Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 11/20/09 15:35:08 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 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:	COINIPOPT-1.trc
Tracefile 2:	SNOPT-1.trc
Solvers used :	COINIPOPTma27
	SNOPT
Modeltype(s)	`NLP`

	SNOPT: optimal	SNOPT: locally optimal	SNOPT: feasible	SNOPT: infeasible	SNOPT: unbounded	SNOPT: fail	SNOPT: no data	total COINIPOPTma27
COINIPOPTma27: optimal	-	-	-	-	-	-	-	`-`
COINIPOPTma27: locally optimal	-	`66`	`4`	`2`	-	`1`	-	`73`
COINIPOPTma27: feasible	-	-	-	-	-	-	-	`-`
COINIPOPTma27: infeasible	-	`2`	`1`	`1`	-	-	-	`4`
COINIPOPTma27: unbounded	-	`2`	-	-	-	-	-	`2`
COINIPOPTma27: fail	-	-	-	`1`	-	`1`	-	`2`
COINIPOPTma27: no data	-	-	-	-	-	-	-	`-`
total SNOPT	`-`	`70`	`5`	`4`	`-`	`2`	`-`	`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 -- SNOPT: locally optimal

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Obj (COINIPOPTma27)	Obj (SNOPT)
`arki0002`	`0.0600`	`154.4600`	`0.000`	`1.87252774`	`1.09249984`
`arki0004`	`2.7600`	`0.4100`	`6.732`	`327.73301341`	`323.46703883`
`arki0011`	`80.7800`	`401.7400`	`0.201`	`-224086.46003426`	`-224086.45991302`
`arki0013`	`55.1900`	`1709.7900`	`0.032`	`-224253.08752011`	`-224253.08921947`
`arki0014`	`50.0200`	`3504.7300`	`0.014`	`-223977.08577803`	`-223977.09382739`
`arki0015`	`2.6800`	`3.6100`	`0.742`	`-266.94068809`	`-272.29977820`
`arki0020`	`0.0700`	`22.2700`	`0.003`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2300`	`89.1400`	`0.003`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.3500`	`110.2400`	`0.003`	`-87.09909127`	`-87.09909127`
`camshape400`	`0.1600`	`0.1100`	`1.455`	`-4.27569663`	`-4.27568692`
`camshape800`	`0.3200`	`0.4300`	`0.744`	`-4.27430687`	`-4.27427301`
`catmix100`	`0.0400`	`0.1600`	`0.250`	`-0.04806941`	`-0.04806940`
`catmix200`	`0.0400`	`0.7000`	`0.057`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.0900`	`2.4800`	`0.036`	`-0.04805654`	`-0.04805655`
`catmix800`	`0.1500`	`10.7000`	`0.014`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0200`	`7.0200`	`0.003`	`5.06862169`	`5.06862169`
`elec200`	`57.7000`	`11.7800`	`4.898`	`18439.26774952`	`18438.99267601`
`ex8_2_2a`	`2.3300`	`92.3800`	`0.025`	`-552.66625903`	`-552.65761566`
`ex8_2_2b`	`3.0500`	`6.7000`	`0.455`	`-552.66625998`	`-551.76977942`
`ex8_2_3a`	`6.7600`	`48.3600`	`0.140`	`-3731.07929678`	`-3731.07809337`
`ex8_2_3b`	`8.1900`	`22.1800`	`0.369`	`-3731.07929695`	`-3730.72924954`
`ex8_2_5a`	`2.4100`	`184.5500`	`0.013`	`-830.33806763`	`-830.33802832`
`ex8_2_5b`	`8.6100`	`6.6800`	`1.289`	`-830.33806763`	`-830.07940808`
`flowchan100`	`0.0300`	`0.3200`	`0.094`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0900`	`1.0600`	`0.085`	`0.00000000`	`0.00000000`
`flowchan400`	`0.1700`	`3.2800`	`0.052`	`0.00000000`	`0.00000000`
`gasoil100`	`0.1500`	`0.4900`	`0.306`	`0.00523659`	`0.00523659`
`gasoil200`	`0.3300`	`1.4800`	`0.223`	`0.00523660`	`0.00523660`
