Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 03/04/11 12:14:18 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 KNITRO 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:	KNITRO-1.trc
Tracefile 2:	MINOS-1.trc
Solvers used :	KNITRO
	MINOS
Modeltype(s)	`NLP`

	MINOS: optimal	MINOS: locally optimal	MINOS: feasible	MINOS: infeasible	MINOS: unbounded	MINOS: fail	MINOS: no data	total KNITRO
KNITRO: optimal	-	-	-	-	-	-	-	`-`
KNITRO: locally optimal	-	`57`	`7`	`5`	`1`	-	-	`70`
KNITRO: feasible	-	`2`	-	-	`1`	-	-	`3`
KNITRO: infeasible	-	`1`	-	`1`	`1`	-	-	`3`
KNITRO: unbounded	-	-	-	-	-	-	-	`-`
KNITRO: fail	-	`3`	-	`2`	-	-	-	`5`
KNITRO: 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.

KNITRO: locally optimal -- MINOS: locally optimal

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Obj (KNITRO)	Obj (MINOS)
`arki0002`	`0.4550`	`1.9580`	`0.232`	`1.87252774`	`1.07456972`
`arki0004`	`0.2270`	`9.8750`	`0.023`	`323.46703884`	`327.73301341`
`arki0015`	`3.0810`	`3.6360`	`0.847`	`-263.62699897`	`-272.29977889`
`arki0020`	`0.1060`	`9.1250`	`0.012`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2890`	`106.4350`	`0.003`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.4560`	`221.9420`	`0.002`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.2170`	`1645.3910`	`0.001`	`-153.66007775`	`-153.66007775`
`catmix100`	`0.1000`	`0.3670`	`0.272`	`-0.04806942`	`-0.04806941`
`catmix200`	`0.1440`	`0.5880`	`0.245`	`-0.04805913`	`-0.04805910`
`catmix400`	`0.0940`	`0.7280`	`0.129`	`-0.04805653`	`-0.04805651`
`catmix800`	`0.2150`	`1.4540`	`0.148`	`-0.04805587`	`-0.04805585`
`chain400`	`0.9940`	`1.9960`	`0.498`	`5.06862169`	`5.06862169`
`ex8_2_2a`	`1.1780`	`35.2220`	`0.033`	`-552.66625615`	`-552.64225587`
`ex8_2_2b`	`1.4780`	`7.7070`	`0.192`	`-552.66625869`	`-551.59248905`
`ex8_2_3b`	`2.9060`	`39.2120`	`0.074`	`-3731.07929545`	`-3730.72313819`
`ex8_2_5a`	`0.9030`	`25.8150`	`0.035`	`-830.33805402`	`-830.33212752`
`ex8_2_5b`	`1.2260`	`5.6660`	`0.216`	`-830.33806623`	`-829.34539825`
`flowchan100`	`0.0600`	`0.0270`	`2.222`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1160`	`0.0840`	`1.381`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2340`	`0.2940`	`0.796`	`0.00000000`	`0.00000000`
`gasoil100`	`0.0990`	`0.3680`	`0.269`	`0.00523659`	`0.00523659`
`gasoil200`	`0.1990`	`1.4800`	`0.134`	`0.00523660`	`0.00523660`
`gasoil400`	`0.4120`	`5.1410`	`0.080`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0530`	`0.1850`	`0.286`	`0.00523664`	`0.00523664`
`infeas1`	`0.2770`	`0.3290`	`0.842`	`13685.59646064`	`13685.59644600`
`jbearing100`	`0.5000`	`90.7350`	`0.006`	`-0.15504173`	`-0.15504196`
`jbearing25`	`0.1200`	`2.4350`	`0.049`	`-0.15401538`	`-0.15401554`
`jbearing50`	`0.2430`	`14.1150`	`0.017`	`-0.15482405`	`-0.15482422`
`jbearing75`	`0.3710`	`44.0440`	`0.008`	`-0.15498434`	`-0.15498453`
`lnts100`	`0.0300`	`0.2690`	`0.112`	`0.55459540`	`0.55459540`
`lnts200`	`0.0530`	`1.1790`	`0.045`	`0.55457702`	`0.55457702`
`lnts400`	`0.1270`	`5.4380`	`0.023`	`0.55457241`	`0.55457241`
`methanol100`	`0.1840`	`0.6870`	`0.268`	`0.00902229`	`0.00902229`
`methanol200`	`0.4270`	`2.0110`	`0.212`	`0.00902229`	`0.00902229`
`methanol400`	`1.1180`	`7.2970`	`0.153`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`0.5020`	`0.179`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8020`	`174.5360`	`0.005`	`2.50694937`	`2.50694926`
`minsurf25`	`0.1280`	`3.1270`	`0.041`	`2.51948776`	`2.51948768`
`minsurf50`	`1.0390`	`20.4680`	`0.051`	`2.51488927`	`2.51488916`
`minsurf75`	`1.5330`	`74.9040`	`0.020`	`2.50568659`	`2.50568648`
`pinene100`	`0.2260`	`0.8570`	`0.264`	`19.87217015`	`19.87217013`
`pinene200`	`0.5150`	`3.8370`	`0.134`	`19.87216684`	`19.87216686`
`pinene25`	`0.1220`	`0.2680`	`0.455`	`19.87216552`	`19.87216552`
`pinene50`	`0.1220`	`0.2660`	`0.459`	`19.87216552`	`19.87216552`
`polygon100`	`2.0450`	`21.1860`	`0.097`	`-0.76681127`	`-0.67908505`
`polygon25`	`0.0410`	`0.0900`	`0.456`	`-0.77866123`	`-0.75541069`
`polygon50`	`1.5110`	`1.2800`	`1.180`	`-0.75755497`	`-0.77264788`
`polygon75`	`3.8940`	`2.8140`	`1.384`	`-0.77435383`	`-0.77115682`
`robot400`	`1.4650`	`7.1280`	`0.206`	`9.14102651`	`9.14102603`
`robot50`	`0.1560`	`0.1930`	`0.808`	`9.14687852`	`9.14687850`
`rocket100`	`2.1160`	`1.2360`	`1.712`	`-1.01283201`	`-1.01283199`
`rocket200`	`0.9550`	`1.9560`	`0.488`	`-1.01283566`	`-1.01283556`
`rocket400`	`22.3050`	`4.7130`	`4.733`	`-1.01283656`	`-1.01283632`
`torsion100`	`1.1140`	`100.5560`	`0.011`	`-0.41823906`	`-0.41823921`
`torsion25`	`0.1490`	`1.6000`	`0.093`	`-0.41751069`	`-0.41751073`
`torsion50`	`0.3360`	`12.4720`	`0.027`	`-0.41808756`	`-0.41808763`
`torsion75`	`0.6900`	`42.8410`	`0.016`	`-0.41819929`	`-0.41819940`

