Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 11/20/09 15:35:09 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 COINIPOPTmumps is represented on the left (rows) and solver PATHNLP 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-2.trc
Tracefile 2:	PATHNLP-1.trc
Solvers used :	COINIPOPTmumps
	PATHNLP
Modeltype(s)	`NLP`

	PATHNLP: optimal	PATHNLP: locally optimal	PATHNLP: feasible	PATHNLP: infeasible	PATHNLP: unbounded	PATHNLP: fail	PATHNLP: no data	total COINIPOPTmumps
COINIPOPTmumps: optimal	-	-	-	-	-	-	-	`-`
COINIPOPTmumps: locally optimal	-	`53`	`11`	-	-	`9`	-	`73`
COINIPOPTmumps: feasible	-	-	-	-	-	-	-	`-`
COINIPOPTmumps: infeasible	-	-	-	-	-	`3`	-	`3`
COINIPOPTmumps: unbounded	-	`1`	-	-	-	-	-	`1`
COINIPOPTmumps: fail	-	`1`	`2`	-	-	`1`	-	`4`
COINIPOPTmumps: no data	-	-	-	-	-	-	-	`-`
total PATHNLP	`-`	`55`	`13`	`-`	`-`	`13`	`-`	`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.

COINIPOPTmumps: locally optimal -- PATHNLP: locally optimal

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/PATHNLP)	Obj (COINIPOPTmumps)	Obj (PATHNLP)
`arki0002`	`0.3300`	`0.7200`	`0.458`	`1.87252774`	`1.87252775`
`arki0016`	`16.0000`	`2.4000`	`6.667`	`867.97316601`	`867.97316601`
`arki0017`	`1.5500`	`5.2700`	`0.294`	`-121.83308011`	`-121.83308010`
`arki0018`	`0.8500`	`1.8700`	`0.455`	`0.01045662`	`0.01045662`
`arki0020`	`0.1400`	`0.4800`	`0.292`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4300`	`4.3900`	`0.098`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7200`	`9.4700`	`0.076`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.5400`	`52.5500`	`0.029`	`-153.66007775`	`-153.66007775`
`catmix100`	`0.0700`	`0.2100`	`0.333`	`-0.04806941`	`-0.04806942`
`catmix200`	`0.0800`	`0.8800`	`0.091`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.1500`	`2.6200`	`0.057`	`-0.04805654`	`-0.04805655`
`catmix800`	`0.2600`	`3.7000`	`0.070`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0800`	`4.2900`	`0.019`	`5.06862169`	`5.06862169`
`flowchan100`	`0.1000`	`0.1200`	`0.833`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2000`	`0.2600`	`0.769`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4300`	`0.6900`	`0.623`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4400`	`0.2800`	`1.571`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7700`	`0.8900`	`0.865`	`0.00523660`	`0.00523660`
`gasoil400`	`1.7100`	`3.2200`	`0.531`	`0.00523660`	`0.00523660`
`gasoil50`	`0.2000`	`0.1000`	`2.000`	`0.00523664`	`0.00523664`
`infeas1`	`0.7200`	`1.6000`	`0.450`	`13685.59647018`	`13685.59646388`
`jbearing100`	`0.7700`	`4.6600`	`0.165`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.2200`	`0.3600`	`0.611`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.3200`	`1.2900`	`0.248`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.5100`	`2.6700`	`0.191`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.1000`	`1.5700`	`0.064`	`0.55459540`	`0.55459540`
`lnts200`	`0.1600`	`43.6100`	`0.004`	`0.55457702`	`0.55457702`
`methanol100`	`0.4900`	`0.3800`	`1.289`	`0.00902229`	`0.00902229`
`methanol200`	`5.7900`	`1.1800`	`4.907`	`0.01726075`	`0.00902229`
`methanol400`	`6.8200`	`4.2200`	`1.616`	`0.00902229`	`0.00902229`
`methanol50`	`0.2200`	`0.1300`	`1.692`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8000`	`5.3400`	`0.150`	`2.50694962`	`2.50694926`
`minsurf25`	`0.2100`	`0.3500`	`0.600`	`2.51948798`	`2.51948768`
`minsurf50`	`0.3600`	`1.2800`	`0.281`	`2.51489003`	`2.51488916`
`minsurf75`	`2.2000`	`2.5800`	`0.853`	`2.50568692`	`2.50568648`
`pinene100`	`0.4700`	`5.5100`	`0.085`	`19.87217015`	`19.87217015`
`pinene200`	`0.9800`	`12.2000`	`0.080`	`19.87216684`	`19.87216684`
`pinene25`	`0.2600`	`0.5400`	`0.481`	`19.87216552`	`19.87216552`
`pinene50`	`0.2600`	`0.5200`	`0.500`	`19.87216552`	`19.87216552`
`polygon25`	`0.1300`	`0.6600`	`0.197`	`-0.77974054`	`-0.77967824`
`polygon50`	`1.6600`	`46.2100`	`0.036`	`-0.78213256`	`-0.75326686`
`polygon75`	`5.5200`	`16.7200`	`0.330`	`-0.78446376`	`-0.75571564`
`popdynm100`	`0.5400`	`2.2300`	`0.242`	`19746.52860214`	`19746.52860217`
`popdynm200`	`1.3200`	`7.2800`	`0.181`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.2900`	`0.1400`	`2.071`	`19752.21541508`	`19752.21541511`
`popdynm50`	`0.9300`	`0.5400`	`1.722`	`19746.54515625`	`19746.54515628`
`robot200`	`0.8500`	`63.1100`	`0.013`	`9.14139688`	`9.14139550`
`robot400`	`2.6500`	`52.8800`	`0.050`	`9.14102607`	`9.14102603`
`rocket400`	`233.5700`	`833.7600`	`0.280`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.8400`	`13.5300`	`0.062`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1700`	`0.6800`	`0.250`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.4300`	`3.1200`	`0.138`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.5900`	`7.3300`	`0.080`	`-0.41819939`	`-0.41819940`

