Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 03/04/11 12:14:19 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	-	`60`	`2`	`1`	-	-	-	`63`
MINOS: feasible	-	`5`	`1`	-	-	`1`	-	`7`
MINOS: infeasible	-	`4`	`2`	`1`	-	`1`	-	`8`
MINOS: unbounded	-	`1`	-	`1`	-	`1`	-	`3`
MINOS: fail	-	-	-	-	-	-	-	`-`
MINOS: no data	-	-	-	-	-	-	-	`-`
total SNOPT	`-`	`70`	`5`	`3`	`-`	`3`	`-`	`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`	`1.9580`	`155.9220`	`0.013`	`1.07456972`	`1.09249984`
`arki0004`	`9.8750`	`0.4440`	`22.241`	`327.73301341`	`323.46703883`
`arki0011`	`22.9860`	`417.8620`	`0.055`	`-224086.46003864`	`-224086.46000828`
`arki0012`	`797.4310`	`3241.7210`	`0.246`	`-224252.44487324`	`-224252.44559875`
`arki0013`	`880.9330`	`1487.5470`	`0.592`	`-224253.08694287`	`-224253.08921843`
`arki0015`	`3.6360`	`3.7150`	`0.979`	`-272.29977889`	`-272.29977820`
`arki0020`	`9.1250`	`25.4230`	`0.359`	`-41.07495436`	`-41.07495436`
`arki0021`	`106.4350`	`75.6490`	`1.407`	`-72.58210091`	`-72.58210091`
`arki0022`	`221.9420`	`103.7290`	`2.140`	`-87.09909127`	`-87.09909127`
`catmix100`	`0.3670`	`0.1660`	`2.211`	`-0.04806941`	`-0.04806940`
`catmix200`	`0.5880`	`0.6780`	`0.867`	`-0.04805910`	`-0.04805914`
`catmix400`	`0.7280`	`2.5770`	`0.282`	`-0.04805651`	`-0.04805655`
`catmix800`	`1.4540`	`10.9170`	`0.133`	`-0.04805585`	`-0.04805590`
`chain400`	`1.9960`	`7.1580`	`0.279`	`5.06862169`	`5.06862169`
`ex8_2_2a`	`35.2220`	`118.9230`	`0.296`	`-552.64225587`	`-552.66024730`
`ex8_2_2b`	`7.7070`	`6.6280`	`1.163`	`-551.59248905`	`-551.76977066`
`ex8_2_3b`	`39.2120`	`22.1670`	`1.769`	`-3730.72313819`	`-3730.72924771`
`ex8_2_5a`	`25.8150`	`183.9390`	`0.140`	`-830.33212752`	`-830.33802819`
`ex8_2_5b`	`5.6660`	`6.7640`	`0.838`	`-829.34539825`	`-830.07940808`
`flowchan100`	`0.0270`	`0.3330`	`0.081`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0840`	`1.0650`	`0.079`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2940`	`3.3790`	`0.087`	`0.00000000`	`0.00000000`
`gasoil100`	`0.3680`	`0.4980`	`0.739`	`0.00523659`	`0.00523659`
`gasoil200`	`1.4800`	`1.4750`	`1.003`	`0.00523660`	`0.00523660`
`gasoil400`	`5.1410`	`7.0000`	`0.734`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1850`	`0.2010`	`0.920`	`0.00523664`	`0.00523664`