`gasoil400`	`1.0100`	`6.6200`	`0.153`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0600`	`0.2200`	`0.273`	`0.00523664`	`0.00523664`
`jbearing100`	`0.4700`	`40.2300`	`0.012`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.1100`	`6.6600`	`0.017`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.2000`	`29.9100`	`0.007`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.3200`	`26.7100`	`0.012`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.0300`	`0.3600`	`0.083`	`0.55459540`	`0.55459540`
`lnts200`	`0.0600`	`1.4300`	`0.042`	`0.55457702`	`0.55457702`
`lnts400`	`0.0800`	`6.3600`	`0.013`	`0.55457241`	`0.55457241`
`methanol100`	`0.2700`	`0.8500`	`0.318`	`0.00902229`	`0.00902229`
`methanol200`	`2.5700`	`2.4800`	`1.036`	`0.00902229`	`0.00902229`
`methanol400`	`4.0900`	`8.4000`	`0.487`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`0.3500`	`0.257`	`0.00902229`	`0.00902229`
`minsurf100`	`0.5800`	`295.6700`	`0.002`	`2.50694962`	`2.50694926`
`minsurf25`	`0.1300`	`5.4600`	`0.024`	`2.51948798`	`2.51948768`
`minsurf50`	`0.2600`	`67.8900`	`0.004`	`2.51489003`	`2.51488916`
`minsurf75`	`1.5700`	`152.5700`	`0.010`	`2.50568664`	`2.50568648`
`pinene100`	`0.1600`	`2.3000`	`0.070`	`19.87217015`	`19.87217014`
`pinene200`	`0.4700`	`10.5100`	`0.045`	`19.87216684`	`19.87216684`
`pinene25`	`0.0800`	`1.0000`	`0.080`	`19.87216552`	`19.87216552`
`pinene50`	`0.0800`	`0.9800`	`0.082`	`19.87216552`	`19.87216552`
`polygon100`	`3.8400`	`20.7200`	`0.185`	`-0.78505614`	`-0.78503127`
`polygon25`	`0.0700`	`0.0300`	`2.333`	`-0.77974054`	`-0.77973670`
`polygon50`	`0.6500`	`1.5000`	`0.433`	`-0.78213256`	`-0.78401305`
`polygon75`	`2.8700`	`5.1400`	`0.558`	`-0.78446376`	`-0.78478846`
`popdynm100`	`0.2300`	`1.9300`	`0.119`	`19746.52860214`	`19746.52860217`
`popdynm200`	`0.6400`	`5.9600`	`0.107`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.1400`	`0.3100`	`0.452`	`19752.21541508`	`19752.21541511`
`popdynm50`	`0.1600`	`1.0300`	`0.155`	`19746.54515625`	`19746.54515628`
`robot200`	`0.2700`	`15.2600`	`0.018`	`9.14139675`	`9.14139550`
`robot400`	`0.7600`	`44.6300`	`0.017`	`9.14102607`	`9.14102603`
`rocket100`	`1.8400`	`0.6700`	`2.746`	`-1.01283202`	`-1.01283202`
`rocket200`	`11.8300`	`2.9800`	`3.970`	`-1.01283569`	`-1.01283569`
`rocket400`	`116.9400`	`9.2400`	`12.656`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.6100`	`19.1900`	`0.032`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1300`	`1.4500`	`0.090`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.2900`	`12.9000`	`0.022`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.4500`	`12.3000`	`0.037`	`-0.41819939`	`-0.41819940`

COINIPOPTma27: locally optimal -- SNOPT: feasible

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Obj (COINIPOPTma27)	Obj (SNOPT)
`arki0012`	`175.0900`	`3600.2200`	`0.049`	`-224252.43524124`	`-224171.55016260`
`arki0017`	`0.4300`	`1680.0100`	`0.000`	`-121.83308011`	`-121.83308010`
`arki0018`	`0.3100`	`40.2800`	`0.008`	`0.01045662`	`0.01197639`
`arki0023`	`0.7200`	`81.0700`	`0.009`	`-153.66007775`	`-153.41732339`

