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 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:	KNITRO-1.trc
Tracefile 2:	SNOPT-1.trc
Solvers used :	KNITRO
	SNOPT
Modeltype(s)	`NLP`

	SNOPT: optimal	SNOPT: locally optimal	SNOPT: feasible	SNOPT: infeasible	SNOPT: unbounded	SNOPT: fail	SNOPT: no data	total KNITRO
KNITRO: optimal	-	-	-	-	-	-	-	`-`
KNITRO: locally optimal	-	`64`	`3`	`2`	-	`1`	-	`70`
KNITRO: feasible	-	`2`	-	-	-	`1`	-	`3`
KNITRO: infeasible	-	`2`	-	`1`	-	-	-	`3`
KNITRO: unbounded	-	-	-	-	-	-	-	`-`
KNITRO: fail	-	`2`	`2`	-	-	`1`	-	`5`
KNITRO: 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.

KNITRO: locally optimal -- SNOPT: locally optimal

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Obj (KNITRO)	Obj (SNOPT)
`arki0002`	`0.4550`	`155.9220`	`0.003`	`1.87252774`	`1.09249984`
`arki0004`	`0.2270`	`0.4440`	`0.511`	`323.46703884`	`323.46703883`
`arki0015`	`3.0810`	`3.7150`	`0.829`	`-263.62699897`	`-272.29977820`
`arki0020`	`0.1060`	`25.4230`	`0.004`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2890`	`75.6490`	`0.004`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.4560`	`103.7290`	`0.004`	`-87.09909127`	`-87.09909127`
`camshape400`	`0.2280`	`0.0960`	`2.375`	`-4.27568844`	`-4.27568692`
`camshape800`	`0.5100`	`0.4180`	`1.220`	`-4.27427406`	`-4.27427301`
`catmix100`	`0.1000`	`0.1660`	`0.602`	`-0.04806942`	`-0.04806940`
`catmix200`	`0.1440`	`0.6780`	`0.212`	`-0.04805913`	`-0.04805914`
`catmix400`	`0.0940`	`2.5770`	`0.036`	`-0.04805653`	`-0.04805655`
`catmix800`	`0.2150`	`10.9170`	`0.020`	`-0.04805587`	`-0.04805590`
`chain400`	`0.9940`	`7.1580`	`0.139`	`5.06862169`	`5.06862169`
`elec200`	`10.4650`	`11.0000`	`0.951`	`18439.29863902`	`18438.99267601`
`ex8_2_2a`	`1.1780`	`118.9230`	`0.010`	`-552.66625615`	`-552.66024730`
`ex8_2_2b`	`1.4780`	`6.6280`	`0.223`	`-552.66625869`	`-551.76977066`
`ex8_2_3a`	`2.5510`	`64.3650`	`0.040`	`-3731.07929545`	`-3731.07808948`
`ex8_2_3b`	`2.9060`	`22.1670`	`0.131`	`-3731.07929545`	`-3730.72924771`
`ex8_2_5a`	`0.9030`	`183.9390`	`0.005`	`-830.33805402`	`-830.33802819`
`ex8_2_5b`	`1.2260`	`6.7640`	`0.181`	`-830.33806623`	`-830.07940808`
`flowchan100`	`0.0600`	`0.3330`	`0.180`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1160`	`1.0650`	`0.109`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2340`	`3.3790`	`0.069`	`0.00000000`	`0.00000000`
`gasoil100`	`0.0990`	`0.4980`	`0.199`	`0.00523659`	`0.00523659`
`gasoil200`	`0.1990`	`1.4750`	`0.135`	`0.00523660`	`0.00523660`
`gasoil400`	`0.4120`	`7.0000`	`0.059`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0530`	`0.2010`	`0.264`	`0.00523664`	`0.00523664`
