Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 11/20/09 15:35:10 using the PAVER Server/Performance tools available at http://www.gamsworld.eu/performance/paver

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 MINOS is represented on the left (rows) and solver SNOPT 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.

Input File Number	Filename
Tracefile 1:	MINOS-1.trc
Tracefile 2:	SNOPT-1.trc
Solvers used :	MINOS
	SNOPT
Modeltype(s)	`NLP`

	SNOPT: optimal	SNOPT: locally optimal	SNOPT: feasible	SNOPT: infeasible	SNOPT: unbounded	SNOPT: fail	SNOPT: no data	total MINOS
MINOS: optimal	-	-	-	-	-	-	-	`-`
MINOS: locally optimal	-	`61`	`2`	`1`	-	-	-	`64`
MINOS: feasible	-	`5`	`1`	-	-	`1`	-	`7`
MINOS: infeasible	-	`3`	`2`	`2`	-	-	-	`7`
MINOS: unbounded	-	`1`	-	`1`	-	`1`	-	`3`
MINOS: fail	-	-	-	-	-	-	-	`-`
MINOS: no data	-	-	-	-	-	-	-	`-`
total SNOPT	`-`	`70`	`5`	`4`	`-`	`2`	`-`	`81`

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.

MINOS: locally optimal -- SNOPT: locally optimal

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Obj (SNOPT)
`arki0002`	`1.2400`	`154.4600`	`0.008`	`1.07456972`	`1.09249984`
`arki0003`	`3.3000`	`1.4500`	`2.276`	`3795.20606795`	`3795.20606780`
`arki0004`	`6.7100`	`0.4100`	`16.366`	`327.73301341`	`323.46703883`
`arki0011`	`21.8300`	`401.7400`	`0.054`	`-224086.46003866`	`-224086.45991302`
`arki0013`	`667.5800`	`1709.7900`	`0.390`	`-224253.08537293`	`-224253.08921947`
`arki0014`	`891.0000`	`3504.7300`	`0.254`	`-223977.09258700`	`-223977.09382739`
`arki0015`	`2.2900`	`3.6100`	`0.634`	`-272.29977889`	`-272.29977820`
`arki0020`	`8.0200`	`22.2700`	`0.360`	`-41.07495436`	`-41.07495436`
`arki0021`	`102.6800`	`89.1400`	`1.152`	`-72.58210091`	`-72.58210091`
`arki0022`	`209.8600`	`110.2400`	`1.904`	`-87.09909127`	`-87.09909127`
`catmix100`	`0.3500`	`0.1600`	`2.188`	`-0.04806941`	`-0.04806940`
`catmix200`	`0.5100`	`0.7000`	`0.729`	`-0.04805911`	`-0.04805914`
`catmix400`	`0.6400`	`2.4800`	`0.258`	`-0.04805650`	`-0.04805655`
`catmix800`	`1.3100`	`10.7000`	`0.122`	`-0.04805585`	`-0.04805590`
`chain400`	`1.7900`	`7.0200`	`0.255`	`5.06862169`	`5.06862169`
`ex8_2_2a`	`20.3200`	`92.3800`	`0.220`	`-552.64233450`	`-552.65761566`
`ex8_2_2b`	`3.8400`	`6.7000`	`0.573`	`-551.59187004`	`-551.76977942`
`ex8_2_3b`	`21.3000`	`22.1800`	`0.960`	`-3730.72296914`	`-3730.72924954`
`ex8_2_5a`	`15.4300`	`184.5500`	`0.084`	`-830.33207881`	`-830.33802832`
`ex8_2_5b`	`3.0200`	`6.6800`	`0.452`	`-829.34539826`	`-830.07940808`
`flowchan100`	`0.0200`	`0.3200`	`0.063`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0800`	`1.0600`	`0.075`	`0.00000000`	`0.00000000`
`flowchan400`	`0.3000`	`3.2800`	`0.091`	`0.00000000`	`0.00000000`
`gasoil100`	`0.3500`	`0.4900`	`0.714`	`0.00523659`	`0.00523659`
`gasoil200`	`1.3100`	`1.4800`	`0.885`	`0.00523660`	`0.00523660`