`jbearing100`	`90.7350`	`40.0780`	`2.264`	`-0.15504196`	`-0.15504196`
`jbearing25`	`2.4350`	`7.0120`	`0.347`	`-0.15401554`	`-0.15401554`
`jbearing50`	`14.1150`	`30.7210`	`0.459`	`-0.15482422`	`-0.15482422`
`jbearing75`	`44.0440`	`24.6340`	`1.788`	`-0.15498453`	`-0.15498453`
`lnts100`	`0.2690`	`0.3100`	`0.868`	`0.55459540`	`0.55459540`
`lnts200`	`1.1790`	`1.4820`	`0.796`	`0.55457702`	`0.55457702`
`lnts400`	`5.4380`	`6.4850`	`0.839`	`0.55457241`	`0.55457241`
`methanol100`	`0.6870`	`0.8190`	`0.839`	`0.00902229`	`0.00902229`
`methanol200`	`2.0110`	`2.5090`	`0.802`	`0.00902229`	`0.00902229`
`methanol400`	`7.2970`	`8.4200`	`0.867`	`0.00902229`	`0.00902229`
`methanol50`	`0.5020`	`1.2120`	`0.414`	`0.00902229`	`0.00902229`
`minsurf100`	`174.5360`	`307.3960`	`0.568`	`2.50694926`	`2.50694926`
`minsurf25`	`3.1270`	`5.7500`	`0.544`	`2.51948768`	`2.51948768`
`minsurf50`	`20.4680`	`67.6010`	`0.303`	`2.51488916`	`2.51488916`
`minsurf75`	`74.9040`	`155.1750`	`0.483`	`2.50568648`	`2.50568648`
`pinene100`	`0.8570`	`2.3520`	`0.364`	`19.87217013`	`19.87217014`
`pinene200`	`3.8370`	`10.7530`	`0.357`	`19.87216686`	`19.87216684`
`pinene25`	`0.2680`	`1.1890`	`0.225`	`19.87216552`	`19.87216552`
`pinene50`	`0.2660`	`1.0510`	`0.253`	`19.87216552`	`19.87216552`
`polygon100`	`21.1860`	`21.3800`	`0.991`	`-0.67908505`	`-0.78503127`
`polygon25`	`0.0900`	`0.0360`	`2.500`	`-0.75541069`	`-0.77973670`
`polygon50`	`1.2800`	`1.6020`	`0.799`	`-0.77264788`	`-0.78401305`
`polygon75`	`2.8140`	`5.3170`	`0.529`	`-0.77115682`	`-0.78478846`
`robot100`	`0.5140`	`0.8920`	`0.576`	`9.14268538`	`9.14268538`
`robot200`	`1.7730`	`7.1720`	`0.247`	`9.14139550`	`9.14139550`
`robot400`	`7.1280`	`73.1190`	`0.097`	`9.14102603`	`9.14102603`
`robot50`	`0.1930`	`0.1410`	`1.369`	`9.14687850`	`9.14687850`
`rocket100`	`1.2360`	`0.7420`	`1.666`	`-1.01283199`	`-1.01283202`
`rocket200`	`1.9560`	`4.6100`	`0.424`	`-1.01283556`	`-1.01283569`
`rocket400`	`4.7130`	`40.4500`	`0.117`	`-1.01283632`	`-1.01283661`
`torsion100`	`100.5560`	`19.8940`	`5.055`	`-0.41823921`	`-0.41823921`
`torsion25`	`1.6000`	`1.5050`	`1.063`	`-0.41751073`	`-0.41751073`
`torsion50`	`12.4720`	`14.2930`	`0.873`	`-0.41808763`	`-0.41808763`
`torsion75`	`42.8410`	`12.4500`	`3.441`	`-0.41819940`	`-0.41819940`