COINIPOPTma27: locally optimal -- SNOPT: infeasible

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Obj (COINIPOPTma27)	Status (SNOPT)
`glider200`	`2014.5600`	`1.8000`	---	`-1248.80942633`	`mstat( 5)sstat( 1)`
`infeas1`	`0.3500`	`0.0200`	---	`13685.59647018`	`mstat( 4)sstat( 1)`

COINIPOPTma27: locally optimal -- SNOPT: fail

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Obj (COINIPOPTma27)	Status (SNOPT)
`arki0016`	`12.3000`	`NA`	---	`867.97316601`	`mstat(13)sstat(13)`

COINIPOPTma27: infeasible -- SNOPT: locally optimal

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Status (COINIPOPTma27)	Obj (SNOPT)
`arki0003`	`1884.7800`	`1.4500`	---	`mstat( 5)sstat( 1)`	`3795.20606780`
`glider50`	`0.3100`	`55.3500`	---	`mstat( 5)sstat( 1)`	`-1286.97737315`

COINIPOPTma27: infeasible -- SNOPT: feasible

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Status (COINIPOPTma27)	Obj (SNOPT)
`glider400`	`78.6800`	`3600.0000`	---	`mstat( 5)sstat( 1)`	`-254.82412037`

COINIPOPTma27: infeasible -- SNOPT: infeasible

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Status (COINIPOPTma27)	Status (SNOPT)
`glider100`	`1.0500`	`1.2200`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

COINIPOPTma27: unbounded -- SNOPT: locally optimal

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Status (COINIPOPTma27)	Obj (SNOPT)
`robot100`	`7.0900`	`0.8200`	---	`mstat( 3)sstat( 1)`	`9.14268538`
`robot50`	`327.3300`	`0.1600`	---	`mstat( 3)sstat( 1)`	`9.14687850`

COINIPOPTma27: fail -- SNOPT: infeasible

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Status (COINIPOPTma27)	Status (SNOPT)
`arki0008`	`3679.4200`	`7.4400`	---	`mstat( 6)sstat( 3)`	`mstat( 5)sstat( 1)`

COINIPOPTma27: fail -- SNOPT: fail

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/SNOPT)	Status (COINIPOPTma27)	Status (SNOPT)
`ex8_2_2`	`3600.0500`	`NA`	---	`mstat( 6)sstat( 3)`	`mstat(13)sstat(13)`

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)`

SNOPT: locally optimal:

Modelname	Time (SNOPT)	Obj (SNOPT)
`arki0002`	`154.4600`	`1.09249984`
`arki0003`	`1.4500`	`3795.20606780`
`arki0004`	`0.4100`	`323.46703883`
`arki0011`	`401.7400`	`-224086.45991302`
`arki0013`	`1709.7900`	`-224253.08921947`
`arki0014`	`3504.7300`	`-223977.09382739`
`arki0015`	`3.6100`	`-272.29977820`
`arki0020`	`22.2700`	`-41.07495436`
`arki0021`	`89.1400`	`-72.58210091`
`arki0022`	`110.2400`	`-87.09909127`
`camshape400`	`0.1100`	`-4.27568692`
`camshape800`	`0.4300`	`-4.27427301`
`catmix100`	`0.1600`	`-0.04806940`
`catmix200`	`0.7000`	`-0.04805914`
`catmix400`	`2.4800`	`-0.04805655`
`catmix800`	`10.7000`	`-0.04805590`
`chain400`	`7.0200`	`5.06862169`
`elec200`	`11.7800`	`18438.99267601`
`ex8_2_2a`	`92.3800`	`-552.65761566`
`ex8_2_2b`	`6.7000`	`-551.76977942`
`ex8_2_3a`	`48.3600`	`-3731.07809337`
`ex8_2_3b`	`22.1800`	`-3730.72924954`
`ex8_2_5a`	`184.5500`	`-830.33802832`
`ex8_2_5b`	`6.6800`	`-830.07940808`
`flowchan100`	`0.3200`	`0.00000000`
`flowchan200`	`1.0600`	`0.00000000`
`flowchan400`	`3.2800`	`0.00000000`
`gasoil100`	`0.4900`	`0.00523659`
`gasoil200`	`1.4800`	`0.00523660`
`gasoil400`	`6.6200`	`0.00523660`
`gasoil50`	`0.2200`	`0.00523664`
`glider50`	`55.3500`	`-1286.97737315`
`jbearing100`	`40.2300`	`-0.15504196`
`jbearing25`	`6.6600`	`-0.15401554`
`jbearing50`	`29.9100`	`-0.15482422`
`jbearing75`	`26.7100`	`-0.15498453`
`lnts100`	`0.3600`	`0.55459540`
`lnts200`	`1.4300`	`0.55457702`
`lnts400`	`6.3600`	`0.55457241`
`methanol100`	`0.8500`	`0.00902229`
`methanol200`	`2.4800`	`0.00902229`
`methanol400`	`8.4000`	`0.00902229`
`methanol50`	`0.3500`	`0.00902229`
`minsurf100`	`295.6700`	`2.50694926`
`minsurf25`	`5.4600`	`2.51948768`
`minsurf50`	`67.8900`	`2.51488916`
`minsurf75`	`152.5700`	`2.50568648`
`pinene100`	`2.3000`	`19.87217014`
`pinene200`	`10.5100`	`19.87216684`
`pinene25`	`1.0000`	`19.87216552`
`pinene50`	`0.9800`	`19.87216552`
`polygon100`	`20.7200`	`-0.78503127`
`polygon25`	`0.0300`	`-0.77973670`
`polygon50`	`1.5000`	`-0.78401305`
`polygon75`	`5.1400`	`-0.78478846`
`popdynm100`	`1.9300`	`19746.52860217`
`popdynm200`	`5.9600`	`19746.52964660`
`popdynm25`	`0.3100`	`19752.21541511`
`popdynm50`	`1.0300`	`19746.54515628`
`robot100`	`0.8200`	`9.14268538`
`robot200`	`15.2600`	`9.14139550`
`robot400`	`44.6300`	`9.14102603`
`robot50`	`0.1600`	`9.14687850`
`rocket100`	`0.6700`	`-1.01283202`
`rocket200`	`2.9800`	`-1.01283569`
`rocket400`	`9.2400`	`-1.01283661`
`torsion100`	`19.1900`	`-0.41823921`
`torsion25`	`1.4500`	`-0.41751073`
`torsion50`	`12.9000`	`-0.41808763`
`torsion75`	`12.3000`	`-0.41819940`

SNOPT: feasible:

Modelname	Time (SNOPT)	Obj (SNOPT)
`arki0012`	`3600.2200`	`-224171.55016260`
`arki0017`	`1680.0100`	`-121.83308010`
`arki0018`	`40.2800`	`0.01197639`
`arki0023`	`81.0700`	`-153.41732339`
`glider400`	`3600.0000`	`-254.82412037`

SNOPT: infeasible:

Modelname	Time (SNOPT)	Status (SNOPT)
`arki0008`	`--`	`mstat( 5)sstat( 1)`
`glider100`	`--`	`mstat( 5)sstat( 1)`
`glider200`	`--`	`mstat( 5)sstat( 1)`
`infeas1`	`--`	`mstat( 4)sstat( 1)`

SNOPT: fail:

Modelname	Time (SNOPT)	Status (SNOPT)
`arki0016`	`--`	`mstat(13)sstat(13)`
`ex8_2_2`	`--`	`mstat(13)sstat(13)`