COINIPOPTmumps: locally optimal -- PATHNLP: feasible

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/PATHNLP)	Obj (COINIPOPTmumps)	Obj (PATHNLP)
`arki0004`	`4.3800`	`526.5600`	`0.008`	`327.73301341`	`17731.06323519`
`arki0011`	`91.8000`	`3610.1900`	`0.025`	`-224086.45967511`	`-224086.46003872`
`arki0015`	`5.8000`	`243.0200`	`0.024`	`-266.94068809`	`-180.93272868`
`ex8_2_2a`	`4.7400`	`1158.9300`	`0.004`	`-552.66625903`	`-197.21501795`
`ex8_2_2b`	`6.4200`	`580.0700`	`0.011`	`-552.66625998`	`133.23088057`
`ex8_2_3a`	`11.2400`	`2895.7000`	`0.004`	`-3731.07929678`	`-3106.30213581`
`ex8_2_3b`	`13.3600`	`4028.3600`	`0.003`	`-3731.07929695`	`-3114.15610847`
`ex8_2_5a`	`3.3900`	`358.8600`	`0.009`	`-830.33806763`	`-454.77410661`
`ex8_2_5b`	`10.0900`	`1234.6100`	`0.008`	`-830.33806763`	`-212.13224116`
`lnts400`	`0.2800`	`268.7000`	`0.001`	`0.55457241`	`1.33410797`
`polygon100`	`4.9100`	`441.6900`	`0.011`	`-0.78505614`	`-0.54505636`

COINIPOPTmumps: locally optimal -- PATHNLP: fail

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/PATHNLP)	Obj (COINIPOPTmumps)	Status (PATHNLP)
`arki0012`	`152.7300`	`0.1200`	---	`-224252.42586225`	`mstat(14)sstat( 9)`
`arki0013`	`130.1600`	`0.1100`	---	`-224253.08535820`	`mstat(14)sstat( 9)`
`arki0014`	`123.8300`	`0.1300`	---	`-223977.05565642`	`mstat(14)sstat( 9)`
`camshape400`	`1.3000`	`12.5400`	---	`-4.27569663`	`mstat( 6)sstat( 4)`
`camshape800`	`150.8900`	`69.6400`	---	`-4.27430687`	`mstat( 6)sstat( 4)`
`elec200`	`56.2600`	`3635.2700`	---	`18439.26774952`	`mstat( 6)sstat( 3)`
`glider200`	`1094.5800`	`517.4200`	---	`-1248.80942633`	`mstat( 6)sstat( 4)`
`rocket100`	`5.5200`	`30.0400`	---	`-1.01283202`	`mstat( 6)sstat( 4)`
`rocket200`	`32.9500`	`119.6800`	---	`-1.01283569`	`mstat( 6)sstat( 4)`

