Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 03/04/11 12:14:17 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-MUMPS 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-2.trc
Tracefile 2:	MINOS-1.trc
Solvers used :	IPOPT-MUMPS
	MINOS
Modeltype(s)	`NLP`

	MINOS: optimal	MINOS: locally optimal	MINOS: feasible	MINOS: infeasible	MINOS: unbounded	MINOS: fail	MINOS: no data	total IPOPT-MUMPS
IPOPT-MUMPS: optimal	-	-	-	-	-	-	-	`-`
IPOPT-MUMPS: locally optimal	-	`61`	`7`	`3`	`1`	-	-	`72`
IPOPT-MUMPS: feasible	-	`1`	-	`1`	-	-	-	`2`
IPOPT-MUMPS: infeasible	-	-	-	`3`	-	-	-	`3`
IPOPT-MUMPS: unbounded	-	-	-	-	-	-	-	`-`
IPOPT-MUMPS: fail	-	`1`	-	`1`	`2`	-	-	`4`
IPOPT-MUMPS: 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-MUMPS: locally optimal -- MINOS: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Obj (IPOPT-MUMPS)	Obj (MINOS)
`arki0002`	`0.3320`	`1.9580`	`0.170`	`1.87252774`	`1.07456972`
`arki0004`	`2.7390`	`9.8750`	`0.277`	`323.46703883`	`327.73301341`
`arki0011`	`93.2640`	`22.9860`	`4.057`	`-224086.45997864`	`-224086.46003864`
`arki0012`	`89.1190`	`797.4310`	`0.112`	`-224252.27283280`	`-224252.44487324`
`arki0013`	`146.4110`	`880.9330`	`0.166`	`-224253.08644157`	`-224253.08694287`
`arki0014`	`88.4720`	`1082.3590`	`0.082`	`-223976.64178451`	`-223977.09267384`
`arki0015`	`4.5130`	`3.6360`	`1.241`	`-266.94068809`	`-272.29977889`
`arki0020`	`0.1470`	`9.1250`	`0.016`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4450`	`106.4350`	`0.004`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7380`	`221.9420`	`0.003`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.4360`	`1645.3910`	`0.001`	`-153.66007775`	`-153.66007775`
`catmix100`	`0.0840`	`0.3670`	`0.229`	`-0.04806941`	`-0.04806941`
`catmix200`	`0.0900`	`0.5880`	`0.153`	`-0.04805914`	`-0.04805910`
`catmix400`	`0.1640`	`0.7280`	`0.225`	`-0.04805654`	`-0.04805651`
`catmix800`	`0.2790`	`1.4540`	`0.192`	`-0.04805590`	`-0.04805585`
`chain400`	`0.0610`	`1.9960`	`0.031`	`5.06862169`	`5.06862169`
`ex8_2_2a`	`3.7210`	`35.2220`	`0.106`	`-552.66625903`	`-552.64225587`
`ex8_2_2b`	`5.0930`	`7.7070`	`0.661`	`-552.66625998`	`-551.59248905`
`ex8_2_3b`	`8.6350`	`39.2120`	`0.220`	`-3731.07929695`	`-3730.72313819`
`ex8_2_5a`	`2.2240`	`25.8150`	`0.086`	`-830.33806763`	`-830.33212752`
`ex8_2_5b`	`3.8270`	`5.6660`	`0.675`	`-830.33806763`	`-829.34539825`
`flowchan100`	`0.1070`	`0.0270`	`3.963`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2160`	`0.0840`	`2.571`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4320`	`0.2940`	`1.469`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4290`	`0.3680`	`1.166`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7050`	`1.4800`	`0.476`	`0.00523660`	`0.00523660`
