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 CONOPT 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:	CONOPT-1.trc
Solvers used :	KNITRO
	CONOPT
Modeltype(s)	`NLP`

	CONOPT: optimal	CONOPT: locally optimal	CONOPT: feasible	CONOPT: infeasible	CONOPT: unbounded	CONOPT: fail	CONOPT: no data	total KNITRO
KNITRO: optimal	-	-	-	-	-	-	-	`-`
KNITRO: locally optimal	-	`66`	-	`2`	-	`2`	-	`70`
KNITRO: feasible	-	`2`	-	-	`1`	-	-	`3`
KNITRO: infeasible	-	`2`	-	`1`	-	-	-	`3`
KNITRO: unbounded	-	-	-	-	-	-	-	`-`
KNITRO: fail	-	`2`	`1`	-	-	`2`	-	`5`
KNITRO: no data	-	-	-	-	-	-	-	`-`
total CONOPT	`-`	`72`	`1`	`3`	`1`	`4`	`-`	`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 -- CONOPT: locally optimal

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Obj (KNITRO)	Obj (CONOPT)
`arki0002`	`0.4550`	`0.9630`	`0.472`	`1.87252774`	`1.08668302`
`arki0004`	`0.2270`	`3.3540`	`0.068`	`323.46703884`	`327.73301341`
`arki0015`	`3.0810`	`0.7570`	`4.070`	`-263.62699897`	`-271.73572350`
`arki0016`	`3.7380`	`1107.5970`	`0.003`	`867.97316601`	`867.97316601`
`arki0017`	`0.4400`	`94.5180`	`0.005`	`-121.83308004`	`-121.83308010`
`arki0018`	`0.8450`	`1.2720`	`0.664`	`0.01045662`	`0.01045662`
`arki0020`	`0.1060`	`0.2000`	`0.530`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2890`	`0.9070`	`0.319`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.4560`	`1.1870`	`0.384`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.2170`	`3.7120`	`0.328`	`-153.66007775`	`-153.66007775`
`camshape400`	`0.2280`	`0.0460`	`4.957`	`-4.27568844`	`-4.27568848`
`camshape800`	`0.5100`	`0.2300`	`2.217`	`-4.27427406`	`-4.27427414`
`catmix100`	`0.1000`	`0.0460`	`2.174`	`-0.04806942`	`-0.04806940`
`catmix200`	`0.1440`	`0.0550`	`2.618`	`-0.04805913`	`-0.04805914`
`catmix400`	`0.0940`	`0.1440`	`0.653`	`-0.04805653`	`-0.04805654`
`catmix800`	`0.2150`	`0.4500`	`0.478`	`-0.04805587`	`-0.04805590`
`chain400`	`0.9940`	`0.1190`	`8.353`	`5.06862169`	`5.06862169`
`elec200`	`10.4650`	`9.6280`	`1.087`	`18439.29863902`	`18438.91507542`
`ex8_2_2a`	`1.1780`	`7.5910`	`0.155`	`-552.66625615`	`-552.66625942`
`ex8_2_2b`	`1.4780`	`9.0010`	`0.164`	`-552.66625869`	`-552.66625902`
`ex8_2_3a`	`2.5510`	`20.6320`	`0.124`	`-3731.07929545`	`-3731.07929501`
`ex8_2_3b`	`2.9060`	`20.5010`	`0.142`	`-3731.07929545`	`-3731.07929518`
`ex8_2_5a`	`0.9030`	`3.2450`	`0.278`	`-830.33805402`	`-830.33806704`
`ex8_2_5b`	`1.2260`	`2.9900`	`0.410`	`-830.33806623`	`-830.33806698`
`flowchan100`	`0.0600`	`0.0420`	`1.429`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1160`	`0.1220`	`0.951`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2340`	`0.2910`	`0.804`	`0.00000000`	`0.00000000`
`gasoil100`	`0.0990`	`0.1860`	`0.532`	`0.00523659`	`0.00523659`
`gasoil200`	`0.1990`	`0.3930`	`0.506`	`0.00523660`	`0.00523660`
