Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 06/28/07 20:57:36

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 IPOPT 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 :	`2-globallib.ipopt-1.pvr`
Solvers used :	`CONOPT`
	`IPOPT`
Modeltype(s)	`NLP`

	IPOPT: optimal	IPOPT: locally optimal	IPOPT: feasible	IPOPT: infeasible	IPOPT: unbounded	IPOPT: fail	IPOPT: no data	total CONOPT
CONOPT: optimal	`1`	`1`	-	-	-	-	-	`2`
CONOPT: locally optimal	-	`330`	`3`	`2`	`1`	`1`	`1`	`338`
CONOPT: feasible	-	`3`	-	-	-	-	-	`3`
CONOPT: infeasible	-	`15`	`1`	`4`	-	`1`	-	`21`
CONOPT: unbounded	-	`2`	-	-	`1`	`2`	-	`5`
CONOPT: fail	-	`4`	`1`	-	-	-	-	`5`
CONOPT: no data	-	-	-	-	-	-	-	`-`
total IPOPT	`1`	`355`	`5`	`6`	`2`	`4`	`1`	`374`

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 -- IPOPT: optimal Back to top

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Obj (CONOPT)	Obj (IPOPT)
`qp5`	`0.0200`	`0.0200`	`---`	`0.43145590`	`0.43146010`