`glider100`	`20.4410`	`1618.6330`	`0.013`	`-1255.05860055`	`-1255.05860055`
`jbearing100`	`0.5000`	`40.0780`	`0.012`	`-0.15504173`	`-0.15504196`
`jbearing25`	`0.1200`	`7.0120`	`0.017`	`-0.15401538`	`-0.15401554`
`jbearing50`	`0.2430`	`30.7210`	`0.008`	`-0.15482405`	`-0.15482422`
`jbearing75`	`0.3710`	`24.6340`	`0.015`	`-0.15498434`	`-0.15498453`
`lnts100`	`0.0300`	`0.3100`	`0.097`	`0.55459540`	`0.55459540`
`lnts200`	`0.0530`	`1.4820`	`0.036`	`0.55457702`	`0.55457702`
`lnts400`	`0.1270`	`6.4850`	`0.020`	`0.55457241`	`0.55457241`
`methanol100`	`0.1840`	`0.8190`	`0.225`	`0.00902229`	`0.00902229`
`methanol200`	`0.4270`	`2.5090`	`0.170`	`0.00902229`	`0.00902229`
`methanol400`	`1.1180`	`8.4200`	`0.133`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`1.2120`	`0.074`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8020`	`307.3960`	`0.003`	`2.50694937`	`2.50694926`
`minsurf25`	`0.1280`	`5.7500`	`0.022`	`2.51948776`	`2.51948768`
`minsurf50`	`1.0390`	`67.6010`	`0.015`	`2.51488927`	`2.51488916`
`minsurf75`	`1.5330`	`155.1750`	`0.010`	`2.50568659`	`2.50568648`
`pinene100`	`0.2260`	`2.3520`	`0.096`	`19.87217015`	`19.87217014`
`pinene200`	`0.5150`	`10.7530`	`0.048`	`19.87216684`	`19.87216684`
`pinene25`	`0.1220`	`1.1890`	`0.103`	`19.87216552`	`19.87216552`
`pinene50`	`0.1220`	`1.0510`	`0.116`	`19.87216552`	`19.87216552`
`polygon100`	`2.0450`	`21.3800`	`0.096`	`-0.76681127`	`-0.78503127`
`polygon25`	`0.0410`	`0.0360`	`---`	`-0.77866123`	`-0.77973670`
`polygon50`	`1.5110`	`1.6020`	`0.943`	`-0.75755497`	`-0.78401305`
`polygon75`	`3.8940`	`5.3170`	`0.732`	`-0.77435383`	`-0.78478846`
`popdynm100`	`0.2320`	`1.9540`	`0.119`	`19746.52860217`	`19746.52860217`
`popdynm200`	`0.5410`	`6.1400`	`0.088`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.0790`	`0.3130`	`0.252`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.1270`	`1.0690`	`0.119`	`19746.54515628`	`19746.54515628`
`robot400`	`1.4650`	`73.1190`	`0.020`	`9.14102651`	`9.14102603`
`robot50`	`0.1560`	`0.1410`	`1.106`	`9.14687852`	`9.14687850`
`rocket100`	`2.1160`	`0.7420`	`2.852`	`-1.01283201`	`-1.01283202`
`rocket200`	`0.9550`	`4.6100`	`0.207`	`-1.01283566`	`-1.01283569`
`rocket400`	`22.3050`	`40.4500`	`0.551`	`-1.01283656`	`-1.01283661`
`torsion100`	`1.1140`	`19.8940`	`0.056`	`-0.41823906`	`-0.41823921`
`torsion25`	`0.1490`	`1.5050`	`0.099`	`-0.41751069`	`-0.41751073`
`torsion50`	`0.3360`	`14.2930`	`0.024`	`-0.41808756`	`-0.41808763`
`torsion75`	`0.6900`	`12.4500`	`0.055`	`-0.41819929`	`-0.41819940`

