Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 11/09/09 18:57:36 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 COINIPOPTma27 is represented on the left (rows) and solver COINIPOPTDma27 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:	COINIPOPT-1.trc
Tracefile 2:	COINIPOPTD-1.trc
Solvers used :	COINIPOPTma27
	COINIPOPTDma27
Modeltype(s)	`NLP`

	COINIPOPTDma27: optimal	COINIPOPTDma27: locally optimal	COINIPOPTDma27: feasible	COINIPOPTDma27: infeasible	COINIPOPTDma27: unbounded	COINIPOPTDma27: fail	COINIPOPTDma27: no data	total COINIPOPTma27
COINIPOPTma27: optimal	-	-	-	-	-	-	-	`-`
COINIPOPTma27: locally optimal	`13`	`59`	-	-	-	`1`	-	`73`
COINIPOPTma27: feasible	-	-	-	-	-	-	-	`-`
COINIPOPTma27: infeasible	-	`1`	-	`3`	-	-	-	`4`
COINIPOPTma27: unbounded	-	-	-	-	`1`	`1`	-	`2`
COINIPOPTma27: fail	-	-	-	-	-	`2`	-	`2`
COINIPOPTma27: no data	-	-	-	-	-	-	-	`-`
total COINIPOPTDma27	`13`	`60`	`-`	`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.

COINIPOPTma27: locally optimal -- COINIPOPTDma27: optimal

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/COINIPOPTDma27)	Obj (COINIPOPTma27)	Obj (COINIPOPTDma27)
`arki0018`	`0.3100`	`0.2970`	`1.044`	`0.01045662`	`0.01045662`
`arki0020`	`0.0700`	`0.0580`	`1.207`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2300`	`0.1720`	`1.337`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.3500`	`0.2960`	`1.182`	`-87.09909127`	`-87.09909127`
`arki0023`	`0.7200`	`0.5750`	`1.252`	`-153.66007775`	`-153.66007775`
`jbearing100`	`0.4700`	`0.4000`	`1.175`	`-0.15504194`	`-0.15504194`
`jbearing25`	`0.1100`	`0.1070`	`1.028`	`-0.15401551`	`-0.15401551`
`jbearing50`	`0.2000`	`0.2010`	`0.995`	`-0.15482381`	`-0.15482381`
`jbearing75`	`0.3200`	`0.2780`	`1.151`	`-0.15498446`	`-0.15498446`
`minsurf100`	`0.5800`	`0.5260`	`1.103`	`2.50694962`	`2.50694962`
`minsurf25`	`0.1300`	`0.1450`	`0.897`	`2.51948798`	`2.51948798`
`minsurf50`	`0.2600`	`0.2360`	`1.102`	`2.51489003`	`2.51489003`
`minsurf75`	`1.5700`	`1.3620`	`1.153`	`2.50568664`	`2.50568661`