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

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

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Obj (CONOPT)	Obj (IPOPT)
`abel`	`0.0100`	`0.0000`	`---`	`225.19460000`	`225.19460000`
`alkyl`	`0.0100`	`0.0100`	`---`	`-1.76500000`	`-1.76500000`
`arki0001`	`0.3000`	`0.0700`	`4.286`	`40.71286000`	`40.71288000`
`arki0002`	`1.1900`	`0.0800`	`14.875`	`1.06951000`	`1.87252800`
`arki0003`	`6.5400`	`100.0900`	`0.065`	`3795.20600000`	`3795.20600000`
`arki0004`	`1.1600`	`4.0100`	`0.289`	`323.46700000`	`323.46700000`
`arki0009`	`39.2500`	`12.9900`	`3.022`	`-207096.60000000`	`-207096.40000000`
`arki0010`	`3.6100`	`1.7400`	`2.075`	`-187908.70000000`	`-187908.60000000`
`arki0011`	`3.8700`	`73.7700`	`0.052`	`-224086.50000000`	`-224086.50000000`
`arki0013`	`1339.1100`	`75.4200`	`17.755`	`-224253.10000000`	`-224252.80000000`
`arki0015`	`0.6200`	`3.4000`	`0.182`	`-271.73570000`	`-266.94070000`
`arki0016`	`823.4300`	`0.9800`	`840.235`	`867.97320000`	`867.97320000`
`arki0017`	`62.8400`	`0.6800`	`92.412`	`-121.83310000`	`-121.83310000`
`arki0018`	`1.8200`	`0.5100`	`3.569`	`0.01045662`	`0.01045662`
`arki0019`	`0.2800`	`0.0900`	`3.111`	`-17.54533000`	`-17.54533000`
`arki0020`	`2.1800`	`0.1900`	`11.474`	`-41.07495000`	`-41.07495000`
`arki0021`	`62.7500`	`1.0200`	`61.520`	`-72.58210000`	`-72.58210000`
`arki0022`	`81.0200`	`1.7300`	`46.832`	`-87.09909000`	`-87.09909000`
`arki0023`	`5.5500`	`6.4900`	`0.855`	`-153.66010000`	`-153.66010000`
`bearing`	`0.0100`	`0.0200`	`---`	`1.95173600`	`1.95173300`
`camcge`	`0.0100`	`0.0000`	`---`	`-191.73460000`	`-191.73460000`
`camshape100`	`0.0200`	`0.0600`	`0.333`	`-4.28414700`	`-4.28414700`
`camshape200`	`0.0400`	`0.1300`	`0.308`	`-4.27850000`	`-4.27850000`
`camshape400`	`0.1100`	`0.3200`	`0.344`	`-4.27568800`	`-4.27561800`
`camshape800`	`0.2800`	`0.5500`	`0.509`	`-4.27427500`	`-4.27427400`
`catmix100`	`0.0900`	`0.0200`	`4.500`	`-0.04806931`	`-0.04806940`
`catmix200`	`0.1600`	`0.0400`	`4.000`	`-0.04805861`	`-0.04805912`
`catmix400`	`0.4100`	`0.0800`	`5.125`	`-0.04805620`	`-0.04805650`
`catmix800`	`0.4600`	`0.1800`	`2.556`	`-0.04805515`	`-0.04805590`
`chain100`	`0.0500`	`0.0100`	`5.000`	`5.06978500`	`5.06978500`
`chain200`	`0.0800`	`0.0200`	`4.000`	`5.06891700`	`5.06891700`
`chain25`	`0.0200`	`0.0000`	`---`	`5.07226100`	`5.07226100`
`chain400`	`0.3200`	`0.0400`	`8.000`	`5.06862200`	`5.06862200`
`chain50`	`0.0200`	`0.0100`	`---`	`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`	`0.0200`	`---`	`-47.70651000`	`-47.70651000`
`chenery`	`0.0000`	`0.0200`	`---`	`-1058.92000000`	`-1058.92000000`
`circle`	`0.0000`	`0.0100`	`---`	`4.57424600`	`4.57424800`
`demo7`	`0.0100`	`0.0200`	`---`	`-1589042.00000000`	`-1589042.00000000`
`dispatch`	`0.0000`	`0.0100`	`---`	`3155.28800000`	`3155.28800000`
`elec100`	`1.6000`	`107.5300`	`0.015`	`4448.35100000`	`4448.35100000`
`elec200`	`12.2300`	`1328.8000`	`0.009`	`18439.19000000`	`18439.27000000`
`elec25`	`0.0600`	`0.2500`	`0.240`	`243.81280000`	`243.81280000`
`elec50`	`0.2700`	`3.6400`	`0.074`	`1055.18200000`	`1055.18200000`
`etamac`	`0.0200`	`0.0100`	`---`	`-15.29468000`	`-15.29468000`
`ex14_1_1`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_1_2`	`0.0100`	`0.0300`	`---`	`0.00000000`	`0.00000000`
`ex14_1_3`	`0.0100`	`0.0200`	`---`	`0.00000000`	`0.00000000`
`ex14_1_4`	`0.0100`	`0.0200`	`---`	`0.00000000`	`0.00000019`
`ex14_1_5`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_1_6`	`0.0100`	`0.0200`	`---`	`1.00000000`	`1.00000000`
`ex14_1_7`	`0.0000`	`0.0300`	`---`	`7.04274900`	`7.02403400`
`ex14_1_8`	`0.0100`	`0.0100`	`---`	`0.04141589`	`0.04141598`
`ex14_1_9`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000001`
`ex14_2_1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000024`
`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`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000001`
`ex14_2_6`	`0.0000`	`0.0000`	`---`	`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`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex2_1_10`	`0.0000`	`0.0200`	`---`	`49318.02000000`	`49318.02000000`
`ex2_1_1`	`0.0000`	`0.0100`	`---`	`-17.00000000`	`-17.00000000`
`ex2_1_2`	`0.0000`	`0.0100`	`---`	`-213.00000000`	`-213.00000000`
`ex2_1_3`	`0.0000`	`0.0100`	`---`	`-15.00000000`	`-15.00000000`
`ex2_1_4`	`0.0100`	`0.0100`	`---`	`-11.00000000`	`-11.00000000`
`ex2_1_5`	`0.0000`	`0.0100`	`---`	`-268.01460000`	`-268.01460000`
`ex2_1_6`	`0.0100`	`0.0100`	`---`	`-39.00000000`	`-39.00000000`
`ex2_1_7`	`0.0000`	`0.0000`	`---`	`-4150.41000000`	`-4150.41000000`
`ex2_1_8`	`0.0000`	`0.0400`	`---`	`25287.00000000`	`18740.35000000`
`ex2_1_9`	`0.0000`	`0.0100`	`---`	`-0.37500000`	`-0.37500000`
`ex3_1_1`	`0.0100`	`0.0100`	`---`	`7049.24800000`	`7049.24800000`
`ex3_1_2`	`0.0000`	`0.0100`	`---`	`-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`	`0.0200`	`---`	`-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`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex4_1_5`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex4_1_6`	`0.0000`	`0.0100`	`---`	`7.00000000`	`7.00000000`
`ex4_1_7`	`0.0000`	`0.0000`	`---`	`-7.50000000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`0.0000`	`---`	`-16.73889000`	`-16.73889000`
`ex4_1_9`	`0.0000`	`0.0100`	`---`	`-5.50801300`	`-5.50801300`
`ex5_2_2_case1`	`0.0100`	`0.0300`	`---`	`0.00000000`	`-100.00000000`
`ex5_2_2_case2`	`0.0000`	`0.0200`	`---`	`0.00000000`	`-400.00000000`
`ex5_2_2_case3`	`0.0100`	`0.0300`	`---`	`0.00000000`	`-125.00000000`
`ex5_2_4`	`0.0100`	`0.0200`	`---`	`0.00000000`	`-450.00000000`
`ex5_2_5`	`0.0100`	`0.1600`	`0.063`	`-3500.00000000`	`-3500.00000000`
`ex5_4_2`	`0.0100`	`0.0200`	`---`	`7512.23000000`	`7512.23000000`
`ex6_1_1`	`0.0000`	`0.0100`	`---`	`-0.02019831`	`-0.02019831`
`ex6_1_2`	`0.0000`	`0.0000`	`---`	`-0.03246375`	`-0.03246375`
`ex6_1_3`	`0.0100`	`0.0100`	`---`	`-0.35249780`	`-0.35249780`
`ex6_1_4`	`0.0100`	`0.0100`	`---`	`-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`	`0.0000`	`---`	`-0.21620940`	`-0.21620940`
`ex6_2_5`	`0.0000`	`0.0200`	`---`	`-70.75208000`	`-70.75208000`
`ex6_2_6`	`0.0100`	`0.0000`	`---`	`0.00000071`	`0.00000071`
`ex6_2_7`	`0.0000`	`0.0000`	`---`	`-0.16084760`	`-0.16084760`
`ex6_2_8`	`0.0000`	`0.0000`	`---`	`-0.02700635`	`-0.02700635`
`ex6_2_9`	`0.0000`	`0.0100`	`---`	`-0.03406618`	`-0.03406618`
`ex7_2_1`	`0.0100`	`0.0200`	`---`	`1227.22600000`	`1227.22600000`
`ex7_2_2`	`0.0100`	`0.0100`	`---`	`-0.38881140`	`-0.38881140`
`ex7_2_3`	`0.0100`	`0.0200`	`---`	`7049.24800000`	`7049.24800000`
`ex7_2_4`	`0.0100`	`0.0100`	`---`	`3.91801000`	`3.91801000`
`ex7_3_1`	`0.0000`	`0.0200`	`---`	`0.34173960`	`0.34173960`
`ex7_3_2`	`0.0000`	`0.0200`	`---`	`1.08986400`	`1.08986400`
`ex7_3_3`	`0.0000`	`0.0100`	`---`	`1.14478000`	`1.14478000`
`ex7_3_4`	`0.0000`	`0.0200`	`---`	`10.00000000`	`8.46047200`
`ex7_3_5`	`0.0100`	`0.0200`	`---`	`1.20689700`	`1.20689700`
`ex8_1_1`	`0.0000`	`0.0100`	`---`	`-2.02180700`	`-2.02180700`
`ex8_1_2`	`0.0000`	`0.0100`	`---`	`2.80345800`	`-1.03962700`
`ex8_1_3`	`0.0000`	`0.0100`	`---`	`30.00000000`	`30.00000000`
`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`	`0.0100`	`---`	`-5.06544000`	`-5.06544000`
`ex8_1_8`	`0.0000`	`0.0100`	`---`	`-0.38881140`	`-0.38881140`
`ex8_3_11`	`0.1300`	`0.2800`	`0.464`	`-0.73173420`	`-0.79957190`
`ex8_3_12`	`0.0200`	`0.4400`	`0.045`	`0.00000000`	`-0.99059470`
`ex8_3_13`	`0.1200`	`0.0300`	`4.000`	`0.00000000`	`0.00000471`
`ex8_3_1`	`0.1800`	`0.2700`	`0.667`	`-0.81412100`	`-0.81959030`
`ex8_3_2`	`0.0500`	`0.1200`	`0.417`	`-0.41233020`	`-0.00115851`
`ex8_3_3`	`0.0500`	`0.0400`	`1.250`	`-0.41660310`	`-0.33303460`
`ex8_3_6`	`0.0200`	`0.0500`	`0.400`	`-0.50000000`	`-0.50000000`
`ex8_3_9`	`0.0200`	`0.0100`	`---`	`-0.76300210`	`-0.74161980`
`ex8_4_1`	`0.0100`	`0.0100`	`---`	`0.61857220`	`0.61857280`
`ex8_4_2`	`0.0000`	`0.0100`	`---`	`0.48515250`	`0.48515250`
`ex8_4_3`	`0.0000`	`0.0100`	`---`	`0.00464972`	`0.00464972`
`ex8_4_4`	`0.0100`	`0.0100`	`---`	`0.21245990`	`0.21245980`
`ex8_4_5`	`0.0000`	`0.0100`	`---`	`0.00122530`	`0.00122530`
`ex8_4_6`	`0.0200`	`0.0900`	`0.222`	`0.00110498`	`0.65896430`
`ex8_4_7`	`0.0100`	`0.0200`	`---`	`29.04732000`	`29.04731000`
`ex8_4_8`	`0.0000`	`0.0900`	`0.000`	`3.32187800`	`3.32184700`
`ex8_5_1`	`0.0000`	`0.0100`	`---`	`0.00636086`	`-0.00000042`
`ex8_5_2`	`0.0100`	`0.0300`	`---`	`-0.00000001`	`-0.00000001`
`ex8_5_3`	`0.0100`	`0.0100`	`---`	`0.00237175`	`0.00004093`
`ex8_5_4`	`0.0000`	`0.0100`	`---`	`-0.00042515`	`-0.00042515`
`ex8_5_5`	`0.0100`	`0.0000`	`---`	`-0.01075334`	`0.00000067`
`ex8_5_6`	`0.0100`	`0.0000`	`---`	`0.00000099`	`0.00000099`
`ex8_6_1`	`0.0600`	`0.1000`	`0.600`	`-28.42253000`	`-28.42253000`
`ex8_6_2`	`0.0800`	`0.1300`	`0.615`	`-31.88863000`	`-31.68816000`
`ex9_1_10`	`0.0000`	`0.0400`	`---`	`-3.25000000`	`-3.25000000`
`ex9_1_1`	`0.0100`	`0.0300`	`---`	`-13.00000000`	`-13.00000000`
`ex9_1_2`	`0.0100`	`0.0200`	`---`	`-16.00000000`	`-16.00000000`
`ex9_1_4`	`0.0000`	`0.0400`	`---`	`-37.00000000`	`-37.00000000`
`ex9_1_5`	`0.0100`	`0.0200`	`---`	`-1.00000000`	`4.00000000`
`ex9_1_8`	`0.0000`	`0.0400`	`---`	`-3.25000000`	`-3.25000000`
`ex9_2_1`	`0.0100`	`0.0400`	`---`	`17.00000000`	`42.49383000`
`ex9_2_2`	`0.0000`	`0.0500`	`0.000`	`99.99425000`	`100.00000000`
`ex9_2_3`	`0.0000`	`0.0300`	`---`	`5.00000000`	`5.00000000`
`ex9_2_4`	`0.0000`	`0.0100`	`---`	`0.50000000`	`0.50000000`
`ex9_2_5`	`0.0000`	`0.0200`	`---`	`9.00000000`	`9.80000000`
`ex9_2_6`	`0.0000`	`0.0300`	`---`	`-1.00000000`	`3.00000000`
`ex9_2_7`	`0.0000`	`0.0400`	`---`	`17.00000000`	`42.49383000`
`ex9_2_8`	`0.0000`	`0.0100`	`---`	`1.50000000`	`1.50000000`
`flowchan100`	`0.0600`	`0.0500`	`1.200`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1400`	`0.1000`	`1.400`	`0.00000000`	`0.00000000`
`flowchan400`	`0.5200`	`0.2000`	`2.600`	`0.00000000`	`0.00000000`
`flowchan50`	`0.0400`	`0.0300`	`---`	`0.00000000`	`0.00000000`
`ganges`	`0.0100`	`0.0200`	`---`	`-6395.54400000`	`-6395.54400000`
`gangesx`	`0.0200`	`0.0200`	`---`	`-6395.54400000`	`-6395.54400000`
`gasoil100`	`0.2800`	`0.2100`	`1.333`	`0.00523659`	`0.00523659`
`gasoil200`	`0.5200`	`0.4100`	`1.268`	`0.00523660`	`0.00523660`
