Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 03/04/11 12:14:16 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 IPOPT-MA27 is represented on the left (rows) and solver MINOS on top (columns).

See the solver return definitions for return codes. Models having trace data only in one trace file are listed in the "no data" column of the other.

Input File Number	Filename
Tracefile 1:	IPOPT-1.trc
Tracefile 2:	MINOS-1.trc
Solvers used :	IPOPT-MA27
	MINOS
Modeltype(s)	`NLP`

	MINOS: optimal	MINOS: locally optimal	MINOS: feasible	MINOS: infeasible	MINOS: unbounded	MINOS: fail	MINOS: no data	total IPOPT-MA27
IPOPT-MA27: optimal	-	-	-	-	-	-	-	`-`
IPOPT-MA27: locally optimal	-	`61`	`7`	`6`	`1`	-	-	`75`
IPOPT-MA27: feasible	-	-	-	-	-	-	-	`-`
IPOPT-MA27: infeasible	-	-	-	`2`	-	-	-	`2`
IPOPT-MA27: unbounded	-	-	-	-	-	-	-	`-`
IPOPT-MA27: fail	-	`2`	-	-	`2`	-	-	`4`
IPOPT-MA27: no data	-	-	-	-	-	-	-	`-`
total MINOS	`-`	`63`	`7`	`8`	`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.