`gasoil400`	`1.5490`	`5.1410`	`0.301`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1690`	`0.1850`	`0.914`	`0.00523664`	`0.00523664`
`infeas1`	`0.7390`	`0.3290`	`2.246`	`13685.59647017`	`13685.59644600`
`jbearing100`	`0.7220`	`90.7350`	`0.008`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.1740`	`2.4350`	`0.071`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.3200`	`14.1150`	`0.023`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.5130`	`44.0440`	`0.012`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.0900`	`0.2690`	`0.335`	`0.55459540`	`0.55459540`
`lnts200`	`0.1420`	`1.1790`	`0.120`	`0.55457702`	`0.55457702`
`lnts400`	`0.2830`	`5.4380`	`0.052`	`0.55457241`	`0.55457241`
`methanol100`	`0.4600`	`0.6870`	`0.670`	`0.00902229`	`0.00902229`
`methanol200`	`4.5890`	`2.0110`	`2.282`	`0.00902229`	`0.00902229`
`methanol400`	`5.3420`	`7.2970`	`0.732`	`0.00902229`	`0.00902229`
`methanol50`	`0.1660`	`0.5020`	`0.331`	`0.00902229`	`0.00902229`
`minsurf100`	`0.7840`	`174.5360`	`0.004`	`2.50694962`	`2.50694926`
`minsurf25`	`0.1680`	`3.1270`	`0.054`	`2.51948798`	`2.51948768`
`minsurf50`	`0.3480`	`20.4680`	`0.017`	`2.51489003`	`2.51488916`
`minsurf75`	`2.0900`	`74.9040`	`0.028`	`2.50568665`	`2.50568648`
`pinene100`	`0.4770`	`0.8570`	`0.557`	`19.87217015`	`19.87217013`
`pinene200`	`0.9780`	`3.8370`	`0.255`	`19.87216684`	`19.87216686`
`pinene25`	`0.2660`	`0.2680`	`0.993`	`19.87216552`	`19.87216552`
`pinene50`	`0.2630`	`0.2660`	`0.989`	`19.87216552`	`19.87216552`
`polygon100`	`1.5450`	`21.1860`	`0.073`	`-0.78505614`	`-0.67908505`
`polygon25`	`0.0910`	`0.0900`	`1.011`	`-0.77974054`	`-0.75541069`
`polygon50`	`1.1850`	`1.2800`	`0.926`	`-0.78213256`	`-0.77264788`
`polygon75`	`3.0070`	`2.8140`	`1.069`	`-0.78446376`	`-0.77115682`
`robot200`	`0.8960`	`1.7730`	`0.505`	`9.14139688`	`9.14139550`
`robot400`	`2.7410`	`7.1280`	`0.385`	`9.14102607`	`9.14102603`
`rocket100`	`9.7010`	`1.2360`	`7.849`	`-1.01283202`	`-1.01283199`
`rocket200`	`78.3440`	`1.9560`	`40.053`	`-1.01283569`	`-1.01283556`
`rocket400`	`920.4500`	`4.7130`	`195.300`	`-1.01283661`	`-1.01283632`
`torsion100`	`0.7580`	`100.5560`	`0.008`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1630`	`1.6000`	`0.102`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.3800`	`12.4720`	`0.030`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.5740`	`42.8410`	`0.013`	`-0.41819939`	`-0.41819940`