`gasoil400`	`4.8200`	`6.6200`	`0.728`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1400`	`0.2200`	`0.636`	`0.00523664`	`0.00523664`
`jbearing100`	`89.8700`	`40.2300`	`2.234`	`-0.15504196`	`-0.15504196`
`jbearing25`	`2.3200`	`6.6600`	`0.348`	`-0.15401554`	`-0.15401554`
`jbearing50`	`13.9200`	`29.9100`	`0.465`	`-0.15482422`	`-0.15482422`
`jbearing75`	`43.6100`	`26.7100`	`1.633`	`-0.15498453`	`-0.15498453`
`lnts100`	`0.1800`	`0.3600`	`0.500`	`0.55459540`	`0.55459540`
`lnts200`	`0.7200`	`1.4300`	`0.503`	`0.55457702`	`0.55457702`
`lnts400`	`3.1900`	`6.3600`	`0.502`	`0.55457241`	`0.55457241`
`methanol100`	`0.8000`	`0.8500`	`0.941`	`0.00902229`	`0.00902229`
`methanol200`	`2.4700`	`2.4800`	`0.996`	`0.00902229`	`0.00902229`
`methanol400`	`7.1500`	`8.4000`	`0.851`	`0.00902229`	`0.00902229`
`methanol50`	`0.3200`	`0.3500`	`0.914`	`0.00902229`	`0.00902229`
`minsurf100`	`168.5400`	`295.6700`	`0.570`	`2.50694926`	`2.50694926`
`minsurf25`	`2.9100`	`5.4600`	`0.533`	`2.51948768`	`2.51948768`
`minsurf50`	`19.4000`	`67.8900`	`0.286`	`2.51488916`	`2.51488916`
`minsurf75`	`72.1900`	`152.5700`	`0.473`	`2.50568648`	`2.50568648`
`pinene100`	`0.8000`	`2.3000`	`0.348`	`19.87217013`	`19.87217014`
`pinene200`	`3.5900`	`10.5100`	`0.342`	`19.87216686`	`19.87216684`
`pinene25`	`0.2400`	`1.0000`	`0.240`	`19.87216552`	`19.87216552`
`pinene50`	`0.2400`	`0.9800`	`0.245`	`19.87216552`	`19.87216552`
`polygon100`	`15.0200`	`20.7200`	`0.725`	`-0.67908505`	`-0.78503127`
`polygon25`	`0.0600`	`0.0300`	`2.000`	`-0.75541069`	`-0.77973670`
`polygon50`	`0.9200`	`1.5000`	`0.613`	`-0.77264788`	`-0.78401305`
`polygon75`	`1.9000`	`5.1400`	`0.370`	`-0.77115682`	`-0.78478846`
`robot100`	`0.3800`	`0.8200`	`0.463`	`9.14268538`	`9.14268538`
`robot200`	`1.1400`	`15.2600`	`0.075`	`9.14139550`	`9.14139550`
`robot400`	`4.7200`	`44.6300`	`0.106`	`9.14102603`	`9.14102603`
`robot50`	`0.1200`	`0.1600`	`0.750`	`9.14687850`	`9.14687850`
`rocket100`	`0.7000`	`0.6700`	`1.045`	`-1.01283197`	`-1.01283202`
`rocket200`	`1.4800`	`2.9800`	`0.497`	`-1.01283556`	`-1.01283569`
`rocket400`	`4.2200`	`9.2400`	`0.457`	`-1.01283628`	`-1.01283661`
`torsion100`	`97.2000`	`19.1900`	`5.065`	`-0.41823921`	`-0.41823921`
`torsion25`	`1.4200`	`1.4500`	`0.979`	`-0.41751073`	`-0.41751073`
`torsion50`	`11.8200`	`12.9000`	`0.916`	`-0.41808763`	`-0.41808763`
`torsion75`	`40.8000`	`12.3000`	`3.317`	`-0.41819940`	`-0.41819940`

MINOS: locally optimal -- SNOPT: feasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Obj (SNOPT)
`arki0012`	`717.8400`	`3600.2200`	`0.199`	`-224252.44444071`	`-224171.55016260`
`arki0023`	`1592.1400`	`81.0700`	`19.639`	`-153.66007775`	`-153.41732339`

MINOS: locally optimal -- SNOPT: infeasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Status (SNOPT)
`infeas1`	`0.2800`	`0.0200`	---	`13685.59646104`	`mstat( 4)sstat( 1)`