COINIPOPTma27: locally optimal -- COINIPOPTDma27: locally optimal

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/COINIPOPTDma27)	Obj (COINIPOPTma27)	Obj (COINIPOPTDma27)
`arki0002`	`0.0600`	`0.5130`	`0.117`	`1.87252774`	`1.87252774`
`arki0004`	`2.7600`	`2.4100`	`1.145`	`327.73301341`	`323.46703883`
`arki0011`	`80.7800`	`73.2350`	`1.103`	`-224086.46003426`	`-224086.46003464`
`arki0012`	`175.0900`	`56.1550`	`3.118`	`-224252.43524124`	`-224252.42629882`
`arki0013`	`55.1900`	`60.8560`	`0.907`	`-224253.08752011`	`-224253.08745620`
`arki0014`	`50.0200`	`50.4280`	`0.992`	`-223977.08577803`	`-223977.03530617`
`arki0015`	`2.6800`	`2.6520`	`1.011`	`-266.94068809`	`-266.94068809`
`arki0016`	`12.3000`	`11.9170`	`1.032`	`867.97316601`	`867.97316601`
`arki0017`	`0.4300`	`0.4020`	`1.070`	`-121.83308011`	`-121.83308011`
`camshape400`	`0.1600`	`0.1590`	`1.006`	`-4.27569663`	`-4.27569663`
`camshape800`	`0.3200`	`0.3430`	`0.933`	`-4.27430687`	`-4.27430687`
`catmix100`	`0.0400`	`0.0390`	`---`	`-0.04806941`	`-0.04806941`
`catmix200`	`0.0400`	`0.0450`	`---`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.0900`	`0.0840`	`1.071`	`-0.04805654`	`-0.04805654`
`catmix800`	`0.1500`	`0.1620`	`0.926`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0200`	`0.0160`	`---`	`5.06862169`	`5.06862169`
`elec200`	`57.7000`	`58.4470`	`0.987`	`18439.26774952`	`18439.26774952`
`ex8_2_2a`	`2.3300`	`2.5940`	`0.898`	`-552.66625903`	`-552.66625903`
`ex8_2_2b`	`3.0500`	`3.0450`	`1.002`	`-552.66625998`	`-552.66625998`
`ex8_2_3a`	`6.7600`	`7.1170`	`0.950`	`-3731.07929678`	`-3731.07929678`
`ex8_2_3b`	`8.1900`	`8.1910`	`1.000`	`-3731.07929695`	`-3731.07929695`
`ex8_2_5a`	`2.4100`	`2.3930`	`1.007`	`-830.33806763`	`-830.33806763`
`ex8_2_5b`	`8.6100`	`8.7250`	`0.987`	`-830.33806763`	`-830.33806763`
`flowchan100`	`0.0300`	`0.0450`	`---`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0900`	`0.0910`	`0.989`	`0.00000000`	`0.00000000`
`flowchan400`	`0.1700`	`0.4490`	`0.379`	`0.00000000`	`0.00000000`
`gasoil100`	`0.1500`	`0.2030`	`0.739`	`0.00523659`	`0.00523659`
`gasoil200`	`0.3300`	`0.3470`	`0.951`	`0.00523660`	`0.00523660`
`gasoil400`	`1.0100`	`0.9890`	`1.021`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0600`	`0.1190`	`0.504`	`0.00523664`	`0.00523664`
`infeas1`	`0.3500`	`0.3760`	`0.931`	`13685.59647018`	`13685.59647017`
`lnts100`	`0.0300`	`0.0280`	`---`	`0.55459540`	`0.55459540`
`lnts200`	`0.0600`	`0.0430`	`1.395`	`0.55457702`	`0.55457702`
`lnts400`	`0.0800`	`0.0830`	`0.964`	`0.55457241`	`0.55457241`
`methanol100`	`0.2700`	`0.2520`	`1.071`	`0.00902229`	`0.00902229`
`methanol200`	`2.5700`	`2.2430`	`1.146`	`0.00902229`	`0.00902229`
`methanol400`	`4.0900`	`4.5550`	`0.898`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`0.0810`	`1.111`	`0.00902229`	`0.00902229`
`pinene100`	`0.1600`	`0.1680`	`0.952`	`19.87217015`	`19.87217015`
`pinene200`	`0.4700`	`0.4250`	`1.106`	`19.87216684`	`19.87216684`
`pinene25`	`0.0800`	`0.0810`	`0.988`	`19.87216552`	`19.87216552`
`pinene50`	`0.0800`	`0.0810`	`0.988`	`19.87216552`	`19.87216552`
`polygon100`	`3.8400`	`3.7980`	`1.011`	`-0.78505614`	`-0.78505614`
`polygon25`	`0.0700`	`0.0350`	`2.000`	`-0.77974054`	`-0.77974054`
`polygon50`	`0.6500`	`0.6580`	`0.988`	`-0.78213256`	`-0.78213256`
`polygon75`	`2.8700`	`2.8940`	`0.992`	`-0.78446376`	`-0.78446376`
`popdynm100`	`0.2300`	`0.2590`	`0.888`	`19746.52860214`	`19746.52860214`
`popdynm200`	`0.6400`	`0.6550`	`0.977`	`19746.52964658`	`19746.52964658`
`popdynm25`	`0.1400`	`0.0990`	`1.414`	`19752.21541508`	`19752.21541508`
`popdynm50`	`0.1600`	`0.1490`	`1.074`	`19746.54515625`	`19746.54515625`
`robot200`	`0.2700`	`0.2740`	`0.985`	`9.14139675`	`9.14139686`
`robot400`	`0.7600`	`0.7520`	`1.011`	`9.14102607`	`9.14102607`
`rocket100`	`1.8400`	`1.8710`	`0.983`	`-1.01283202`	`-1.01283202`
`rocket200`	`11.8300`	`12.0200`	`0.984`	`-1.01283569`	`-1.01283569`
`rocket400`	`116.9400`	`118.6340`	`0.986`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.6100`	`0.5540`	`1.101`	`-0.41823920`	`-0.41823920`
`torsion25`	`0.1300`	`0.1320`	`0.985`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.2900`	`0.2660`	`1.090`	`-0.41808762`	`-0.41808762`
`torsion75`	`0.4500`	`0.4090`	`1.100`	`-0.41819939`	`-0.41819939`