IPOPT-MUMPS: locally optimal -- MINOS: feasible

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Obj (IPOPT-MUMPS)	Obj (MINOS)
`arki0016`	`16.7380`	`0.7560`	`22.140`	`867.97316601`	`1490.79918829`
`arki0018`	`0.6620`	`3600.1010`	`0.000`	`0.01045662`	`0.01045892`
`ex8_2_3a`	`7.3830`	`1.9690`	`3.750`	`-3731.07929678`	`-3282.93488482`
`popdynm100`	`0.5200`	`1.0300`	`0.505`	`19746.52860214`	`19746.52860217`
`popdynm200`	`1.2240`	`3.2290`	`0.379`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.2880`	`0.1750`	`1.646`	`19752.21541508`	`19752.21541511`
`popdynm50`	`1.0060`	`0.3440`	`2.924`	`19746.54515625`	`19746.54515628`

IPOPT-MUMPS: locally optimal -- MINOS: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Obj (IPOPT-MUMPS)	Status (MINOS)
`arki0017`	`1.4940`	`1.9520`	---	`-121.83308011`	`mstat( 5)sstat( 1)`
`camshape400`	`1.4250`	`0.0770`	---	`-4.27569663`	`mstat( 5)sstat( 1)`
`camshape800`	`559.8860`	`0.2190`	---	`-4.27430687`	`mstat( 5)sstat( 1)`

IPOPT-MUMPS: locally optimal -- MINOS: unbounded

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Obj (IPOPT-MUMPS)	Status (MINOS)
`elec200`	`19.5520`	`78.8760`	---	`18439.26774952`	`mstat( 3)sstat( 1)`

IPOPT-MUMPS: feasible -- MINOS: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Obj (IPOPT-MUMPS)	Obj (MINOS)
`robot50`	`3610.4260`	`0.1930`	`18706.870`	`0.00000000`	`9.14687850`

IPOPT-MUMPS: feasible -- MINOS: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Obj (IPOPT-MUMPS)	Status (MINOS)
`arki0003`	`3606.7630`	`2.7470`	---	`0.00000000`	`mstat( 5)sstat( 1)`

IPOPT-MUMPS: infeasible -- MINOS: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Status (IPOPT-MUMPS)	Status (MINOS)
`glider100`	`2.0810`	`0.3570`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider400`	`8.5880`	`2.0520`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider50`	`0.7920`	`0.2010`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

IPOPT-MUMPS: fail -- MINOS: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Status (IPOPT-MUMPS)	Obj (MINOS)
`robot100`	`3606.1300`	`0.5140`	---	`mstat( 6)sstat( 3)`	`9.14268538`

IPOPT-MUMPS: fail -- MINOS: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Status (IPOPT-MUMPS)	Status (MINOS)
`glider200`	`3672.8230`	`0.6970`	---	`mstat( 6)sstat( 3)`	`mstat( 5)sstat( 1)`

IPOPT-MUMPS: fail -- MINOS: unbounded

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/MINOS)	Status (IPOPT-MUMPS)	Status (MINOS)
`arki0008`	`NA`	`46.6820`	---	`mstat(13)sstat(13)`	`mstat( 3)sstat( 1)`
`ex8_2_2`	`NA`	`0.4040`	---	`mstat(13)sstat(13)`	`mstat( 3)sstat( 1)`

IPOPT-MUMPS: locally optimal:

Modelname	Time (IPOPT-MUMPS)	Obj (IPOPT-MUMPS)
`arki0002`	`0.3320`	`1.87252774`
`arki0004`	`2.7390`	`323.46703883`
`arki0011`	`93.2640`	`-224086.45997864`
`arki0012`	`89.1190`	`-224252.27283280`
`arki0013`	`146.4110`	`-224253.08644157`
`arki0014`	`88.4720`	`-223976.64178451`
`arki0015`	`4.5130`	`-266.94068809`
`arki0016`	`16.7380`	`867.97316601`
`arki0017`	`1.4940`	`-121.83308011`
`arki0018`	`0.6620`	`0.01045662`
`arki0020`	`0.1470`	`-41.07495436`
`arki0021`	`0.4450`	`-72.58210091`
`arki0022`	`0.7380`	`-87.09909127`
`arki0023`	`1.4360`	`-153.66007775`
`camshape400`	`1.4250`	`-4.27569663`
`camshape800`	`559.8860`	`-4.27430687`
`catmix100`	`0.0840`	`-0.04806941`
`catmix200`	`0.0900`	`-0.04805914`
`catmix400`	`0.1640`	`-0.04805654`
`catmix800`	`0.2790`	`-0.04805590`
`chain400`	`0.0610`	`5.06862169`
`elec200`	`19.5520`	`18439.26774952`
`ex8_2_2a`	`3.7210`	`-552.66625903`
`ex8_2_2b`	`5.0930`	`-552.66625998`
`ex8_2_3a`	`7.3830`	`-3731.07929678`
`ex8_2_3b`	`8.6350`	`-3731.07929695`
`ex8_2_5a`	`2.2240`	`-830.33806763`
`ex8_2_5b`	`3.8270`	`-830.33806763`
`flowchan100`	`0.1070`	`0.00000000`
`flowchan200`	`0.2160`	`0.00000000`
`flowchan400`	`0.4320`	`0.00000000`
`gasoil100`	`0.4290`	`0.00523659`
`gasoil200`	`0.7050`	`0.00523660`
`gasoil400`	`1.5490`	`0.00523660`
`gasoil50`	`0.1690`	`0.00523664`
`infeas1`	`0.7390`	`13685.59647017`
`jbearing100`	`0.7220`	`-0.15504194`
`jbearing25`	`0.1740`	`-0.15401551`
`jbearing50`	`0.3200`	`-0.15482381`
`jbearing75`	`0.5130`	`-0.15498446`
`lnts100`	`0.0900`	`0.55459540`
`lnts200`	`0.1420`	`0.55457702`
`lnts400`	`0.2830`	`0.55457241`
`methanol100`	`0.4600`	`0.00902229`
`methanol200`	`4.5890`	`0.00902229`
`methanol400`	`5.3420`	`0.00902229`
`methanol50`	`0.1660`	`0.00902229`
`minsurf100`	`0.7840`	`2.50694962`
`minsurf25`	`0.1680`	`2.51948798`
`minsurf50`	`0.3480`	`2.51489003`
`minsurf75`	`2.0900`	`2.50568665`
`pinene100`	`0.4770`	`19.87217015`
`pinene200`	`0.9780`	`19.87216684`
`pinene25`	`0.2660`	`19.87216552`
`pinene50`	`0.2630`	`19.87216552`
`polygon100`	`1.5450`	`-0.78505614`
`polygon25`	`0.0910`	`-0.77974054`
`polygon50`	`1.1850`	`-0.78213256`
`polygon75`	`3.0070`	`-0.78446376`
`popdynm100`	`0.5200`	`19746.52860214`
`popdynm200`	`1.2240`	`19746.52964658`
`popdynm25`	`0.2880`	`19752.21541508`
`popdynm50`	`1.0060`	`19746.54515625`
`robot200`	`0.8960`	`9.14139688`
`robot400`	`2.7410`	`9.14102607`
`rocket100`	`9.7010`	`-1.01283202`
`rocket200`	`78.3440`	`-1.01283569`
`rocket400`	`920.4500`	`-1.01283661`
`torsion100`	`0.7580`	`-0.41823920`
`torsion25`	`0.1630`	`-0.41751073`
`torsion50`	`0.3800`	`-0.41808762`
`torsion75`	`0.5740`	`-0.41819939`

IPOPT-MUMPS: feasible:

Modelname	Time (IPOPT-MUMPS)	Obj (IPOPT-MUMPS)
`arki0003`	`3606.7630`	`0.00000000`
`robot50`	`3610.4260`	`0.00000000`

IPOPT-MUMPS: infeasible:

Modelname	Time (IPOPT-MUMPS)	Status (IPOPT-MUMPS)
`glider100`	`--`	`mstat( 5) sstat( 1)`
`glider400`	`--`	`mstat( 5) sstat( 1)`
`glider50`	`--`	`mstat( 5) sstat( 1)`

IPOPT-MUMPS: fail:

Modelname	Time (IPOPT-MUMPS)	Status (IPOPT-MUMPS)
`arki0008`	`--`	`mstat(13) sstat(13)`
`ex8_2_2`	`--`	`mstat(13) sstat(13)`
`glider200`	`--`	`mstat( 6) sstat( 3)`
`robot100`	`--`	`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-MUMPS: all -- MINOS: all