`gasoil400`	`1.0700`	`1.1900`	`0.899`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1300`	`0.0800`	`1.625`	`0.00523664`	`0.00523664`
`gtm`	`0.0100`	`0.0200`	`---`	`543.56510000`	`543.56510000`
`harker`	`0.0100`	`0.0000`	`---`	`-986.51350000`	`-986.51350000`
`haverly`	`0.0000`	`0.0200`	`---`	`-400.00000000`	`-100.00000000`
`hhfair`	`0.0200`	`0.0100`	`---`	`-87.15904000`	`-87.15904000`
`himmel11`	`0.0000`	`0.0200`	`---`	`-30665.54000000`	`-30665.54000000`
`himmel16`	`0.0100`	`0.0200`	`---`	`-0.67498160`	`-0.67498130`
`house`	`0.0000`	`0.0100`	`---`	`-4499.99900000`	`-4500.00000000`
`hydro`	`0.0000`	`0.0100`	`---`	`4366944.00000000`	`4366944.00000000`
`infeas1`	`0.3600`	`0.5200`	`0.692`	`13685.60000000`	`13685.60000000`
`jbearing100`	`57.9300`	`4.6100`	`12.566`	`-0.15504200`	`-0.15504110`
`jbearing25`	`1.6500`	`0.4400`	`3.750`	`-0.15401550`	`-0.15401550`
`jbearing50`	`9.7400`	`1.3200`	`7.379`	`-0.15482420`	`-0.15482380`
`jbearing75`	`26.2200`	`2.9000`	`9.041`	`-0.15498450`	`-0.15498450`
`korcge`	`0.0100`	`0.0100`	`---`	`-339.21300000`	`-339.21300000`
`launch`	`0.0000`	`0.0300`	`---`	`2257.79800000`	`2257.79800000`
`least`	`0.0000`	`0.0000`	`---`	`14085.14000000`	`14085.14000000`
`like`	`0.0200`	`0.0100`	`---`	`1138.41100000`	`1138.41100000`
`lnts100`	`0.2100`	`0.0300`	`7.000`	`0.55459530`	`0.55459540`
`lnts200`	`0.4400`	`0.0500`	`8.800`	`0.55457700`	`0.55457700`
`lnts400`	`1.5400`	`0.1100`	`14.000`	`0.55457240`	`0.55457240`
`lnts50`	`0.0600`	`0.0400`	`1.500`	`0.55466870`	`0.55466880`
`meanvar`	`0.0000`	`0.0100`	`---`	`5.24339900`	`5.24339900`
`methanol100`	`0.3000`	`0.2800`	`1.071`	`0.00902229`	`0.00902230`
`methanol200`	`0.6200`	`3.3900`	`0.183`	`0.00902229`	`0.00902233`
`methanol400`	`1.1500`	`4.4000`	`0.261`	`0.00902229`	`0.00902229`
`methanol50`	`0.1500`	`0.0900`	`1.667`	`0.00902229`	`0.00902229`
`mhw4d`	`0.0100`	`0.0000`	`---`	`27.87190000`	`27.87191000`
`minlphi`	`0.0000`	`0.7600`	`0.000`	`582.23610000`	`582.23610000`
`minsurf100`	`53.5800`	`6.2200`	`8.614`	`2.50694900`	`2.50695500`
`minsurf25`	`1.0100`	`0.4600`	`2.196`	`2.51948800`	`2.51949300`
`minsurf50`	`7.4600`	`1.6400`	`4.549`	`2.51488900`	`2.51490300`
`minsurf75`	`22.2000`	`10.2400`	`2.168`	`2.50568600`	`2.50571400`
`otpop`	`0.0100`	`0.0200`	`---`	`0.00000000`	`0.00000000`
`pindyck`	`0.0100`	`0.0200`	`---`	`-1170.48600000`	`-1170.48600000`
`pinene100`	`0.4000`	`0.2100`	`1.905`	`19.87101000`	`19.87217000`
`pinene200`	`1.0000`	`0.5300`	`1.887`	`19.87217000`	`19.87217000`
`pinene25`	`0.3000`	`0.0900`	`3.333`	`19.87217000`	`19.87217000`
`pinene50`	`0.3000`	`0.1000`	`3.000`	`19.87217000`	`19.87217000`
`pollut`	`0.0100`	`0.0200`	`---`	`-5353269.00000000`	`-5353269.00000000`
`polygon100`	`6.2100`	`3.8200`	`1.626`	`-0.78488910`	`-0.78505630`
`polygon25`	`0.1700`	`0.0700`	`2.429`	`-0.77847510`	`-0.77974050`
`polygon50`	`0.8400`	`0.8300`	`1.012`	`-0.78327700`	`-0.78213270`
`polygon75`	`2.8300`	`3.1000`	`0.913`	`-0.78440940`	`-0.78446380`
`popdynm100`	`3.2000`	`0.3100`	`10.323`	`19746.53000000`	`19746.53000000`
`popdynm200`	`8.4400`	`0.9500`	`8.884`	`19746.53000000`	`19746.53000000`
`popdynm25`	`1.1800`	`0.1400`	`8.429`	`19752.22000000`	`19752.22000000`
`popdynm50`	`1.0700`	`0.1300`	`8.231`	`19746.55000000`	`19746.55000000`
`process`	`0.0000`	`0.0000`	`---`	`-1161.33700000`	`-1161.33700000`
`prolog`	`0.0100`	`0.0300`	`---`	`1.06218500`	`0.00000000`
`qp1`	`0.0600`	`0.0600`	`1.000`	`0.00080932`	`0.00081267`
`qp2`	`0.0400`	`0.0300`	`---`	`0.00080932`	`0.00081267`
`qp3`	`0.0200`	`0.0300`	`---`	`0.00080932`	`0.00080955`
`qp4`	`0.0100`	`0.0200`	`---`	`0.00080932`	`0.00081306`
`ramsey`	`0.0100`	`0.0100`	`---`	`-2.48746900`	`-2.48746300`
`rbrock`	`0.0100`	`0.0200`	`---`	`0.00000000`	`0.00000000`
`robot200`	`0.9000`	`0.3900`	`2.308`	`9.14139500`	`9.14139700`
`robot400`	`2.9800`	`0.9400`	`3.170`	`9.14102500`	`9.14116100`
`rocket400`	`7.4600`	`140.4200`	`0.053`	`-1.01283500`	`-1.01283700`
`rocket50`	`0.4800`	`0.2700`	`1.778`	`-1.01281700`	`-1.01281700`
`sambal`	`0.0000`	`0.0000`	`---`	`3.96822000`	`3.96822000`
`sample`	`0.0100`	`0.0100`	`---`	`726.67940000`	`726.67940000`
`ship`	`0.0100`	`0.0100`	`---`	`5.54091500`	`5.54091500`
`srcpm`	`0.0000`	`0.0200`	`---`	`2109.78200000`	`2109.78200000`
`st_bpaf1a`	`0.0000`	`0.0200`	`---`	`-45.37971000`	`-45.37971000`
`st_bpaf1b`	`0.0000`	`0.0100`	`---`	`-42.96256000`	`-42.96256000`
`st_bpk1`	`0.0100`	`0.0200`	`---`	`-10.00000000`	`-10.00000000`
`st_bpk2`	`0.0200`	`0.0200`	`---`	`-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`	`0.0100`	`0.0100`	`---`	`1.00000000`	`1.17659300`
`st_bsj4`	`0.0000`	`0.0200`	`---`	`-44347.05000000`	`-67612.05000000`
`st_cqpf`	`0.0000`	`0.0100`	`---`	`-2.75000000`	`-2.75000000`
`st_cqpjk1`	`0.0000`	`0.0100`	`---`	`-12.44444000`	`-12.44444000`
`st_e01`	`0.0000`	`0.0100`	`---`	`-4.00000000`	`-6.66666700`
`st_e03`	`0.0100`	`0.0200`	`---`	`-1161.33700000`	`-1161.33700000`
`st_e04`	`0.0000`	`0.0200`	`---`	`5194.86600000`	`5194.86600000`
`st_e05`	`0.0100`	`0.0200`	`---`	`7049.24800000`	`7049.24900000`
`st_e06`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_e07`	`0.0000`	`0.0200`	`---`	`-400.00000000`	`-400.00000000`
`st_e09`	`0.0000`	`0.0100`	`---`	`0.00000000`	`-0.50000000`
`st_e10`	`0.0000`	`0.0000`	`---`	`-16.73889000`	`-16.73889000`
`st_e19`	`0.0100`	`0.0100`	`---`	`11.00000000`	`-86.42221000`
`st_e20`	`0.0000`	`0.0000`	`---`	`-0.38881140`	`-0.38881140`
`st_e22`	`0.0000`	`0.0100`	`---`	`-68.00000000`	`-85.00000000`
`st_e23`	`0.0000`	`0.0100`	`---`	`-1.00000000`	`-1.08333300`
`st_e24`	`0.0000`	`0.0200`	`---`	`4.00000000`	`3.00000000`
`st_e25`	`0.0100`	`0.0100`	`---`	`0.89019360`	`0.89019440`
`st_e26`	`0.0000`	`0.0100`	`---`	`-185.77920000`	`-185.77920000`
`st_e28`	`0.0000`	`0.0100`	`---`	`-30665.54000000`	`-30665.54000000`
`st_e33`	`0.0100`	`0.0200`	`---`	`-400.00000000`	`-400.00000000`
`st_e34`	`0.0100`	`0.0000`	`---`	`0.01561953`	`0.01562084`
`st_e37`	`0.0100`	`0.0100`	`---`	`0.97913910`	`0.00104172`
`st_e39`	`0.0100`	`0.0100`	`---`	`-5.06544000`	`-5.06544000`
`st_e41`	`0.0000`	`0.0000`	`---`	`641.82350000`	`647.78210000`
`st_e42`	`0.0000`	`0.0100`	`---`	`18.78420000`	`18.78420000`
`st_fp1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_fp2`	`0.0100`	`0.0000`	`---`	`-213.00000000`	`-213.00000000`
`st_fp3`	`0.0000`	`0.0100`	`---`	`-10.10938000`	`-15.00000000`
`st_fp4`	`0.0100`	`0.0000`	`---`	`-11.00000000`	`-11.00000000`
`st_fp5`	`0.0000`	`0.0200`	`---`	`-268.01460000`	`-268.01460000`
`st_fp6`	`0.0100`	`0.0200`	`---`	`-21.12500000`	`-21.69136000`
`st_fp7a`	`0.0000`	`0.0000`	`---`	`1.47958600`	`1.47958600`
`st_fp7b`	`0.0000`	`0.0600`	`0.000`	`-499.77610000`	`-455.70300000`
`st_fp7c`	`0.0100`	`0.0800`	`0.125`	`-6012.66400000`	`-5311.45800000`
`st_fp7d`	`0.0000`	`0.0200`	`---`	`6.55405400`	`6.55405500`
`st_fp7e`	`0.0100`	`0.1100`	`0.091`	`12.75071000`	`-2901.90900000`
`st_fp8`	`0.0100`	`0.0400`	`---`	`22088.00000000`	`15990.00000000`
`st_glmp_fp1`	`0.0100`	`0.0100`	`---`	`20.00000000`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`0.0200`	`---`	`7.62750000`	`7.34454500`
`st_glmp_fp3`	`0.0000`	`0.0100`	`---`	`0.00000000`	`-9.00000000`
`st_glmp_kk90`	`0.0000`	`0.0100`	`---`	`4.00000000`	`3.00000000`
`st_glmp_kk92`	`0.0000`	`0.0300`	`---`	`0.00000000`	`-9.00000000`
`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`	`3.00000000`
`st_ht`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_iqpbk1`	`0.0000`	`0.0300`	`---`	`-621.48780000`	`-621.48780000`
`st_iqpbk2`	`0.0000`	`0.0300`	`---`	`-1195.22600000`	`-1195.22600000`
`st_jcbpaf2`	`0.0000`	`0.0400`	`---`	`-794.85590000`	`-388.34910000`
`st_jcbpafex`	`0.0000`	`0.0000`	`---`	`-1.00000000`	`-1.08333300`
`st_kr`	`0.0100`	`0.0100`	`---`	`-68.00000000`	`-85.00000000`
`st_m1`	`0.0000`	`0.0100`	`---`	`-461356.90000000`	`-461356.90000000`
`st_m2`	`0.0100`	`0.0200`	`---`	`-856648.80000000`	`-856648.80000000`
`st_pan1`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000002`
`st_pan2`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph10`	`0.0000`	`0.0000`	`---`	`-10.50000000`	`-10.50000000`
`st_ph11`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph12`	`0.0000`	`0.0100`	`---`	`0.00000000`	`-22.62500000`
`st_ph13`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph14`	`0.0000`	`0.0100`	`---`	`-215.12500000`	`-229.72220000`
`st_ph15`	`0.0000`	`0.0100`	`---`	`0.00000000`	`-392.70370000`
`st_ph1`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_ph20`	`0.0100`	`0.0200`	`---`	`-158.00000000`	`-158.00000000`
`st_ph2`	`0.0000`	`0.0300`	`---`	`0.00000000`	`-932.85950000`
`st_ph3`	`0.0000`	`0.0200`	`---`	`0.00000000`	`-420.23480000`
`st_phex`	`0.0200`	`0.0100`	`---`	`-68.00000000`	`-85.00000000`
`st_qpc-m0`	`0.0000`	`0.0100`	`---`	`0.00000000`	`-5.00000000`
`st_qpc-m1`	`0.0000`	`0.0200`	`---`	`-473.77780000`	`-473.77780000`
`st_qpc-m3a`	`0.0000`	`0.0200`	`---`	`0.00000000`	`-242.19910000`
`st_qpc-m3b`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m4`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_qpk1`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_qpk2`	`0.0200`	`0.0300`	`---`	`0.00000000`	`-12.25000000`
`st_qpk3`	`0.0100`	`0.0400`	`---`	`0.00000000`	`-32.08743000`
`st_rv1`	`0.0000`	`0.0000`	`---`	`-59.90435000`	`-59.90434000`
`st_rv2`	`0.0000`	`0.0200`	`---`	`-64.48070000`	`-62.56135000`
`st_rv3`	`0.0000`	`0.0200`	`---`	`-35.76067000`	`-35.76067000`
`st_rv7`	`0.0100`	`0.0100`	`---`	`-118.15120000`	`-138.18750000`
`st_rv8`	`0.0100`	`0.0200`	`---`	`-132.66160000`	`-132.66160000`
`st_rv9`	`0.0000`	`0.4300`	`0.000`	`-114.61250000`	`-117.40490000`
`st_z`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`torsion100`	`32.0200`	`8.9100`	`3.594`	`-0.41823920`	`-0.41823920`
`torsion25`	`0.6400`	`0.6500`	`0.985`	`-0.41751070`	`-0.41751070`
`torsion50`	`4.5200`	`2.4400`	`1.852`	`-0.41808760`	`-0.41808760`
`torsion75`	`16.2800`	`5.3600`	`3.037`	`-0.41819940`	`-0.41819940`
`turkey`	`0.1500`	`0.4200`	`0.357`	`-29330.16000000`	`-29330.15000000`
`wall`	`0.0000`	`0.0000`	`---`	`1.00000500`	`1.00000500`
`weapons`	`0.0200`	`0.0200`	`---`	`-1735.57000000`	`-1735.57000000`
`worst`	`0.0000`	`0.0000`	`---`	`20762610.00000000`	`20762610.00000000`