COINIPOPTma27: locally optimal -- COINIPOPTDma27: fail

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/COINIPOPTDma27)	Obj (COINIPOPTma27)	Status (COINIPOPTDma27)
`glider200`	`2014.5600`	`3619.9990`	---	`-1248.80942633`	`mstat( 6)sstat( 3)`

COINIPOPTma27: infeasible -- COINIPOPTDma27: locally optimal

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/COINIPOPTDma27)	Status (COINIPOPTma27)	Obj (COINIPOPTDma27)
`arki0003`	`1884.7800`	`1499.9250`	---	`mstat( 5)sstat( 1)`	`3795.19682438`

COINIPOPTma27: infeasible -- COINIPOPTDma27: infeasible

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/COINIPOPTDma27)	Status (COINIPOPTma27)	Status (COINIPOPTDma27)
`glider100`	`1.0500`	`1.4750`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider400`	`78.6800`	`161.1040`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider50`	`0.3100`	`0.2920`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

COINIPOPTma27: unbounded -- COINIPOPTDma27: unbounded

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/COINIPOPTDma27)	Status (COINIPOPTma27)	Status (COINIPOPTDma27)
`robot100`	`7.0900`	`6.4560`	---	`mstat( 3)sstat( 1)`	`mstat( 3)sstat( 1)`

COINIPOPTma27: unbounded -- COINIPOPTDma27: fail

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/COINIPOPTDma27)	Status (COINIPOPTma27)	Status (COINIPOPTDma27)
`robot50`	`327.3300`	`102.4360`	---	`mstat( 3)sstat( 1)`	`mstat( 6)sstat( 4)`

COINIPOPTma27: fail -- COINIPOPTDma27: fail

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/COINIPOPTDma27)	Status (COINIPOPTma27)	Status (COINIPOPTDma27)
`arki0008`	`3679.4200`	`3627.7850`	---	`mstat( 6)sstat( 3)`	`mstat( 6)sstat( 3)`
`ex8_2_2`	`3600.0500`	`3634.5650`	---	`mstat( 6)sstat( 3)`	`mstat( 6)sstat( 3)`

COINIPOPTma27: locally optimal:

Modelname	Time (COINIPOPTma27)	Obj (COINIPOPTma27)
`arki0002`	`0.0600`	`1.87252774`
`arki0004`	`2.7600`	`327.73301341`
`arki0011`	`80.7800`	`-224086.46003426`
`arki0012`	`175.0900`	`-224252.43524124`
`arki0013`	`55.1900`	`-224253.08752011`
`arki0014`	`50.0200`	`-223977.08577803`
`arki0015`	`2.6800`	`-266.94068809`
`arki0016`	`12.3000`	`867.97316601`
`arki0017`	`0.4300`	`-121.83308011`
`arki0018`	`0.3100`	`0.01045662`
`arki0020`	`0.0700`	`-41.07495436`
`arki0021`	`0.2300`	`-72.58210091`
`arki0022`	`0.3500`	`-87.09909127`
`arki0023`	`0.7200`	`-153.66007775`
`camshape400`	`0.1600`	`-4.27569663`
`camshape800`	`0.3200`	`-4.27430687`
`catmix100`	`0.0400`	`-0.04806941`
`catmix200`	`0.0400`	`-0.04805914`
`catmix400`	`0.0900`	`-0.04805654`
`catmix800`	`0.1500`	`-0.04805590`
`chain400`	`0.0200`	`5.06862169`
`elec200`	`57.7000`	`18439.26774952`
`ex8_2_2a`	`2.3300`	`-552.66625903`
`ex8_2_2b`	`3.0500`	`-552.66625998`
`ex8_2_3a`	`6.7600`	`-3731.07929678`
`ex8_2_3b`	`8.1900`	`-3731.07929695`
`ex8_2_5a`	`2.4100`	`-830.33806763`
`ex8_2_5b`	`8.6100`	`-830.33806763`
`flowchan100`	`0.0300`	`0.00000000`
`flowchan200`	`0.0900`	`0.00000000`
`flowchan400`	`0.1700`	`0.00000000`
`gasoil100`	`0.1500`	`0.00523659`
`gasoil200`	`0.3300`	`0.00523660`
`gasoil400`	`1.0100`	`0.00523660`
`gasoil50`	`0.0600`	`0.00523664`
`glider200`	`2014.5600`	`-1248.80942633`
`infeas1`	`0.3500`	`13685.59647018`
`jbearing100`	`0.4700`	`-0.15504194`
`jbearing25`	`0.1100`	`-0.15401551`
`jbearing50`	`0.2000`	`-0.15482381`
`jbearing75`	`0.3200`	`-0.15498446`
`lnts100`	`0.0300`	`0.55459540`
`lnts200`	`0.0600`	`0.55457702`
`lnts400`	`0.0800`	`0.55457241`
`methanol100`	`0.2700`	`0.00902229`
`methanol200`	`2.5700`	`0.00902229`
`methanol400`	`4.0900`	`0.00902229`
`methanol50`	`0.0900`	`0.00902229`
`minsurf100`	`0.5800`	`2.50694962`
`minsurf25`	`0.1300`	`2.51948798`
`minsurf50`	`0.2600`	`2.51489003`
`minsurf75`	`1.5700`	`2.50568664`
`pinene100`	`0.1600`	`19.87217015`
`pinene200`	`0.4700`	`19.87216684`
`pinene25`	`0.0800`	`19.87216552`
`pinene50`	`0.0800`	`19.87216552`
`polygon100`	`3.8400`	`-0.78505614`
`polygon25`	`0.0700`	`-0.77974054`
`polygon50`	`0.6500`	`-0.78213256`
`polygon75`	`2.8700`	`-0.78446376`
`popdynm100`	`0.2300`	`19746.52860214`
`popdynm200`	`0.6400`	`19746.52964658`
`popdynm25`	`0.1400`	`19752.21541508`
`popdynm50`	`0.1600`	`19746.54515625`
`robot200`	`0.2700`	`9.14139675`
`robot400`	`0.7600`	`9.14102607`
`rocket100`	`1.8400`	`-1.01283202`
`rocket200`	`11.8300`	`-1.01283569`
`rocket400`	`116.9400`	`-1.01283661`
`torsion100`	`0.6100`	`-0.41823920`
`torsion25`	`0.1300`	`-0.41751073`
`torsion50`	`0.2900`	`-0.41808762`
`torsion75`	`0.4500`	`-0.41819939`

COINIPOPTma27: infeasible:

Modelname	Time (COINIPOPTma27)	Status (COINIPOPTma27)
`arki0003`	`--`	`mstat( 5) sstat( 1)`
`glider100`	`--`	`mstat( 5) sstat( 1)`
`glider400`	`--`	`mstat( 5) sstat( 1)`
`glider50`	`--`	`mstat( 5) sstat( 1)`

COINIPOPTma27: unbounded:

Modelname	Time (COINIPOPTma27)	Status (COINIPOPTma27)
`robot100`	`7.0900`	`mstat( 3) sstat( 1)`
`robot50`	`327.3300`	`mstat( 3) sstat( 1)`

COINIPOPTma27: fail:

Modelname	Time (COINIPOPTma27)	Status (COINIPOPTma27)
`arki0008`	`--`	`mstat( 6) sstat( 3)`
`ex8_2_2`	`--`	`mstat( 6) sstat( 3)`

COINIPOPTDma27: optimal:

Modelname	Time (COINIPOPTDma27)	Obj (COINIPOPTDma27)
`arki0018`	`0.2970`	`0.01045662`
`arki0020`	`0.0580`	`-41.07495436`
`arki0021`	`0.1720`	`-72.58210091`
`arki0022`	`0.2960`	`-87.09909127`
`arki0023`	`0.5750`	`-153.66007775`
`jbearing100`	`0.4000`	`-0.15504194`
`jbearing25`	`0.1070`	`-0.15401551`
`jbearing50`	`0.2010`	`-0.15482381`
`jbearing75`	`0.2780`	`-0.15498446`
`minsurf100`	`0.5260`	`2.50694962`
`minsurf25`	`0.1450`	`2.51948798`
`minsurf50`	`0.2360`	`2.51489003`
`minsurf75`	`1.3620`	`2.50568661`

COINIPOPTDma27: locally optimal:

Modelname	Time (COINIPOPTDma27)	Obj (COINIPOPTDma27)
`arki0002`	`0.5130`	`1.87252774`
`arki0003`	`1499.9250`	`3795.19682438`
`arki0004`	`2.4100`	`323.46703883`
`arki0011`	`73.2350`	`-224086.46003464`
`arki0012`	`56.1550`	`-224252.42629882`
`arki0013`	`60.8560`	`-224253.08745620`
`arki0014`	`50.4280`	`-223977.03530617`
`arki0015`	`2.6520`	`-266.94068809`
`arki0016`	`11.9170`	`867.97316601`
`arki0017`	`0.4020`	`-121.83308011`
`camshape400`	`0.1590`	`-4.27569663`
`camshape800`	`0.3430`	`-4.27430687`
`catmix100`	`0.0390`	`-0.04806941`
`catmix200`	`0.0450`	`-0.04805914`
`catmix400`	`0.0840`	`-0.04805654`
`catmix800`	`0.1620`	`-0.04805590`
`chain400`	`0.0160`	`5.06862169`
`elec200`	`58.4470`	`18439.26774952`
`ex8_2_2a`	`2.5940`	`-552.66625903`
`ex8_2_2b`	`3.0450`	`-552.66625998`
`ex8_2_3a`	`7.1170`	`-3731.07929678`
`ex8_2_3b`	`8.1910`	`-3731.07929695`
`ex8_2_5a`	`2.3930`	`-830.33806763`
`ex8_2_5b`	`8.7250`	`-830.33806763`
`flowchan100`	`0.0450`	`0.00000000`
`flowchan200`	`0.0910`	`0.00000000`
`flowchan400`	`0.4490`	`0.00000000`
`gasoil100`	`0.2030`	`0.00523659`
`gasoil200`	`0.3470`	`0.00523660`
`gasoil400`	`0.9890`	`0.00523660`
`gasoil50`	`0.1190`	`0.00523664`
`infeas1`	`0.3760`	`13685.59647017`
`lnts100`	`0.0280`	`0.55459540`
`lnts200`	`0.0430`	`0.55457702`
`lnts400`	`0.0830`	`0.55457241`
`methanol100`	`0.2520`	`0.00902229`
`methanol200`	`2.2430`	`0.00902229`
`methanol400`	`4.5550`	`0.00902229`
`methanol50`	`0.0810`	`0.00902229`
`pinene100`	`0.1680`	`19.87217015`
`pinene200`	`0.4250`	`19.87216684`
`pinene25`	`0.0810`	`19.87216552`
`pinene50`	`0.0810`	`19.87216552`
`polygon100`	`3.7980`	`-0.78505614`
`polygon25`	`0.0350`	`-0.77974054`
`polygon50`	`0.6580`	`-0.78213256`
`polygon75`	`2.8940`	`-0.78446376`
`popdynm100`	`0.2590`	`19746.52860214`
`popdynm200`	`0.6550`	`19746.52964658`
`popdynm25`	`0.0990`	`19752.21541508`
`popdynm50`	`0.1490`	`19746.54515625`
`robot200`	`0.2740`	`9.14139686`
`robot400`	`0.7520`	`9.14102607`
`rocket100`	`1.8710`	`-1.01283202`
`rocket200`	`12.0200`	`-1.01283569`
`rocket400`	`118.6340`	`-1.01283661`
`torsion100`	`0.5540`	`-0.41823920`
`torsion25`	`0.1320`	`-0.41751073`
`torsion50`	`0.2660`	`-0.41808762`
`torsion75`	`0.4090`	`-0.41819939`

COINIPOPTDma27: infeasible:

Modelname	Time (COINIPOPTDma27)	Status (COINIPOPTDma27)
`glider100`	`--`	`mstat( 5)sstat( 1)`
`glider400`	`--`	`mstat( 5)sstat( 1)`
`glider50`	`--`	`mstat( 5)sstat( 1)`

COINIPOPTDma27: unbounded:

Modelname	Time (COINIPOPTDma27)	Status (COINIPOPTDma27)
`robot100`	`6.4560`	`mstat( 3)sstat( 1)`

COINIPOPTDma27: fail:

Modelname	Time (COINIPOPTDma27)	Status (COINIPOPTDma27)
`arki0008`	`--`	`mstat( 6)sstat( 3)`
`ex8_2_2`	`--`	`mstat( 6)sstat( 3)`
`glider200`	`--`	`mstat( 6)sstat( 3)`
`robot50`	`--`	`mstat( 6)sstat( 4)`