`gasoil400`	`0.4120`	`0.8620`	`0.478`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0530`	`0.0970`	`0.546`	`0.00523664`	`0.00523664`
`infeas1`	`0.2770`	`0.2410`	`1.149`	`13685.59646064`	`13685.59646095`
`jbearing100`	`0.5000`	`0.5080`	`0.984`	`-0.15504173`	`-0.15504196`
`jbearing25`	`0.1200`	`1.4170`	`0.085`	`-0.15401538`	`-0.15401554`
`jbearing50`	`0.2430`	`0.1920`	`1.266`	`-0.15482405`	`-0.15482422`
`jbearing75`	`0.3710`	`0.3430`	`1.082`	`-0.15498434`	`-0.15498453`
`lnts100`	`0.0300`	`0.1230`	`0.244`	`0.55459540`	`0.55459540`
`lnts200`	`0.0530`	`0.3110`	`0.170`	`0.55457702`	`0.55457702`
`lnts400`	`0.1270`	`0.9830`	`0.129`	`0.55457241`	`0.55457241`
`methanol100`	`0.1840`	`0.1830`	`1.005`	`0.00902229`	`0.00902229`
`methanol200`	`0.4270`	`0.3870`	`1.103`	`0.00902229`	`0.00902229`
`methanol400`	`1.1180`	`0.9160`	`1.221`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`0.0910`	`0.989`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8020`	`0.5520`	`1.453`	`2.50694937`	`2.50694926`
`minsurf25`	`0.1280`	`0.8990`	`0.142`	`2.51948776`	`2.51948768`
`minsurf50`	`1.0390`	`0.1680`	`6.185`	`2.51488927`	`2.51488916`
`minsurf75`	`1.5330`	`0.3050`	`5.026`	`2.50568659`	`2.50568648`
`pinene100`	`0.2260`	`0.3440`	`0.657`	`19.87217015`	`19.87217014`
`pinene200`	`0.5150`	`1.4160`	`0.364`	`19.87216684`	`19.87216684`
`pinene25`	`0.1220`	`0.2330`	`0.524`	`19.87216552`	`19.87216067`
`pinene50`	`0.1220`	`0.2330`	`0.524`	`19.87216552`	`19.87216067`
`polygon100`	`2.0450`	`5.4050`	`0.378`	`-0.76681127`	`-0.78486056`
`polygon25`	`0.0410`	`0.1040`	`0.394`	`-0.77866123`	`-0.77825010`
`polygon50`	`1.5110`	`0.5740`	`2.632`	`-0.75755497`	`-0.78306429`
`polygon75`	`3.8940`	`2.7700`	`1.406`	`-0.77435383`	`-0.78441600`
`popdynm100`	`0.2320`	`3.3110`	`0.070`	`19746.52860217`	`19746.52860217`
`popdynm200`	`0.5410`	`4.4270`	`0.122`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.0790`	`1.1360`	`0.070`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.1270`	`0.8220`	`0.155`	`19746.54515628`	`19746.54515628`
`robot400`	`1.4650`	`1.7430`	`0.841`	`9.14102651`	`9.14102603`
`robot50`	`0.1560`	`0.1010`	`1.545`	`9.14687852`	`9.14687850`
`rocket400`	`22.3050`	`7.3270`	`3.044`	`-1.01283656`	`-1.01283660`
`torsion100`	`1.1140`	`2.8130`	`0.396`	`-0.41823906`	`-0.41823921`
`torsion25`	`0.1490`	`0.5190`	`0.287`	`-0.41751069`	`-0.41751073`
`torsion50`	`0.3360`	`1.1460`	`0.293`	`-0.41808756`	`-0.41808763`
`torsion75`	`0.6900`	`2.1170`	`0.326`	`-0.41819929`	`-0.41819940`

KNITRO: locally optimal -- CONOPT: infeasible

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Obj (KNITRO)	Status (CONOPT)
`glider100`	`20.4410`	`3.3770`	---	`-1255.05860055`	`mstat( 5)sstat( 1)`
`glider200`	`9.1170`	`6.6630`	---	`-249.99882310`	`mstat( 5)sstat( 1)`