IPOPT-MA27: locally optimal -- MINOS: locally optimal

Modelname	Time (IPOPT-MA27)	Time (MINOS)	Ratio (IPOPT-MA27/MINOS)	Obj (IPOPT-MA27)	Obj (MINOS)
`arki0002`	`0.1360`	`1.9580`	`0.069`	`1.87252774`	`1.07456972`
`arki0004`	`1.7070`	`9.8750`	`0.173`	`327.73301340`	`327.73301341`
`arki0011`	`84.0000`	`22.9860`	`3.654`	`-224086.46003209`	`-224086.46003864`
`arki0012`	`55.7840`	`797.4310`	`0.070`	`-224252.42629883`	`-224252.44487324`
`arki0013`	`59.4700`	`880.9330`	`0.068`	`-224253.08789432`	`-224253.08694287`
`arki0014`	`50.4430`	`1082.3590`	`0.047`	`-223977.03530616`	`-223977.09267384`
`arki0015`	`1.3560`	`3.6360`	`0.373`	`-266.94068809`	`-272.29977889`
`arki0020`	`0.0740`	`9.1250`	`0.008`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2110`	`106.4350`	`0.002`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.3720`	`221.9420`	`0.002`	`-87.09909127`	`-87.09909127`
`arki0023`	`0.7280`	`1645.3910`	`0.000`	`-153.66007775`	`-153.66007775`
`catmix100`	`0.0480`	`0.3670`	`0.131`	`-0.04806941`	`-0.04806941`
`catmix200`	`0.0520`	`0.5880`	`0.088`	`-0.04805914`	`-0.04805910`
`catmix400`	`0.0950`	`0.7280`	`0.130`	`-0.04805654`	`-0.04805651`
`catmix800`	`0.1810`	`1.4540`	`0.124`	`-0.04805590`	`-0.04805585`
`chain400`	`0.0170`	`1.9960`	`0.009`	`5.06862169`	`5.06862169`
`ex8_2_2a`	`1.3160`	`35.2220`	`0.037`	`-552.66625903`	`-552.64225587`
`ex8_2_2b`	`1.6600`	`7.7070`	`0.215`	`-552.66625998`	`-551.59248905`
`ex8_2_3b`	`3.4640`	`39.2120`	`0.088`	`-3731.07929695`	`-3730.72313819`
`ex8_2_5a`	`1.7680`	`25.8150`	`0.068`	`-830.33806763`	`-830.33212752`
`ex8_2_5b`	`1.9290`	`5.6660`	`0.340`	`-830.33806763`	`-829.34539825`
`flowchan100`	`0.0450`	`0.0270`	`---`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0910`	`0.0840`	`1.083`	`0.00000000`	`0.00000000`
`flowchan400`	`0.1880`	`0.2940`	`0.639`	`0.00000000`	`0.00000000`
`gasoil100`	`0.1450`	`0.3680`	`0.394`	`0.00523659`	`0.00523659`
`gasoil200`	`0.2910`	`1.4800`	`0.197`	`0.00523660`	`0.00523660`
`gasoil400`	`0.7990`	`5.1410`	`0.155`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0580`	`0.1850`	`0.314`	`0.00523664`	`0.00523664`
`infeas1`	`0.3510`	`0.3290`	`1.067`	`13685.59647017`	`13685.59644600`
`jbearing100`	`0.4680`	`90.7350`	`0.005`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.1140`	`2.4350`	`0.047`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.2000`	`14.1150`	`0.014`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.3240`	`44.0440`	`0.007`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.0310`	`0.2690`	`0.115`	`0.55459540`	`0.55459540`
`lnts200`	`0.0460`	`1.1790`	`0.039`	`0.55457702`	`0.55457702`
`lnts400`	`0.0810`	`5.4380`	`0.015`	`0.55457241`	`0.55457241`
`methanol100`	`0.1940`	`0.6870`	`0.282`	`0.00902229`	`0.00902229`
`methanol200`	`6.4270`	`2.0110`	`3.196`	`0.00902229`	`0.00902229`
`methanol400`	`2.8960`	`7.2970`	`0.397`	`0.00902229`	`0.00902229`
`methanol50`	`0.0700`	`0.5020`	`0.139`	`0.00902229`	`0.00902229`
`minsurf100`	`0.5960`	`174.5360`	`0.003`	`2.50694962`	`2.50694926`
`minsurf25`	`0.1270`	`3.1270`	`0.041`	`2.51948798`	`2.51948768`
`minsurf50`	`0.2730`	`20.4680`	`0.013`	`2.51489003`	`2.51488916`
`minsurf75`	`1.4340`	`74.9040`	`0.019`	`2.50568711`	`2.50568648`
`pinene100`	`0.1510`	`0.8570`	`0.176`	`19.87217015`	`19.87217013`
`pinene200`	`0.3690`	`3.8370`	`0.096`	`19.87216684`	`19.87216686`
`pinene25`	`0.0750`	`0.2680`	`0.280`	`19.87216552`	`19.87216552`
`pinene50`	`0.0750`	`0.2660`	`0.282`	`19.87216552`	`19.87216552`
`polygon100`	`0.5510`	`21.1860`	`0.026`	`-0.78505614`	`-0.67908505`
`polygon25`	`0.0330`	`0.0900`	`0.367`	`-0.77974054`	`-0.75541069`
`polygon50`	`0.2900`	`1.2800`	`0.227`	`-0.78213256`	`-0.77264788`
`polygon75`	`0.6500`	`2.8140`	`0.231`	`-0.78446376`	`-0.77115682`
`robot200`	`0.2420`	`1.7730`	`0.136`	`9.14139686`	`9.14139550`
`robot400`	`0.5500`	`7.1280`	`0.077`	`9.14102607`	`9.14102603`
`rocket100`	`1.9140`	`1.2360`	`1.549`	`-1.01283202`	`-1.01283199`
`rocket200`	`11.8530`	`1.9560`	`6.060`	`-1.01283569`	`-1.01283556`
`rocket400`	`118.2370`	`4.7130`	`25.087`	`-1.01283661`	`-1.01283632`
`torsion100`	`0.5980`	`100.5560`	`0.006`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1220`	`1.6000`	`0.076`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.2840`	`12.4720`	`0.023`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.4420`	`42.8410`	`0.010`	`-0.41819939`	`-0.41819940`

IPOPT-MA27: locally optimal -- MINOS: feasible

Modelname	Time (IPOPT-MA27)	Time (MINOS)	Ratio (IPOPT-MA27/MINOS)	Obj (IPOPT-MA27)	Obj (MINOS)
`arki0016`	`9.5800`	`0.7560`	`12.672`	`867.97316601`	`1490.79918829`
`arki0018`	`0.3290`	`3600.1010`	`0.000`	`0.01045662`	`0.01045892`
`ex8_2_3a`	`2.8440`	`1.9690`	`1.444`	`-3731.07929678`	`-3282.93488482`
`popdynm100`	`0.2190`	`1.0300`	`0.213`	`19746.52860214`	`19746.52860217`
`popdynm200`	`0.4940`	`3.2290`	`0.153`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.0870`	`0.1750`	`0.497`	`19752.21541508`	`19752.21541511`
`popdynm50`	`0.0980`	`0.3440`	`0.285`	`19746.54515625`	`19746.54515628`

