25000000`	`-3.24999900`
`ex9_1_1`	`0.0100`	`0.0000`	`---`	`-13.00000000`	`-13.00000000`
`ex9_1_2`	`0.0100`	`0.0100`	`---`	`-16.00000000`	`-16.00000000`
`ex9_1_4`	`0.0000`	`0.0100`	`---`	`-37.00000000`	`-37.00000000`
`ex9_1_5`	`0.0100`	`0.0100`	`---`	`-1.00000000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`0.0000`	`---`	`-3.25000000`	`-3.24999900`
`ex9_2_1`	`0.0100`	`0.0100`	`---`	`17.00000000`	`25.00000000`
`ex9_2_2`	`0.0000`	`0.1600`	`0.000`	`99.99425000`	`100.00000000`
`ex9_2_4`	`0.0000`	`0.0200`	`---`	`0.50000000`	`0.50000000`
`ex9_2_5`	`0.0000`	`0.0400`	`---`	`9.00000000`	`9.00000000`
`ex9_2_6`	`0.0000`	`0.0200`	`---`	`-1.00000000`	`-0.99999990`
`ex9_2_7`	`0.0000`	`0.0100`	`---`	`17.00000000`	`25.00000000`
`ex9_2_8`	`0.0000`	`0.0100`	`---`	`1.50000000`	`1.51928700`
`flowchan100`	`0.0600`	`0.0800`	`0.750`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1400`	`0.1600`	`0.875`	`0.00000000`	`0.00000000`
`flowchan400`	`0.5200`	`0.3800`	`1.368`	`0.00000000`	`0.00000000`
`flowchan50`	`0.0400`	`0.0500`	`0.800`	`0.00000000`	`0.00000000`
`ganges`	`0.0100`	`0.0600`	`0.167`	`-6395.54400000`	`-6395.54400000`
`gangesx`	`0.0200`	`0.0500`	`0.400`	`-6395.54400000`	`-6395.54400000`
`gasoil100`	`0.2800`	`0.2600`	`1.077`	`0.00523659`	`0.00523659`
`gasoil200`	`0.5200`	`0.7400`	`0.703`	`0.00523660`	`0.00523660`
`gasoil400`	`1.0700`	`2.1800`	`0.491`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1300`	`0.1200`	`1.083`	`0.00523664`	`0.00523664`
`glider50`	`7.2800`	`27.4900`	`0.265`	`-1282.40000000`	`-249.99330000`
`gtm`	`0.0100`	`0.0100`	`---`	`543.56510000`	`543.56510000`
`harker`	`0.0100`	`0.0100`	`---`	`-986.51350000`	`-986.51350000`
`haverly`	`0.0000`	`0.0000`	`---`	`-400.00000000`	`-400.00000000`
`hhfair`	`0.0200`	`0.0100`	`---`	`-87.15904000`	`-87.15904000`
`himmel11`	`0.0000`	`0.0000`	`---`	`-30665.54000000`	`-30665.54000000`
`himmel16`	`0.0100`	`0.0100`	`---`	`-0.67498160`	`-0.67498130`
`house`	`0.0000`	`0.0000`	`---`	`-4499.99900000`	`-4500.00000000`
`hydro`	`0.0000`	`0.0000`	`---`	`4366944.00000000`	`4366944.00000000`
`infeas1`	`0.3600`	`1.3800`	`0.261`	`13685.60000000`	`13685.60000000`
`jbearing100`	`57.9300`	`6.2400`	`9.284`	`-0.15504200`	`-0.15437010`
`jbearing25`	`1.6500`	`0.5900`	`2.797`	`-0.15401550`	`-0.15385120`
`jbearing50`	`9.7400`	`1.8900`	`5.153`	`-0.15482420`	`-0.15449210`
`jbearing75`	`26.2200`	`3.6200`	`7.243`	`-0.15498450`	`-0.15448320`
`korcge`	`0.0100`	`0.0100`	`---`	`-339.21300000`	`-339.21300000`
`launch`	`0.0000`	`0.0200`	`---`	`2257.79800000`	`2257.79800000`
`lnts100`	`0.2100`	`0.0500`	`4.200`	`0.55459530`	`0.55459540`
`lnts200`	`0.4400`	`0.1400`	`3.143`	`0.55457700`	`0.55457700`
`lnts400`	`1.5400`	`0.2700`	`5.704`	`0.55457240`	`0.55457240`
`lnts50`	`0.0600`	`0.0400`	`1.500`	`0.55466870`	`0.55466880`
`meanvar`	`0.0000`	`0.0000`	`---`	`5.24339900`	`5.24340000`
`methanol100`	`0.3000`	`1.3100`	`0.229`	`0.00902229`	`0.00902237`