COINIPOPTmumps: infeasible -- PATHNLP: fail

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/PATHNLP)	Status (COINIPOPTmumps)	Status (PATHNLP)
`glider100`	`2.1700`	`72.2900`	---	`mstat( 5)sstat( 1)`	`mstat( 6)sstat( 4)`
`glider400`	`8.3000`	`1844.9700`	---	`mstat( 5)sstat( 1)`	`mstat( 6)sstat( 4)`
`glider50`	`0.8000`	`42.8500`	---	`mstat( 5)sstat( 1)`	`mstat( 6)sstat( 4)`

COINIPOPTmumps: unbounded -- PATHNLP: locally optimal

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/PATHNLP)	Status (COINIPOPTmumps)	Obj (PATHNLP)
`robot50`	`10.3300`	`1.0400`	---	`mstat( 3)sstat( 1)`	`9.14687850`

COINIPOPTmumps: fail -- PATHNLP: locally optimal

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/PATHNLP)	Status (COINIPOPTmumps)	Obj (PATHNLP)
`robot100`	`3600.1400`	`1.0500`	---	`mstat( 6)sstat( 3)`	`9.14268538`

COINIPOPTmumps: fail -- PATHNLP: feasible

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/PATHNLP)	Status (COINIPOPTmumps)	Obj (PATHNLP)
`arki0003`	`3600.0100`	`647.0700`	---	`mstat( 6)sstat( 3)`	`2057363.84652296`
`ex8_2_2`	`3668.4300`	`1849.9500`	---	`mstat( 6)sstat( 3)`	`25.74674493`

COINIPOPTmumps: fail -- PATHNLP: fail

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/PATHNLP)	Status (COINIPOPTmumps)	Status (PATHNLP)
`arki0008`	`741.6800`	`953.9300`	---	`mstat( 6)sstat( 4)`	`mstat( 6)sstat( 4)`

COINIPOPTmumps: locally optimal:

Modelname	Time (COINIPOPTmumps)	Obj (COINIPOPTmumps)
`arki0002`	`0.3300`	`1.87252774`
`arki0004`	`4.3800`	`327.73301341`
`arki0011`	`91.8000`	`-224086.45967511`
`arki0012`	`152.7300`	`-224252.42586225`
`arki0013`	`130.1600`	`-224253.08535820`
`arki0014`	`123.8300`	`-223977.05565642`
`arki0015`	`5.8000`	`-266.94068809`
`arki0016`	`16.0000`	`867.97316601`
`arki0017`	`1.5500`	`-121.83308011`
`arki0018`	`0.8500`	`0.01045662`
`arki0020`	`0.1400`	`-41.07495436`
`arki0021`	`0.4300`	`-72.58210091`
`arki0022`	`0.7200`	`-87.09909127`
`arki0023`	`1.5400`	`-153.66007775`
`camshape400`	`1.3000`	`-4.27569663`
`camshape800`	`150.8900`	`-4.27430687`
`catmix100`	`0.0700`	`-0.04806941`
`catmix200`	`0.0800`	`-0.04805914`
`catmix400`	`0.1500`	`-0.04805654`
`catmix800`	`0.2600`	`-0.04805590`
`chain400`	`0.0800`	`5.06862169`
`elec200`	`56.2600`	`18439.26774952`
`ex8_2_2a`	`4.7400`	`-552.66625903`
`ex8_2_2b`	`6.4200`	`-552.66625998`
`ex8_2_3a`	`11.2400`	`-3731.07929678`
`ex8_2_3b`	`13.3600`	`-3731.07929695`
`ex8_2_5a`	`3.3900`	`-830.33806763`
`ex8_2_5b`	`10.0900`	`-830.33806763`
`flowchan100`	`0.1000`	`0.00000000`
`flowchan200`	`0.2000`	`0.00000000`
`flowchan400`	`0.4300`	`0.00000000`
`gasoil100`	`0.4400`	`0.00523659`
`gasoil200`	`0.7700`	`0.00523660`
`gasoil400`	`1.7100`	`0.00523660`
`gasoil50`	`0.2000`	`0.00523664`
`glider200`	`1094.5800`	`-1248.80942633`
`infeas1`	`0.7200`	`13685.59647018`
`jbearing100`	`0.7700`	`-0.15504194`
`jbearing25`	`0.2200`	`-0.15401551`
`jbearing50`	`0.3200`	`-0.15482381`
`jbearing75`	`0.5100`	`-0.15498446`
`lnts100`	`0.1000`	`0.55459540`
`lnts200`	`0.1600`	`0.55457702`
`lnts400`	`0.2800`	`0.55457241`
`methanol100`	`0.4900`	`0.00902229`
`methanol200`	`5.7900`	`0.01726075`
`methanol400`	`6.8200`	`0.00902229`
`methanol50`	`0.2200`	`0.00902229`
`minsurf100`	`0.8000`	`2.50694962`
`minsurf25`	`0.2100`	`2.51948798`
`minsurf50`	`0.3600`	`2.51489003`
`minsurf75`	`2.2000`	`2.50568692`
`pinene100`	`0.4700`	`19.87217015`
`pinene200`	`0.9800`	`19.87216684`
`pinene25`	`0.2600`	`19.87216552`
`pinene50`	`0.2600`	`19.87216552`
`polygon100`	`4.9100`	`-0.78505614`
`polygon25`	`0.1300`	`-0.77974054`
`polygon50`	`1.6600`	`-0.78213256`
`polygon75`	`5.5200`	`-0.78446376`
`popdynm100`	`0.5400`	`19746.52860214`
`popdynm200`	`1.3200`	`19746.52964658`
`popdynm25`	`0.2900`	`19752.21541508`
`popdynm50`	`0.9300`	`19746.54515625`
`robot200`	`0.8500`	`9.14139688`
`robot400`	`2.6500`	`9.14102607`
`rocket100`	`5.5200`	`-1.01283202`
`rocket200`	`32.9500`	`-1.01283569`
`rocket400`	`233.5700`	`-1.01283661`
`torsion100`	`0.8400`	`-0.41823920`
`torsion25`	`0.1700`	`-0.41751073`
`torsion50`	`0.4300`	`-0.41808762`
`torsion75`	`0.5900`	`-0.41819939`

COINIPOPTmumps: infeasible:

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

COINIPOPTmumps: unbounded:

Modelname	Time (COINIPOPTmumps)	Status (COINIPOPTmumps)
`robot50`	`10.3300`	`mstat( 3) sstat( 1)`

COINIPOPTmumps: fail:

Modelname	Time (COINIPOPTmumps)	Status (COINIPOPTmumps)
`arki0003`	`--`	`mstat( 6) sstat( 3)`
`arki0008`	`--`	`mstat( 6) sstat( 4)`
`ex8_2_2`	`--`	`mstat( 6) sstat( 3)`
`robot100`	`--`	`mstat( 6) sstat( 3)`

PATHNLP: locally optimal:

Modelname	Time (PATHNLP)	Obj (PATHNLP)
`arki0002`	`0.7200`	`1.87252775`
`arki0016`	`2.4000`	`867.97316601`
`arki0017`	`5.2700`	`-121.83308010`
`arki0018`	`1.8700`	`0.01045662`
`arki0020`	`0.4800`	`-41.07495436`
`arki0021`	`4.3900`	`-72.58210091`
`arki0022`	`9.4700`	`-87.09909127`
`arki0023`	`52.5500`	`-153.66007775`
`catmix100`	`0.2100`	`-0.04806942`
`catmix200`	`0.8800`	`-0.04805914`
`catmix400`	`2.6200`	`-0.04805655`
`catmix800`	`3.7000`	`-0.04805590`
`chain400`	`4.2900`	`5.06862169`
`flowchan100`	`0.1200`	`0.00000000`
`flowchan200`	`0.2600`	`0.00000000`
`flowchan400`	`0.6900`	`0.00000000`
`gasoil100`	`0.2800`	`0.00523659`
`gasoil200`	`0.8900`	`0.00523660`
`gasoil400`	`3.2200`	`0.00523660`
`gasoil50`	`0.1000`	`0.00523664`
`infeas1`	`1.6000`	`13685.59646388`
`jbearing100`	`4.6600`	`-0.15504196`
`jbearing25`	`0.3600`	`-0.15401554`
`jbearing50`	`1.2900`	`-0.15482422`
`jbearing75`	`2.6700`	`-0.15498453`
`lnts100`	`1.5700`	`0.55459540`
`lnts200`	`43.6100`	`0.55457702`
`methanol100`	`0.3800`	`0.00902229`
`methanol200`	`1.1800`	`0.00902229`
`methanol400`	`4.2200`	`0.00902229`
`methanol50`	`0.1300`	`0.00902229`
`minsurf100`	`5.3400`	`2.50694926`
`minsurf25`	`0.3500`	`2.51948768`
`minsurf50`	`1.2800`	`2.51488916`
`minsurf75`	`2.5800`	`2.50568648`
`pinene100`	`5.5100`	`19.87217015`
`pinene200`	`12.2000`	`19.87216684`
`pinene25`	`0.5400`	`19.87216552`
`pinene50`	`0.5200`	`19.87216552`
`polygon25`	`0.6600`	`-0.77967824`
`polygon50`	`46.2100`	`-0.75326686`
`polygon75`	`16.7200`	`-0.75571564`
`popdynm100`	`2.2300`	`19746.52860217`
`popdynm200`	`7.2800`	`19746.52964660`
`popdynm25`	`0.1400`	`19752.21541511`
`popdynm50`	`0.5400`	`19746.54515628`
`robot100`	`1.0500`	`9.14268538`
`robot200`	`63.1100`	`9.14139550`
`robot400`	`52.8800`	`9.14102603`
`robot50`	`1.0400`	`9.14687850`
`rocket400`	`833.7600`	`-1.01283661`
`torsion100`	`13.5300`	`-0.41823921`
`torsion25`	`0.6800`	`-0.41751073`
`torsion50`	`3.1200`	`-0.41808763`
`torsion75`	`7.3300`	`-0.41819940`

PATHNLP: feasible:

Modelname	Time (PATHNLP)	Obj (PATHNLP)
`arki0003`	`647.0700`	`2057363.84652296`
`arki0004`	`526.5600`	`17731.06323519`
`arki0011`	`3610.1900`	`-224086.46003872`
`arki0015`	`243.0200`	`-180.93272868`
`ex8_2_2`	`1849.9500`	`25.74674493`
`ex8_2_2a`	`1158.9300`	`-197.21501795`
`ex8_2_2b`	`580.0700`	`133.23088057`
`ex8_2_3a`	`2895.7000`	`-3106.30213581`
`ex8_2_3b`	`4028.3600`	`-3114.15610847`
`ex8_2_5a`	`358.8600`	`-454.77410661`
`ex8_2_5b`	`1234.6100`	`-212.13224116`
`lnts400`	`268.7000`	`1.33410797`
`polygon100`	`441.6900`	`-0.54505636`

PATHNLP: fail:

Modelname	Time (PATHNLP)	Status (PATHNLP)
`arki0008`	`--`	`mstat( 6)sstat( 4)`
`arki0012`	`--`	`mstat(14)sstat( 9)`
`arki0013`	`--`	`mstat(14)sstat( 9)`
`arki0014`	`--`	`mstat(14)sstat( 9)`
`camshape400`	`--`	`mstat( 6)sstat( 4)`
`camshape800`	`--`	`mstat( 6)sstat( 4)`
`elec200`	`--`	`mstat( 6)sstat( 3)`
`glider100`	`--`	`mstat( 6)sstat( 4)`
`glider200`	`--`	`mstat( 6)sstat( 4)`
`glider400`	`--`	`mstat( 6)sstat( 4)`
`glider50`	`--`	`mstat( 6)sstat( 4)`
`rocket100`	`--`	`mstat( 6)sstat( 4)`
`rocket200`	`--`	`mstat( 6)sstat( 4)`