IPOPT-MA27: locally optimal -- MINOS: infeasible

Modelname	Time (IPOPT-MA27)	Time (MINOS)	Ratio (IPOPT-MA27/MINOS)	Obj (IPOPT-MA27)	Status (MINOS)
`arki0003`	`510.2660`	`2.7470`	---	`3795.20602092`	`mstat( 5)sstat( 1)`
`arki0017`	`0.4350`	`1.9520`	---	`-121.83308011`	`mstat( 5)sstat( 1)`
`camshape400`	`0.1710`	`0.0770`	---	`-4.27569663`	`mstat( 5)sstat( 1)`
`camshape800`	`0.7280`	`0.2190`	---	`-4.27430687`	`mstat( 5)sstat( 1)`
`glider100`	`288.4420`	`0.3570`	---	`-1254.61354071`	`mstat( 5)sstat( 1)`
`glider50`	`24.8520`	`0.2010`	---	`-1286.97737317`	`mstat( 5)sstat( 1)`

IPOPT-MA27: locally optimal -- MINOS: unbounded

Modelname	Time (IPOPT-MA27)	Time (MINOS)	Ratio (IPOPT-MA27/MINOS)	Obj (IPOPT-MA27)	Status (MINOS)
`elec200`	`26.1160`	`78.8760`	---	`18439.26774952`	`mstat( 3)sstat( 1)`

IPOPT-MA27: infeasible -- MINOS: infeasible

Modelname	Time (IPOPT-MA27)	Time (MINOS)	Ratio (IPOPT-MA27/MINOS)	Status (IPOPT-MA27)	Status (MINOS)
`glider200`	`1223.1610`	`0.6970`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider400`	`133.0970`	`2.0520`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

IPOPT-MA27: fail -- MINOS: locally optimal

Modelname	Time (IPOPT-MA27)	Time (MINOS)	Ratio (IPOPT-MA27/MINOS)	Status (IPOPT-MA27)	Obj (MINOS)
`robot100`	`3610.6280`	`0.5140`	---	`mstat( 6)sstat( 3)`	`9.14268538`
`robot50`	`3646.7020`	`0.1930`	---	`mstat( 6)sstat( 3)`	`9.14687850`

IPOPT-MA27: fail -- MINOS: unbounded

Modelname	Time (IPOPT-MA27)	Time (MINOS)	Ratio (IPOPT-MA27/MINOS)	Status (IPOPT-MA27)	Status (MINOS)
`arki0008`	`3881.9600`	`46.6820`	---	`mstat( 6)sstat( 3)`	`mstat( 3)sstat( 1)`
`ex8_2_2`	`3617.6920`	`0.4040`	---	`mstat( 6)sstat( 3)`	`mstat( 3)sstat( 1)`

IPOPT-MA27: locally optimal:

