Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 11/20/09 15:35:10 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 SNOPT 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:	SNOPT-1.trc
Tracefile 2:	PATHNLP-1.trc
Solvers used :	SNOPT
	PATHNLP
Modeltype(s)	`NLP`

	PATHNLP: optimal	PATHNLP: locally optimal	PATHNLP: feasible	PATHNLP: infeasible	PATHNLP: unbounded	PATHNLP: fail	PATHNLP: no data	total SNOPT
SNOPT: optimal	-	-	-	-	-	-	-	`-`
SNOPT: locally optimal	-	`50`	`12`	-	-	`8`	-	`70`
SNOPT: feasible	-	`3`	-	-	-	`2`	-	`5`
SNOPT: infeasible	-	`1`	-	-	-	`3`	-	`4`
SNOPT: unbounded	-	-	-	-	-	-	-	`-`
SNOPT: fail	-	`1`	`1`	-	-	-	-	`2`
SNOPT: 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.

SNOPT: locally optimal -- PATHNLP: locally optimal

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Obj (SNOPT)	Obj (PATHNLP)
`arki0002`	`154.4600`	`0.7200`	`214.528`	`1.09249984`	`1.87252775`
`arki0020`	`22.2700`	`0.4800`	`46.396`	`-41.07495436`	`-41.07495436`
`arki0021`	`89.1400`	`4.3900`	`20.305`	`-72.58210091`	`-72.58210091`
`arki0022`	`110.2400`	`9.4700`	`11.641`	`-87.09909127`	`-87.09909127`
`catmix100`	`0.1600`	`0.2100`	`0.762`	`-0.04806940`	`-0.04806942`
`catmix200`	`0.7000`	`0.8800`	`0.795`	`-0.04805914`	`-0.04805914`
`catmix400`	`2.4800`	`2.6200`	`0.947`	`-0.04805655`	`-0.04805655`
`catmix800`	`10.7000`	`3.7000`	`2.892`	`-0.04805590`	`-0.04805590`
`chain400`	`7.0200`	`4.2900`	`1.636`	`5.06862169`	`5.06862169`
`flowchan100`	`0.3200`	`0.1200`	`2.667`	`0.00000000`	`0.00000000`
`flowchan200`	`1.0600`	`0.2600`	`4.077`	`0.00000000`	`0.00000000`
`flowchan400`	`3.2800`	`0.6900`	`4.754`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4900`	`0.2800`	`1.750`	`0.00523659`	`0.00523659`
`gasoil200`	`1.4800`	`0.8900`	`1.663`	`0.00523660`	`0.00523660`
`gasoil400`	`6.6200`	`3.2200`	`2.056`	`0.00523660`	`0.00523660`
`gasoil50`	`0.2200`	`0.1000`	`2.200`	`0.00523664`	`0.00523664`
`jbearing100`	`40.2300`	`4.6600`	`8.633`	`-0.15504196`	`-0.15504196`
`jbearing25`	`6.6600`	`0.3600`	`18.500`	`-0.15401554`	`-0.15401554`
`jbearing50`	`29.9100`	`1.2900`	`23.186`	`-0.15482422`	`-0.15482422`
`jbearing75`	`26.7100`	`2.6700`	`10.004`	`-0.15498453`	`-0.15498453`
`lnts100`	`0.3600`	`1.5700`	`0.229`	`0.55459540`	`0.55459540`
`lnts200`	`1.4300`	`43.6100`	`0.033`	`0.55457702`	`0.55457702`
`methanol100`	`0.8500`	`0.3800`	`2.237`	`0.00902229`	`0.00902229`
`methanol200`	`2.4800`	`1.1800`	`2.102`	`0.00902229`	`0.00902229`
`methanol400`	`8.4000`	`4.2200`	`1.991`	`0.00902229`	`0.00902229`
`methanol50`	`0.3500`	`0.1300`	`2.692`	`0.00902229`	`0.00902229`
`minsurf100`	`295.6700`	`5.3400`	`55.369`	`2.50694926`	`2.50694926`
`minsurf25`	`5.4600`	`0.3500`	`15.600`	`2.51948768`	`2.51948768`
`minsurf50`	`67.8900`	`1.2800`	`53.039`	`2.51488916`	`2.51488916`
`minsurf75`	`152.5700`	`2.5800`	`59.136`	`2.50568648`	`2.50568648`
`pinene100`	`2.3000`	`5.5100`	`0.417`	`19.87217014`	`19.87217015`
`pinene200`	`10.5100`	`12.2000`	`0.861`	`19.87216684`	`19.87216684`
`pinene25`	`1.0000`	`0.5400`	`1.852`	`19.87216552`	`19.87216552`
`pinene50`	`0.9800`	`0.5200`	`1.885`	`19.87216552`	`19.87216552`
`polygon25`	`0.0300`	`0.6600`	`0.045`	`-0.77973670`	`-0.77967824`
`polygon50`	`1.5000`	`46.2100`	`0.032`	`-0.78401305`	`-0.75326686`
`polygon75`	`5.1400`	`16.7200`	`0.307`	`-0.78478846`	`-0.75571564`
`popdynm100`	`1.9300`	`2.2300`	`0.865`	`19746.52860217`	`19746.52860217`
`popdynm200`	`5.9600`	`7.2800`	`0.819`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.3100`	`0.1400`	`2.214`	`19752.21541511`	`19752.21541511`
`popdynm50`	`1.0300`	`0.5400`	`1.907`	`19746.54515628`	`19746.54515628`
`robot100`	`0.8200`	`1.0500`	`0.781`	`9.14268538`	`9.14268538`
`robot200`	`15.2600`	`63.1100`	`0.242`	`9.14139550`	`9.14139550`
`robot400`	`44.6300`	`52.8800`	`0.844`	`9.14102603`	`9.14102603`
`robot50`	`0.1600`	`1.0400`	`0.154`	`9.14687850`	`9.14687850`
`rocket400`	`9.2400`	`833.7600`	`0.011`	`-1.01283661`	`-1.01283661`
`torsion100`	`19.1900`	`13.5300`	`1.418`	`-0.41823921`	`-0.41823921`
`torsion25`	`1.4500`	`0.6800`	`2.132`	`-0.41751073`	`-0.41751073`
`torsion50`	`12.9000`	`3.1200`	`4.135`	`-0.41808763`	`-0.41808763`
`torsion75`	`12.3000`	`7.3300`	`1.678`	`-0.41819940`	`-0.41819940`