MINOS: locally optimal -- SNOPT: feasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Obj (SNOPT)
`arki0014`	`1082.3590`	`3600.0370`	`0.301`	`-223977.09267384`	`-223972.99474775`
`arki0023`	`1645.3910`	`82.4830`	`19.948`	`-153.66007775`	`-153.41732339`

MINOS: locally optimal -- SNOPT: infeasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Status (SNOPT)
`infeas1`	`0.3290`	`0.0160`	---	`13685.59644600`	`mstat( 4)sstat( 1)`

MINOS: feasible -- SNOPT: locally optimal

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Obj (SNOPT)
`ex8_2_3a`	`1.9690`	`64.3650`	`0.031`	`-3282.93488482`	`-3731.07808948`
`popdynm100`	`1.0300`	`1.9540`	`0.527`	`19746.52860217`	`19746.52860217`
`popdynm200`	`3.2290`	`6.1400`	`0.526`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.1750`	`0.3130`	`0.559`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.3440`	`1.0690`	`0.322`	`19746.54515628`	`19746.54515628`

MINOS: feasible -- SNOPT: feasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Obj (SNOPT)
`arki0018`	`3600.1010`	`42.2100`	`85.290`	`0.01045892`	`0.01198069`

MINOS: feasible -- SNOPT: fail

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Obj (MINOS)	Status (SNOPT)
`arki0016`	`0.7560`	`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`	`0.0770`	`0.0960`	---	`mstat( 5)sstat( 1)`	`-4.27568692`
`camshape800`	`0.2190`	`0.4180`	---	`mstat( 5)sstat( 1)`	`-4.27427301`
`glider100`	`0.3570`	`1618.6330`	---	`mstat( 5)sstat( 1)`	`-1255.05860055`
`glider50`	`0.2010`	`76.3770`	---	`mstat( 5)sstat( 1)`	`-1286.97737315`

MINOS: infeasible -- SNOPT: feasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Obj (SNOPT)
`arki0017`	`1.9520`	`1715.7910`	---	`mstat( 5)sstat( 1)`	`-121.83308010`
`glider400`	`2.0520`	`3599.9900`	---	`mstat( 5)sstat( 1)`	`-252.52559804`

MINOS: infeasible -- SNOPT: infeasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Status (SNOPT)
`glider200`	`0.6970`	`1.8010`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

MINOS: infeasible -- SNOPT: fail

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Status (SNOPT)
`arki0003`	`2.7470`	`1.1860`	---	`mstat( 5)sstat( 1)`	`mstat( 6)sstat( 4)`

MINOS: unbounded -- SNOPT: locally optimal

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Obj (SNOPT)
`elec200`	`78.8760`	`11.0000`	---	`mstat( 3)sstat( 1)`	`18438.99267601`

MINOS: unbounded -- SNOPT: infeasible

Modelname	Time (MINOS)	Time (SNOPT)	Ratio (MINOS/SNOPT)	Status (MINOS)	Status (SNOPT)