MINOS: feasible -- SNOPT: locally optimal

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Obj (SNOPT)
`ex8_2_3a`	`1.7100`	`48.3600`	`0.035`	`-3282.93488482`	`-3731.07809337`
`popdynm100`	`0.9400`	`1.9300`	`0.487`	`19746.52860217`	`19746.52860217`
`popdynm200`	`2.9800`	`5.9600`	`0.500`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.1400`	`0.3100`	`0.452`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.3500`	`1.0300`	`0.340`	`19746.54515628`	`19746.54515628`

MINOS: feasible -- SNOPT: feasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Obj (SNOPT)
`arki0018`	`3600.2600`	`40.2800`	`89.381`	`0.01045871`	`0.01197639`

MINOS: feasible -- SNOPT: fail

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Status (SNOPT)
`arki0016`	`0.7400`	`NA`	---	`1490.79918829`	`mstat(13)sstat(13)`

MINOS: infeasible -- SNOPT: locally optimal

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Obj (SNOPT)
`camshape400`	`0.1400`	`0.1100`	---	`mstat( 5)sstat( 1)`	`-4.27568692`
`camshape800`	`0.2200`	`0.4300`	---	`mstat( 5)sstat( 1)`	`-4.27427301`
`glider50`	`0.1600`	`55.3500`	---	`mstat( 5)sstat( 1)`	`-1286.97737315`

MINOS: infeasible -- SNOPT: feasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Obj (SNOPT)
`arki0017`	`1.8400`	`1680.0100`	---	`mstat( 5)sstat( 1)`	`-121.83308010`
`glider400`	`1.8400`	`3600.0000`	---	`mstat( 5)sstat( 1)`	`-254.82412037`

MINOS: infeasible -- SNOPT: infeasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Status (SNOPT)
`glider100`	`0.2600`	`1.2200`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider200`	`0.5700`	`1.8000`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

MINOS: unbounded -- SNOPT: locally optimal

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Obj (SNOPT)
`elec200`	`82.4800`	`11.7800`	---	`mstat( 3)sstat( 1)`	`18438.99267601`

MINOS: unbounded -- SNOPT: infeasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Status (SNOPT)
`arki0008`	`8.3100`	`7.4400`	---	`mstat( 3)sstat( 1)`	`mstat( 5)sstat( 1)`

MINOS: unbounded -- SNOPT: fail

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Status (SNOPT)
`ex8_2_2`	`0.2300`	`NA`	---	`mstat( 3)sstat( 1)`	`mstat(13)sstat(13)`

MINOS: locally optimal:

Modelname	Time (MINOS)	Obj (MINOS)
`arki0002`	`1.2400`	`1.07456972`
`arki0003`	`3.3000`	`3795.20606795`
`arki0004`	`6.7100`	`327.73301341`
`arki0011`	`21.8300`	`-224086.46003866`
`arki0012`	`717.8400`	`-224252.44444071`
`arki0013`	`667.5800`	`-224253.08537293`
`arki0014`	`891.0000`	`-223977.09258700`
`arki0015`	`2.2900`	`-272.29977889`
`arki0020`	`8.0200`	`-41.07495436`
`arki0021`	`102.6800`	`-72.58210091`
`arki0022`	`209.8600`	`-87.09909127`
`arki0023`	`1592.1400`	`-153.66007775`
`catmix100`	`0.3500`	`-0.04806941`
`catmix200`	`0.5100`	`-0.04805911`
`catmix400`	`0.6400`	`-0.04805650`
`catmix800`	`1.3100`	`-0.04805585`
`chain400`	`1.7900`	`5.06862169`
`ex8_2_2a`	`20.3200`	`-552.64233450`
`ex8_2_2b`	`3.8400`	`-551.59187004`
`ex8_2_3b`	`21.3000`	`-3730.72296914`
`ex8_2_5a`	`15.4300`	`-830.33207881`
`ex8_2_5b`	`3.0200`	`-829.34539826`
`flowchan100`	`0.0200`	`0.00000000`
`flowchan200`	`0.0800`	`0.00000000`
`flowchan400`	`0.3000`	`0.00000000`
`gasoil100`	`0.3500`	`0.00523659`
`gasoil200`	`1.3100`	`0.00523660`
`gasoil400`	`4.8200`	`0.00523660`
`gasoil50`	`0.1400`	`0.00523664`
`infeas1`	`0.2800`	`13685.59646104`
`jbearing100`	`89.8700`	`-0.15504196`
`jbearing25`	`2.3200`	`-0.15401554`
`jbearing50`	`13.9200`	`-0.15482422`
`jbearing75`	`43.6100`	`-0.15498453`
`lnts100`	`0.1800`	`0.55459540`
`lnts200`	`0.7200`	`0.55457702`
`lnts400`	`3.1900`	`0.55457241`
`methanol100`	`0.8000`	`0.00902229`
`methanol200`	`2.4700`	`0.00902229`
`methanol400`	`7.1500`	`0.00902229`
`methanol50`	`0.3200`	`0.00902229`
`minsurf100`	`168.5400`	`2.50694926`
`minsurf25`	`2.9100`	`2.51948768`
`minsurf50`	`19.4000`	`2.51488916`
`minsurf75`	`72.1900`	`2.50568648`
`pinene100`	`0.8000`	`19.87217013`
`pinene200`	`3.5900`	`19.87216686`
`pinene25`	`0.2400`	`19.87216552`
`pinene50`	`0.2400`	`19.87216552`
`polygon100`	`15.0200`	`-0.67908505`
`polygon25`	`0.0600`	`-0.75541069`
`polygon50`	`0.9200`	`-0.77264788`
`polygon75`	`1.9000`	`-0.77115682`
`robot100`	`0.3800`	`9.14268538`
`robot200`	`1.1400`	`9.14139550`
`robot400`	`4.7200`	`9.14102603`
`robot50`	`0.1200`	`9.14687850`
`rocket100`	`0.7000`	`-1.01283197`
`rocket200`	`1.4800`	`-1.01283556`
`rocket400`	`4.2200`	`-1.01283628`
`torsion100`	`97.2000`	`-0.41823921`
`torsion25`	`1.4200`	`-0.41751073`
`torsion50`	`11.8200`	`-0.41808763`
`torsion75`	`40.8000`	`-0.41819940`