SNOPT: locally optimal -- PATHNLP: feasible

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Obj (SNOPT)	Obj (PATHNLP)
`arki0003`	`1.4500`	`647.0700`	`0.002`	`3795.20606780`	`2057363.84652296`
`arki0004`	`0.4100`	`526.5600`	`0.001`	`323.46703883`	`17731.06323519`
`arki0011`	`401.7400`	`3610.1900`	`0.111`	`-224086.45991302`	`-224086.46003872`
`arki0015`	`3.6100`	`243.0200`	`0.015`	`-272.29977820`	`-180.93272868`
`ex8_2_2a`	`92.3800`	`1158.9300`	`0.080`	`-552.65761566`	`-197.21501795`
`ex8_2_2b`	`6.7000`	`580.0700`	`0.012`	`-551.76977942`	`133.23088057`
`ex8_2_3a`	`48.3600`	`2895.7000`	`0.017`	`-3731.07809337`	`-3106.30213581`
`ex8_2_3b`	`22.1800`	`4028.3600`	`0.006`	`-3730.72924954`	`-3114.15610847`
`ex8_2_5a`	`184.5500`	`358.8600`	`0.514`	`-830.33802832`	`-454.77410661`
`ex8_2_5b`	`6.6800`	`1234.6100`	`0.005`	`-830.07940808`	`-212.13224116`
`lnts400`	`6.3600`	`268.7000`	`0.024`	`0.55457241`	`1.33410797`
`polygon100`	`20.7200`	`441.6900`	`0.047`	`-0.78503127`	`-0.54505636`