Modelname	Time (IPOPT-MA27)	Obj (IPOPT-MA27)
`arki0002`	`0.1360`	`1.87252774`
`arki0003`	`510.2660`	`3795.20602092`
`arki0004`	`1.7070`	`327.73301340`
`arki0011`	`84.0000`	`-224086.46003209`
`arki0012`	`55.7840`	`-224252.42629883`
`arki0013`	`59.4700`	`-224253.08789432`
`arki0014`	`50.4430`	`-223977.03530616`
`arki0015`	`1.3560`	`-266.94068809`
`arki0016`	`9.5800`	`867.97316601`
`arki0017`	`0.4350`	`-121.83308011`
`arki0018`	`0.3290`	`0.01045662`
`arki0020`	`0.0740`	`-41.07495436`
`arki0021`	`0.2110`	`-72.58210091`
`arki0022`	`0.3720`	`-87.09909127`
`arki0023`	`0.7280`	`-153.66007775`
`camshape400`	`0.1710`	`-4.27569663`
`camshape800`	`0.7280`	`-4.27430687`
`catmix100`	`0.0480`	`-0.04806941`
`catmix200`	`0.0520`	`-0.04805914`
`catmix400`	`0.0950`	`-0.04805654`
`catmix800`	`0.1810`	`-0.04805590`
`chain400`	`0.0170`	`5.06862169`
`elec200`	`26.1160`	`18439.26774952`
`ex8_2_2a`	`1.3160`	`-552.66625903`
`ex8_2_2b`	`1.6600`	`-552.66625998`
`ex8_2_3a`	`2.8440`	`-3731.07929678`
`ex8_2_3b`	`3.4640`	`-3731.07929695`
`ex8_2_5a`	`1.7680`	`-830.33806763`
`ex8_2_5b`	`1.9290`	`-830.33806763`
`flowchan100`	`0.0450`	`0.00000000`
`flowchan200`	`0.0910`	`0.00000000`
`flowchan400`	`0.1880`	`0.00000000`
`gasoil100`	`0.1450`	`0.00523659`
`gasoil200`	`0.2910`	`0.00523660`
`gasoil400`	`0.7990`	`0.00523660`
`gasoil50`	`0.0580`	`0.00523664`
`glider100`	`288.4420`	`-1254.61354071`
`glider50`	`24.8520`	`-1286.97737317`
`infeas1`	`0.3510`	`13685.59647017`
`jbearing100`	`0.4680`	`-0.15504194`
`jbearing25`	`0.1140`	`-0.15401551`
`jbearing50`	`0.2000`	`-0.15482381`
`jbearing75`	`0.3240`	`-0.15498446`
`lnts100`	`0.0310`	`0.55459540`
`lnts200`	`0.0460`	`0.55457702`
`lnts400`	`0.0810`	`0.55457241`
`methanol100`	`0.1940`	`0.00902229`
`methanol200`	`6.4270`	`0.00902229`
`methanol400`	`2.8960`	`0.00902229`
`methanol50`	`0.0700`	`0.00902229`
`minsurf100`	`0.5960`	`2.50694962`
`minsurf25`	`0.1270`	`2.51948798`
`minsurf50`	`0.2730`	`2.51489003`
`minsurf75`	`1.4340`	`2.50568711`
`pinene100`	`0.1510`	`19.87217015`
`pinene200`	`0.3690`	`19.87216684`
`pinene25`	`0.0750`	`19.87216552`
`pinene50`	`0.0750`	`19.87216552`
`polygon100`	`0.5510`	`-0.78505614`
`polygon25`	`0.0330`	`-0.77974054`
`polygon50`	`0.2900`	`-0.78213256`
`polygon75`	`0.6500`	`-0.78446376`
`popdynm100`	`0.2190`	`19746.52860214`
`popdynm200`	`0.4940`	`19746.52964658`
`popdynm25`	`0.0870`	`19752.21541508`
`popdynm50`	`0.0980`	`19746.54515625`
`robot200`	`0.2420`	`9.14139686`
`robot400`	`0.5500`	`9.14102607`
`rocket100`	`1.9140`	`-1.01283202`
`rocket200`	`11.8530`	`-1.01283569`
`rocket400`	`118.2370`	`-1.01283661`
`torsion100`	`0.5980`	`-0.41823920`
`torsion25`	`0.1220`	`-0.41751073`
`torsion50`	`0.2840`	`-0.41808762`
`torsion75`	`0.4420`	`-0.41819939`

IPOPT-MA27: infeasible:

Modelname	Time (IPOPT-MA27)	Status (IPOPT-MA27)
`glider200`	`--`	`mstat( 5) sstat( 1)`
`glider400`	`--`	`mstat( 5) sstat( 1)`

IPOPT-MA27: fail:

Modelname	Time (IPOPT-MA27)	Status (IPOPT-MA27)
`arki0008`	`--`	`mstat( 6) sstat( 3)`
`ex8_2_2`	`--`	`mstat( 6) sstat( 3)`
`robot100`	`--`	`mstat( 6) sstat( 3)`
`robot50`	`--`	`mstat( 6) sstat( 3)`