`arki0008`	`46.6820`	`8.9820`	---	`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`	`0.4040`	`82.6420`	---	`mstat( 3)sstat( 1)`	`mstat( 6)sstat( 4)`

MINOS: locally optimal:

Modelname	Time (MINOS)	Obj (MINOS)
`arki0002`	`1.9580`	`1.07456972`
`arki0004`	`9.8750`	`327.73301341`
`arki0011`	`22.9860`	`-224086.46003864`
`arki0012`	`797.4310`	`-224252.44487324`
`arki0013`	`880.9330`	`-224253.08694287`
`arki0014`	`1082.3590`	`-223977.09267384`
`arki0015`	`3.6360`	`-272.29977889`
`arki0020`	`9.1250`	`-41.07495436`
`arki0021`	`106.4350`	`-72.58210091`
`arki0022`	`221.9420`	`-87.09909127`
`arki0023`	`1645.3910`	`-153.66007775`
`catmix100`	`0.3670`	`-0.04806941`
`catmix200`	`0.5880`	`-0.04805910`
`catmix400`	`0.7280`	`-0.04805651`
`catmix800`	`1.4540`	`-0.04805585`
`chain400`	`1.9960`	`5.06862169`
`ex8_2_2a`	`35.2220`	`-552.64225587`
`ex8_2_2b`	`7.7070`	`-551.59248905`
`ex8_2_3b`	`39.2120`	`-3730.72313819`
`ex8_2_5a`	`25.8150`	`-830.33212752`
`ex8_2_5b`	`5.6660`	`-829.34539825`
`flowchan100`	`0.0270`	`0.00000000`
`flowchan200`	`0.0840`	`0.00000000`
`flowchan400`	`0.2940`	`0.00000000`
`gasoil100`	`0.3680`	`0.00523659`
`gasoil200`	`1.4800`	`0.00523660`
`gasoil400`	`5.1410`	`0.00523660`
`gasoil50`	`0.1850`	`0.00523664`
`infeas1`	`0.3290`	`13685.59644600`
`jbearing100`	`90.7350`	`-0.15504196`
`jbearing25`	`2.4350`	`-0.15401554`
`jbearing50`	`14.1150`	`-0.15482422`
`jbearing75`	`44.0440`	`-0.15498453`
`lnts100`	`0.2690`	`0.55459540`
`lnts200`	`1.1790`	`0.55457702`
`lnts400`	`5.4380`	`0.55457241`
`methanol100`	`0.6870`	`0.00902229`
`methanol200`	`2.0110`	`0.00902229`
`methanol400`	`7.2970`	`0.00902229`
`methanol50`	`0.5020`	`0.00902229`
`minsurf100`	`174.5360`	`2.50694926`
`minsurf25`	`3.1270`	`2.51948768`
`minsurf50`	`20.4680`	`2.51488916`
`minsurf75`	`74.9040`	`2.50568648`
`pinene100`	`0.8570`	`19.87217013`
`pinene200`	`3.8370`	`19.87216686`
`pinene25`	`0.2680`	`19.87216552`
`pinene50`	`0.2660`	`19.87216552`
`polygon100`	`21.1860`	`-0.67908505`
`polygon25`	`0.0900`	`-0.75541069`
`polygon50`	`1.2800`	`-0.77264788`
`polygon75`	`2.8140`	`-0.77115682`
`robot100`	`0.5140`	`9.14268538`
`robot200`	`1.7730`	`9.14139550`
`robot400`	`7.1280`	`9.14102603`
`robot50`	`0.1930`	`9.14687850`
`rocket100`	`1.2360`	`-1.01283199`
`rocket200`	`1.9560`	`-1.01283556`
`rocket400`	`4.7130`	`-1.01283632`
`torsion100`	`100.5560`	`-0.41823921`
`torsion25`	`1.6000`	`-0.41751073`
`torsion50`	`12.4720`	`-0.41808763`
`torsion75`	`42.8410`	`-0.41819940`