KNITRO: locally optimal -- SNOPT: feasible

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Obj (KNITRO)	Obj (SNOPT)
`arki0017`	`0.4400`	`1715.7910`	`0.000`	`-121.83308004`	`-121.83308010`
`arki0018`	`0.8450`	`42.2100`	`0.020`	`0.01045662`	`0.01198069`
`arki0023`	`1.2170`	`82.4830`	`0.015`	`-153.66007775`	`-153.41732339`

KNITRO: locally optimal -- SNOPT: infeasible

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Obj (KNITRO)	Status (SNOPT)
`glider200`	`9.1170`	`1.8010`	---	`-249.99882310`	`mstat( 5)sstat( 1)`
`infeas1`	`0.2770`	`0.0160`	---	`13685.59646064`	`mstat( 4)sstat( 1)`

KNITRO: locally optimal -- SNOPT: fail

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Obj (KNITRO)	Status (SNOPT)
`arki0016`	`3.7380`	`NA`	---	`867.97316601`	`mstat(13)sstat(13)`

KNITRO: feasible -- SNOPT: locally optimal

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Obj (KNITRO)	Obj (SNOPT)
`arki0011`	`3600.0630`	`417.8620`	`8.615`	`-224030.30400485`	`-224086.46000828`
`robot100`	`13.8240`	`0.8920`	`15.498`	`-2.0836462971935E+16`	`9.14268538`

KNITRO: feasible -- SNOPT: fail

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Obj (KNITRO)	Status (SNOPT)
`ex8_2_2`	`1375.4550`	`82.6420`	---	`-27671.65361246`	`mstat( 6)sstat( 4)`

KNITRO: infeasible -- SNOPT: locally optimal

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Status (KNITRO)	Obj (SNOPT)
`glider50`	`3332.9840`	`76.3770`	---	`mstat( 5)sstat( 1)`	`-1286.97737315`
`robot200`	`43.4290`	`7.1720`	---	`mstat( 5)sstat( 1)`	`9.14139550`

KNITRO: infeasible -- SNOPT: infeasible

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Status (KNITRO)	Status (SNOPT)
`arki0008`	`128.8140`	`8.9820`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

KNITRO: fail -- SNOPT: locally optimal

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Status (KNITRO)	Obj (SNOPT)
`arki0012`	`3600.1350`	`3241.7210`	---	`mstat( 6)sstat( 3)`	`-224252.44559875`
`arki0013`	`3600.0690`	`1487.5470`	---	`mstat( 6)sstat( 3)`	`-224253.08921843`

KNITRO: fail -- SNOPT: feasible

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Status (KNITRO)	Obj (SNOPT)
`arki0014`	`3600.0960`	`3600.0370`	---	`mstat( 6)sstat( 3)`	`-223972.99474775`
`glider400`	`3600.0230`	`3599.9900`	---	`mstat( 6)sstat( 3)`	`-252.52559804`

KNITRO: fail -- SNOPT: fail

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/SNOPT)	Status (KNITRO)	Status (SNOPT)
`arki0003`	`3600.0300`	`1.1860`	---	`mstat( 6)sstat( 3)`	`mstat( 6)sstat( 4)`