MINOS: feasible:

Modelname	Time (MINOS)	Obj (MINOS)
`arki0016`	`0.7400`	`1490.79918829`
`arki0018`	`3600.2600`	`0.01045871`
`ex8_2_3a`	`1.7100`	`-3282.93488482`
`popdynm100`	`0.9400`	`19746.52860217`
`popdynm200`	`2.9800`	`19746.52964660`
`popdynm25`	`0.1400`	`19752.21541511`
`popdynm50`	`0.3500`	`19746.54515628`

MINOS: infeasible:

Modelname	Time (MINOS)	Status (MINOS)
`arki0017`	`--`	`mstat( 5) sstat( 1)`
`camshape400`	`--`	`mstat( 5) sstat( 1)`
`camshape800`	`--`	`mstat( 5) sstat( 1)`
`glider100`	`--`	`mstat( 5) sstat( 1)`
`glider200`	`--`	`mstat( 5) sstat( 1)`
`glider400`	`--`	`mstat( 5) sstat( 1)`
`glider50`	`--`	`mstat( 5) sstat( 1)`

MINOS: unbounded:

Modelname	Time (MINOS)	Status (MINOS)
`arki0008`	`8.3100`	`mstat( 3) sstat( 1)`
`elec200`	`82.4800`	`mstat( 3) sstat( 1)`
`ex8_2_2`	`0.2300`	`mstat( 3) sstat( 1)`

SNOPT: locally optimal:

Modelname	Time (SNOPT)	Obj (SNOPT)
`arki0002`	`154.4600`	`1.09249984`
`arki0003`	`1.4500`	`3795.20606780`
`arki0004`	`0.4100`	`323.46703883`
`arki0011`	`401.7400`	`-224086.45991302`
`arki0013`	`1709.7900`	`-224253.08921947`
`arki0014`	`3504.7300`	`-223977.09382739`
`arki0015`	`3.6100`	`-272.29977820`
`arki0020`	`22.2700`	`-41.07495436`
`arki0021`	`89.1400`	`-72.58210091`
`arki0022`	`110.2400`	`-87.09909127`
`camshape400`	`0.1100`	`-4.27568692`
`camshape800`	`0.4300`	`-4.27427301`
`catmix100`	`0.1600`	`-0.04806940`
`catmix200`	`0.7000`	`-0.04805914`
`catmix400`	`2.4800`	`-0.04805655`
`catmix800`	`10.7000`	`-0.04805590`
`chain400`	`7.0200`	`5.06862169`
`elec200`	`11.7800`	`18438.99267601`
`ex8_2_2a`	`92.3800`	`-552.65761566`
`ex8_2_2b`	`6.7000`	`-551.76977942`
`ex8_2_3a`	`48.3600`	`-3731.07809337`
`ex8_2_3b`	`22.1800`	`-3730.72924954`
`ex8_2_5a`	`184.5500`	`-830.33802832`
`ex8_2_5b`	`6.6800`	`-830.07940808`
`flowchan100`	`0.3200`	`0.00000000`
`flowchan200`	`1.0600`	`0.00000000`
`flowchan400`	`3.2800`	`0.00000000`
`gasoil100`	`0.4900`	`0.00523659`
`gasoil200`	`1.4800`	`0.00523660`
`gasoil400`	`6.6200`	`0.00523660`
`gasoil50`	`0.2200`	`0.00523664`
`glider50`	`55.3500`	`-1286.97737315`
`jbearing100`	`40.2300`	`-0.15504196`
`jbearing25`	`6.6600`	`-0.15401554`
`jbearing50`	`29.9100`	`-0.15482422`
`jbearing75`	`26.7100`	`-0.15498453`
`lnts100`	`0.3600`	`0.55459540`
`lnts200`	`1.4300`	`0.55457702`
`lnts400`	`6.3600`	`0.55457241`
`methanol100`	`0.8500`	`0.00902229`
`methanol200`	`2.4800`	`0.00902229`
`methanol400`	`8.4000`	`0.00902229`
`methanol50`	`0.3500`	`0.00902229`
`minsurf100`	`295.6700`	`2.50694926`
`minsurf25`	`5.4600`	`2.51948768`
`minsurf50`	`67.8900`	`2.51488916`
`minsurf75`	`152.5700`	`2.50568648`
`pinene100`	`2.3000`	`19.87217014`
`pinene200`	`10.5100`	`19.87216684`
`pinene25`	`1.0000`	`19.87216552`
`pinene50`	`0.9800`	`19.87216552`
`polygon100`	`20.7200`	`-0.78503127`
`polygon25`	`0.0300`	`-0.77973670`
`polygon50`	`1.5000`	`-0.78401305`
`polygon75`	`5.1400`	`-0.78478846`
`popdynm100`	`1.9300`	`19746.52860217`
`popdynm200`	`5.9600`	`19746.52964660`
`popdynm25`	`0.3100`	`19752.21541511`
`popdynm50`	`1.0300`	`19746.54515628`
`robot100`	`0.8200`	`9.14268538`
`robot200`	`15.2600`	`9.14139550`
`robot400`	`44.6300`	`9.14102603`
`robot50`	`0.1600`	`9.14687850`
`rocket100`	`0.6700`	`-1.01283202`
`rocket200`	`2.9800`	`-1.01283569`
`rocket400`	`9.2400`	`-1.01283661`
`torsion100`	`19.1900`	`-0.41823921`
`torsion25`	`1.4500`	`-0.41751073`
`torsion50`	`12.9000`	`-0.41808763`
`torsion75`	`12.3000`	`-0.41819940`

SNOPT: feasible:

Modelname	Time (SNOPT)	Obj (SNOPT)
`arki0012`	`3600.2200`	`-224171.55016260`
`arki0017`	`1680.0100`	`-121.83308010`
`arki0018`	`40.2800`	`0.01197639`
`arki0023`	`81.0700`	`-153.41732339`
`glider400`	`3600.0000`	`-254.82412037`

SNOPT: infeasible:

Modelname	Time (SNOPT)	Status (SNOPT)
`arki0008`	`--`	`mstat( 5)sstat( 1)`
`glider100`	`--`	`mstat( 5)sstat( 1)`
`glider200`	`--`	`mstat( 5)sstat( 1)`
`infeas1`	`--`	`mstat( 4)sstat( 1)`

SNOPT: fail:

Modelname	Time (SNOPT)	Status (SNOPT)
`arki0016`	`--`	`mstat(13)sstat(13)`
`ex8_2_2`	`--`	`mstat(13)sstat(13)`

MINOS: all -- SNOPT: all

A "(max)" behind a model names indicates that this model is a maximization model.