KNITRO: locally optimal -- MINOS: feasible

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Obj (KNITRO)	Obj (MINOS)
`arki0016`	`3.7380`	`0.7560`	`4.944`	`867.97316601`	`1490.79918829`
`arki0018`	`0.8450`	`3600.1010`	`0.000`	`0.01045662`	`0.01045892`
`ex8_2_3a`	`2.5510`	`1.9690`	`1.296`	`-3731.07929545`	`-3282.93488482`
`popdynm100`	`0.2320`	`1.0300`	`0.225`	`19746.52860217`	`19746.52860217`
`popdynm200`	`0.5410`	`3.2290`	`0.168`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.0790`	`0.1750`	`0.451`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.1270`	`0.3440`	`0.369`	`19746.54515628`	`19746.54515628`

KNITRO: locally optimal -- MINOS: infeasible

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Obj (KNITRO)	Status (MINOS)
`arki0017`	`0.4400`	`1.9520`	---	`-121.83308004`	`mstat( 5)sstat( 1)`
`camshape400`	`0.2280`	`0.0770`	---	`-4.27568844`	`mstat( 5)sstat( 1)`
`camshape800`	`0.5100`	`0.2190`	---	`-4.27427406`	`mstat( 5)sstat( 1)`
`glider100`	`20.4410`	`0.3570`	---	`-1255.05860055`	`mstat( 5)sstat( 1)`
`glider200`	`9.1170`	`0.6970`	---	`-249.99882310`	`mstat( 5)sstat( 1)`