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)`

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)`

KNITRO: all -- SNOPT: all

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

Modelname	Time (KNITRO)	Time (SNOPT)	Ratio (KNITRO/ SNOPT)	Obj (KNITRO)	Obj (SNOPT)
`arki0002`	`0.4550`	`155.9220`	`0.003`	`1.87252774`	`1.09249984`
`arki0003`	`3600.0300`	`1.1860`	---	`mstat( 6) sstat(3)`	`mstat( 6) sstat(4)`
`arki0004`	`0.2270`	`0.4440`	`0.511`	`323.46703884`	`323.46703883`
`arki0008`	`128.8140`	`8.9820`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`arki0011`	`3600.0630`	`417.8620`	`8.615`	`-224030.30400485`	`-224086.46000828`
`arki0012`	`3600.1350`	`3241.7210`	---	`mstat( 6) sstat(3)`	`-224252.44559875`
`arki0013`	`3600.0690`	`1487.5470`	---	`mstat( 6) sstat(3)`	`-224253.08921843`
`arki0014`	`3600.0960`	`3600.0370`	---	`mstat( 6) sstat(3)`	`-223972.99474775`
`arki0015`	`3.0810`	`3.7150`	`0.829`	`-263.62699897`	`-272.29977820`
`arki0016`	`3.7380`	`NA`	---	`867.97316601`	`mstat(13) sstat(13)`
`arki0017`	`0.4400`	`1715.7910`	`0.000`	`-121.83308004`	`-121.83308010`
`arki0018`	`0.8450`	`42.2100`	`0.020`	`0.01045662`	`0.01198069`
`arki0020`	`0.1060`	`25.4230`	`0.004`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2890`	`75.6490`	`0.004`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.4560`	`103.7290`	`0.004`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.2170`	`82.4830`	`0.015`	`-153.66007775`	`-153.41732339`
`camshape400`	`0.2280`	`0.0960`	`2.375`	`-4.27568844`	`-4.27568692`
`camshape800`	`0.5100`	`0.4180`	`1.220`	`-4.27427406`	`-4.27427301`
`catmix100`	`0.1000`	`0.1660`	`0.602`	`-0.04806942`	`-0.04806940`
`catmix200`	`0.1440`	`0.6780`	`0.212`	`-0.04805913`	`-0.04805914`
`catmix400`	`0.0940`	`2.5770`	`0.036`	`-0.04805653`	`-0.04805655`
`catmix800`	`0.2150`	`10.9170`	`0.020`	`-0.04805587`	`-0.04805590`
`chain400`	`0.9940`	`7.1580`	`0.139`	`5.06862169`	`5.06862169`
`elec200`	`10.4650`	`11.0000`	`0.951`	`18439.29863902`	`18438.99267601`
`ex8_2_2`	`1375.4550`	`82.6420`	---	`-27671.65361246`	`mstat( 6) sstat(4)`
`ex8_2_2a`	`1.1780`	`118.9230`	`0.010`	`-552.66625615`	`-552.66024730`
`ex8_2_2b`	`1.4780`	`6.6280`	`0.223`	`-552.66625869`	`-551.76977066`
`ex8_2_3a`	`2.5510`	`64.3650`	`0.040`	`-3731.07929545`	`-3731.07808948`
`ex8_2_3b`	`2.9060`	`22.1670`	`0.131`	`-3731.07929545`	`-3730.72924771`
`ex8_2_5a`	`0.9030`	`183.9390`	`0.005`	`-830.33805402`	`-830.33802819`
`ex8_2_5b`	`1.2260`	`6.7640`	`0.181`	`-830.33806623`	`-830.07940808`
`flowchan100`	`0.0600`	`0.3330`	`0.180`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1160`	`1.0650`	`0.109`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2340`	`3.3790`	`0.069`	`0.00000000`	`0.00000000`
`gasoil100`	`0.0990`	`0.4980`	`0.199`	`0.00523659`	`0.00523659`
`gasoil200`	`0.1990`	`1.4750`	`0.135`	`0.00523660`	`0.00523660`
`gasoil400`	`0.4120`	`7.0000`	`0.059`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0530`	`0.2010`	`0.264`	`0.00523664`	`0.00523664`