`methanol200`	`0.6200`	`8.1200`	`0.076`	`0.00902229`	`0.00902237`
`methanol400`	`1.1500`	`88.4600`	`0.013`	`0.00902229`	`0.00902237`
`methanol50`	`0.1500`	`0.4100`	`0.366`	`0.00902229`	`0.00902237`
`mhw4d`	`0.0100`	`0.0100`	`---`	`27.87190000`	`0.02931083`
`minsurf100`	`53.5800`	`406.3900`	`0.132`	`2.50694900`	`2.50715800`
`minsurf25`	`1.0100`	`17.1200`	`0.059`	`2.51948800`	`2.51955300`
`minsurf50`	`7.4600`	`42.0300`	`0.177`	`2.51488900`	`2.51500500`
`minsurf75`	`22.2000`	`144.7400`	`0.153`	`2.50568600`	`2.50584500`
`otpop`	`0.0100`	`0.0100`	`---`	`0.00000000`	`-0.00000001`
`pindyck`	`0.0100`	`0.0200`	`---`	`-1170.48600000`	`-1170.48600000`
`pinene100`	`0.4000`	`0.6400`	`0.625`	`19.87101000`	`19.87217000`
`pinene200`	`1.0000`	`1.6800`	`0.595`	`19.87217000`	`19.87217000`
`pinene25`	`0.3000`	`0.3100`	`0.968`	`19.87217000`	`19.87217000`
`pinene50`	`0.3000`	`0.3300`	`0.909`	`19.87217000`	`19.87217000`
`pollut`	`0.0100`	`0.0200`	`---`	`-5353269.00000000`	`-5353269.00000000`
`polygon100`	`6.2100`	`7.7300`	`0.803`	`-0.78488910`	`-0.72686010`
`polygon25`	`0.1700`	`0.1400`	`1.214`	`-0.77847510`	`-0.74912530`
`polygon50`	`0.8400`	`0.5800`	`1.448`	`-0.78327700`	`-0.73359290`
`polygon75`	`2.8300`	`2.6200`	`1.080`	`-0.78440940`	`-0.72683650`
`popdynm100`	`3.2000`	`10.9500`	`0.292`	`19746.53000000`	`19746.53000000`
`popdynm200`	`8.4400`	`44.4900`	`0.190`	`19746.53000000`	`19746.53000000`
`popdynm25`	`1.1800`	`0.2800`	`4.214`	`19752.22000000`	`19752.22000000`
`popdynm50`	`1.0700`	`5.2100`	`0.205`	`19746.55000000`	`19746.55000000`
`process`	`0.0000`	`0.0000`	`---`	`-1161.33700000`	`-1161.33700000`
`prolog`	`0.0100`	`0.0300`	`---`	`1.06218500`	`-0.00000124`
`qp1`	`0.0600`	`0.1200`	`0.500`	`0.00080932`	`0.00082286`
`qp2`	`0.0400`	`0.0500`	`0.800`	`0.00080932`	`0.00082286`
`qp3`	`0.0200`	`0.0600`	`0.333`	`0.00080932`	`0.00082287`
`qp4`	`0.0100`	`0.0200`	`---`	`0.00080932`	`0.00082281`
`ramsey`	`0.0100`	`0.0000`	`---`	`-2.48746900`	`-2.48746900`
`rbrock`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`rocket400`	`7.4600`	`2.8900`	`2.581`	`-1.01283500`	`-1.01267400`
`rocket50`	`0.4800`	`0.3400`	`1.412`	`-1.01281700`	`-1.01281300`
`sambal`	`0.0000`	`0.0000`	`---`	`3.96822000`	`3.96822000`
`sample`	`0.0100`	`0.0000`	`---`	`726.67940000`	`726.67940000`
`ship`	`0.0100`	`0.0000`	`---`	`5.54091500`	`5.54091500`
`srcpm`	`0.0000`	`0.0100`	`---`	`2109.78200000`	`2109.78200000`
`st_bpaf1a`	`0.0000`	`0.0100`	`---`	`-45.37971000`	`-45.37971000`
`st_bpaf1b`	`0.0000`	`0.0000`	`---`	`-42.96256000`	`-42.96256000`
`st_bpk1`	`0.0100`	`0.0000`	`---`	`-10.00000000`	`-10.00000000`
`st_bpk2`	`0.0200`	`0.0000`	`---`	`-10.00000000`	`-10.00000000`
`st_bpv1`	`0.0000`	`0.0000`	`---`	`10.00000000`	`10.00001000`
`st_bpv2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-8.00000000`
`st_bsj2`	`0.0100`	`0.0000`	`---`	`1.00000000`	`1.17659300`
`st_bsj4`	`0.0000`	`0.0000`	`---`	`-44347.05000000`	`-70262.05000000`