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

Modelname	Time (IPOPT-MUMPS)	Time (MINOS)	Ratio (IPOPT-MUMPS/ MINOS)	Obj (IPOPT-MUMPS)	Obj (MINOS)
`arki0002`	`0.3320`	`1.9580`	`0.170`	`1.87252774`	`1.07456972`
`arki0003`	`3606.7630`	`2.7470`	---	`0.00000000`	`mstat( 5) sstat(1)`
`arki0004`	`2.7390`	`9.8750`	`0.277`	`323.46703883`	`327.73301341`
`arki0008`	`NA`	`46.6820`	---	`mstat(13) sstat(13)`	`mstat( 3) sstat(1)`
`arki0011`	`93.2640`	`22.9860`	`4.057`	`-224086.45997864`	`-224086.46003864`
`arki0012`	`89.1190`	`797.4310`	`0.112`	`-224252.27283280`	`-224252.44487324`
`arki0013`	`146.4110`	`880.9330`	`0.166`	`-224253.08644157`	`-224253.08694287`
`arki0014`	`88.4720`	`1082.3590`	`0.082`	`-223976.64178451`	`-223977.09267384`
`arki0015`	`4.5130`	`3.6360`	`1.241`	`-266.94068809`	`-272.29977889`
`arki0016`	`16.7380`	`0.7560`	`22.140`	`867.97316601`	`1490.79918829`
`arki0017`	`1.4940`	`1.9520`	---	`-121.83308011`	`mstat( 5) sstat(1)`
`arki0018`	`0.6620`	`3600.1010`	`0.000`	`0.01045662`	`0.01045892`
`arki0020`	`0.1470`	`9.1250`	`0.016`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4450`	`106.4350`	`0.004`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7380`	`221.9420`	`0.003`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.4360`	`1645.3910`	`0.001`	`-153.66007775`	`-153.66007775`
`camshape400`	`1.4250`	`0.0770`	---	`-4.27569663`	`mstat( 5) sstat(1)`
`camshape800`	`559.8860`	`0.2190`	---	`-4.27430687`	`mstat( 5) sstat(1)`
`catmix100`	`0.0840`	`0.3670`	`0.229`	`-0.04806941`	`-0.04806941`
`catmix200`	`0.0900`	`0.5880`	`0.153`	`-0.04805914`	`-0.04805910`
`catmix400`	`0.1640`	`0.7280`	`0.225`	`-0.04805654`	`-0.04805651`
`catmix800`	`0.2790`	`1.4540`	`0.192`	`-0.04805590`	`-0.04805585`
`chain400`	`0.0610`	`1.9960`	`0.031`	`5.06862169`	`5.06862169`
`elec200`	`19.5520`	`78.8760`	---	`18439.26774952`	`mstat( 3) sstat(1)`
`ex8_2_2`	`NA`	`0.4040`	---	`mstat(13) sstat(13)`	`mstat( 3) sstat(1)`
`ex8_2_2a`	`3.7210`	`35.2220`	`0.106`	`-552.66625903`	`-552.64225587`
`ex8_2_2b`	`5.0930`	`7.7070`	`0.661`	`-552.66625998`	`-551.59248905`
`ex8_2_3a`	`7.3830`	`1.9690`	`3.750`	`-3731.07929678`	`-3282.93488482`
`ex8_2_3b`	`8.6350`	`39.2120`	`0.220`	`-3731.07929695`	`-3730.72313819`
`ex8_2_5a`	`2.2240`	`25.8150`	`0.086`	`-830.33806763`	`-830.33212752`
`ex8_2_5b`	`3.8270`	`5.6660`	`0.675`	`-830.33806763`	`-829.34539825`
`flowchan100`	`0.1070`	`0.0270`	`3.963`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2160`	`0.0840`	`2.571`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4320`	`0.2940`	`1.469`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4290`	`0.3680`	`1.166`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7050`	`1.4800`	`0.476`	`0.00523660`	`0.00523660`
`gasoil400`	`1.5490`	`5.1410`	`0.301`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1690`	`0.1850`	`0.914`	`0.00523664`	`0.00523664`