MINOS: feasible:

Modelname	Time (MINOS)	Obj (MINOS)
`arki0016`	`0.7560`	`1490.79918829`
`arki0018`	`3600.1010`	`0.01045892`
`ex8_2_3a`	`1.9690`	`-3282.93488482`
`popdynm100`	`1.0300`	`19746.52860217`
`popdynm200`	`3.2290`	`19746.52964660`
`popdynm25`	`0.1750`	`19752.21541511`
`popdynm50`	`0.3440`	`19746.54515628`

MINOS: infeasible:

Modelname	Time (MINOS)	Status (MINOS)
`arki0003`	`--`	`mstat( 5) sstat( 1)`
`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`	`46.6820`	`mstat( 3) sstat( 1)`
`elec200`	`78.8760`	`mstat( 3) sstat( 1)`
`ex8_2_2`	`0.4040`	`mstat( 3) sstat( 1)`

SNOPT: locally optimal:

Modelname	Time (SNOPT)	Obj (SNOPT)
`arki0002`	`155.9220`	`1.09249984`
`arki0004`	`0.4440`	`323.46703883`
`arki0011`	`417.8620`	`-224086.46000828`
`arki0012`	`3241.7210`	`-224252.44559875`
`arki0013`	`1487.5470`	`-224253.08921843`
`arki0015`	`3.7150`	`-272.29977820`
`arki0020`	`25.4230`	`-41.07495436`
`arki0021`	`75.6490`	`-72.58210091`
`arki0022`	`103.7290`	`-87.09909127`
`camshape400`	`0.0960`	`-4.27568692`
`camshape800`	`0.4180`	`-4.27427301`
`catmix100`	`0.1660`	`-0.04806940`
`catmix200`	`0.6780`	`-0.04805914`
`catmix400`	`2.5770`	`-0.04805655`
`catmix800`	`10.9170`	`-0.04805590`
`chain400`	`7.1580`	`5.06862169`
`elec200`	`11.0000`	`18438.99267601`
`ex8_2_2a`	`118.9230`	`-552.66024730`
`ex8_2_2b`	`6.6280`	`-551.76977066`
`ex8_2_3a`	`64.3650`	`-3731.07808948`
`ex8_2_3b`	`22.1670`	`-3730.72924771`
`ex8_2_5a`	`183.9390`	`-830.33802819`
`ex8_2_5b`	`6.7640`	`-830.07940808`
`flowchan100`	`0.3330`	`0.00000000`
`flowchan200`	`1.0650`	`0.00000000`
`flowchan400`	`3.3790`	`0.00000000`
`gasoil100`	`0.4980`	`0.00523659`
`gasoil200`	`1.4750`	`0.00523660`
`gasoil400`	`7.0000`	`0.00523660`
`gasoil50`	`0.2010`	`0.00523664`
`glider100`	`1618.6330`	`-1255.05860055`
`glider50`	`76.3770`	`-1286.97737315`
`jbearing100`	`40.0780`	`-0.15504196`
`jbearing25`	`7.0120`	`-0.15401554`
`jbearing50`	`30.7210`	`-0.15482422`
`jbearing75`	`24.6340`	`-0.15498453`
`lnts100`	`0.3100`	`0.55459540`
`lnts200`	`1.4820`	`0.55457702`
`lnts400`	`6.4850`	`0.55457241`
`methanol100`	`0.8190`	`0.00902229`
`methanol200`	`2.5090`	`0.00902229`
`methanol400`	`8.4200`	`0.00902229`
`methanol50`	`1.2120`	`0.00902229`
`minsurf100`	`307.3960`	`2.50694926`
`minsurf25`	`5.7500`	`2.51948768`
`minsurf50`	`67.6010`	`2.51488916`
`minsurf75`	`155.1750`	`2.50568648`
`pinene100`	`2.3520`	`19.87217014`
`pinene200`	`10.7530`	`19.87216684`
`pinene25`	`1.1890`	`19.87216552`
`pinene50`	`1.0510`	`19.87216552`
`polygon100`	`21.3800`	`-0.78503127`
`polygon25`	`0.0360`	`-0.77973670`
`polygon50`	`1.6020`	`-0.78401305`
`polygon75`	`5.3170`	`-0.78478846`
`popdynm100`	`1.9540`	`19746.52860217`
`popdynm200`	`6.1400`	`19746.52964660`
`popdynm25`	`0.3130`	`19752.21541511`
`popdynm50`	`1.0690`	`19746.54515628`
`robot100`	`0.8920`	`9.14268538`
`robot200`	`7.1720`	`9.14139550`
`robot400`	`73.1190`	`9.14102603`
`robot50`	`0.1410`	`9.14687850`
`rocket100`	`0.7420`	`-1.01283202`
`rocket200`	`4.6100`	`-1.01283569`
`rocket400`	`40.4500`	`-1.01283661`
`torsion100`	`19.8940`	`-0.41823921`
`torsion25`	`1.5050`	`-0.41751073`
`torsion50`	`14.2930`	`-0.41808763`
`torsion75`	`12.4500`	`-0.41819940`

SNOPT: feasible:

Modelname	Time (SNOPT)	Obj (SNOPT)
`arki0014`	`3600.0370`	`-223972.99474775`
`arki0017`	`1715.7910`	`-121.83308010`
`arki0018`	`42.2100`	`0.01198069`
`arki0023`	`82.4830`	`-153.41732339`
`glider400`	`3599.9900`	`-252.52559804`

SNOPT: infeasible:

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

SNOPT: fail:

Modelname	Time (SNOPT)	Status (SNOPT)
`arki0003`	`--`	`mstat( 6)sstat( 4)`
`arki0016`	`--`	`mstat(13)sstat(13)`
`ex8_2_2`	`--`	`mstat( 6)sstat( 4)`