SNOPT: locally optimal -- PATHNLP: fail

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Obj (SNOPT)	Status (PATHNLP)
`arki0013`	`1709.7900`	`0.1100`	---	`-224253.08921947`	`mstat(14)sstat( 9)`
`arki0014`	`3504.7300`	`0.1300`	---	`-223977.09382739`	`mstat(14)sstat( 9)`
`camshape400`	`0.1100`	`12.5400`	---	`-4.27568692`	`mstat( 6)sstat( 4)`
`camshape800`	`0.4300`	`69.6400`	---	`-4.27427301`	`mstat( 6)sstat( 4)`
`elec200`	`11.7800`	`3635.2700`	---	`18438.99267601`	`mstat( 6)sstat( 3)`
`glider50`	`55.3500`	`42.8500`	---	`-1286.97737315`	`mstat( 6)sstat( 4)`
`rocket100`	`0.6700`	`30.0400`	---	`-1.01283202`	`mstat( 6)sstat( 4)`
`rocket200`	`2.9800`	`119.6800`	---	`-1.01283569`	`mstat( 6)sstat( 4)`

SNOPT: feasible -- PATHNLP: locally optimal

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Obj (SNOPT)	Obj (PATHNLP)
`arki0017`	`1680.0100`	`5.2700`	`318.787`	`-121.83308010`	`-121.83308010`
`arki0018`	`40.2800`	`1.8700`	`21.540`	`0.01197639`	`0.01045662`
`arki0023`	`81.0700`	`52.5500`	`1.543`	`-153.41732339`	`-153.66007775`

SNOPT: feasible -- PATHNLP: fail

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Obj (SNOPT)	Status (PATHNLP)
`arki0012`	`3600.2200`	`0.1200`	---	`-224171.55016260`	`mstat(14)sstat( 9)`
`glider400`	`3600.0000`	`1844.9700`	---	`-254.82412037`	`mstat( 6)sstat( 4)`

SNOPT: infeasible -- PATHNLP: locally optimal

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Status (SNOPT)	Obj (PATHNLP)
`infeas1`	`0.0200`	`1.6000`	---	`mstat( 4)sstat( 1)`	`13685.59646388`

SNOPT: infeasible -- PATHNLP: fail

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Status (SNOPT)	Status (PATHNLP)
`arki0008`	`7.4400`	`953.9300`	---	`mstat( 5)sstat( 1)`	`mstat( 6)sstat( 4)`
`glider100`	`1.2200`	`72.2900`	---	`mstat( 5)sstat( 1)`	`mstat( 6)sstat( 4)`
`glider200`	`1.8000`	`517.4200`	---	`mstat( 5)sstat( 1)`	`mstat( 6)sstat( 4)`

SNOPT: fail -- PATHNLP: locally optimal

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Status (SNOPT)	Obj (PATHNLP)
`arki0016`	`NA`	`2.4000`	---	`mstat(13)sstat(13)`	`867.97316601`

SNOPT: fail -- PATHNLP: feasible

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/PATHNLP)	Status (SNOPT)	Obj (PATHNLP)
`ex8_2_2`	`NA`	`1849.9500`	---	`mstat(13)sstat(13)`	`25.74674493`