KNITRO: locally optimal -- MINOS: unbounded

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Obj (KNITRO)	Status (MINOS)
`elec200`	`10.4650`	`78.8760`	---	`18439.29863902`	`mstat( 3)sstat( 1)`

KNITRO: feasible -- MINOS: locally optimal

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Obj (KNITRO)	Obj (MINOS)
`arki0011`	`3600.0630`	`22.9860`	`156.620`	`-224030.30400485`	`-224086.46003864`
`robot100`	`13.8240`	`0.5140`	`26.895`	`-2.0836462971935E+16`	`9.14268538`

KNITRO: feasible -- MINOS: unbounded

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Obj (KNITRO)	Status (MINOS)
`ex8_2_2`	`1375.4550`	`0.4040`	---	`-27671.65361246`	`mstat( 3)sstat( 1)`

KNITRO: infeasible -- MINOS: locally optimal

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Status (KNITRO)	Obj (MINOS)
`robot200`	`43.4290`	`1.7730`	---	`mstat( 5)sstat( 1)`	`9.14139550`

KNITRO: infeasible -- MINOS: infeasible

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Status (KNITRO)	Status (MINOS)
`glider50`	`3332.9840`	`0.2010`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

KNITRO: infeasible -- MINOS: unbounded

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Status (KNITRO)	Status (MINOS)
`arki0008`	`128.8140`	`46.6820`	---	`mstat( 5)sstat( 1)`	`mstat( 3)sstat( 1)`

KNITRO: fail -- MINOS: locally optimal

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Status (KNITRO)	Obj (MINOS)
`arki0012`	`3600.1350`	`797.4310`	---	`mstat( 6)sstat( 3)`	`-224252.44487324`
`arki0013`	`3600.0690`	`880.9330`	---	`mstat( 6)sstat( 3)`	`-224253.08694287`
`arki0014`	`3600.0960`	`1082.3590`	---	`mstat( 6)sstat( 3)`	`-223977.09267384`

KNITRO: fail -- MINOS: infeasible

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/MINOS)	Status (KNITRO)	Status (MINOS)
`arki0003`	`3600.0300`	`2.7470`	---	`mstat( 6)sstat( 3)`	`mstat( 5)sstat( 1)`
`glider400`	`3600.0230`	`2.0520`	---	`mstat( 6)sstat( 3)`	`mstat( 5)sstat( 1)`

KNITRO: locally optimal:

Modelname	Time (KNITRO)	Obj (KNITRO)
`arki0002`	`0.4550`	`1.87252774`
`arki0004`	`0.2270`	`323.46703884`
`arki0015`	`3.0810`	`-263.62699897`
`arki0016`	`3.7380`	`867.97316601`
`arki0017`	`0.4400`	`-121.83308004`
`arki0018`	`0.8450`	`0.01045662`
`arki0020`	`0.1060`	`-41.07495436`
`arki0021`	`0.2890`	`-72.58210091`
`arki0022`	`0.4560`	`-87.09909127`
`arki0023`	`1.2170`	`-153.66007775`
`camshape400`	`0.2280`	`-4.27568844`
`camshape800`	`0.5100`	`-4.27427406`
`catmix100`	`0.1000`	`-0.04806942`
`catmix200`	`0.1440`	`-0.04805913`
`catmix400`	`0.0940`	`-0.04805653`
`catmix800`	`0.2150`	`-0.04805587`
`chain400`	`0.9940`	`5.06862169`
`elec200`	`10.4650`	`18439.29863902`
`ex8_2_2a`	`1.1780`	`-552.66625615`
`ex8_2_2b`	`1.4780`	`-552.66625869`
`ex8_2_3a`	`2.5510`	`-3731.07929545`
`ex8_2_3b`	`2.9060`	`-3731.07929545`
`ex8_2_5a`	`0.9030`	`-830.33805402`
`ex8_2_5b`	`1.2260`	`-830.33806623`
`flowchan100`	`0.0600`	`0.00000000`
`flowchan200`	`0.1160`	`0.00000000`
`flowchan400`	`0.2340`	`0.00000000`
`gasoil100`	`0.0990`	`0.00523659`
`gasoil200`	`0.1990`	`0.00523660`
`gasoil400`	`0.4120`	`0.00523660`
`gasoil50`	`0.0530`	`0.00523664`
`glider100`	`20.4410`	`-1255.05860055`
`glider200`	`9.1170`	`-249.99882310`
`infeas1`	`0.2770`	`13685.59646064`
`jbearing100`	`0.5000`	`-0.15504173`
`jbearing25`	`0.1200`	`-0.15401538`
`jbearing50`	`0.2430`	`-0.15482405`
`jbearing75`	`0.3710`	`-0.15498434`
`lnts100`	`0.0300`	`0.55459540`
`lnts200`	`0.0530`	`0.55457702`
`lnts400`	`0.1270`	`0.55457241`
`methanol100`	`0.1840`	`0.00902229`
`methanol200`	`0.4270`	`0.00902229`
`methanol400`	`1.1180`	`0.00902229`
`methanol50`	`0.0900`	`0.00902229`
`minsurf100`	`0.8020`	`2.50694937`
`minsurf25`	`0.1280`	`2.51948776`
`minsurf50`	`1.0390`	`2.51488927`
`minsurf75`	`1.5330`	`2.50568659`
`pinene100`	`0.2260`	`19.87217015`
`pinene200`	`0.5150`	`19.87216684`
`pinene25`	`0.1220`	`19.87216552`
`pinene50`	`0.1220`	`19.87216552`
`polygon100`	`2.0450`	`-0.76681127`
`polygon25`	`0.0410`	`-0.77866123`
`polygon50`	`1.5110`	`-0.75755497`
`polygon75`	`3.8940`	`-0.77435383`
`popdynm100`	`0.2320`	`19746.52860217`
`popdynm200`	`0.5410`	`19746.52964660`
`popdynm25`	`0.0790`	`19752.21541511`
`popdynm50`	`0.1270`	`19746.54515628`
`robot400`	`1.4650`	`9.14102651`
`robot50`	`0.1560`	`9.14687852`
`rocket100`	`2.1160`	`-1.01283201`
`rocket200`	`0.9550`	`-1.01283566`
`rocket400`	`22.3050`	`-1.01283656`
`torsion100`	`1.1140`	`-0.41823906`
`torsion25`	`0.1490`	`-0.41751069`
`torsion50`	`0.3360`	`-0.41808756`
`torsion75`	`0.6900`	`-0.41819929`

KNITRO: feasible:

Modelname	Time (KNITRO)	Obj (KNITRO)
`arki0011`	`3600.0630`	`-224030.30400485`
`ex8_2_2`	`1375.4550`	`-27671.65361246`
`robot100`	`13.8240`	`-2.0836462971935E+16`

KNITRO: infeasible:

Modelname	Time (KNITRO)	Status (KNITRO)
`arki0008`	`--`	`mstat( 5) sstat( 1)`
`glider50`	`--`	`mstat( 5) sstat( 1)`
`robot200`	`--`	`mstat( 5) sstat( 1)`

KNITRO: fail:

Modelname	Time (KNITRO)	Status (KNITRO)
`arki0003`	`--`	`mstat( 6) sstat( 3)`
`arki0012`	`--`	`mstat( 6) sstat( 3)`
`arki0013`	`--`	`mstat( 6) sstat( 3)`
`arki0014`	`--`	`mstat( 6) sstat( 3)`
`glider400`	`--`	`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)`