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Obj (CONOPT)	Obj (IPOPT)
`st_e11`	`0.0000`	`0.0200`	`---`	`189.31160000`	`189.31160000`
`st_e12`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.09321433`
`st_e21`	`0.0000`	`0.0200`	`---`	`0.00000000`	`0.00124228`

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Obj (CONOPT)	Status (IPOPT)
`ex8_2_4`	`0.0900`	`0.1600`	---	`0.00000243`	`mstat( 5) sstat( 1)`
`glider50`	`7.2800`	`0.6000`	---	`-1282.40000000`	`mstat( 5) sstat( 1)`

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Obj (CONOPT)	Status (IPOPT)
`robot50`	`0.1300`	`2037.2400`	---	`9.14687400`	`mstat( 3) sstat( 1)`

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Obj (CONOPT)	Status (IPOPT)
`robot100`	`0.2900`	`3600.0200`	---	`9.14268600`	`mstat( 6) sstat( 3)`

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Obj (CONOPT)	Status (IPOPT)
`arki0007`	`5.1800`	`--`	---	`-744.70900000`	`---`

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Obj (CONOPT)	Obj (IPOPT)
`ex6_2_14`	`0.0100`	`0.0100`	`---`	`-0.54395500`	`-0.69535790`
`rocket100`	`1.1400`	`3.0500`	`0.374`	`-1.01282300`	`-1.01283200`
`st_e17`	`0.0100`	`0.0100`	`---`	`376.29190000`	`376.29190000`

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Status (CONOPT)	Obj (IPOPT)
`ex5_3_2`	`0.0100`	`0.0200`	---	`mstat( 5) sstat( 1)`	`1.86415900`
`ex5_4_3`	`0.0000`	`0.0500`	---	`mstat( 5) sstat( 1)`	`5937.43700000`
`ex5_4_4`	`0.0000`	`0.0400`	---	`mstat( 5) sstat( 1)`	`11841.61000000`
`ex8_1_7`	`0.0000`	`0.0200`	---	`mstat( 5) sstat( 1)`	`0.02931083`
`ex8_3_10`	`0.0100`	`0.3600`	---	`mstat( 5) sstat( 1)`	`-1.31932600`
`ex8_3_14`	`0.0200`	`0.8800`	---	`mstat( 5) sstat( 1)`	`-2.49863900`
`ex8_3_4`	`0.0200`	`0.4600`	---	`mstat( 5) sstat( 1)`	`-3.57998200`
`ex8_3_5`	`0.0200`	`0.0800`	---	`mstat( 5) sstat( 1)`	`-0.06265083`
`ex8_3_8`	`0.0100`	`0.2500`	---	`mstat( 5) sstat( 1)`	`-3.25611900`
`glider100`	`2.8800`	`207.2600`	---	`mstat( 5) sstat( 1)`	`-262.54450000`
`glider200`	`8.2600`	`341.4600`	---	`mstat( 5) sstat( 1)`	`-320.38540000`
`immun`	`0.0100`	`0.0100`	---	`mstat( 5) sstat( 1)`	`0.00000000`
`st_e08`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`0.74178200`
`st_e16`	`0.0000`	`0.0200`	---	`mstat( 5) sstat( 1)`	`12292.47000000`
`st_e18`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`-2.82842700`

CONOPT: infeasible -- IPOPT: feasible Back to top

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Status (CONOPT)	Obj (IPOPT)
`ex5_3_3`	`0.0000`	`0.3100`	---	`mstat( 5) sstat( 1)`	`3.56417100`

CONOPT: infeasible -- IPOPT: infeasible Back to top

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Status (CONOPT)	Status (IPOPT)
`ex7_3_6`	`0.0000`	`0.1000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e02`	`0.0100`	`0.0500`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e30`	`0.0000`	`0.0200`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_robot`	`0.0000`	`0.0200`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`

CONOPT: infeasible -- IPOPT: fail Back to top

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Status (CONOPT)	Status (IPOPT)
`arki0008`	`21.2500`	`4038.8400`	---	`mstat( 5) sstat( 1)`	`mstat( 6) sstat( 3)`

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

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

CONOPT: unbounded -- IPOPT: unbounded Back to top

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Status (CONOPT)	Status (IPOPT)
`ex8_2_1`	`0.1000`	`0.1400`	---	`mstat( 3) sstat( 1)`	`mstat( 3) sstat( 1)`

CONOPT: unbounded -- IPOPT: fail Back to top

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Status (CONOPT)	Status (IPOPT)
`ex8_2_2`	`2.3500`	`3689.6800`	---	`mstat( 3) sstat( 1)`	`mstat( 6) sstat( 3)`
`ex8_2_3`	`4.0300`	`3975.6200`	---	`mstat( 3) sstat( 1)`	`mstat( 6) sstat( 3)`

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

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Status (CONOPT)	Obj (IPOPT)
`arki0012`	`20.1000`	`110.9500`	---	`mstat( 6) sstat( 4)`	`-224252.20000000`
`arki0014`	`21.7900`	`70.0500`	---	`mstat( 6) sstat( 4)`	`-223976.90000000`
`glider400`	`28.6800`	`3384.5800`	---	`mstat( 6) sstat( 4)`	`-250.00000000`
`rocket200`	`1.0100`	`18.7900`	---	`mstat( 6) sstat( 4)`	`-1.01283500`

CONOPT: fail -- IPOPT: feasible Back to top

Modelname	Time (CONOPT)	Time (IPOPT)	Ratio (CONOPT/IPOPT)	Status (CONOPT)	Obj (IPOPT)
`ex8_3_7`	`0.0200`	`1.1900`	---	`mstat( 6) sstat( 5)`	`-0.98560310`

CONOPT: optimal: Back to top

Modelname	Time (CONOPT)	Obj (CONOPT)
`nemhaus`	`0.0000`	`31.00000000`
`qp5`	`0.0200`	`0.43145590`