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)`

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)`

SNOPT: all -- PATHNLP: all

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

Modelname	Time (SNOPT)	Time (PATHNLP)	Ratio (SNOPT/ PATHNLP)	Obj (SNOPT)	Obj (PATHNLP)
`arki0002`	`154.4600`	`0.7200`	`214.528`	`1.09249984`	`1.87252775`
`arki0003`	`1.4500`	`647.0700`	`0.002`	`3795.20606780`	`2057363.84652296`
`arki0004`	`0.4100`	`526.5600`	`0.001`	`323.46703883`	`17731.06323519`
`arki0008`	`7.4400`	`953.9300`	---	`mstat( 5) sstat(1)`	`mstat( 6) sstat(4)`
`arki0011`	`401.7400`	`3610.1900`	`0.111`	`-224086.45991302`	`-224086.46003872`
`arki0012`	`3600.2200`	`0.1200`	---	`-224171.55016260`	`mstat(14) sstat(9)`
`arki0013`	`1709.7900`	`0.1100`	---	`-224253.08921947`	`mstat(14) sstat(9)`
`arki0014`	`3504.7300`	`0.1300`	---	`-223977.09382739`	`mstat(14) sstat(9)`
`arki0015`	`3.6100`	`243.0200`	`0.015`	`-272.29977820`	`-180.93272868`
`arki0016`	`NA`	`2.4000`	---	`mstat(13) sstat(13)`	`867.97316601`
`arki0017`	`1680.0100`	`5.2700`	`318.787`	`-121.83308010`	`-121.83308010`
`arki0018`	`40.2800`	`1.8700`	`21.540`	`0.01197639`	`0.01045662`
`arki0020`	`22.2700`	`0.4800`	`46.396`	`-41.07495436`	`-41.07495436`
`arki0021`	`89.1400`	`4.3900`	`20.305`	`-72.58210091`	`-72.58210091`
`arki0022`	`110.2400`	`9.4700`	`11.641`	`-87.09909127`	`-87.09909127`
`arki0023`	`81.0700`	`52.5500`	`1.543`	`-153.41732339`	`-153.66007775`
`camshape400`	`0.1100`	`12.5400`	---	`-4.27568692`	`mstat( 6) sstat(4)`
`camshape800`	`0.4300`	`69.6400`	---	`-4.27427301`	`mstat( 6) sstat(4)`
`catmix100`	`0.1600`	`0.2100`	`0.762`	`-0.04806940`	`-0.04806942`
`catmix200`	`0.7000`	`0.8800`	`0.795`	`-0.04805914`	`-0.04805914`
`catmix400`	`2.4800`	`2.6200`	`0.947`	`-0.04805655`	`-0.04805655`
`catmix800`	`10.7000`	`3.7000`	`2.892`	`-0.04805590`	`-0.04805590`
`chain400`	`7.0200`	`4.2900`	`1.636`	`5.06862169`	`5.06862169`
`elec200`	`11.7800`	`3635.2700`	---	`18438.99267601`	`mstat( 6) sstat(3)`
`ex8_2_2`	`NA`	`1849.9500`	---	`mstat(13) sstat(13)`	`25.74674493`
`ex8_2_2a`	`92.3800`	`1158.9300`	`0.080`	`-552.65761566`	`-197.21501795`
`ex8_2_2b`	`6.7000`	`580.0700`	`0.012`	`-551.76977942`	`133.23088057`
`ex8_2_3a`	`48.3600`	`2895.7000`	`0.017`	`-3731.07809337`	`-3106.30213581`
`ex8_2_3b`	`22.1800`	`4028.3600`	`0.006`	`-3730.72924954`	`-3114.15610847`
`ex8_2_5a`	`184.5500`	`358.8600`	`0.514`	`-830.33802832`	`-454.77410661`
`ex8_2_5b`	`6.6800`	`1234.6100`	`0.005`	`-830.07940808`	`-212.13224116`
`flowchan100`	`0.3200`	`0.1200`	`2.667`	`0.00000000`	`0.00000000`
`flowchan200`	`1.0600`	`0.2600`	`4.077`	`0.00000000`	`0.00000000`
`flowchan400`	`3.2800`	`0.6900`	`4.754`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4900`	`0.2800`	`1.750`	`0.00523659`	`0.00523659`
`gasoil200`	`1.4800`	`0.8900`	`1.663`	`0.00523660`	`0.00523660`
`gasoil400`	`6.6200`	`3.2200`	`2.056`	`0.00523660`	`0.00523660`
`gasoil50`	`0.2200`	`0.1000`	`2.200`	`0.00523664`	`0.00523664`