COINIPOPTma27: all -- SNOPT: all

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

Modelname	Time (COINIPOPTma27)	Time (SNOPT)	Ratio (COINIPOPTma27/ SNOPT)	Obj (COINIPOPTma27)	Obj (SNOPT)
`arki0002`	`0.0600`	`154.4600`	`0.000`	`1.87252774`	`1.09249984`
`arki0003`	`1884.7800`	`1.4500`	---	`mstat( 5) sstat(1)`	`3795.20606780`
`arki0004`	`2.7600`	`0.4100`	`6.732`	`327.73301341`	`323.46703883`
`arki0008`	`3679.4200`	`7.4400`	---	`mstat( 6) sstat(3)`	`mstat( 5) sstat(1)`
`arki0011`	`80.7800`	`401.7400`	`0.201`	`-224086.46003426`	`-224086.45991302`
`arki0012`	`175.0900`	`3600.2200`	`0.049`	`-224252.43524124`	`-224171.55016260`
`arki0013`	`55.1900`	`1709.7900`	`0.032`	`-224253.08752011`	`-224253.08921947`
`arki0014`	`50.0200`	`3504.7300`	`0.014`	`-223977.08577803`	`-223977.09382739`
`arki0015`	`2.6800`	`3.6100`	`0.742`	`-266.94068809`	`-272.29977820`
`arki0016`	`12.3000`	`NA`	---	`867.97316601`	`mstat(13) sstat(13)`
`arki0017`	`0.4300`	`1680.0100`	`0.000`	`-121.83308011`	`-121.83308010`
`arki0018`	`0.3100`	`40.2800`	`0.008`	`0.01045662`	`0.01197639`
`arki0020`	`0.0700`	`22.2700`	`0.003`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.2300`	`89.1400`	`0.003`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.3500`	`110.2400`	`0.003`	`-87.09909127`	`-87.09909127`
`arki0023`	`0.7200`	`81.0700`	`0.009`	`-153.66007775`	`-153.41732339`
`camshape400`	`0.1600`	`0.1100`	`1.455`	`-4.27569663`	`-4.27568692`
`camshape800`	`0.3200`	`0.4300`	`0.744`	`-4.27430687`	`-4.27427301`
`catmix100`	`0.0400`	`0.1600`	`0.250`	`-0.04806941`	`-0.04806940`
`catmix200`	`0.0400`	`0.7000`	`0.057`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.0900`	`2.4800`	`0.036`	`-0.04805654`	`-0.04805655`
`catmix800`	`0.1500`	`10.7000`	`0.014`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0200`	`7.0200`	`0.003`	`5.06862169`	`5.06862169`
`elec200`	`57.7000`	`11.7800`	`4.898`	`18439.26774952`	`18438.99267601`
`ex8_2_2`	`3600.0500`	`NA`	---	`mstat( 6) sstat(3)`	`mstat(13) sstat(13)`
`ex8_2_2a`	`2.3300`	`92.3800`	`0.025`	`-552.66625903`	`-552.65761566`
`ex8_2_2b`	`3.0500`	`6.7000`	`0.455`	`-552.66625998`	`-551.76977942`
`ex8_2_3a`	`6.7600`	`48.3600`	`0.140`	`-3731.07929678`	`-3731.07809337`
`ex8_2_3b`	`8.1900`	`22.1800`	`0.369`	`-3731.07929695`	`-3730.72924954`
`ex8_2_5a`	`2.4100`	`184.5500`	`0.013`	`-830.33806763`	`-830.33802832`
`ex8_2_5b`	`8.6100`	`6.6800`	`1.289`	`-830.33806763`	`-830.07940808`
`flowchan100`	`0.0300`	`0.3200`	`0.094`	`0.00000000`	`0.00000000`
`flowchan200`	`0.0900`	`1.0600`	`0.085`	`0.00000000`	`0.00000000`
`flowchan400`	`0.1700`	`3.2800`	`0.052`	`0.00000000`	`0.00000000`
`gasoil100`	`0.1500`	`0.4900`	`0.306`	`0.00523659`	`0.00523659`
`gasoil200`	`0.3300`	`1.4800`	`0.223`	`0.00523660`	`0.00523660`
`gasoil400`	`1.0100`	`6.6200`	`0.153`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0600`	`0.2200`	`0.273`	`0.00523664`	`0.00523664`