`st_cqpf`	`0.0000`	`0.0000`	`---`	`-2.75000000`	`-2.75000000`
`st_cqpjk1`	`0.0000`	`0.0000`	`---`	`-12.44444000`	`-12.44444000`
`st_e01`	`0.0000`	`0.0000`	`---`	`-4.00000000`	`-6.66666700`
`st_e03`	`0.0100`	`0.0100`	`---`	`-1161.33700000`	`-1161.33700000`
`st_e05`	`0.0100`	`0.0000`	`---`	`7049.24800000`	`7049.24900000`
`st_e06`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_e07`	`0.0000`	`0.0000`	`---`	`-400.00000000`	`-400.00000000`
`st_e09`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-0.49999990`
`st_e10`	`0.0000`	`0.0000`	`---`	`-16.73889000`	`-16.73889000`
`st_e12`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-4.51420200`
`st_e19`	`0.0100`	`0.0000`	`---`	`11.00000000`	`10.35383000`
`st_e20`	`0.0000`	`0.0100`	`---`	`-0.38881140`	`-0.38881100`
`st_e21`	`0.0000`	`0.0100`	`---`	`0.00000000`	`-13.40190000`
`st_e22`	`0.0000`	`0.0000`	`---`	`-68.00000000`	`-68.00000000`
`st_e23`	`0.0000`	`0.0100`	`---`	`-1.00000000`	`-1.08333300`
`st_e24`	`0.0000`	`0.0000`	`---`	`4.00000000`	`3.00000000`
`st_e25`	`0.0100`	`0.0100`	`---`	`0.89019360`	`0.89019520`
`st_e26`	`0.0000`	`0.0100`	`---`	`-185.77920000`	`-185.77920000`
`st_e28`	`0.0000`	`0.0000`	`---`	`-30665.54000000`	`-30665.54000000`
`st_e33`	`0.0100`	`0.0200`	`---`	`-400.00000000`	`-100.00000000`
`st_e34`	`0.0100`	`0.0000`	`---`	`0.01561953`	`0.01562193`
`st_e37`	`0.0100`	`0.0100`	`---`	`0.97913910`	`0.04149166`
`st_e39`	`0.0100`	`0.0100`	`---`	`-5.06544000`	`-5.06544000`
`st_e41`	`0.0000`	`0.0100`	`---`	`641.82350000`	`641.82360000`
`st_e42`	`0.0000`	`0.0000`	`---`	`18.78420000`	`18.78420000`
`st_fp1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-13.99999000`
`st_fp2`	`0.0100`	`0.0100`	`---`	`-213.00000000`	`-213.00000000`
`st_fp3`	`0.0000`	`0.0000`	`---`	`-10.10938000`	`-15.00000000`
`st_fp4`	`0.0100`	`0.0000`	`---`	`-11.00000000`	`-11.00000000`
`st_fp5`	`0.0000`	`0.0100`	`---`	`-268.01460000`	`-268.01460000`
`st_fp6`	`0.0100`	`0.0000`	`---`	`-21.12500000`	`-21.12500000`
`st_fp7a`	`0.0000`	`0.0000`	`---`	`1.47958600`	`1.47959400`
`st_fp7b`	`0.0000`	`0.0200`	`---`	`-499.77610000`	`-465.57290000`
`st_fp7c`	`0.0100`	`0.0100`	`---`	`-6012.66400000`	`-5755.13800000`
`st_fp7d`	`0.0000`	`0.0100`	`---`	`6.55405400`	`6.55405500`
`st_fp7e`	`0.0100`	`0.0200`	`---`	`12.75071000`	`-1026.01000000`
`st_fp8`	`0.0100`	`0.0300`	`---`	`22088.00000000`	`18510.00000000`
`st_glmp_fp1`	`0.0100`	`0.0000`	`---`	`20.00000000`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`0.0100`	`---`	`7.62750000`	`7.34454500`
`st_glmp_fp3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_glmp_kk90`	`0.0000`	`0.0000`	`---`	`4.00000000`	`3.00000000`
`st_glmp_kk92`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_glmp_kky`	`0.0100`	`0.0100`	`---`	`1.50000000`	`-2.50000000`
`st_glmp_ss1`	`0.0100`	`0.0100`	`---`	`-24.57143000`	`-24.57143000`
`st_glmp_ss2`	`0.0100`	`0.0000`	`---`	`8.25000000`	`8.25000000`