`glider100`	`20.4410`	`1618.6330`	`0.013`	`-1255.05860055`	`-1255.05860055`
`glider200`	`9.1170`	`1.8010`	---	`-249.99882310`	`mstat( 5) sstat(1)`
`glider400`	`3600.0230`	`3599.9900`	---	`mstat( 6) sstat(3)`	`-252.52559804`
`glider50`	`3332.9840`	`76.3770`	---	`mstat( 5) sstat(1)`	`-1286.97737315`
`infeas1 (max)`	`0.2770`	`0.0160`	---	`13685.59646064`	`mstat( 4) sstat(1)`
`jbearing100`	`0.5000`	`40.0780`	`0.012`	`-0.15504173`	`-0.15504196`
`jbearing25`	`0.1200`	`7.0120`	`0.017`	`-0.15401538`	`-0.15401554`
`jbearing50`	`0.2430`	`30.7210`	`0.008`	`-0.15482405`	`-0.15482422`
`jbearing75`	`0.3710`	`24.6340`	`0.015`	`-0.15498434`	`-0.15498453`
`lnts100`	`0.0300`	`0.3100`	`0.097`	`0.55459540`	`0.55459540`
`lnts200`	`0.0530`	`1.4820`	`0.036`	`0.55457702`	`0.55457702`
`lnts400`	`0.1270`	`6.4850`	`0.020`	`0.55457241`	`0.55457241`
`methanol100`	`0.1840`	`0.8190`	`0.225`	`0.00902229`	`0.00902229`
`methanol200`	`0.4270`	`2.5090`	`0.170`	`0.00902229`	`0.00902229`
`methanol400`	`1.1180`	`8.4200`	`0.133`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`1.2120`	`0.074`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8020`	`307.3960`	`0.003`	`2.50694937`	`2.50694926`
`minsurf25`	`0.1280`	`5.7500`	`0.022`	`2.51948776`	`2.51948768`
`minsurf50`	`1.0390`	`67.6010`	`0.015`	`2.51488927`	`2.51488916`
`minsurf75`	`1.5330`	`155.1750`	`0.010`	`2.50568659`	`2.50568648`
`pinene100`	`0.2260`	`2.3520`	`0.096`	`19.87217015`	`19.87217014`
`pinene200`	`0.5150`	`10.7530`	`0.048`	`19.87216684`	`19.87216684`
`pinene25`	`0.1220`	`1.1890`	`0.103`	`19.87216552`	`19.87216552`
`pinene50`	`0.1220`	`1.0510`	`0.116`	`19.87216552`	`19.87216552`
`polygon100`	`2.0450`	`21.3800`	`0.096`	`-0.76681127`	`-0.78503127`
`polygon25`	`0.0410`	`0.0360`	`---`	`-0.77866123`	`-0.77973670`
`polygon50`	`1.5110`	`1.6020`	`0.943`	`-0.75755497`	`-0.78401305`
`polygon75`	`3.8940`	`5.3170`	`0.732`	`-0.77435383`	`-0.78478846`
`popdynm100`	`0.2320`	`1.9540`	`0.119`	`19746.52860217`	`19746.52860217`
`popdynm200`	`0.5410`	`6.1400`	`0.088`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.0790`	`0.3130`	`0.252`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.1270`	`1.0690`	`0.119`	`19746.54515628`	`19746.54515628`
`robot100`	`13.8240`	`0.8920`	`15.498`	`-2.0836462971935E+16`	`9.14268538`
`robot200`	`43.4290`	`7.1720`	---	`mstat( 5) sstat(1)`	`9.14139550`
`robot400`	`1.4650`	`73.1190`	`0.020`	`9.14102651`	`9.14102603`
`robot50`	`0.1560`	`0.1410`	`1.106`	`9.14687852`	`9.14687850`
`rocket100`	`2.1160`	`0.7420`	`2.852`	`-1.01283201`	`-1.01283202`
`rocket200`	`0.9550`	`4.6100`	`0.207`	`-1.01283566`	`-1.01283569`
`rocket400`	`22.3050`	`40.4500`	`0.551`	`-1.01283656`	`-1.01283661`
`torsion100`	`1.1140`	`19.8940`	`0.056`	`-0.41823906`	`-0.41823921`
`torsion25`	`0.1490`	`1.5050`	`0.099`	`-0.41751069`	`-0.41751073`
`torsion50`	`0.3360`	`14.2930`	`0.024`	`-0.41808756`	`-0.41808763`
`torsion75`	`0.6900`	`12.4500`	`0.055`	`-0.41819929`	`-0.41819940`