`glider100`	`1.0500`	`1.2200`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider200`	`2014.5600`	`1.8000`	---	`-1248.80942633`	`mstat( 5) sstat(1)`
`glider400`	`78.6800`	`3600.0000`	---	`mstat( 5) sstat(1)`	`-254.82412037`
`glider50`	`0.3100`	`55.3500`	---	`mstat( 5) sstat(1)`	`-1286.97737315`
`infeas1 (max)`	`0.3500`	`0.0200`	---	`13685.59647018`	`mstat( 4) sstat(1)`
`jbearing100`	`0.4700`	`40.2300`	`0.012`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.1100`	`6.6600`	`0.017`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.2000`	`29.9100`	`0.007`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.3200`	`26.7100`	`0.012`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.0300`	`0.3600`	`0.083`	`0.55459540`	`0.55459540`
`lnts200`	`0.0600`	`1.4300`	`0.042`	`0.55457702`	`0.55457702`
`lnts400`	`0.0800`	`6.3600`	`0.013`	`0.55457241`	`0.55457241`
`methanol100`	`0.2700`	`0.8500`	`0.318`	`0.00902229`	`0.00902229`
`methanol200`	`2.5700`	`2.4800`	`1.036`	`0.00902229`	`0.00902229`
`methanol400`	`4.0900`	`8.4000`	`0.487`	`0.00902229`	`0.00902229`
`methanol50`	`0.0900`	`0.3500`	`0.257`	`0.00902229`	`0.00902229`
`minsurf100`	`0.5800`	`295.6700`	`0.002`	`2.50694962`	`2.50694926`
`minsurf25`	`0.1300`	`5.4600`	`0.024`	`2.51948798`	`2.51948768`
`minsurf50`	`0.2600`	`67.8900`	`0.004`	`2.51489003`	`2.51488916`
`minsurf75`	`1.5700`	`152.5700`	`0.010`	`2.50568664`	`2.50568648`
`pinene100`	`0.1600`	`2.3000`	`0.070`	`19.87217015`	`19.87217014`
`pinene200`	`0.4700`	`10.5100`	`0.045`	`19.87216684`	`19.87216684`
`pinene25`	`0.0800`	`1.0000`	`0.080`	`19.87216552`	`19.87216552`
`pinene50`	`0.0800`	`0.9800`	`0.082`	`19.87216552`	`19.87216552`
`polygon100`	`3.8400`	`20.7200`	`0.185`	`-0.78505614`	`-0.78503127`
`polygon25`	`0.0700`	`0.0300`	`2.333`	`-0.77974054`	`-0.77973670`
`polygon50`	`0.6500`	`1.5000`	`0.433`	`-0.78213256`	`-0.78401305`
`polygon75`	`2.8700`	`5.1400`	`0.558`	`-0.78446376`	`-0.78478846`
`popdynm100`	`0.2300`	`1.9300`	`0.119`	`19746.52860214`	`19746.52860217`
`popdynm200`	`0.6400`	`5.9600`	`0.107`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.1400`	`0.3100`	`0.452`	`19752.21541508`	`19752.21541511`
`popdynm50`	`0.1600`	`1.0300`	`0.155`	`19746.54515625`	`19746.54515628`
`robot100`	`7.0900`	`0.8200`	---	`mstat( 3) sstat(1)`	`9.14268538`
`robot200`	`0.2700`	`15.2600`	`0.018`	`9.14139675`	`9.14139550`
`robot400`	`0.7600`	`44.6300`	`0.017`	`9.14102607`	`9.14102603`
`robot50`	`327.3300`	`0.1600`	---	`mstat( 3) sstat(1)`	`9.14687850`
`rocket100`	`1.8400`	`0.6700`	`2.746`	`-1.01283202`	`-1.01283202`
`rocket200`	`11.8300`	`2.9800`	`3.970`	`-1.01283569`	`-1.01283569`
`rocket400`	`116.9400`	`9.2400`	`12.656`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.6100`	`19.1900`	`0.032`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1300`	`1.4500`	`0.090`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.2900`	`12.9000`	`0.022`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.4500`	`12.3000`	`0.037`	`-0.41819939`	`-0.41819940`