`st_ht`	`0.0100`	`0.0000`	`---`	`0.00000000`	`-0.65000000`
`st_iqpbk1`	`0.0000`	`0.0100`	`---`	`-621.48780000`	`-621.48780000`
`st_iqpbk2`	`0.0000`	`0.0000`	`---`	`-1195.22600000`	`-1195.22600000`
`st_jcbpaf2`	`0.0000`	`0.0100`	`---`	`-794.85590000`	`-743.47830000`
`st_jcbpafex`	`0.0000`	`0.0000`	`---`	`-1.00000000`	`-1.08333300`
`st_kr`	`0.0100`	`0.0000`	`---`	`-68.00000000`	`-68.00000000`
`st_m1`	`0.0000`	`0.0000`	`---`	`-461356.90000000`	`-461356.90000000`
`st_m2`	`0.0100`	`11.7800`	`0.001`	`-856648.80000000`	`-856648.80000000`
`st_pan1`	`0.0100`	`0.0000`	`---`	`0.00000000`	`-4.61645100`
`st_pan2`	`0.0100`	`0.0000`	`---`	`0.00000000`	`-13.99999000`
`st_ph10`	`0.0000`	`0.0100`	`---`	`-10.50000000`	`-10.50000000`
`st_ph11`	`0.0100`	`0.0000`	`---`	`0.00000000`	`-11.28125000`
`st_ph12`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-11.99999000`
`st_ph13`	`0.0100`	`0.0100`	`---`	`0.00000000`	`-11.28125000`
`st_ph14`	`0.0000`	`0.0100`	`---`	`-215.12500000`	`-229.72220000`
`st_ph15`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000008`
`st_ph1`	`0.0000`	`0.0100`	`---`	`0.00000000`	`-215.51660000`
`st_ph20`	`0.0100`	`0.0000`	`---`	`-158.00000000`	`-158.00000000`
`st_ph2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-156.14810000`
`st_ph3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`-89.25000000`
`st_phex`	`0.0200`	`0.0000`	`---`	`-68.00000000`	`-68.00000000`
`st_qpc-m0`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000400`
`st_qpc-m1`	`0.0000`	`0.0000`	`---`	`-473.77780000`	`-473.77780000`
`st_qpc-m3a`	`0.0000`	`0.0100`	`---`	`0.00000000`	`-382.69500000`
`st_qpc-m3b`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00002003`
`st_qpc-m3c`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00002005`
`st_qpc-m4`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00002007`
`st_qpk1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000080`
`st_qpk2`	`0.0200`	`0.0000`	`---`	`0.00000000`	`-9.18750000`
`st_qpk3`	`0.0100`	`0.0000`	`---`	`0.00000000`	`-36.00000000`
`st_rv1`	`0.0000`	`0.0100`	`---`	`-59.90435000`	`-59.90434000`
`st_rv2`	`0.0000`	`0.0100`	`---`	`-64.48070000`	`-62.56135000`
`st_rv3`	`0.0000`	`0.0100`	`---`	`-35.76067000`	`-35.76067000`
`st_rv7`	`0.0100`	`0.0000`	`---`	`-118.15120000`	`-138.18750000`
`st_rv8`	`0.0100`	`0.0400`	`---`	`-132.66160000`	`-132.66160000`
`st_rv9`	`0.0000`	`0.0300`	`---`	`-114.61250000`	`-117.58870000`
`st_z`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000006`
`torsion100`	`32.0200`	`10.2100`	`3.136`	`-0.41823920`	`-0.41749770`
`torsion25`	`0.6400`	`0.8500`	`0.753`	`-0.41751070`	`-0.41750290`
`torsion50`	`4.5200`	`2.2500`	`2.009`	`-0.41808760`	`-0.41771720`
`torsion75`	`16.2800`	`6.2200`	`2.617`	`-0.41819940`	`-0.41765710`
`turkey`	`0.1500`	`0.5400`	`0.278`	`-29330.16000000`	`-29330.16000000`
`wall`	`0.0000`	`0.0000`	`---`	`1.00000500`	`1.00000500`
`weapons`	`0.0200`	`0.0000`	`---`	`-1735.57000000`	`-1735.57000000`