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)`

IPOPT-MA27: all -- MINOS: all

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

Modelname	Time (IPOPT-MA27)	Time (MINOS)	Ratio (IPOPT-MA27/ MINOS)	Obj (IPOPT-MA27)	Obj (MINOS)
`arki0002`	`0.1360`	`1.9580`	`0.069`	`1.87252774`	`1.07456972`
`arki0003`	`510.2660`	`2.7470`	---	`3795.20602092`	`mstat( 5) sstat(1)`
`arki0004`	`1.7070`	`9.8750`	`0.173`	`327.73301340`	`327.73301341`
`arki0008`	`3881.9600`	`46.6820`	---	`mstat( 6) sstat(3)`	`mstat( 3) sstat(1)`
`arki0011`	`84.0000`	`22.9860`	`3.654`	`-224086.46003209`	`-224086.46003864`
`arki0012`	`55.7840`	`797.4310`	`0.070`	`-224252.42629883`	`-224252.44487324`
`arki0013`	`59.4700`	`880.9330`	`0.068`	`-224253.08789432`	`-224253.08694287`
`arki0014`	`50.4430`	`1082.3590`	`0.047`	`-223977.03530616`	`-223977.09267384`
`arki0015`	`1.3560`	`3.6360`	`0.373`	`-266.94068809`	`-272.29977889`
`arki0016`	`9.5800`	`0.7560`	`12.672`	`867.97316601`	`1490.79918829`
`arki0017`	`0.4350`	`1.9520`	---	`-121.83308011`	`mstat( 5) sstat(1)`
`arki0018`	`0.3290`	`3600.1010`	`0.000`	`0.01045662`	`0.01045892`
`arki0020`	`0.0740`	`9.1250`	`0.008`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2110`	`106.4350`	`0.002`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.3720`	`221.9420`	`0.002`	`-87.09909127`	`-87.09909127`
`arki0023`	`0.7280`	`1645.3910`	`0.000`	`-153.66007775`	`-153.66007775`
`camshape400`	`0.1710`	`0.0770`	---	`-4.27569663`	`mstat( 5) sstat(1)`
`camshape800`	`0.7280`	`0.2190`	---	`-4.27430687`	`mstat( 5) sstat(1)`
`catmix100`	`0.0480`	`0.3670`	`0.131`	`-0.04806941`	`-0.04806941`
`catmix200`	`0.0520`	`0.5880`	`0.088`	`-0.04805914`	`-0.04805910`
`catmix400`	`0.0950`	`0.7280`	`0.130`	`-0.04805654`	`-0.04805651`
`catmix800`	`0.1810`	`1.4540`	`0.124`	`-0.04805590`	`-0.04805585`
`chain400`	`0.0170`	`1.9960`	`0.009`	`5.06862169`	`5.06862169`
`elec200`	`26.1160`	`78.8760`	---	`18439.26774952`	`mstat( 3) sstat(1)`
`ex8_2_2`	`3617.6920`	`0.4040`	---	`mstat( 6) sstat(3)`	`mstat( 3) sstat(1)`
`ex8_2_2a`	`1.3160`	`35.2220`	`0.037`	`-552.66625903`	`-552.64225587`
`ex8_2_2b`	`1.6600`	`7.7070`	`0.215`	`-552.66625998`	`-551.59248905`
`ex8_2_3a`	`2.8440`	`1.9690`	`1.444`	`-3731.07929678`	`-3282.93488482`
`ex8_2_3b`	`3.4640`	`39.2120`	`0.088`	`-3731.07929695`	`-3730.72313819`
`ex8_2_5a`	`1.7680`	`25.8150`	`0.068`	`-830.33806763`	`-830.33212752`
`ex8_2_5b`	`1.9290`	`5.6660`	`0.340`	`-830.33806763`	`-829.34539825`
`flowchan100`	`0.0450`	`0.0270`	`---`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0910`	`0.0840`	`1.083`	`0.00000000`	`0.00000000`
`flowchan400`	`0.1880`	`0.2940`	`0.639`	`0.00000000`	`0.00000000`
`gasoil100`	`0.1450`	`0.3680`	`0.394`	`0.00523659`	`0.00523659`
`gasoil200`	`0.2910`	`1.4800`	`0.197`	`0.00523660`	`0.00523660`
`gasoil400`	`0.7990`	`5.1410`	`0.155`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0580`	`0.1850`	`0.314`	`0.00523664`	`0.00523664`
`glider100`	`288.4420`	`0.3570`	---	`-1254.61354071`	`mstat( 5) sstat(1)`