CONOPT: locally optimal: Back to top

Modelname	Time (CONOPT)	Obj (CONOPT)
`abel`	`0.0100`	`225.19460000`
`alkyl`	`0.0100`	`-1.76500000`
`arki0001`	`0.3000`	`40.71286000`
`arki0002`	`1.1900`	`1.06951000`
`arki0003`	`6.5400`	`3795.20600000`
`arki0004`	`1.1600`	`323.46700000`
`arki0007`	`5.1800`	`-744.70900000`
`arki0009`	`39.2500`	`-207096.60000000`
`arki0010`	`3.6100`	`-187908.70000000`
`arki0011`	`3.8700`	`-224086.50000000`
`arki0013`	`1339.1100`	`-224253.10000000`
`arki0015`	`0.6200`	`-271.73570000`
`arki0016`	`823.4300`	`867.97320000`
`arki0017`	`62.8400`	`-121.83310000`
`arki0018`	`1.8200`	`0.01045662`
`arki0019`	`0.2800`	`-17.54533000`
`arki0020`	`2.1800`	`-41.07495000`
`arki0021`	`62.7500`	`-72.58210000`
`arki0022`	`81.0200`	`-87.09909000`
`arki0023`	`5.5500`	`-153.66010000`
`bearing`	`0.0100`	`1.95173600`
`camcge`	`0.0100`	`-191.73460000`
`camshape100`	`0.0200`	`-4.28414700`
`camshape200`	`0.0400`	`-4.27850000`
`camshape400`	`0.1100`	`-4.27568800`
`camshape800`	`0.2800`	`-4.27427500`
`catmix100`	`0.0900`	`-0.04806931`
`catmix200`	`0.1600`	`-0.04805861`
`catmix400`	`0.4100`	`-0.04805620`
`catmix800`	`0.4600`	`-0.04805515`
`chain100`	`0.0500`	`5.06978500`
`chain200`	`0.0800`	`5.06891700`
`chain25`	`0.0200`	`5.07226100`
`chain400`	`0.3200`	`5.06862200`
`chain50`	`0.0200`	`5.07226100`
`chakra`	`0.0000`	`-179.13360000`
`chance`	`0.0000`	`29.89438000`
`chem`	`0.0100`	`-47.70651000`
`chenery`	`0.0000`	`-1058.92000000`
`circle`	`0.0000`	`4.57424600`
`demo7`	`0.0100`	`-1589042.00000000`
`dispatch`	`0.0000`	`3155.28800000`
`elec100`	`1.6000`	`4448.35100000`
`elec200`	`12.2300`	`18439.19000000`
`elec25`	`0.0600`	`243.81280000`
`elec50`	`0.2700`	`1055.18200000`
`etamac`	`0.0200`	`-15.29468000`
`ex14_1_1`	`0.0000`	`0.00000000`
`ex14_1_2`	`0.0100`	`0.00000000`
`ex14_1_3`	`0.0100`	`0.00000000`
`ex14_1_4`	`0.0100`	`0.00000000`
`ex14_1_5`	`0.0100`	`0.00000000`
`ex14_1_6`	`0.0100`	`1.00000000`
`ex14_1_7`	`0.0000`	`7.04274900`
`ex14_1_8`	`0.0100`	`0.04141589`
`ex14_1_9`	`0.0100`	`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`	`0.0100`	`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`	`0.0100`	`0.00000000`
`ex2_1_10`	`0.0000`	`49318.02000000`
`ex2_1_1`	`0.0000`	`-17.00000000`
`ex2_1_2`	`0.0000`	`-213.00000000`
`ex2_1_3`	`0.0000`	`-15.00000000`
`ex2_1_4`	`0.0100`	`-11.00000000`
`ex2_1_5`	`0.0000`	`-268.01460000`
`ex2_1_6`	`0.0100`	`-39.00000000`
`ex2_1_7`	`0.0000`	`-4150.41000000`
`ex2_1_8`	`0.0000`	`25287.00000000`
`ex2_1_9`	`0.0000`	`-0.37500000`
`ex3_1_1`	`0.0100`	`7049.24800000`
`ex3_1_2`	`0.0000`	`-30665.54000000`
`ex3_1_3`	`0.0000`	`-310.00000000`
`ex3_1_4`	`0.0000`	`-4.00000000`
`ex4_1_1`	`0.0200`	`-7.48731200`
`ex4_1_2`	`0.0200`	`-663.50010000`
`ex4_1_3`	`0.0000`	`-443.67170000`
`ex4_1_4`	`0.0000`	`0.00000000`
`ex4_1_5`	`0.0100`	`0.00000000`
`ex4_1_6`	`0.0000`	`7.00000000`
`ex4_1_7`	`0.0000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`-16.73889000`
`ex4_1_9`	`0.0000`	`-5.50801300`
`ex5_2_2_case1`	`0.0100`	`0.00000000`
`ex5_2_2_case2`	`0.0000`	`0.00000000`
`ex5_2_2_case3`	`0.0100`	`0.00000000`
`ex5_2_4`	`0.0100`	`0.00000000`
`ex5_2_5`	`0.0100`	`-3500.00000000`
`ex5_4_2`	`0.0100`	`7512.23000000`
`ex6_1_1`	`0.0000`	`-0.02019831`
`ex6_1_2`	`0.0000`	`-0.03246375`
`ex6_1_3`	`0.0100`	`-0.35249780`
`ex6_1_4`	`0.0100`	`-0.29454130`
`ex6_2_10`	`0.0000`	`-3.05197600`
`ex6_2_11`	`0.0100`	`-0.00000267`
`ex6_2_12`	`0.0100`	`0.28919470`
`ex6_2_13`	`0.0100`	`-0.21620940`
`ex6_2_5`	`0.0000`	`-70.75208000`
`ex6_2_6`	`0.0100`	`0.00000071`
`ex6_2_7`	`0.0000`	`-0.16084760`
`ex6_2_8`	`0.0000`	`-0.02700635`
`ex6_2_9`	`0.0000`	`-0.03406618`
`ex7_2_1`	`0.0100`	`1227.22600000`
`ex7_2_2`	`0.0100`	`-0.38881140`
`ex7_2_3`	`0.0100`	`7049.24800000`
`ex7_2_4`	`0.0100`	`3.91801000`
`ex7_3_1`	`0.0000`	`0.34173960`
`ex7_3_2`	`0.0000`	`1.08986400`
`ex7_3_3`	`0.0000`	`1.14478000`
`ex7_3_4`	`0.0000`	`10.00000000`
`ex7_3_5`	`0.0100`	`1.20689700`
`ex8_1_1`	`0.0000`	`-2.02180700`
`ex8_1_2`	`0.0000`	`2.80345800`
`ex8_1_3`	`0.0000`	`30.00000000`
`ex8_1_4`	`0.0100`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.00000000`
`ex8_1_6`	`0.0000`	`-5.06544000`
`ex8_1_8`	`0.0000`	`-0.38881140`
`ex8_2_4`	`0.0900`	`0.00000243`
`ex8_3_11`	`0.1300`	`-0.73173420`
`ex8_3_12`	`0.0200`	`0.00000000`
`ex8_3_13`	`0.1200`	`0.00000000`
`ex8_3_1`	`0.1800`	`-0.81412100`
`ex8_3_2`	`0.0500`	`-0.41233020`
`ex8_3_3`	`0.0500`	`-0.41660310`
`ex8_3_6`	`0.0200`	`-0.50000000`
`ex8_3_9`	`0.0200`	`-0.76300210`
`ex8_4_1`	`0.0100`	`0.61857220`
`ex8_4_2`	`0.0000`	`0.48515250`
`ex8_4_3`	`0.0000`	`0.00464972`
`ex8_4_4`	`0.0100`	`0.21245990`
`ex8_4_5`	`0.0000`	`0.00122530`
`ex8_4_6`	`0.0200`	`0.00110498`
`ex8_4_7`	`0.0100`	`29.04732000`
`ex8_4_8`	`0.0000`	`3.32187800`
`ex8_5_1`	`0.0000`	`0.00636086`
`ex8_5_2`	`0.0100`	`-0.00000001`
`ex8_5_3`	`0.0100`	`0.00237175`
`ex8_5_4`	`0.0000`	`-0.00042515`
`ex8_5_5`	`0.0100`	`-0.01075334`
`ex8_5_6`	`0.0100`	`0.00000099`
`ex8_6_1`	`0.0600`	`-28.42253000`
`ex8_6_2`	`0.0800`	`-31.88863000`
`ex9_1_10`	`0.0000`	`-3.25000000`
`ex9_1_1`	`0.0100`	`-13.00000000`
`ex9_1_2`	`0.0100`	`-16.00000000`
`ex9_1_4`	`0.0000`	`-37.00000000`
`ex9_1_5`	`0.0100`	`-1.00000000`
`ex9_1_8`	`0.0000`	`-3.25000000`
`ex9_2_1`	`0.0100`	`17.00000000`
`ex9_2_2`	`0.0000`	`99.99425000`
`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`
`flowchan100`	`0.0600`	`0.00000000`
`flowchan200`	`0.1400`	`0.00000000`
`flowchan400`	`0.5200`	`0.00000000`
`flowchan50`	`0.0400`	`0.00000000`
`ganges`	`0.0100`	`-6395.54400000`
`gangesx`	`0.0200`	`-6395.54400000`
`gasoil100`	`0.2800`	`0.00523659`
`gasoil200`	`0.5200`	`0.00523660`
`gasoil400`	`1.0700`	`0.00523660`
`gasoil50`	`0.1300`	`0.00523664`
`glider50`	`7.2800`	`-1282.40000000`
`gtm`	`0.0100`	`543.56510000`
`harker`	`0.0100`	`-986.51350000`
`haverly`	`0.0000`	`-400.00000000`
`hhfair`	`0.0200`	`-87.15904000`
`himmel11`	`0.0000`	`-30665.54000000`
`himmel16`	`0.0100`	`-0.67498160`
`house`	`0.0000`	`-4499.99900000`
`hydro`	`0.0000`	`4366944.00000000`
`infeas1`	`0.3600`	`13685.60000000`
`jbearing100`	`57.9300`	`-0.15504200`
`jbearing25`	`1.6500`	`-0.15401550`
`jbearing50`	`9.7400`	`-0.15482420`
`jbearing75`	`26.2200`	`-0.15498450`
`korcge`	`0.0100`	`-339.21300000`
`launch`	`0.0000`	`2257.79800000`
`least`	`0.0000`	`14085.14000000`
`like`	`0.0200`	`1138.41100000`
`lnts100`	`0.2100`	`0.55459530`
`lnts200`	`0.4400`	`0.55457700`
`lnts400`	`1.5400`	`0.55457240`
`lnts50`	`0.0600`	`0.55466870`
`meanvar`	`0.0000`	`5.24339900`
`methanol100`	`0.3000`	`0.00902229`
`methanol200`	`0.6200`	`0.00902229`
`methanol400`	`1.1500`	`0.00902229`
`methanol50`	`0.1500`	`0.00902229`
`mhw4d`	`0.0100`	`27.87190000`
`minlphi`	`0.0000`	`582.23610000`
`minsurf100`	`53.5800`	`2.50694900`
`minsurf25`	`1.0100`	`2.51948800`
`minsurf50`	`7.4600`	`2.51488900`
`minsurf75`	`22.2000`	`2.50568600`
`otpop`	`0.0100`	`0.00000000`
`pindyck`	`0.0100`	`-1170.48600000`
`pinene100`	`0.4000`	`19.87101000`
`pinene200`	`1.0000`	`19.87217000`
`pinene25`	`0.3000`	`19.87217000`
`pinene50`	`0.3000`	`19.87217000`
`pollut`	`0.0100`	`-5353269.00000000`
`polygon100`	`6.2100`	`-0.78488910`
`polygon25`	`0.1700`	`-0.77847510`
`polygon50`	`0.8400`	`-0.78327700`
`polygon75`	`2.8300`	`-0.78440940`
`popdynm100`	`3.2000`	`19746.53000000`
`popdynm200`	`8.4400`	`19746.53000000`
`popdynm25`	`1.1800`	`19752.22000000`
`popdynm50`	`1.0700`	`19746.55000000`
`process`	`0.0000`	`-1161.33700000`
`prolog`	`0.0100`	`1.06218500`
`qp1`	`0.0600`	`0.00080932`
`qp2`	`0.0400`	`0.00080932`
`qp3`	`0.0200`	`0.00080932`
`qp4`	`0.0100`	`0.00080932`
`ramsey`	`0.0100`	`-2.48746900`
`rbrock`	`0.0100`	`0.00000000`
`robot100`	`0.2900`	`9.14268600`
`robot200`	`0.9000`	`9.14139500`
`robot400`	`2.9800`	`9.14102500`
`robot50`	`0.1300`	`9.14687400`
`rocket400`	`7.4600`	`-1.01283500`
`rocket50`	`0.4800`	`-1.01281700`
`sambal`	`0.0000`	`3.96822000`
`sample`	`0.0100`	`726.67940000`
`ship`	`0.0100`	`5.54091500`
`srcpm`	`0.0000`	`2109.78200000`
`st_bpaf1a`	`0.0000`	`-45.37971000`
`st_bpaf1b`	`0.0000`	`-42.96256000`
`st_bpk1`	`0.0100`	`-10.00000000`
`st_bpk2`	`0.0200`	`-10.00000000`
`st_bpv1`	`0.0000`	`10.00000000`
`st_bpv2`	`0.0000`	`0.00000000`
`st_bsj2`	`0.0100`	`1.00000000`
`st_bsj4`	`0.0000`	`-44347.05000000`
`st_cqpf`	`0.0000`	`-2.75000000`
`st_cqpjk1`	`0.0000`	`-12.44444000`
`st_e01`	`0.0000`	`-4.00000000`
`st_e03`	`0.0100`	`-1161.33700000`
`st_e04`	`0.0000`	`5194.86600000`
`st_e05`	`0.0100`	`7049.24800000`
`st_e06`	`0.0000`	`0.00000000`
`st_e07`	`0.0000`	`-400.00000000`
`st_e09`	`0.0000`	`0.00000000`
`st_e10`	`0.0000`	`-16.73889000`
`st_e11`	`0.0000`	`189.31160000`
`st_e12`	`0.0000`	`0.00000000`
`st_e19`	`0.0100`	`11.00000000`
`st_e20`	`0.0000`	`-0.38881140`
`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`	`0.0100`	`0.89019360`
`st_e26`	`0.0000`	`-185.77920000`
`st_e28`	`0.0000`	`-30665.54000000`
`st_e33`	`0.0100`	`-400.00000000`
`st_e34`	`0.0100`	`0.01561953`
`st_e37`	`0.0100`	`0.97913910`
`st_e39`	`0.0100`	`-5.06544000`
`st_e41`	`0.0000`	`641.82350000`
`st_e42`	`0.0000`	`18.78420000`
`st_fp1`	`0.0000`	`0.00000000`
`st_fp2`	`0.0100`	`-213.00000000`
`st_fp3`	`0.0000`	`-10.10938000`
`st_fp4`	`0.0100`	`-11.00000000`
`st_fp5`	`0.0000`	`-268.01460000`
`st_fp6`	`0.0100`	`-21.12500000`
`st_fp7a`	`0.0000`	`1.47958600`
`st_fp7b`	`0.0000`	`-499.77610000`
`st_fp7c`	`0.0100`	`-6012.66400000`
`st_fp7d`	`0.0000`	`6.55405400`
`st_fp7e`	`0.0100`	`12.75071000`
`st_fp8`	`0.0100`	`22088.00000000`
`st_glmp_fp1`	`0.0100`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`7.62750000`
`st_glmp_fp3`	`0.0000`	`0.00000000`
`st_glmp_kk90`	`0.0000`	`4.00000000`
`st_glmp_kk92`	`0.0000`	`0.00000000`
`st_glmp_kky`	`0.0100`	`1.50000000`
`st_glmp_ss1`	`0.0100`	`-24.57143000`
`st_glmp_ss2`	`0.0100`	`8.25000000`
`st_ht`	`0.0100`	`0.00000000`
`st_iqpbk1`	`0.0000`	`-621.48780000`
`st_iqpbk2`	`0.0000`	`-1195.22600000`
`st_jcbpaf2`	`0.0000`	`-794.85590000`
`st_jcbpafex`	`0.0000`	`-1.00000000`
`st_kr`	`0.0100`	`-68.00000000`
`st_m1`	`0.0000`	`-461356.90000000`
`st_m2`	`0.0100`	`-856648.80000000`
`st_pan1`	`0.0100`	`0.00000000`
`st_pan2`	`0.0100`	`0.00000000`
`st_ph10`	`0.0000`	`-10.50000000`
`st_ph11`	`0.0100`	`0.00000000`
`st_ph12`	`0.0000`	`0.00000000`
`st_ph13`	`0.0100`	`0.00000000`
`st_ph14`	`0.0000`	`-215.12500000`
`st_ph15`	`0.0000`	`0.00000000`
`st_ph1`	`0.0000`	`0.00000000`
`st_ph20`	`0.0100`	`-158.00000000`
`st_ph2`	`0.0000`	`0.00000000`
`st_ph3`	`0.0000`	`0.00000000`
`st_phex`	`0.0200`	`-68.00000000`
`st_qpc-m0`	`0.0000`	`0.00000000`
`st_qpc-m1`	`0.0000`	`-473.77780000`
`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`	`0.0200`	`0.00000000`
`st_qpk3`	`0.0100`	`0.00000000`
`st_rv1`	`0.0000`	`-59.90435000`
`st_rv2`	`0.0000`	`-64.48070000`
`st_rv3`	`0.0000`	`-35.76067000`
`st_rv7`	`0.0100`	`-118.15120000`
`st_rv8`	`0.0100`	`-132.66160000`
`st_rv9`	`0.0000`	`-114.61250000`
`st_z`	`0.0000`	`0.00000000`
`torsion100`	`32.0200`	`-0.41823920`
`torsion25`	`0.6400`	`-0.41751070`
`torsion50`	`4.5200`	`-0.41808760`
`torsion75`	`16.2800`	`-0.41819940`
`turkey`	`0.1500`	`-29330.16000000`
`wall`	`0.0000`	`1.00000500`
`weapons`	`0.0200`	`-1735.57000000`
`worst`	`0.0000`	`20762610.00000000`