`glider100`	`2.0810`	`0.3570`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider200`	`3672.8230`	`0.6970`	---	`mstat( 6) sstat(3)`	`mstat( 5) sstat(1)`
`glider400`	`8.5880`	`2.0520`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider50`	`0.7920`	`0.2010`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`infeas1 (max)`	`0.7390`	`0.3290`	`2.246`	`13685.59647017`	`13685.59644600`
`jbearing100`	`0.7220`	`90.7350`	`0.008`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.1740`	`2.4350`	`0.071`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.3200`	`14.1150`	`0.023`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.5130`	`44.0440`	`0.012`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.0900`	`0.2690`	`0.335`	`0.55459540`	`0.55459540`
`lnts200`	`0.1420`	`1.1790`	`0.120`	`0.55457702`	`0.55457702`
`lnts400`	`0.2830`	`5.4380`	`0.052`	`0.55457241`	`0.55457241`
`methanol100`	`0.4600`	`0.6870`	`0.670`	`0.00902229`	`0.00902229`
`methanol200`	`4.5890`	`2.0110`	`2.282`	`0.00902229`	`0.00902229`
`methanol400`	`5.3420`	`7.2970`	`0.732`	`0.00902229`	`0.00902229`
`methanol50`	`0.1660`	`0.5020`	`0.331`	`0.00902229`	`0.00902229`
`minsurf100`	`0.7840`	`174.5360`	`0.004`	`2.50694962`	`2.50694926`
`minsurf25`	`0.1680`	`3.1270`	`0.054`	`2.51948798`	`2.51948768`
`minsurf50`	`0.3480`	`20.4680`	`0.017`	`2.51489003`	`2.51488916`
`minsurf75`	`2.0900`	`74.9040`	`0.028`	`2.50568665`	`2.50568648`
`pinene100`	`0.4770`	`0.8570`	`0.557`	`19.87217015`	`19.87217013`
`pinene200`	`0.9780`	`3.8370`	`0.255`	`19.87216684`	`19.87216686`
`pinene25`	`0.2660`	`0.2680`	`0.993`	`19.87216552`	`19.87216552`
`pinene50`	`0.2630`	`0.2660`	`0.989`	`19.87216552`	`19.87216552`
`polygon100`	`1.5450`	`21.1860`	`0.073`	`-0.78505614`	`-0.67908505`
`polygon25`	`0.0910`	`0.0900`	`1.011`	`-0.77974054`	`-0.75541069`
`polygon50`	`1.1850`	`1.2800`	`0.926`	`-0.78213256`	`-0.77264788`
`polygon75`	`3.0070`	`2.8140`	`1.069`	`-0.78446376`	`-0.77115682`
`popdynm100`	`0.5200`	`1.0300`	`0.505`	`19746.52860214`	`19746.52860217`
`popdynm200`	`1.2240`	`3.2290`	`0.379`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.2880`	`0.1750`	`1.646`	`19752.21541508`	`19752.21541511`
`popdynm50`	`1.0060`	`0.3440`	`2.924`	`19746.54515625`	`19746.54515628`
`robot100`	`3606.1300`	`0.5140`	---	`mstat( 6) sstat(3)`	`9.14268538`
`robot200`	`0.8960`	`1.7730`	`0.505`	`9.14139688`	`9.14139550`
`robot400`	`2.7410`	`7.1280`	`0.385`	`9.14102607`	`9.14102603`
`robot50`	`3610.4260`	`0.1930`	`18706.870`	`0.00000000`	`9.14687850`
`rocket100`	`9.7010`	`1.2360`	`7.849`	`-1.01283202`	`-1.01283199`
`rocket200`	`78.3440`	`1.9560`	`40.053`	`-1.01283569`	`-1.01283556`
`rocket400`	`920.4500`	`4.7130`	`195.300`	`-1.01283661`	`-1.01283632`
`torsion100`	`0.7580`	`100.5560`	`0.008`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1630`	`1.6000`	`0.102`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.3800`	`12.4720`	`0.030`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.5740`	`42.8410`	`0.013`	`-0.41819939`	`-0.41819940`