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

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Obj (CONOPT)	Obj (KNITRO)
`arki0010`	`3.6100`	`3635.8700`	`0.001`	`-187908.70000000`	`-187908.60000000`
`ex5_2_5`	`0.0100`	`0.7400`	`0.014`	`-3500.00000000`	`-3500.00000000`
`ex9_2_3`	`0.0000`	`0.1100`	`0.000`	`5.00000000`	`5.00000100`

CONOPT: locally optimal -- KNITRO: fail Back to top

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Obj (CONOPT)	Status (KNITRO)
`arki0003`	`6.5400`	`3600.0100`	---	`3795.20600000`	`mstat( 6) sstat( 3)`
`arki0004`	`1.1600`	`3600.0200`	---	`323.46700000`	`mstat( 6) sstat( 3)`
`arki0007`	`5.1800`	`3600.0100`	---	`-744.70900000`	`mstat( 6) sstat( 3)`
`arki0009`	`39.2500`	`37.2200`	---	`-207096.60000000`	`mstat( 6) sstat( 4)`
`arki0018`	`1.8200`	`3600.0100`	---	`0.01045662`	`mstat( 6) sstat( 3)`
`elec200`	`12.2300`	`3602.5000`	---	`18439.19000000`	`mstat( 6) sstat( 3)`
`ex8_2_4`	`0.0900`	`0.1900`	---	`0.00000243`	`mstat( 6) sstat( 4)`
`least`	`0.0000`	`59.4900`	---	`14085.14000000`	`mstat( 6) sstat( 4)`
`like`	`0.0200`	`517.0000`	---	`1138.41100000`	`mstat( 6) sstat( 4)`
`minlphi`	`0.0000`	`9.2200`	---	`582.23610000`	`mstat( 6) sstat( 4)`
`robot100`	`0.2900`	`3600.0000`	---	`9.14268600`	`mstat( 6) sstat( 3)`
`robot200`	`0.9000`	`3600.0000`	---	`9.14139500`	`mstat( 6) sstat( 3)`
`robot400`	`2.9800`	`3600.0200`	---	`9.14102500`	`mstat( 6) sstat( 3)`
`robot50`	`0.1300`	`3600.0000`	---	`9.14687400`	`mstat( 6) sstat( 3)`
`st_e04`	`0.0000`	`0.0200`	---	`5194.86600000`	`mstat( 6) sstat( 4)`
`st_e11`	`0.0000`	`0.0300`	---	`189.31160000`	`mstat( 6) sstat( 4)`
`worst`	`0.0000`	`442.2800`	---	`20762610.00000000`	`mstat( 6) sstat( 4)`

CONOPT: locally optimal -- KNITRO: no data Back to top

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Obj (CONOPT)	Status (KNITRO)
`arki0011`	`3.8700`	`--`	---	`-224086.50000000`	`---`
`arki0013`	`1339.1100`	`--`	---	`-224253.10000000`	`---`