CONOPT: feasible: Back to top

Modelname	Time (CONOPT)	Obj (CONOPT)
`ex6_2_14`	`0.0100`	`-0.54395500`
`rocket100`	`1.1400`	`-1.01282300`
`st_e17`	`0.0100`	`376.29190000`

CONOPT: infeasible: Back to top

Modelname	Time (CONOPT)	Status (CONOPT)
`arki0008`	`--`	`mstat( 5) sstat( 1)`
`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_14`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_4`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_5`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_8`	`--`	`mstat( 5) sstat( 1)`
`glider100`	`--`	`mstat( 5) sstat( 1)`
`glider200`	`--`	`mstat( 5) sstat( 1)`
`immun`	`--`	`mstat( 5) 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)`

CONOPT: unbounded: Back to top

Modelname	Time (CONOPT)	Status (CONOPT)
`ex8_2_1`	`0.1000`	`mstat( 3) sstat( 1)`
`ex8_2_2`	`2.3500`	`mstat( 3) sstat( 1)`
`ex8_2_3`	`4.0300`	`mstat( 3) sstat( 1)`
`st_bsj3`	`0.0000`	`mstat( 3) sstat( 1)`
`st_cqpjk2`	`0.0100`	`mstat( 3) sstat( 1)`

CONOPT: fail: Back to top

Modelname	Time (CONOPT)	Status (CONOPT)
`arki0012`	`--`	`mstat( 6) sstat( 4)`
`arki0014`	`--`	`mstat( 6) sstat( 4)`
`ex8_3_7`	`--`	`mstat( 6) sstat( 5)`
`glider400`	`--`	`mstat( 6) sstat( 4)`
`rocket200`	`--`	`mstat( 6) sstat( 4)`