KNITRO: locally optimal -- CONOPT: fail

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Obj (KNITRO)	Status (CONOPT)
`rocket100`	`2.1160`	`0.6340`	---	`-1.01283201`	`mstat( 6)sstat( 4)`
`rocket200`	`0.9550`	`1.0570`	---	`-1.01283566`	`mstat( 6)sstat( 4)`

KNITRO: feasible -- CONOPT: locally optimal

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Obj (KNITRO)	Obj (CONOPT)
`arki0011`	`3600.0630`	`6.5860`	`546.624`	`-224030.30400485`	`-224086.46003881`
`robot100`	`13.8240`	`0.2140`	`64.598`	`-2.0836462971935E+16`	`9.14268538`

KNITRO: feasible -- CONOPT: unbounded

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Obj (KNITRO)	Status (CONOPT)
`ex8_2_2`	`1375.4550`	`1.7750`	---	`-27671.65361246`	`mstat( 3)sstat( 1)`

KNITRO: infeasible -- CONOPT: locally optimal

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Status (KNITRO)	Obj (CONOPT)
`glider50`	`3332.9840`	`6.9400`	---	`mstat( 5)sstat( 1)`	`-1286.97737315`
`robot200`	`43.4290`	`0.8580`	---	`mstat( 5)sstat( 1)`	`9.14139550`

KNITRO: infeasible -- CONOPT: infeasible

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Status (KNITRO)	Status (CONOPT)
`arki0008`	`128.8140`	`24.1840`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

KNITRO: fail -- CONOPT: locally optimal

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Status (KNITRO)	Obj (CONOPT)
`arki0003`	`3600.0300`	`5.0250`	---	`mstat( 6)sstat( 3)`	`3795.20606743`
`arki0013`	`3600.0690`	`745.9290`	---	`mstat( 6)sstat( 3)`	`-224253.08922164`

KNITRO: fail -- CONOPT: feasible

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Status (KNITRO)	Obj (CONOPT)
`glider400`	`3600.0230`	`45.2300`	---	`mstat( 6)sstat( 3)`	`-298.24695974`

KNITRO: fail -- CONOPT: fail

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/CONOPT)	Status (KNITRO)	Status (CONOPT)
`arki0012`	`3600.1350`	`15.0240`	---	`mstat( 6)sstat( 3)`	`mstat( 6)sstat( 4)`
`arki0014`	`3600.0960`	`11.0840`	---	`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)`

CONOPT: locally optimal:

Modelname	Time (CONOPT)	Obj (CONOPT)
`arki0002`	`0.9630`	`1.08668302`
`arki0003`	`5.0250`	`3795.20606743`
`arki0004`	`3.3540`	`327.73301341`
`arki0011`	`6.5860`	`-224086.46003881`
`arki0013`	`745.9290`	`-224253.08922164`
`arki0015`	`0.7570`	`-271.73572350`
`arki0016`	`1107.5970`	`867.97316601`
`arki0017`	`94.5180`	`-121.83308010`
`arki0018`	`1.2720`	`0.01045662`
`arki0020`	`0.2000`	`-41.07495436`
`arki0021`	`0.9070`	`-72.58210091`
`arki0022`	`1.1870`	`-87.09909127`
`arki0023`	`3.7120`	`-153.66007775`
`camshape400`	`0.0460`	`-4.27568848`
`camshape800`	`0.2300`	`-4.27427414`
`catmix100`	`0.0460`	`-0.04806940`
`catmix200`	`0.0550`	`-0.04805914`
`catmix400`	`0.1440`	`-0.04805654`
`catmix800`	`0.4500`	`-0.04805590`
`chain400`	`0.1190`	`5.06862169`
`elec200`	`9.6280`	`18438.91507542`
`ex8_2_2a`	`7.5910`	`-552.66625942`
`ex8_2_2b`	`9.0010`	`-552.66625902`
`ex8_2_3a`	`20.6320`	`-3731.07929501`
`ex8_2_3b`	`20.5010`	`-3731.07929518`
`ex8_2_5a`	`3.2450`	`-830.33806704`
`ex8_2_5b`	`2.9900`	`-830.33806698`
`flowchan100`	`0.0420`	`0.00000000`
`flowchan200`	`0.1220`	`0.00000000`
`flowchan400`	`0.2910`	`0.00000000`
`gasoil100`	`0.1860`	`0.00523659`
`gasoil200`	`0.3930`	`0.00523660`
`gasoil400`	`0.8620`	`0.00523660`
`gasoil50`	`0.0970`	`0.00523664`
`glider50`	`6.9400`	`-1286.97737315`
`infeas1`	`0.2410`	`13685.59646095`
`jbearing100`	`0.5080`	`-0.15504196`
`jbearing25`	`1.4170`	`-0.15401554`
`jbearing50`	`0.1920`	`-0.15482422`
`jbearing75`	`0.3430`	`-0.15498453`
`lnts100`	`0.1230`	`0.55459540`
`lnts200`	`0.3110`	`0.55457702`
`lnts400`	`0.9830`	`0.55457241`
`methanol100`	`0.1830`	`0.00902229`
`methanol200`	`0.3870`	`0.00902229`
`methanol400`	`0.9160`	`0.00902229`
`methanol50`	`0.0910`	`0.00902229`
`minsurf100`	`0.5520`	`2.50694926`
`minsurf25`	`0.8990`	`2.51948768`
`minsurf50`	`0.1680`	`2.51488916`
`minsurf75`	`0.3050`	`2.50568648`
`pinene100`	`0.3440`	`19.87217014`
`pinene200`	`1.4160`	`19.87216684`
`pinene25`	`0.2330`	`19.87216067`
`pinene50`	`0.2330`	`19.87216067`
`polygon100`	`5.4050`	`-0.78486056`
`polygon25`	`0.1040`	`-0.77825010`
`polygon50`	`0.5740`	`-0.78306429`
`polygon75`	`2.7700`	`-0.78441600`
`popdynm100`	`3.3110`	`19746.52860217`
`popdynm200`	`4.4270`	`19746.52964660`
`popdynm25`	`1.1360`	`19752.21541511`
`popdynm50`	`0.8220`	`19746.54515628`
`robot100`	`0.2140`	`9.14268538`
`robot200`	`0.8580`	`9.14139550`
`robot400`	`1.7430`	`9.14102603`
`robot50`	`0.1010`	`9.14687850`
`rocket400`	`7.3270`	`-1.01283660`
`torsion100`	`2.8130`	`-0.41823921`
`torsion25`	`0.5190`	`-0.41751073`
`torsion50`	`1.1460`	`-0.41808763`
`torsion75`	`2.1170`	`-0.41819940`

CONOPT: feasible:

Modelname	Time (CONOPT)	Obj (CONOPT)
`glider400`	`45.2300`	`-298.24695974`

CONOPT: infeasible:

Modelname	Time (CONOPT)	Status (CONOPT)
`arki0008`	`--`	`mstat( 5)sstat( 1)`
`glider100`	`--`	`mstat( 5)sstat( 1)`
`glider200`	`--`	`mstat( 5)sstat( 1)`

CONOPT: unbounded:

Modelname	Time (CONOPT)	Status (CONOPT)
`ex8_2_2`	`1.7750`	`mstat( 3)sstat( 1)`

CONOPT: fail:

Modelname	Time (CONOPT)	Status (CONOPT)
`arki0012`	`--`	`mstat( 6)sstat( 4)`
`arki0014`	`--`	`mstat( 6)sstat( 4)`
`rocket100`	`--`	`mstat( 6)sstat( 4)`
`rocket200`	`--`	`mstat( 6)sstat( 4)`