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`	`1.9580`	`155.9220`	`0.013`	`1.07456972`	`1.09249984`
`arki0003`	`2.7470`	`1.1860`	---	`mstat( 5) sstat(1)`	`mstat( 6) sstat(4)`
`arki0004`	`9.8750`	`0.4440`	`22.241`	`327.73301341`	`323.46703883`
`arki0008`	`46.6820`	`8.9820`	---	`mstat( 3) sstat(1)`	`mstat( 5) sstat(1)`
`arki0011`	`22.9860`	`417.8620`	`0.055`	`-224086.46003864`	`-224086.46000828`
`arki0012`	`797.4310`	`3241.7210`	`0.246`	`-224252.44487324`	`-224252.44559875`
`arki0013`	`880.9330`	`1487.5470`	`0.592`	`-224253.08694287`	`-224253.08921843`
`arki0014`	`1082.3590`	`3600.0370`	`0.301`	`-223977.09267384`	`-223972.99474775`
`arki0015`	`3.6360`	`3.7150`	`0.979`	`-272.29977889`	`-272.29977820`
`arki0016`	`0.7560`	`NA`	---	`1490.79918829`	`mstat(13) sstat(13)`
`arki0017`	`1.9520`	`1715.7910`	---	`mstat( 5) sstat(1)`	`-121.83308010`
`arki0018`	`3600.1010`	`42.2100`	`85.290`	`0.01045892`	`0.01198069`
`arki0020`	`9.1250`	`25.4230`	`0.359`	`-41.07495436`	`-41.07495436`
`arki0021`	`106.4350`	`75.6490`	`1.407`	`-72.58210091`	`-72.58210091`
`arki0022`	`221.9420`	`103.7290`	`2.140`	`-87.09909127`	`-87.09909127`
`arki0023`	`1645.3910`	`82.4830`	`19.948`	`-153.66007775`	`-153.41732339`
`camshape400`	`0.0770`	`0.0960`	---	`mstat( 5) sstat(1)`	`-4.27568692`
`camshape800`	`0.2190`	`0.4180`	---	`mstat( 5) sstat(1)`	`-4.27427301`
`catmix100`	`0.3670`	`0.1660`	`2.211`	`-0.04806941`	`-0.04806940`
`catmix200`	`0.5880`	`0.6780`	`0.867`	`-0.04805910`	`-0.04805914`
`catmix400`	`0.7280`	`2.5770`	`0.282`	`-0.04805651`	`-0.04805655`
`catmix800`	`1.4540`	`10.9170`	`0.133`	`-0.04805585`	`-0.04805590`
`chain400`	`1.9960`	`7.1580`	`0.279`	`5.06862169`	`5.06862169`
`elec200`	`78.8760`	`11.0000`	---	`mstat( 3) sstat(1)`	`18438.99267601`
`ex8_2_2`	`0.4040`	`82.6420`	---	`mstat( 3) sstat(1)`	`mstat( 6) sstat(4)`
`ex8_2_2a`	`35.2220`	`118.9230`	`0.296`	`-552.64225587`	`-552.66024730`
`ex8_2_2b`	`7.7070`	`6.6280`	`1.163`	`-551.59248905`	`-551.76977066`
`ex8_2_3a`	`1.9690`	`64.3650`	`0.031`	`-3282.93488482`	`-3731.07808948`
`ex8_2_3b`	`39.2120`	`22.1670`	`1.769`	`-3730.72313819`	`-3730.72924771`
`ex8_2_5a`	`25.8150`	`183.9390`	`0.140`	`-830.33212752`	`-830.33802819`
`ex8_2_5b`	`5.6660`	`6.7640`	`0.838`	`-829.34539825`	`-830.07940808`
`flowchan100`	`0.0270`	`0.3330`	`0.081`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0840`	`1.0650`	`0.079`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2940`	`3.3790`	`0.087`	`0.00000000`	`0.00000000`
`gasoil100`	`0.3680`	`0.4980`	`0.739`	`0.00523659`	`0.00523659`
`gasoil200`	`1.4800`	`1.4750`	`1.003`	`0.00523660`	`0.00523660`
`gasoil400`	`5.1410`	`7.0000`	`0.734`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1850`	`0.2010`	`0.920`	`0.00523664`	`0.00523664`
`glider100`	`0.3570`	`1618.6330`	---	`mstat( 5) sstat(1)`	`-1255.05860055`