IPOPT: optimal: Back to top

Modelname	Time (IPOPT)	Obj (IPOPT)
`qp5`	`0.0200`	`0.43146010`

IPOPT: locally optimal: Back to top

Modelname	Time (IPOPT)	Obj (IPOPT)
`abel`	`0.0000`	`225.19460000`
`alkyl`	`0.0100`	`-1.76500000`
`arki0001`	`0.0700`	`40.71288000`
`arki0002`	`0.0800`	`1.87252800`
`arki0003`	`100.0900`	`3795.20600000`
`arki0004`	`4.0100`	`323.46700000`
`arki0009`	`12.9900`	`-207096.40000000`
`arki0010`	`1.7400`	`-187908.60000000`
`arki0011`	`73.7700`	`-224086.50000000`
`arki0012`	`110.9500`	`-224252.20000000`
`arki0013`	`75.4200`	`-224252.80000000`
`arki0014`	`70.0500`	`-223976.90000000`
`arki0015`	`3.4000`	`-266.94070000`
`arki0016`	`0.9800`	`867.97320000`
`arki0017`	`0.6800`	`-121.83310000`
`arki0018`	`0.5100`	`0.01045662`
`arki0019`	`0.0900`	`-17.54533000`
`arki0020`	`0.1900`	`-41.07495000`
`arki0021`	`1.0200`	`-72.58210000`
`arki0022`	`1.7300`	`-87.09909000`
`arki0023`	`6.4900`	`-153.66010000`
`bearing`	`0.0200`	`1.95173300`
`camcge`	`0.0000`	`-191.73460000`
`camshape100`	`0.0600`	`-4.28414700`
`camshape200`	`0.1300`	`-4.27850000`
`camshape400`	`0.3200`	`-4.27561800`
`camshape800`	`0.5500`	`-4.27427400`
`catmix100`	`0.0200`	`-0.04806940`
`catmix200`	`0.0400`	`-0.04805912`
`catmix400`	`0.0800`	`-0.04805650`
`catmix800`	`0.1800`	`-0.04805590`
`chain100`	`0.0100`	`5.06978500`
`chain200`	`0.0200`	`5.06891700`
`chain25`	`0.0000`	`5.07226100`
`chain400`	`0.0400`	`5.06862200`
`chain50`	`0.0100`	`5.07226100`
`chakra`	`0.0100`	`-179.13360000`
`chance`	`0.0100`	`29.89438000`
`chem`	`0.0200`	`-47.70651000`
`chenery`	`0.0200`	`-1058.92000000`
`circle`	`0.0100`	`4.57424800`
`demo7`	`0.0200`	`-1589042.00000000`
`dispatch`	`0.0100`	`3155.28800000`
`elec100`	`107.5300`	`4448.35100000`
`elec200`	`1328.8000`	`18439.27000000`
`elec25`	`0.2500`	`243.81280000`
`elec50`	`3.6400`	`1055.18200000`
`etamac`	`0.0100`	`-15.29468000`
`ex14_1_1`	`0.0100`	`0.00000000`
`ex14_1_2`	`0.0300`	`0.00000000`
`ex14_1_3`	`0.0200`	`0.00000000`
`ex14_1_4`	`0.0200`	`0.00000019`
`ex14_1_5`	`0.0100`	`0.00000000`
`ex14_1_6`	`0.0200`	`1.00000000`
`ex14_1_7`	`0.0300`	`7.02403400`
`ex14_1_8`	`0.0100`	`0.04141598`
`ex14_1_9`	`0.0100`	`0.00000001`
`ex14_2_1`	`0.0000`	`0.00000024`
`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`	`0.00000001`
`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_10`	`0.0200`	`49318.02000000`
`ex2_1_1`	`0.0100`	`-17.00000000`
`ex2_1_2`	`0.0100`	`-213.00000000`
`ex2_1_3`	`0.0100`	`-15.00000000`
`ex2_1_4`	`0.0100`	`-11.00000000`
`ex2_1_5`	`0.0100`	`-268.01460000`
`ex2_1_6`	`0.0100`	`-39.00000000`
`ex2_1_7`	`0.0000`	`-4150.41000000`
`ex2_1_8`	`0.0400`	`18740.35000000`
`ex2_1_9`	`0.0100`	`-0.37500000`
`ex3_1_1`	`0.0100`	`7049.24800000`
`ex3_1_2`	`0.0100`	`-30665.54000000`
`ex3_1_3`	`0.0000`	`-310.00000000`
`ex3_1_4`	`0.0000`	`-4.00000000`
`ex4_1_1`	`0.0200`	`-0.51997810`
`ex4_1_2`	`0.0000`	`-663.50010000`
`ex4_1_3`	`0.0000`	`-443.67170000`
`ex4_1_4`	`0.0100`	`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`	`-16.73889000`
`ex4_1_9`	`0.0100`	`-5.50801300`
`ex5_2_2_case1`	`0.0300`	`-100.00000000`
`ex5_2_2_case2`	`0.0200`	`-400.00000000`
`ex5_2_2_case3`	`0.0300`	`-125.00000000`
`ex5_2_4`	`0.0200`	`-450.00000000`
`ex5_2_5`	`0.1600`	`-3500.00000000`
`ex5_3_2`	`0.0200`	`1.86415900`
`ex5_4_2`	`0.0200`	`7512.23000000`
`ex5_4_3`	`0.0500`	`5937.43700000`
`ex5_4_4`	`0.0400`	`11841.61000000`
`ex6_1_1`	`0.0100`	`-0.02019831`
`ex6_1_2`	`0.0000`	`-0.03246375`
`ex6_1_3`	`0.0100`	`-0.35249780`
`ex6_1_4`	`0.0100`	`-0.29454130`
`ex6_2_10`	`0.0100`	`-3.05197600`
`ex6_2_11`	`0.0000`	`-0.00000267`
`ex6_2_12`	`0.0000`	`0.28919470`
`ex6_2_13`	`0.0000`	`-0.21620940`
`ex6_2_14`	`0.0100`	`-0.69535790`
`ex6_2_5`	`0.0200`	`-70.75208000`
`ex6_2_6`	`0.0000`	`0.00000071`
`ex6_2_7`	`0.0000`	`-0.16084760`
`ex6_2_8`	`0.0000`	`-0.02700635`
`ex6_2_9`	`0.0100`	`-0.03406618`
`ex7_2_1`	`0.0200`	`1227.22600000`
`ex7_2_2`	`0.0100`	`-0.38881140`
`ex7_2_3`	`0.0200`	`7049.24800000`
`ex7_2_4`	`0.0100`	`3.91801000`
`ex7_3_1`	`0.0200`	`0.34173960`
`ex7_3_2`	`0.0200`	`1.08986400`
`ex7_3_3`	`0.0100`	`1.14478000`
`ex7_3_4`	`0.0200`	`8.46047200`
`ex7_3_5`	`0.0200`	`1.20689700`
`ex8_1_1`	`0.0100`	`-2.02180700`
`ex8_1_2`	`0.0100`	`-1.03962700`
`ex8_1_3`	`0.0100`	`30.00000000`
`ex8_1_4`	`0.0000`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.00000000`
`ex8_1_6`	`0.0100`	`-5.06544000`
`ex8_1_7`	`0.0200`	`0.02931083`
`ex8_1_8`	`0.0100`	`-0.38881140`
`ex8_3_10`	`0.3600`	`-1.31932600`
`ex8_3_11`	`0.2800`	`-0.79957190`
`ex8_3_12`	`0.4400`	`-0.99059470`
`ex8_3_13`	`0.0300`	`0.00000471`
`ex8_3_14`	`0.8800`	`-2.49863900`
`ex8_3_1`	`0.2700`	`-0.81959030`
`ex8_3_2`	`0.1200`	`-0.00115851`
`ex8_3_3`	`0.0400`	`-0.33303460`
`ex8_3_4`	`0.4600`	`-3.57998200`
`ex8_3_5`	`0.0800`	`-0.06265083`
`ex8_3_6`	`0.0500`	`-0.50000000`
`ex8_3_8`	`0.2500`	`-3.25611900`
`ex8_3_9`	`0.0100`	`-0.74161980`
`ex8_4_1`	`0.0100`	`0.61857280`
`ex8_4_2`	`0.0100`	`0.48515250`
`ex8_4_3`	`0.0100`	`0.00464972`
`ex8_4_4`	`0.0100`	`0.21245980`
`ex8_4_5`	`0.0100`	`0.00122530`
`ex8_4_6`	`0.0900`	`0.65896430`
`ex8_4_7`	`0.0200`	`29.04731000`
`ex8_4_8`	`0.0900`	`3.32184700`
`ex8_5_1`	`0.0100`	`-0.00000042`
`ex8_5_2`	`0.0300`	`-0.00000001`
`ex8_5_3`	`0.0100`	`0.00004093`
`ex8_5_4`	`0.0100`	`-0.00042515`
`ex8_5_5`	`0.0000`	`0.00000067`
`ex8_5_6`	`0.0000`	`0.00000099`
`ex8_6_1`	`0.1000`	`-28.42253000`
`ex8_6_2`	`0.1300`	`-31.68816000`
`ex9_1_10`	`0.0400`	`-3.25000000`
`ex9_1_1`	`0.0300`	`-13.00000000`
`ex9_1_2`	`0.0200`	`-16.00000000`
`ex9_1_4`	`0.0400`	`-37.00000000`
`ex9_1_5`	`0.0200`	`4.00000000`
`ex9_1_8`	`0.0400`	`-3.25000000`
`ex9_2_1`	`0.0400`	`42.49383000`
`ex9_2_2`	`0.0500`	`100.00000000`
`ex9_2_3`	`0.0300`	`5.00000000`
`ex9_2_4`	`0.0100`	`0.50000000`
`ex9_2_5`	`0.0200`	`9.80000000`
`ex9_2_6`	`0.0300`	`3.00000000`
`ex9_2_7`	`0.0400`	`42.49383000`
`ex9_2_8`	`0.0100`	`1.50000000`
`flowchan100`	`0.0500`	`0.00000000`
`flowchan200`	`0.1000`	`0.00000000`
`flowchan400`	`0.2000`	`0.00000000`
`flowchan50`	`0.0300`	`0.00000000`
`ganges`	`0.0200`	`-6395.54400000`
`gangesx`	`0.0200`	`-6395.54400000`
`gasoil100`	`0.2100`	`0.00523659`
`gasoil200`	`0.4100`	`0.00523660`
`gasoil400`	`1.1900`	`0.00523660`
`gasoil50`	`0.0800`	`0.00523664`
`glider100`	`207.2600`	`-262.54450000`
`glider200`	`341.4600`	`-320.38540000`
`glider400`	`3384.5800`	`-250.00000000`
`gtm`	`0.0200`	`543.56510000`
`harker`	`0.0000`	`-986.51350000`
`haverly`	`0.0200`	`-100.00000000`
`hhfair`	`0.0100`	`-87.15904000`
`himmel11`	`0.0200`	`-30665.54000000`
`himmel16`	`0.0200`	`-0.67498130`
`house`	`0.0100`	`-4500.00000000`
`hydro`	`0.0100`	`4366944.00000000`
`immun`	`0.0100`	`0.00000000`
`infeas1`	`0.5200`	`13685.60000000`
`jbearing100`	`4.6100`	`-0.15504110`
`jbearing25`	`0.4400`	`-0.15401550`
`jbearing50`	`1.3200`	`-0.15482380`
`jbearing75`	`2.9000`	`-0.15498450`
`korcge`	`0.0100`	`-339.21300000`
`launch`	`0.0300`	`2257.79800000`
`least`	`0.0000`	`14085.14000000`
`like`	`0.0100`	`1138.41100000`
`lnts100`	`0.0300`	`0.55459540`
`lnts200`	`0.0500`	`0.55457700`
`lnts400`	`0.1100`	`0.55457240`
`lnts50`	`0.0400`	`0.55466880`
`meanvar`	`0.0100`	`5.24339900`
`methanol100`	`0.2800`	`0.00902230`
`methanol200`	`3.3900`	`0.00902233`
`methanol400`	`4.4000`	`0.00902229`
`methanol50`	`0.0900`	`0.00902229`
`mhw4d`	`0.0000`	`27.87191000`
`minlphi`	`0.7600`	`582.23610000`
`minsurf100`	`6.2200`	`2.50695500`
`minsurf25`	`0.4600`	`2.51949300`
`minsurf50`	`1.6400`	`2.51490300`
`minsurf75`	`10.2400`	`2.50571400`
`nemhaus`	`0.0000`	`31.00000000`
`otpop`	`0.0200`	`0.00000000`
`pindyck`	`0.0200`	`-1170.48600000`
`pinene100`	`0.2100`	`19.87217000`
`pinene200`	`0.5300`	`19.87217000`
`pinene25`	`0.0900`	`19.87217000`
`pinene50`	`0.1000`	`19.87217000`
`pollut`	`0.0200`	`-5353269.00000000`
`polygon100`	`3.8200`	`-0.78505630`
`polygon25`	`0.0700`	`-0.77974050`
`polygon50`	`0.8300`	`-0.78213270`
`polygon75`	`3.1000`	`-0.78446380`
`popdynm100`	`0.3100`	`19746.53000000`
`popdynm200`	`0.9500`	`19746.53000000`
`popdynm25`	`0.1400`	`19752.22000000`
`popdynm50`	`0.1300`	`19746.55000000`
`process`	`0.0000`	`-1161.33700000`
`prolog`	`0.0300`	`0.00000000`
`qp1`	`0.0600`	`0.00081267`
`qp2`	`0.0300`	`0.00081267`
`qp3`	`0.0300`	`0.00080955`
`qp4`	`0.0200`	`0.00081306`
`ramsey`	`0.0100`	`-2.48746300`
`rbrock`	`0.0200`	`0.00000000`
`robot200`	`0.3900`	`9.14139700`
`robot400`	`0.9400`	`9.14116100`
`rocket100`	`3.0500`	`-1.01283200`
`rocket200`	`18.7900`	`-1.01283500`
`rocket400`	`140.4200`	`-1.01283700`
`rocket50`	`0.2700`	`-1.01281700`
`sambal`	`0.0000`	`3.96822000`
`sample`	`0.0100`	`726.67940000`
`ship`	`0.0100`	`5.54091500`
`srcpm`	`0.0200`	`2109.78200000`
`st_bpaf1a`	`0.0200`	`-45.37971000`
`st_bpaf1b`	`0.0100`	`-42.96256000`
`st_bpk1`	`0.0200`	`-10.00000000`
`st_bpk2`	`0.0200`	`-10.00000000`
`st_bpv1`	`0.0000`	`10.00000000`
`st_bpv2`	`0.0000`	`0.00000000`
`st_bsj2`	`0.0100`	`1.17659300`
`st_bsj3`	`0.0100`	`-86768.55000000`
`st_bsj4`	`0.0200`	`-67612.05000000`
`st_cqpf`	`0.0100`	`-2.75000000`
`st_cqpjk1`	`0.0100`	`-12.44444000`
`st_cqpjk2`	`0.0000`	`-12.50000000`
`st_e01`	`0.0100`	`-6.66666700`
`st_e03`	`0.0200`	`-1161.33700000`
`st_e04`	`0.0200`	`5194.86600000`
`st_e05`	`0.0200`	`7049.24900000`
`st_e06`	`0.0000`	`0.00000000`
`st_e07`	`0.0200`	`-400.00000000`
`st_e08`	`0.0000`	`0.74178200`
`st_e09`	`0.0100`	`-0.50000000`
`st_e10`	`0.0000`	`-16.73889000`
`st_e16`	`0.0200`	`12292.47000000`
`st_e17`	`0.0100`	`376.29190000`
`st_e18`	`0.0100`	`-2.82842700`
`st_e19`	`0.0100`	`-86.42221000`
`st_e20`	`0.0000`	`-0.38881140`
`st_e22`	`0.0100`	`-85.00000000`
`st_e23`	`0.0100`	`-1.08333300`
`st_e24`	`0.0200`	`3.00000000`
`st_e25`	`0.0100`	`0.89019440`
`st_e26`	`0.0100`	`-185.77920000`
`st_e28`	`0.0100`	`-30665.54000000`
`st_e33`	`0.0200`	`-400.00000000`
`st_e34`	`0.0000`	`0.01562084`
`st_e37`	`0.0100`	`0.00104172`
`st_e39`	`0.0100`	`-5.06544000`
`st_e41`	`0.0000`	`647.78210000`
`st_e42`	`0.0100`	`18.78420000`
`st_fp1`	`0.0000`	`0.00000000`
`st_fp2`	`0.0000`	`-213.00000000`
`st_fp3`	`0.0100`	`-15.00000000`
`st_fp4`	`0.0000`	`-11.00000000`
`st_fp5`	`0.0200`	`-268.01460000`
`st_fp6`	`0.0200`	`-21.69136000`
`st_fp7a`	`0.0000`	`1.47958600`
`st_fp7b`	`0.0600`	`-455.70300000`
`st_fp7c`	`0.0800`	`-5311.45800000`
`st_fp7d`	`0.0200`	`6.55405500`
`st_fp7e`	`0.1100`	`-2901.90900000`
`st_fp8`	`0.0400`	`15990.00000000`
`st_glmp_fp1`	`0.0100`	`20.00000000`
`st_glmp_fp2`	`0.0200`	`7.34454500`
`st_glmp_fp3`	`0.0100`	`-9.00000000`
`st_glmp_kk90`	`0.0100`	`3.00000000`
`st_glmp_kk92`	`0.0300`	`-9.00000000`
`st_glmp_kky`	`0.0100`	`-2.50000000`
`st_glmp_ss1`	`0.0100`	`-24.57143000`
`st_glmp_ss2`	`0.0000`	`3.00000000`
`st_ht`	`0.0000`	`0.00000000`
`st_iqpbk1`	`0.0300`	`-621.48780000`
`st_iqpbk2`	`0.0300`	`-1195.22600000`
`st_jcbpaf2`	`0.0400`	`-388.34910000`
`st_jcbpafex`	`0.0000`	`-1.08333300`
`st_kr`	`0.0100`	`-85.00000000`
`st_m1`	`0.0100`	`-461356.90000000`
`st_m2`	`0.0200`	`-856648.80000000`
`st_pan1`	`0.0000`	`0.00000002`
`st_pan2`	`0.0000`	`0.00000000`
`st_ph10`	`0.0000`	`-10.50000000`
`st_ph11`	`0.0000`	`0.00000000`
`st_ph12`	`0.0100`	`-22.62500000`
`st_ph13`	`0.0000`	`0.00000000`
`st_ph14`	`0.0100`	`-229.72220000`
`st_ph15`	`0.0100`	`-392.70370000`
`st_ph1`	`0.0100`	`0.00000000`
`st_ph20`	`0.0200`	`-158.00000000`
`st_ph2`	`0.0300`	`-932.85950000`
`st_ph3`	`0.0200`	`-420.23480000`
`st_phex`	`0.0100`	`-85.00000000`
`st_qpc-m0`	`0.0100`	`-5.00000000`
`st_qpc-m1`	`0.0200`	`-473.77780000`
`st_qpc-m3a`	`0.0200`	`-242.19910000`
`st_qpc-m3b`	`0.0100`	`0.00000000`
`st_qpc-m3c`	`0.0100`	`0.00000000`
`st_qpc-m4`	`0.0100`	`0.00000000`
`st_qpk1`	`0.0100`	`0.00000000`
`st_qpk2`	`0.0300`	`-12.25000000`
`st_qpk3`	`0.0400`	`-32.08743000`
`st_rv1`	`0.0000`	`-59.90434000`
`st_rv2`	`0.0200`	`-62.56135000`
`st_rv3`	`0.0200`	`-35.76067000`
`st_rv7`	`0.0100`	`-138.18750000`
`st_rv8`	`0.0200`	`-132.66160000`
`st_rv9`	`0.4300`	`-117.40490000`
`st_z`	`0.0100`	`0.00000000`
`torsion100`	`8.9100`	`-0.41823920`
`torsion25`	`0.6500`	`-0.41751070`
`torsion50`	`2.4400`	`-0.41808760`
`torsion75`	`5.3600`	`-0.41819940`
`turkey`	`0.4200`	`-29330.15000000`
`wall`	`0.0000`	`1.00000500`
`weapons`	`0.0200`	`-1735.57000000`
`worst`	`0.0000`	`20762610.00000000`