KNITRO: all -- CONOPT: all

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

Modelname	Time (KNITRO)	Time (CONOPT)	Ratio (KNITRO/ CONOPT)	Obj (KNITRO)	Obj (CONOPT)
`arki0002`	`0.4550`	`0.9630`	`0.472`	`1.87252774`	`1.08668302`
`arki0003`	`3600.0300`	`5.0250`	---	`mstat( 6) sstat(3)`	`3795.20606743`
`arki0004`	`0.2270`	`3.3540`	`0.068`	`323.46703884`	`327.73301341`
`arki0008`	`128.8140`	`24.1840`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`arki0011`	`3600.0630`	`6.5860`	`546.624`	`-224030.30400485`	`-224086.46003881`
`arki0012`	`3600.1350`	`15.0240`	---	`mstat( 6) sstat(3)`	`mstat( 6) sstat(4)`
`arki0013`	`3600.0690`	`745.9290`	---	`mstat( 6) sstat(3)`	`-224253.08922164`
`arki0014`	`3600.0960`	`11.0840`	---	`mstat( 6) sstat(3)`	`mstat( 6) sstat(4)`
`arki0015`	`3.0810`	`0.7570`	`4.070`	`-263.62699897`	`-271.73572350`
`arki0016`	`3.7380`	`1107.5970`	`0.003`	`867.97316601`	`867.97316601`
`arki0017`	`0.4400`	`94.5180`	`0.005`	`-121.83308004`	`-121.83308010`
`arki0018`	`0.8450`	`1.2720`	`0.664`	`0.01045662`	`0.01045662`
`arki0020`	`0.1060`	`0.2000`	`0.530`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2890`	`0.9070`	`0.319`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.4560`	`1.1870`	`0.384`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.2170`	`3.7120`	`0.328`	`-153.66007775`	`-153.66007775`
`camshape400`	`0.2280`	`0.0460`	`4.957`	`-4.27568844`	`-4.27568848`
`camshape800`	`0.5100`	`0.2300`	`2.217`	`-4.27427406`	`-4.27427414`
`catmix100`	`0.1000`	`0.0460`	`2.174`	`-0.04806942`	`-0.04806940`
`catmix200`	`0.1440`	`0.0550`	`2.618`	`-0.04805913`	`-0.04805914`
`catmix400`	`0.0940`	`0.1440`	`0.653`	`-0.04805653`	`-0.04805654`
`catmix800`	`0.2150`	`0.4500`	`0.478`	`-0.04805587`	`-0.04805590`
`chain400`	`0.9940`	`0.1190`	`8.353`	`5.06862169`	`5.06862169`
`elec200`	`10.4650`	`9.6280`	`1.087`	`18439.29863902`	`18438.91507542`
`ex8_2_2`	`1375.4550`	`1.7750`	---	`-27671.65361246`	`mstat( 3) sstat(1)`
`ex8_2_2a`	`1.1780`	`7.5910`	`0.155`	`-552.66625615`	`-552.66625942`
`ex8_2_2b`	`1.4780`	`9.0010`	`0.164`	`-552.66625869`	`-552.66625902`
`ex8_2_3a`	`2.5510`	`20.6320`	`0.124`	`-3731.07929545`	`-3731.07929501`
`ex8_2_3b`	`2.9060`	`20.5010`	`0.142`	`-3731.07929545`	`-3731.07929518`
`ex8_2_5a`	`0.9030`	`3.2450`	`0.278`	`-830.33805402`	`-830.33806704`
`ex8_2_5b`	`1.2260`	`2.9900`	`0.410`	`-830.33806623`	`-830.33806698`
`flowchan100`	`0.0600`	`0.0420`	`1.429`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1160`	`0.1220`	`0.951`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2340`	`0.2910`	`0.804`	`0.00000000`	`0.00000000`
`gasoil100`	`0.0990`	`0.1860`	`0.532`	`0.00523659`	`0.00523659`
`gasoil200`	`0.1990`	`0.3930`	`0.506`	`0.00523660`	`0.00523660`
`gasoil400`	`0.4120`	`0.8620`	`0.478`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0530`	`0.0970`	`0.546`	`0.00523664`	`0.00523664`