`glider200`	`0.6970`	`1.8010`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider400`	`2.0520`	`3599.9900`	---	`mstat( 5) sstat(1)`	`-252.52559804`
`glider50`	`0.2010`	`76.3770`	---	`mstat( 5) sstat(1)`	`-1286.97737315`
`infeas1 (max)`	`0.3290`	`0.0160`	---	`13685.59644600`	`mstat( 4) sstat(1)`
`jbearing100`	`90.7350`	`40.0780`	`2.264`	`-0.15504196`	`-0.15504196`
`jbearing25`	`2.4350`	`7.0120`	`0.347`	`-0.15401554`	`-0.15401554`
`jbearing50`	`14.1150`	`30.7210`	`0.459`	`-0.15482422`	`-0.15482422`
`jbearing75`	`44.0440`	`24.6340`	`1.788`	`-0.15498453`	`-0.15498453`
`lnts100`	`0.2690`	`0.3100`	`0.868`	`0.55459540`	`0.55459540`
`lnts200`	`1.1790`	`1.4820`	`0.796`	`0.55457702`	`0.55457702`
`lnts400`	`5.4380`	`6.4850`	`0.839`	`0.55457241`	`0.55457241`
`methanol100`	`0.6870`	`0.8190`	`0.839`	`0.00902229`	`0.00902229`
`methanol200`	`2.0110`	`2.5090`	`0.802`	`0.00902229`	`0.00902229`
`methanol400`	`7.2970`	`8.4200`	`0.867`	`0.00902229`	`0.00902229`
`methanol50`	`0.5020`	`1.2120`	`0.414`	`0.00902229`	`0.00902229`
`minsurf100`	`174.5360`	`307.3960`	`0.568`	`2.50694926`	`2.50694926`
`minsurf25`	`3.1270`	`5.7500`	`0.544`	`2.51948768`	`2.51948768`
`minsurf50`	`20.4680`	`67.6010`	`0.303`	`2.51488916`	`2.51488916`
`minsurf75`	`74.9040`	`155.1750`	`0.483`	`2.50568648`	`2.50568648`
`pinene100`	`0.8570`	`2.3520`	`0.364`	`19.87217013`	`19.87217014`
`pinene200`	`3.8370`	`10.7530`	`0.357`	`19.87216686`	`19.87216684`
`pinene25`	`0.2680`	`1.1890`	`0.225`	`19.87216552`	`19.87216552`
`pinene50`	`0.2660`	`1.0510`	`0.253`	`19.87216552`	`19.87216552`
`polygon100`	`21.1860`	`21.3800`	`0.991`	`-0.67908505`	`-0.78503127`
`polygon25`	`0.0900`	`0.0360`	`2.500`	`-0.75541069`	`-0.77973670`
`polygon50`	`1.2800`	`1.6020`	`0.799`	`-0.77264788`	`-0.78401305`
`polygon75`	`2.8140`	`5.3170`	`0.529`	`-0.77115682`	`-0.78478846`
`popdynm100`	`1.0300`	`1.9540`	`0.527`	`19746.52860217`	`19746.52860217`
`popdynm200`	`3.2290`	`6.1400`	`0.526`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.1750`	`0.3130`	`0.559`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.3440`	`1.0690`	`0.322`	`19746.54515628`	`19746.54515628`
`robot100`	`0.5140`	`0.8920`	`0.576`	`9.14268538`	`9.14268538`
`robot200`	`1.7730`	`7.1720`	`0.247`	`9.14139550`	`9.14139550`
`robot400`	`7.1280`	`73.1190`	`0.097`	`9.14102603`	`9.14102603`
`robot50`	`0.1930`	`0.1410`	`1.369`	`9.14687850`	`9.14687850`
`rocket100`	`1.2360`	`0.7420`	`1.666`	`-1.01283199`	`-1.01283202`
`rocket200`	`1.9560`	`4.6100`	`0.424`	`-1.01283556`	`-1.01283569`
`rocket400`	`4.7130`	`40.4500`	`0.117`	`-1.01283632`	`-1.01283661`
`torsion100`	`100.5560`	`19.8940`	`5.055`	`-0.41823921`	`-0.41823921`
`torsion25`	`1.6000`	`1.5050`	`1.063`	`-0.41751073`	`-0.41751073`
`torsion50`	`12.4720`	`14.2930`	`0.873`	`-0.41808763`	`-0.41808763`
`torsion75`	`42.8410`	`12.4500`	`3.441`	`-0.41819940`	`-0.41819940`