KNITRO: all -- MINOS: all

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

Modelname	Time (KNITRO)	Time (MINOS)	Ratio (KNITRO/ MINOS)	Obj (KNITRO)	Obj (MINOS)
`arki0002`	`0.4550`	`1.9580`	`0.232`	`1.87252774`	`1.07456972`
`arki0003`	`3600.0300`	`2.7470`	---	`mstat( 6) sstat(3)`	`mstat( 5) sstat(1)`
`arki0004`	`0.2270`	`9.8750`	`0.023`	`323.46703884`	`327.73301341`
`arki0008`	`128.8140`	`46.6820`	---	`mstat( 5) sstat(1)`	`mstat( 3) sstat(1)`
`arki0011`	`3600.0630`	`22.9860`	`156.620`	`-224030.30400485`	`-224086.46003864`
`arki0012`	`3600.1350`	`797.4310`	---	`mstat( 6) sstat(3)`	`-224252.44487324`
`arki0013`	`3600.0690`	`880.9330`	---	`mstat( 6) sstat(3)`	`-224253.08694287`
`arki0014`	`3600.0960`	`1082.3590`	---	`mstat( 6) sstat(3)`	`-223977.09267384`
`arki0015`	`3.0810`	`3.6360`	`0.847`	`-263.62699897`	`-272.29977889`
`arki0016`	`3.7380`	`0.7560`	`4.944`	`867.97316601`	`1490.79918829`
`arki0017`	`0.4400`	`1.9520`	---	`-121.83308004`	`mstat( 5) sstat(1)`
`arki0018`	`0.8450`	`3600.1010`	`0.000`	`0.01045662`	`0.01045892`
`arki0020`	`0.1060`	`9.1250`	`0.012`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2890`	`106.4350`	`0.003`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.4560`	`221.9420`	`0.002`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.2170`	`1645.3910`	`0.001`	`-153.66007775`	`-153.66007775`
`camshape400`	`0.2280`	`0.0770`	---	`-4.27568844`	`mstat( 5) sstat(1)`
`camshape800`	`0.5100`	`0.2190`	---	`-4.27427406`	`mstat( 5) sstat(1)`
`catmix100`	`0.1000`	`0.3670`	`0.272`	`-0.04806942`	`-0.04806941`
`catmix200`	`0.1440`	`0.5880`	`0.245`	`-0.04805913`	`-0.04805910`
`catmix400`	`0.0940`	`0.7280`	`0.129`	`-0.04805653`	`-0.04805651`
`catmix800`	`0.2150`	`1.4540`	`0.148`	`-0.04805587`	`-0.04805585`
`chain400`	`0.9940`	`1.9960`	`0.498`	`5.06862169`	`5.06862169`
`elec200`	`10.4650`	`78.8760`	---	`18439.29863902`	`mstat( 3) sstat(1)`
`ex8_2_2`	`1375.4550`	`0.4040`	---	`-27671.65361246`	`mstat( 3) sstat(1)`
`ex8_2_2a`	`1.1780`	`35.2220`	`0.033`	`-552.66625615`	`-552.64225587`
`ex8_2_2b`	`1.4780`	`7.7070`	`0.192`	`-552.66625869`	`-551.59248905`
`ex8_2_3a`	`2.5510`	`1.9690`	`1.296`	`-3731.07929545`	`-3282.93488482`
`ex8_2_3b`	`2.9060`	`39.2120`	`0.074`	`-3731.07929545`	`-3730.72313819`
`ex8_2_5a`	`0.9030`	`25.8150`	`0.035`	`-830.33805402`	`-830.33212752`
`ex8_2_5b`	`1.2260`	`5.6660`	`0.216`	`-830.33806623`	`-829.34539825`
`flowchan100`	`0.0600`	`0.0270`	`2.222`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1160`	`0.0840`	`1.381`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2340`	`0.2940`	`0.796`	`0.00000000`	`0.00000000`
`gasoil100`	`0.0990`	`0.3680`	`0.269`	`0.00523659`	`0.00523659`
`gasoil200`	`0.1990`	`1.4800`	`0.134`	`0.00523660`	`0.00523660`
`gasoil400`	`0.4120`	`5.1410`	`0.080`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0530`	`0.1850`	`0.286`	`0.00523664`	`0.00523664`
`glider100`	`20.4410`	`0.3570`	---	`-1255.05860055`	`mstat( 5) sstat(1)`