`glider100`	`20.4410`	`3.3770`	---	`-1255.05860055`	`mstat( 5) sstat(1)`
`glider200`	`9.1170`	`6.6630`	---	`-249.99882310`	`mstat( 5) sstat(1)`
`glider400`	`3600.0230`	`45.2300`	---	`mstat( 6) sstat(3)`	`-298.24695974`
`glider50`	`3332.9840`	`6.9400`	---	`mstat( 5) sstat(1)`	`-1286.97737315`
`infeas1 (max)`	`0.2770`	`0.2410`	`1.149`	`13685.59646064`	`13685.59646095`
`jbearing100`	`0.5000`	`0.5080`	`0.984`	`-0.15504173`	`-0.15504196`
`jbearing25`	`0.1200`	`1.4170`	`0.085`	`-0.15401538`	`-0.15401554`
`jbearing50`	`0.2430`	`0.1920`	`1.266`	`-0.15482405`	`-0.15482422`
`jbearing75`	`0.3710`	`0.3430`	`1.082`	`-0.15498434`	`-0.15498453`
`lnts100`	`0.0300`	`0.1230`	`0.244`	`0.55459540`	`0.55459540`
`lnts200`	`0.0530`	`0.3110`	`0.170`	`0.55457702`	`0.55457702`
`lnts400`	`0.1270`	`0.9830`	`0.129`	`0.55457241`	`0.55457241`
`methanol100`	`0.1840`	`0.1830`	`1.005`	`0.00902229`	`0.00902229`
`methanol200`	`0.4270`	`0.3870`	`1.103`	`0.00902229`	`0.00902229`
`methanol400`	`1.1180`	`0.9160`	`1.221`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`0.0910`	`0.989`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8020`	`0.5520`	`1.453`	`2.50694937`	`2.50694926`
`minsurf25`	`0.1280`	`0.8990`	`0.142`	`2.51948776`	`2.51948768`
`minsurf50`	`1.0390`	`0.1680`	`6.185`	`2.51488927`	`2.51488916`
`minsurf75`	`1.5330`	`0.3050`	`5.026`	`2.50568659`	`2.50568648`
`pinene100`	`0.2260`	`0.3440`	`0.657`	`19.87217015`	`19.87217014`
`pinene200`	`0.5150`	`1.4160`	`0.364`	`19.87216684`	`19.87216684`
`pinene25`	`0.1220`	`0.2330`	`0.524`	`19.87216552`	`19.87216067`
`pinene50`	`0.1220`	`0.2330`	`0.524`	`19.87216552`	`19.87216067`
`polygon100`	`2.0450`	`5.4050`	`0.378`	`-0.76681127`	`-0.78486056`
`polygon25`	`0.0410`	`0.1040`	`0.394`	`-0.77866123`	`-0.77825010`
`polygon50`	`1.5110`	`0.5740`	`2.632`	`-0.75755497`	`-0.78306429`
`polygon75`	`3.8940`	`2.7700`	`1.406`	`-0.77435383`	`-0.78441600`
`popdynm100`	`0.2320`	`3.3110`	`0.070`	`19746.52860217`	`19746.52860217`
`popdynm200`	`0.5410`	`4.4270`	`0.122`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.0790`	`1.1360`	`0.070`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.1270`	`0.8220`	`0.155`	`19746.54515628`	`19746.54515628`
`robot100`	`13.8240`	`0.2140`	`64.598`	`-2.0836462971935E+16`	`9.14268538`
`robot200`	`43.4290`	`0.8580`	---	`mstat( 5) sstat(1)`	`9.14139550`
`robot400`	`1.4650`	`1.7430`	`0.841`	`9.14102651`	`9.14102603`
`robot50`	`0.1560`	`0.1010`	`1.545`	`9.14687852`	`9.14687850`
`rocket100`	`2.1160`	`0.6340`	---	`-1.01283201`	`mstat( 6) sstat(4)`
`rocket200`	`0.9550`	`1.0570`	---	`-1.01283566`	`mstat( 6) sstat(4)`
`rocket400`	`22.3050`	`7.3270`	`3.044`	`-1.01283656`	`-1.01283660`
`torsion100`	`1.1140`	`2.8130`	`0.396`	`-0.41823906`	`-0.41823921`
`torsion25`	`0.1490`	`0.5190`	`0.287`	`-0.41751069`	`-0.41751073`
`torsion50`	`0.3360`	`1.1460`	`0.293`	`-0.41808756`	`-0.41808763`
`torsion75`	`0.6900`	`2.1170`	`0.326`	`-0.41819929`	`-0.41819940`