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/ SNOPT)	Obj (MINOS)	Obj (SNOPT)
`arki0002`	`1.2400`	`154.4600`	`0.008`	`1.07456972`	`1.09249984`
`arki0003`	`3.3000`	`1.4500`	`2.276`	`3795.20606795`	`3795.20606780`
`arki0004`	`6.7100`	`0.4100`	`16.366`	`327.73301341`	`323.46703883`
`arki0008`	`8.3100`	`7.4400`	---	`mstat( 3) sstat(1)`	`mstat( 5) sstat(1)`
`arki0011`	`21.8300`	`401.7400`	`0.054`	`-224086.46003866`	`-224086.45991302`
`arki0012`	`717.8400`	`3600.2200`	`0.199`	`-224252.44444071`	`-224171.55016260`
`arki0013`	`667.5800`	`1709.7900`	`0.390`	`-224253.08537293`	`-224253.08921947`
`arki0014`	`891.0000`	`3504.7300`	`0.254`	`-223977.09258700`	`-223977.09382739`
`arki0015`	`2.2900`	`3.6100`	`0.634`	`-272.29977889`	`-272.29977820`
`arki0016`	`0.7400`	`NA`	---	`1490.79918829`	`mstat(13) sstat(13)`
`arki0017`	`1.8400`	`1680.0100`	---	`mstat( 5) sstat(1)`	`-121.83308010`
`arki0018`	`3600.2600`	`40.2800`	`89.381`	`0.01045871`	`0.01197639`
`arki0020`	`8.0200`	`22.2700`	`0.360`	`-41.07495436`	`-41.07495436`
`arki0021`	`102.6800`	`89.1400`	`1.152`	`-72.58210091`	`-72.58210091`
`arki0022`	`209.8600`	`110.2400`	`1.904`	`-87.09909127`	`-87.09909127`
`arki0023`	`1592.1400`	`81.0700`	`19.639`	`-153.66007775`	`-153.41732339`
`camshape400`	`0.1400`	`0.1100`	---	`mstat( 5) sstat(1)`	`-4.27568692`
`camshape800`	`0.2200`	`0.4300`	---	`mstat( 5) sstat(1)`	`-4.27427301`
`catmix100`	`0.3500`	`0.1600`	`2.188`	`-0.04806941`	`-0.04806940`
`catmix200`	`0.5100`	`0.7000`	`0.729`	`-0.04805911`	`-0.04805914`
`catmix400`	`0.6400`	`2.4800`	`0.258`	`-0.04805650`	`-0.04805655`
`catmix800`	`1.3100`	`10.7000`	`0.122`	`-0.04805585`	`-0.04805590`
`chain400`	`1.7900`	`7.0200`	`0.255`	`5.06862169`	`5.06862169`
`elec200`	`82.4800`	`11.7800`	---	`mstat( 3) sstat(1)`	`18438.99267601`
`ex8_2_2`	`0.2300`	`NA`	---	`mstat( 3) sstat(1)`	`mstat(13) sstat(13)`
`ex8_2_2a`	`20.3200`	`92.3800`	`0.220`	`-552.64233450`	`-552.65761566`
`ex8_2_2b`	`3.8400`	`6.7000`	`0.573`	`-551.59187004`	`-551.76977942`
`ex8_2_3a`	`1.7100`	`48.3600`	`0.035`	`-3282.93488482`	`-3731.07809337`
`ex8_2_3b`	`21.3000`	`22.1800`	`0.960`	`-3730.72296914`	`-3730.72924954`
`ex8_2_5a`	`15.4300`	`184.5500`	`0.084`	`-830.33207881`	`-830.33802832`
`ex8_2_5b`	`3.0200`	`6.6800`	`0.452`	`-829.34539826`	`-830.07940808`
`flowchan100`	`0.0200`	`0.3200`	`0.063`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0800`	`1.0600`	`0.075`	`0.00000000`	`0.00000000`
`flowchan400`	`0.3000`	`3.2800`	`0.091`	`0.00000000`	`0.00000000`
`gasoil100`	`0.3500`	`0.4900`	`0.714`	`0.00523659`	`0.00523659`
`gasoil200`	`1.3100`	`1.4800`	`0.885`	`0.00523660`	`0.00523660`
`gasoil400`	`4.8200`	`6.6200`	`0.728`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1400`	`0.2200`	`0.636`	`0.00523664`	`0.00523664`