`glider200`	`9.1170`	`0.6970`	---	`-249.99882310`	`mstat( 5) sstat(1)`
`glider400`	`3600.0230`	`2.0520`	---	`mstat( 6) sstat(3)`	`mstat( 5) sstat(1)`
`glider50`	`3332.9840`	`0.2010`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`infeas1 (max)`	`0.2770`	`0.3290`	`0.842`	`13685.59646064`	`13685.59644600`
`jbearing100`	`0.5000`	`90.7350`	`0.006`	`-0.15504173`	`-0.15504196`
`jbearing25`	`0.1200`	`2.4350`	`0.049`	`-0.15401538`	`-0.15401554`
`jbearing50`	`0.2430`	`14.1150`	`0.017`	`-0.15482405`	`-0.15482422`
`jbearing75`	`0.3710`	`44.0440`	`0.008`	`-0.15498434`	`-0.15498453`
`lnts100`	`0.0300`	`0.2690`	`0.112`	`0.55459540`	`0.55459540`
`lnts200`	`0.0530`	`1.1790`	`0.045`	`0.55457702`	`0.55457702`
`lnts400`	`0.1270`	`5.4380`	`0.023`	`0.55457241`	`0.55457241`
`methanol100`	`0.1840`	`0.6870`	`0.268`	`0.00902229`	`0.00902229`
`methanol200`	`0.4270`	`2.0110`	`0.212`	`0.00902229`	`0.00902229`
`methanol400`	`1.1180`	`7.2970`	`0.153`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`0.5020`	`0.179`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8020`	`174.5360`	`0.005`	`2.50694937`	`2.50694926`
`minsurf25`	`0.1280`	`3.1270`	`0.041`	`2.51948776`	`2.51948768`
`minsurf50`	`1.0390`	`20.4680`	`0.051`	`2.51488927`	`2.51488916`
`minsurf75`	`1.5330`	`74.9040`	`0.020`	`2.50568659`	`2.50568648`
`pinene100`	`0.2260`	`0.8570`	`0.264`	`19.87217015`	`19.87217013`
`pinene200`	`0.5150`	`3.8370`	`0.134`	`19.87216684`	`19.87216686`
`pinene25`	`0.1220`	`0.2680`	`0.455`	`19.87216552`	`19.87216552`
`pinene50`	`0.1220`	`0.2660`	`0.459`	`19.87216552`	`19.87216552`
`polygon100`	`2.0450`	`21.1860`	`0.097`	`-0.76681127`	`-0.67908505`
`polygon25`	`0.0410`	`0.0900`	`0.456`	`-0.77866123`	`-0.75541069`
`polygon50`	`1.5110`	`1.2800`	`1.180`	`-0.75755497`	`-0.77264788`
`polygon75`	`3.8940`	`2.8140`	`1.384`	`-0.77435383`	`-0.77115682`
`popdynm100`	`0.2320`	`1.0300`	`0.225`	`19746.52860217`	`19746.52860217`
`popdynm200`	`0.5410`	`3.2290`	`0.168`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.0790`	`0.1750`	`0.451`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.1270`	`0.3440`	`0.369`	`19746.54515628`	`19746.54515628`
`robot100`	`13.8240`	`0.5140`	`26.895`	`-2.0836462971935E+16`	`9.14268538`
`robot200`	`43.4290`	`1.7730`	---	`mstat( 5) sstat(1)`	`9.14139550`
`robot400`	`1.4650`	`7.1280`	`0.206`	`9.14102651`	`9.14102603`
`robot50`	`0.1560`	`0.1930`	`0.808`	`9.14687852`	`9.14687850`
`rocket100`	`2.1160`	`1.2360`	`1.712`	`-1.01283201`	`-1.01283199`
`rocket200`	`0.9550`	`1.9560`	`0.488`	`-1.01283566`	`-1.01283556`
`rocket400`	`22.3050`	`4.7130`	`4.733`	`-1.01283656`	`-1.01283632`
`torsion100`	`1.1140`	`100.5560`	`0.011`	`-0.41823906`	`-0.41823921`
`torsion25`	`0.1490`	`1.6000`	`0.093`	`-0.41751069`	`-0.41751073`
`torsion50`	`0.3360`	`12.4720`	`0.027`	`-0.41808756`	`-0.41808763`
`torsion75`	`0.6900`	`42.8410`	`0.016`	`-0.41819929`	`-0.41819940`