IPOPT: feasible: Back to top

Modelname	Time (IPOPT)	Obj (IPOPT)
`ex5_3_3`	`0.3100`	`3.56417100`
`ex8_3_7`	`1.1900`	`-0.98560310`
`st_e11`	`0.0200`	`189.31160000`
`st_e12`	`0.0100`	`0.09321433`
`st_e21`	`0.0200`	`0.00124228`

IPOPT: infeasible: Back to top

Modelname	Time (IPOPT)	Status (IPOPT)
`ex7_3_6`	`--`	`mstat( 5) sstat( 1)`
`ex8_2_4`	`--`	`mstat( 5) sstat( 1)`
`glider50`	`--`	`mstat( 5) sstat( 1)`
`st_e02`	`--`	`mstat( 5) sstat( 1)`
`st_e30`	`--`	`mstat( 5) sstat( 1)`
`st_robot`	`--`	`mstat( 5) sstat( 1)`

IPOPT: unbounded: Back to top

Modelname	Time (IPOPT)	Status (IPOPT)
`ex8_2_1`	`0.1400`	`mstat( 3) sstat( 1)`
`robot50`	`2037.2400`	`mstat( 3) sstat( 1)`

IPOPT: fail: Back to top

Modelname	Time (IPOPT)	Status (IPOPT)
`arki0008`	`--`	`mstat( 6) sstat( 3)`
`ex8_2_2`	`--`	`mstat( 6) sstat( 3)`
`ex8_2_3`	`--`	`mstat( 6) sstat( 3)`
`robot100`	`--`	`mstat( 6) sstat( 3)`

IPOPT: no data: Back to top

Modelname	Time (IPOPT)	Status (IPOPT)
`arki0007`	`--`	`--`