`glider100`	`0.2600`	`1.2200`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider200`	`0.5700`	`1.8000`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider400`	`1.8400`	`3600.0000`	---	`mstat( 5) sstat(1)`	`-254.82412037`
`glider50`	`0.1600`	`55.3500`	---	`mstat( 5) sstat(1)`	`-1286.97737315`
`infeas1 (max)`	`0.2800`	`0.0200`	---	`13685.59646104`	`mstat( 4) sstat(1)`
`jbearing100`	`89.8700`	`40.2300`	`2.234`	`-0.15504196`	`-0.15504196`
`jbearing25`	`2.3200`	`6.6600`	`0.348`	`-0.15401554`	`-0.15401554`
`jbearing50`	`13.9200`	`29.9100`	`0.465`	`-0.15482422`	`-0.15482422`
`jbearing75`	`43.6100`	`26.7100`	`1.633`	`-0.15498453`	`-0.15498453`
`lnts100`	`0.1800`	`0.3600`	`0.500`	`0.55459540`	`0.55459540`
`lnts200`	`0.7200`	`1.4300`	`0.503`	`0.55457702`	`0.55457702`
`lnts400`	`3.1900`	`6.3600`	`0.502`	`0.55457241`	`0.55457241`
`methanol100`	`0.8000`	`0.8500`	`0.941`	`0.00902229`	`0.00902229`
`methanol200`	`2.4700`	`2.4800`	`0.996`	`0.00902229`	`0.00902229`
`methanol400`	`7.1500`	`8.4000`	`0.851`	`0.00902229`	`0.00902229`
`methanol50`	`0.3200`	`0.3500`	`0.914`	`0.00902229`	`0.00902229`
`minsurf100`	`168.5400`	`295.6700`	`0.570`	`2.50694926`	`2.50694926`
`minsurf25`	`2.9100`	`5.4600`	`0.533`	`2.51948768`	`2.51948768`
`minsurf50`	`19.4000`	`67.8900`	`0.286`	`2.51488916`	`2.51488916`
`minsurf75`	`72.1900`	`152.5700`	`0.473`	`2.50568648`	`2.50568648`
`pinene100`	`0.8000`	`2.3000`	`0.348`	`19.87217013`	`19.87217014`
`pinene200`	`3.5900`	`10.5100`	`0.342`	`19.87216686`	`19.87216684`
`pinene25`	`0.2400`	`1.0000`	`0.240`	`19.87216552`	`19.87216552`
`pinene50`	`0.2400`	`0.9800`	`0.245`	`19.87216552`	`19.87216552`
`polygon100`	`15.0200`	`20.7200`	`0.725`	`-0.67908505`	`-0.78503127`
`polygon25`	`0.0600`	`0.0300`	`2.000`	`-0.75541069`	`-0.77973670`
`polygon50`	`0.9200`	`1.5000`	`0.613`	`-0.77264788`	`-0.78401305`
`polygon75`	`1.9000`	`5.1400`	`0.370`	`-0.77115682`	`-0.78478846`
`popdynm100`	`0.9400`	`1.9300`	`0.487`	`19746.52860217`	`19746.52860217`
`popdynm200`	`2.9800`	`5.9600`	`0.500`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.1400`	`0.3100`	`0.452`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.3500`	`1.0300`	`0.340`	`19746.54515628`	`19746.54515628`
`robot100`	`0.3800`	`0.8200`	`0.463`	`9.14268538`	`9.14268538`
`robot200`	`1.1400`	`15.2600`	`0.075`	`9.14139550`	`9.14139550`
`robot400`	`4.7200`	`44.6300`	`0.106`	`9.14102603`	`9.14102603`
`robot50`	`0.1200`	`0.1600`	`0.750`	`9.14687850`	`9.14687850`
`rocket100`	`0.7000`	`0.6700`	`1.045`	`-1.01283197`	`-1.01283202`
`rocket200`	`1.4800`	`2.9800`	`0.497`	`-1.01283556`	`-1.01283569`
`rocket400`	`4.2200`	`9.2400`	`0.457`	`-1.01283628`	`-1.01283661`
`torsion100`	`97.2000`	`19.1900`	`5.065`	`-0.41823921`	`-0.41823921`
`torsion25`	`1.4200`	`1.4500`	`0.979`	`-0.41751073`	`-0.41751073`
`torsion50`	`11.8200`	`12.9000`	`0.916`	`-0.41808763`	`-0.41808763`
`torsion75`	`40.8000`	`12.3000`	`3.317`	`-0.41819940`	`-0.41819940`