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

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Obj (CONOPT)	Obj (KNITRO)
`ex6_2_14`	`0.0100`	`0.0000`	`---`	`-0.54395500`	`-0.69534570`
`rocket100`	`1.1400`	`0.4800`	`2.375`	`-1.01282300`	`-1.01279400`
`st_e17`	`0.0100`	`0.0000`	`---`	`376.29190000`	`376.29190000`

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

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Status (CONOPT)	Obj (KNITRO)
`ex5_3_2`	`0.0100`	`0.0600`	---	`mstat( 5) sstat( 1)`	`1.86416100`
`ex5_4_3`	`0.0000`	`0.1200`	---	`mstat( 5) sstat( 1)`	`4845.46200000`
`ex5_4_4`	`0.0000`	`0.1800`	---	`mstat( 5) sstat( 1)`	`11841.61000000`
`ex8_1_7`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`0.02931083`
`ex8_3_10`	`0.0100`	`0.9300`	---	`mstat( 5) sstat( 1)`	`-1.31932500`
`ex8_3_4`	`0.0200`	`0.6600`	---	`mstat( 5) sstat( 1)`	`-3.06071100`
`ex8_3_5`	`0.0200`	`0.0900`	---	`mstat( 5) sstat( 1)`	`-0.06265096`
`glider100`	`2.8800`	`44.1000`	---	`mstat( 5) sstat( 1)`	`-249.98760000`
`glider200`	`8.2600`	`39.4900`	---	`mstat( 5) sstat( 1)`	`-249.97390000`
`immun`	`0.0100`	`1.4100`	---	`mstat( 5) sstat( 1)`	`-0.57407770`
`st_e08`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`0.74178280`
`st_e18`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`-2.82842700`
`st_e30`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`-1.58113600`
`st_robot`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`0.00000000`

CONOPT: infeasible -- KNITRO: infeasible Back to top

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Status (CONOPT)	Status (KNITRO)
`st_e02`	`0.0100`	`1.6900`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`

CONOPT: infeasible -- KNITRO: fail Back to top

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Status (CONOPT)	Status (KNITRO)
`arki0008`	`21.2500`	`3600.0500`	---	`mstat( 5) sstat( 1)`	`mstat( 6) sstat( 3)`
`ex5_3_3`	`0.0000`	`2433.9900`	---	`mstat( 5) sstat( 1)`	`mstat( 6) sstat( 4)`
`ex7_3_6`	`0.0000`	`554.2900`	---	`mstat( 5) sstat( 1)`	`mstat( 6) sstat( 4)`
`ex8_3_14`	`0.0200`	`5.3600`	---	`mstat( 5) sstat( 1)`	`mstat( 6) sstat( 4)`
`ex8_3_8`	`0.0100`	`2971.2100`	---	`mstat( 5) sstat( 1)`	`mstat( 6) sstat( 4)`
`st_e16`	`0.0000`	`201.6500`	---	`mstat( 5) sstat( 1)`	`mstat( 6) sstat( 4)`

CONOPT: unbounded -- KNITRO: locally optimal Back to top

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Status (CONOPT)	Obj (KNITRO)
`st_bsj3`	`0.0000`	`0.0100`	---	`mstat( 3) sstat( 1)`	`-86768.55000000`
`st_cqpjk2`	`0.0100`	`0.0100`	---	`mstat( 3) sstat( 1)`	`-12.50000000`

CONOPT: unbounded -- KNITRO: fail Back to top

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Status (CONOPT)	Status (KNITRO)
`ex8_2_1`	`0.1000`	`0.2000`	---	`mstat( 3) sstat( 1)`	`mstat( 6) sstat( 4)`
`ex8_2_2`	`2.3500`	`3712.3000`	---	`mstat( 3) sstat( 1)`	`mstat( 6) sstat( 3)`
`ex8_2_3`	`4.0300`	`5308.4100`	---	`mstat( 3) sstat( 1)`	`mstat( 6) sstat( 3)`

CONOPT: fail -- KNITRO: locally optimal Back to top

Modelname	Time (CONOPT)	Time (KNITRO)	Ratio (CONOPT/KNITRO)	Status (CONOPT)	Obj (KNITRO)
`ex8_3_7`	`0.0200`	`996.4000`	---	`mstat( 6) sstat( 5)`	`-0.98560320`