COINIPOPTmumps: all -- PATHNLP: all

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

Modelname	Time (COINIPOPTmumps)	Time (PATHNLP)	Ratio (COINIPOPTmumps/ PATHNLP)	Obj (COINIPOPTmumps)	Obj (PATHNLP)
`arki0002`	`0.3300`	`0.7200`	`0.458`	`1.87252774`	`1.87252775`
`arki0003`	`3600.0100`	`647.0700`	---	`mstat( 6) sstat(3)`	`2057363.84652296`
`arki0004`	`4.3800`	`526.5600`	`0.008`	`327.73301341`	`17731.06323519`
`arki0008`	`741.6800`	`953.9300`	---	`mstat( 6) sstat(4)`	`mstat( 6) sstat(4)`
`arki0011`	`91.8000`	`3610.1900`	`0.025`	`-224086.45967511`	`-224086.46003872`
`arki0012`	`152.7300`	`0.1200`	---	`-224252.42586225`	`mstat(14) sstat(9)`
`arki0013`	`130.1600`	`0.1100`	---	`-224253.08535820`	`mstat(14) sstat(9)`
`arki0014`	`123.8300`	`0.1300`	---	`-223977.05565642`	`mstat(14) sstat(9)`
`arki0015`	`5.8000`	`243.0200`	`0.024`	`-266.94068809`	`-180.93272868`
`arki0016`	`16.0000`	`2.4000`	`6.667`	`867.97316601`	`867.97316601`
`arki0017`	`1.5500`	`5.2700`	`0.294`	`-121.83308011`	`-121.83308010`
`arki0018`	`0.8500`	`1.8700`	`0.455`	`0.01045662`	`0.01045662`
`arki0020`	`0.1400`	`0.4800`	`0.292`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4300`	`4.3900`	`0.098`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7200`	`9.4700`	`0.076`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.5400`	`52.5500`	`0.029`	`-153.66007775`	`-153.66007775`
`camshape400`	`1.3000`	`12.5400`	---	`-4.27569663`	`mstat( 6) sstat(4)`
`camshape800`	`150.8900`	`69.6400`	---	`-4.27430687`	`mstat( 6) sstat(4)`
`catmix100`	`0.0700`	`0.2100`	`0.333`	`-0.04806941`	`-0.04806942`
`catmix200`	`0.0800`	`0.8800`	`0.091`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.1500`	`2.6200`	`0.057`	`-0.04805654`	`-0.04805655`
`catmix800`	`0.2600`	`3.7000`	`0.070`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0800`	`4.2900`	`0.019`	`5.06862169`	`5.06862169`
`elec200`	`56.2600`	`3635.2700`	---	`18439.26774952`	`mstat( 6) sstat(3)`
`ex8_2_2`	`3668.4300`	`1849.9500`	---	`mstat( 6) sstat(3)`	`25.74674493`
`ex8_2_2a`	`4.7400`	`1158.9300`	`0.004`	`-552.66625903`	`-197.21501795`
`ex8_2_2b`	`6.4200`	`580.0700`	`0.011`	`-552.66625998`	`133.23088057`
`ex8_2_3a`	`11.2400`	`2895.7000`	`0.004`	`-3731.07929678`	`-3106.30213581`
`ex8_2_3b`	`13.3600`	`4028.3600`	`0.003`	`-3731.07929695`	`-3114.15610847`
`ex8_2_5a`	`3.3900`	`358.8600`	`0.009`	`-830.33806763`	`-454.77410661`
`ex8_2_5b`	`10.0900`	`1234.6100`	`0.008`	`-830.33806763`	`-212.13224116`
`flowchan100`	`0.1000`	`0.1200`	`0.833`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2000`	`0.2600`	`0.769`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4300`	`0.6900`	`0.623`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4400`	`0.2800`	`1.571`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7700`	`0.8900`	`0.865`	`0.00523660`	`0.00523660`
`gasoil400`	`1.7100`	`3.2200`	`0.531`	`0.00523660`	`0.00523660`
`gasoil50`	`0.2000`	`0.1000`	`2.000`	`0.00523664`	`0.00523664`
`glider100`	`2.1700`	`72.2900`	---	`mstat( 5) sstat(1)`	`mstat( 6) sstat(4)`