COINIPOPTma27: all -- COINIPOPTDma27: all

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

Modelname	Time (COINIPOPTma27)	Time (COINIPOPTDma27)	Ratio (COINIPOPTma27/ COINIPOPTDma27)	Obj (COINIPOPTma27)	Obj (COINIPOPTDma27)
`arki0002`	`0.0600`	`0.5130`	`0.117`	`1.87252774`	`1.87252774`
`arki0003`	`1884.7800`	`1499.9250`	---	`mstat( 5) sstat(1)`	`3795.19682438`
`arki0004`	`2.7600`	`2.4100`	`1.145`	`327.73301341`	`323.46703883`
`arki0008`	`3679.4200`	`3627.7850`	---	`mstat( 6) sstat(3)`	`mstat( 6) sstat(3)`
`arki0011`	`80.7800`	`73.2350`	`1.103`	`-224086.46003426`	`-224086.46003464`
`arki0012`	`175.0900`	`56.1550`	`3.118`	`-224252.43524124`	`-224252.42629882`
`arki0013`	`55.1900`	`60.8560`	`0.907`	`-224253.08752011`	`-224253.08745620`
`arki0014`	`50.0200`	`50.4280`	`0.992`	`-223977.08577803`	`-223977.03530617`
`arki0015`	`2.6800`	`2.6520`	`1.011`	`-266.94068809`	`-266.94068809`
`arki0016`	`12.3000`	`11.9170`	`1.032`	`867.97316601`	`867.97316601`
`arki0017`	`0.4300`	`0.4020`	`1.070`	`-121.83308011`	`-121.83308011`
`arki0018`	`0.3100`	`0.2970`	`1.044`	`0.01045662`	`0.01045662`
`arki0020`	`0.0700`	`0.0580`	`1.207`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2300`	`0.1720`	`1.337`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.3500`	`0.2960`	`1.182`	`-87.09909127`	`-87.09909127`
`arki0023`	`0.7200`	`0.5750`	`1.252`	`-153.66007775`	`-153.66007775`
`camshape400`	`0.1600`	`0.1590`	`1.006`	`-4.27569663`	`-4.27569663`
`camshape800`	`0.3200`	`0.3430`	`0.933`	`-4.27430687`	`-4.27430687`
`catmix100`	`0.0400`	`0.0390`	`---`	`-0.04806941`	`-0.04806941`
`catmix200`	`0.0400`	`0.0450`	`---`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.0900`	`0.0840`	`1.071`	`-0.04805654`	`-0.04805654`
`catmix800`	`0.1500`	`0.1620`	`0.926`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0200`	`0.0160`	`---`	`5.06862169`	`5.06862169`
`elec200`	`57.7000`	`58.4470`	`0.987`	`18439.26774952`	`18439.26774952`
`ex8_2_2`	`3600.0500`	`3634.5650`	---	`mstat( 6) sstat(3)`	`mstat( 6) sstat(3)`
`ex8_2_2a`	`2.3300`	`2.5940`	`0.898`	`-552.66625903`	`-552.66625903`
`ex8_2_2b`	`3.0500`	`3.0450`	`1.002`	`-552.66625998`	`-552.66625998`
`ex8_2_3a`	`6.7600`	`7.1170`	`0.950`	`-3731.07929678`	`-3731.07929678`
`ex8_2_3b`	`8.1900`	`8.1910`	`1.000`	`-3731.07929695`	`-3731.07929695`
`ex8_2_5a`	`2.4100`	`2.3930`	`1.007`	`-830.33806763`	`-830.33806763`
`ex8_2_5b`	`8.6100`	`8.7250`	`0.987`	`-830.33806763`	`-830.33806763`
`flowchan100`	`0.0300`	`0.0450`	`---`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0900`	`0.0910`	`0.989`	`0.00000000`	`0.00000000`
`flowchan400`	`0.1700`	`0.4490`	`0.379`	`0.00000000`	`0.00000000`
`gasoil100`	`0.1500`	`0.2030`	`0.739`	`0.00523659`	`0.00523659`
`gasoil200`	`0.3300`	`0.3470`	`0.951`	`0.00523660`	`0.00523660`
`gasoil400`	`1.0100`	`0.9890`	`1.021`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0600`	`0.1190`	`0.504`	`0.00523664`	`0.00523664`