`glider100`	`1.2200`	`72.2900`	---	`mstat( 5) sstat(1)`	`mstat( 6) sstat(4)`
`glider200`	`1.8000`	`517.4200`	---	`mstat( 5) sstat(1)`	`mstat( 6) sstat(4)`
`glider400`	`3600.0000`	`1844.9700`	---	`-254.82412037`	`mstat( 6) sstat(4)`
`glider50`	`55.3500`	`42.8500`	---	`-1286.97737315`	`mstat( 6) sstat(4)`
`infeas1 (max)`	`0.0200`	`1.6000`	---	`mstat( 4) sstat(1)`	`13685.59646388`
`jbearing100`	`40.2300`	`4.6600`	`8.633`	`-0.15504196`	`-0.15504196`
`jbearing25`	`6.6600`	`0.3600`	`18.500`	`-0.15401554`	`-0.15401554`
`jbearing50`	`29.9100`	`1.2900`	`23.186`	`-0.15482422`	`-0.15482422`
`jbearing75`	`26.7100`	`2.6700`	`10.004`	`-0.15498453`	`-0.15498453`
`lnts100`	`0.3600`	`1.5700`	`0.229`	`0.55459540`	`0.55459540`
`lnts200`	`1.4300`	`43.6100`	`0.033`	`0.55457702`	`0.55457702`
`lnts400`	`6.3600`	`268.7000`	`0.024`	`0.55457241`	`1.33410797`
`methanol100`	`0.8500`	`0.3800`	`2.237`	`0.00902229`	`0.00902229`
`methanol200`	`2.4800`	`1.1800`	`2.102`	`0.00902229`	`0.00902229`
`methanol400`	`8.4000`	`4.2200`	`1.991`	`0.00902229`	`0.00902229`
`methanol50`	`0.3500`	`0.1300`	`2.692`	`0.00902229`	`0.00902229`
`minsurf100`	`295.6700`	`5.3400`	`55.369`	`2.50694926`	`2.50694926`
`minsurf25`	`5.4600`	`0.3500`	`15.600`	`2.51948768`	`2.51948768`
`minsurf50`	`67.8900`	`1.2800`	`53.039`	`2.51488916`	`2.51488916`
`minsurf75`	`152.5700`	`2.5800`	`59.136`	`2.50568648`	`2.50568648`
`pinene100`	`2.3000`	`5.5100`	`0.417`	`19.87217014`	`19.87217015`
`pinene200`	`10.5100`	`12.2000`	`0.861`	`19.87216684`	`19.87216684`
`pinene25`	`1.0000`	`0.5400`	`1.852`	`19.87216552`	`19.87216552`
`pinene50`	`0.9800`	`0.5200`	`1.885`	`19.87216552`	`19.87216552`
`polygon100`	`20.7200`	`441.6900`	`0.047`	`-0.78503127`	`-0.54505636`
`polygon25`	`0.0300`	`0.6600`	`0.045`	`-0.77973670`	`-0.77967824`
`polygon50`	`1.5000`	`46.2100`	`0.032`	`-0.78401305`	`-0.75326686`
`polygon75`	`5.1400`	`16.7200`	`0.307`	`-0.78478846`	`-0.75571564`
`popdynm100`	`1.9300`	`2.2300`	`0.865`	`19746.52860217`	`19746.52860217`
`popdynm200`	`5.9600`	`7.2800`	`0.819`	`19746.52964660`	`19746.52964660`
`popdynm25`	`0.3100`	`0.1400`	`2.214`	`19752.21541511`	`19752.21541511`
`popdynm50`	`1.0300`	`0.5400`	`1.907`	`19746.54515628`	`19746.54515628`
`robot100`	`0.8200`	`1.0500`	`0.781`	`9.14268538`	`9.14268538`
`robot200`	`15.2600`	`63.1100`	`0.242`	`9.14139550`	`9.14139550`
`robot400`	`44.6300`	`52.8800`	`0.844`	`9.14102603`	`9.14102603`
`robot50`	`0.1600`	`1.0400`	`0.154`	`9.14687850`	`9.14687850`
`rocket100`	`0.6700`	`30.0400`	---	`-1.01283202`	`mstat( 6) sstat(4)`
`rocket200`	`2.9800`	`119.6800`	---	`-1.01283569`	`mstat( 6) sstat(4)`
`rocket400`	`9.2400`	`833.7600`	`0.011`	`-1.01283661`	`-1.01283661`
`torsion100`	`19.1900`	`13.5300`	`1.418`	`-0.41823921`	`-0.41823921`
`torsion25`	`1.4500`	`0.6800`	`2.132`	`-0.41751073`	`-0.41751073`
`torsion50`	`12.9000`	`3.1200`	`4.135`	`-0.41808763`	`-0.41808763`
`torsion75`	`12.3000`	`7.3300`	`1.678`	`-0.41819940`	`-0.41819940`