`glider200`	`1094.5800`	`517.4200`	---	`-1248.80942633`	`mstat( 6) sstat(4)`
`glider400`	`8.3000`	`1844.9700`	---	`mstat( 5) sstat(1)`	`mstat( 6) sstat(4)`
`glider50`	`0.8000`	`42.8500`	---	`mstat( 5) sstat(1)`	`mstat( 6) sstat(4)`
`infeas1 (max)`	`0.7200`	`1.6000`	`0.450`	`13685.59647018`	`13685.59646388`
`jbearing100`	`0.7700`	`4.6600`	`0.165`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.2200`	`0.3600`	`0.611`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.3200`	`1.2900`	`0.248`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.5100`	`2.6700`	`0.191`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.1000`	`1.5700`	`0.064`	`0.55459540`	`0.55459540`
`lnts200`	`0.1600`	`43.6100`	`0.004`	`0.55457702`	`0.55457702`
`lnts400`	`0.2800`	`268.7000`	`0.001`	`0.55457241`	`1.33410797`
`methanol100`	`0.4900`	`0.3800`	`1.289`	`0.00902229`	`0.00902229`
`methanol200`	`5.7900`	`1.1800`	`4.907`	`0.01726075`	`0.00902229`
`methanol400`	`6.8200`	`4.2200`	`1.616`	`0.00902229`	`0.00902229`
`methanol50`	`0.2200`	`0.1300`	`1.692`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8000`	`5.3400`	`0.150`	`2.50694962`	`2.50694926`
`minsurf25`	`0.2100`	`0.3500`	`0.600`	`2.51948798`	`2.51948768`
`minsurf50`	`0.3600`	`1.2800`	`0.281`	`2.51489003`	`2.51488916`
`minsurf75`	`2.2000`	`2.5800`	`0.853`	`2.50568692`	`2.50568648`
`pinene100`	`0.4700`	`5.5100`	`0.085`	`19.87217015`	`19.87217015`
`pinene200`	`0.9800`	`12.2000`	`0.080`	`19.87216684`	`19.87216684`
`pinene25`	`0.2600`	`0.5400`	`0.481`	`19.87216552`	`19.87216552`
`pinene50`	`0.2600`	`0.5200`	`0.500`	`19.87216552`	`19.87216552`
`polygon100`	`4.9100`	`441.6900`	`0.011`	`-0.78505614`	`-0.54505636`
`polygon25`	`0.1300`	`0.6600`	`0.197`	`-0.77974054`	`-0.77967824`
`polygon50`	`1.6600`	`46.2100`	`0.036`	`-0.78213256`	`-0.75326686`
`polygon75`	`5.5200`	`16.7200`	`0.330`	`-0.78446376`	`-0.75571564`
`popdynm100`	`0.5400`	`2.2300`	`0.242`	`19746.52860214`	`19746.52860217`
`popdynm200`	`1.3200`	`7.2800`	`0.181`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.2900`	`0.1400`	`2.071`	`19752.21541508`	`19752.21541511`
`popdynm50`	`0.9300`	`0.5400`	`1.722`	`19746.54515625`	`19746.54515628`
`robot100`	`3600.1400`	`1.0500`	---	`mstat( 6) sstat(3)`	`9.14268538`
`robot200`	`0.8500`	`63.1100`	`0.013`	`9.14139688`	`9.14139550`
`robot400`	`2.6500`	`52.8800`	`0.050`	`9.14102607`	`9.14102603`
`robot50`	`10.3300`	`1.0400`	---	`mstat( 3) sstat(1)`	`9.14687850`
`rocket100`	`5.5200`	`30.0400`	---	`-1.01283202`	`mstat( 6) sstat(4)`
`rocket200`	`32.9500`	`119.6800`	---	`-1.01283569`	`mstat( 6) sstat(4)`
`rocket400`	`233.5700`	`833.7600`	`0.280`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.8400`	`13.5300`	`0.062`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1700`	`0.6800`	`0.250`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.4300`	`3.1200`	`0.138`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.5900`	`7.3300`	`0.080`	`-0.41819939`	`-0.41819940`