`glider100`	`1.0500`	`1.4750`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider200`	`2014.5600`	`3619.9990`	---	`-1248.80942633`	`mstat( 6) sstat(3)`
`glider400`	`78.6800`	`161.1040`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider50`	`0.3100`	`0.2920`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`infeas1 (max)`	`0.3500`	`0.3760`	`0.931`	`13685.59647018`	`13685.59647017`
`jbearing100`	`0.4700`	`0.4000`	`1.175`	`-0.15504194`	`-0.15504194`
`jbearing25`	`0.1100`	`0.1070`	`1.028`	`-0.15401551`	`-0.15401551`
`jbearing50`	`0.2000`	`0.2010`	`0.995`	`-0.15482381`	`-0.15482381`
`jbearing75`	`0.3200`	`0.2780`	`1.151`	`-0.15498446`	`-0.15498446`
`lnts100`	`0.0300`	`0.0280`	`---`	`0.55459540`	`0.55459540`
`lnts200`	`0.0600`	`0.0430`	`1.395`	`0.55457702`	`0.55457702`
`lnts400`	`0.0800`	`0.0830`	`0.964`	`0.55457241`	`0.55457241`
`methanol100`	`0.2700`	`0.2520`	`1.071`	`0.00902229`	`0.00902229`
`methanol200`	`2.5700`	`2.2430`	`1.146`	`0.00902229`	`0.00902229`
`methanol400`	`4.0900`	`4.5550`	`0.898`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`0.0810`	`1.111`	`0.00902229`	`0.00902229`
`minsurf100`	`0.5800`	`0.5260`	`1.103`	`2.50694962`	`2.50694962`
`minsurf25`	`0.1300`	`0.1450`	`0.897`	`2.51948798`	`2.51948798`
`minsurf50`	`0.2600`	`0.2360`	`1.102`	`2.51489003`	`2.51489003`
`minsurf75`	`1.5700`	`1.3620`	`1.153`	`2.50568664`	`2.50568661`
`pinene100`	`0.1600`	`0.1680`	`0.952`	`19.87217015`	`19.87217015`
`pinene200`	`0.4700`	`0.4250`	`1.106`	`19.87216684`	`19.87216684`
`pinene25`	`0.0800`	`0.0810`	`0.988`	`19.87216552`	`19.87216552`
`pinene50`	`0.0800`	`0.0810`	`0.988`	`19.87216552`	`19.87216552`
`polygon100`	`3.8400`	`3.7980`	`1.011`	`-0.78505614`	`-0.78505614`
`polygon25`	`0.0700`	`0.0350`	`2.000`	`-0.77974054`	`-0.77974054`
`polygon50`	`0.6500`	`0.6580`	`0.988`	`-0.78213256`	`-0.78213256`
`polygon75`	`2.8700`	`2.8940`	`0.992`	`-0.78446376`	`-0.78446376`
`popdynm100`	`0.2300`	`0.2590`	`0.888`	`19746.52860214`	`19746.52860214`
`popdynm200`	`0.6400`	`0.6550`	`0.977`	`19746.52964658`	`19746.52964658`
`popdynm25`	`0.1400`	`0.0990`	`1.414`	`19752.21541508`	`19752.21541508`
`popdynm50`	`0.1600`	`0.1490`	`1.074`	`19746.54515625`	`19746.54515625`
`robot100`	`7.0900`	`6.4560`	---	`mstat( 3) sstat(1)`	`mstat( 3) sstat(1)`
`robot200`	`0.2700`	`0.2740`	`0.985`	`9.14139675`	`9.14139686`
`robot400`	`0.7600`	`0.7520`	`1.011`	`9.14102607`	`9.14102607`
`robot50`	`327.3300`	`102.4360`	---	`mstat( 3) sstat(1)`	`mstat( 6) sstat(4)`
`rocket100`	`1.8400`	`1.8710`	`0.983`	`-1.01283202`	`-1.01283202`
`rocket200`	`11.8300`	`12.0200`	`0.984`	`-1.01283569`	`-1.01283569`
`rocket400`	`116.9400`	`118.6340`	`0.986`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.6100`	`0.5540`	`1.101`	`-0.41823920`	`-0.41823920`
`torsion25`	`0.1300`	`0.1320`	`0.985`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.2900`	`0.2660`	`1.090`	`-0.41808762`	`-0.41808762`
`torsion75`	`0.4500`	`0.4090`	`1.100`	`-0.41819939`	`-0.41819939`