`glider200`	`1223.1610`	`0.6970`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider400`	`133.0970`	`2.0520`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider50`	`24.8520`	`0.2010`	---	`-1286.97737317`	`mstat( 5) sstat(1)`
`infeas1 (max)`	`0.3510`	`0.3290`	`1.067`	`13685.59647017`	`13685.59644600`
`jbearing100`	`0.4680`	`90.7350`	`0.005`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.1140`	`2.4350`	`0.047`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.2000`	`14.1150`	`0.014`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.3240`	`44.0440`	`0.007`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.0310`	`0.2690`	`0.115`	`0.55459540`	`0.55459540`
`lnts200`	`0.0460`	`1.1790`	`0.039`	`0.55457702`	`0.55457702`
`lnts400`	`0.0810`	`5.4380`	`0.015`	`0.55457241`	`0.55457241`
`methanol100`	`0.1940`	`0.6870`	`0.282`	`0.00902229`	`0.00902229`
`methanol200`	`6.4270`	`2.0110`	`3.196`	`0.00902229`	`0.00902229`
`methanol400`	`2.8960`	`7.2970`	`0.397`	`0.00902229`	`0.00902229`
`methanol50`	`0.0700`	`0.5020`	`0.139`	`0.00902229`	`0.00902229`
`minsurf100`	`0.5960`	`174.5360`	`0.003`	`2.50694962`	`2.50694926`
`minsurf25`	`0.1270`	`3.1270`	`0.041`	`2.51948798`	`2.51948768`
`minsurf50`	`0.2730`	`20.4680`	`0.013`	`2.51489003`	`2.51488916`
`minsurf75`	`1.4340`	`74.9040`	`0.019`	`2.50568711`	`2.50568648`
`pinene100`	`0.1510`	`0.8570`	`0.176`	`19.87217015`	`19.87217013`
`pinene200`	`0.3690`	`3.8370`	`0.096`	`19.87216684`	`19.87216686`
`pinene25`	`0.0750`	`0.2680`	`0.280`	`19.87216552`	`19.87216552`
`pinene50`	`0.0750`	`0.2660`	`0.282`	`19.87216552`	`19.87216552`
`polygon100`	`0.5510`	`21.1860`	`0.026`	`-0.78505614`	`-0.67908505`
`polygon25`	`0.0330`	`0.0900`	`0.367`	`-0.77974054`	`-0.75541069`
`polygon50`	`0.2900`	`1.2800`	`0.227`	`-0.78213256`	`-0.77264788`
`polygon75`	`0.6500`	`2.8140`	`0.231`	`-0.78446376`	`-0.77115682`
`popdynm100`	`0.2190`	`1.0300`	`0.213`	`19746.52860214`	`19746.52860217`
`popdynm200`	`0.4940`	`3.2290`	`0.153`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.0870`	`0.1750`	`0.497`	`19752.21541508`	`19752.21541511`
`popdynm50`	`0.0980`	`0.3440`	`0.285`	`19746.54515625`	`19746.54515628`
`robot100`	`3610.6280`	`0.5140`	---	`mstat( 6) sstat(3)`	`9.14268538`
`robot200`	`0.2420`	`1.7730`	`0.136`	`9.14139686`	`9.14139550`
`robot400`	`0.5500`	`7.1280`	`0.077`	`9.14102607`	`9.14102603`
`robot50`	`3646.7020`	`0.1930`	---	`mstat( 6) sstat(3)`	`9.14687850`
`rocket100`	`1.9140`	`1.2360`	`1.549`	`-1.01283202`	`-1.01283199`
`rocket200`	`11.8530`	`1.9560`	`6.060`	`-1.01283569`	`-1.01283556`
`rocket400`	`118.2370`	`4.7130`	`25.087`	`-1.01283661`	`-1.01283632`
`torsion100`	`0.5980`	`100.5560`	`0.006`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1220`	`1.6000`	`0.076`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.2840`	`12.4720`	`0.023`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.4420`	`42.8410`	`0.010`	`-0.41819939`	`-0.41819940`