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 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:	IPOPT-2.trc
Tracefile 2:	SNOPT-1.trc
Solvers used :	IPOPT-MUMPS
	SNOPT
Modeltype(s)	`NLP`

	SNOPT: optimal	SNOPT: locally optimal	SNOPT: feasible	SNOPT: infeasible	SNOPT: unbounded	SNOPT: fail	SNOPT: no data	total IPOPT-MUMPS
IPOPT-MUMPS: optimal	-	-	-	-	-	-	-	`-`
IPOPT-MUMPS: locally optimal	-	`66`	`4`	`1`	-	`1`	-	`72`
IPOPT-MUMPS: feasible	-	`1`	-	-	-	`1`	-	`2`
IPOPT-MUMPS: infeasible	-	`2`	`1`	-	-	-	-	`3`
IPOPT-MUMPS: unbounded	-	-	-	-	-	-	-	`-`
IPOPT-MUMPS: fail	-	`1`	-	`2`	-	`1`	-	`4`
IPOPT-MUMPS: no data	-	-	-	-	-	-	-	`-`
total SNOPT	`-`	`70`	`5`	`3`	`-`	`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 -- SNOPT: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Obj (IPOPT-MUMPS)	Obj (SNOPT)
`arki0002`	`0.3320`	`155.9220`	`0.002`	`1.87252774`	`1.09249984`
`arki0004`	`2.7390`	`0.4440`	`6.169`	`323.46703883`	`323.46703883`
`arki0011`	`93.2640`	`417.8620`	`0.223`	`-224086.45997864`	`-224086.46000828`
`arki0012`	`89.1190`	`3241.7210`	`0.027`	`-224252.27283280`	`-224252.44559875`
`arki0013`	`146.4110`	`1487.5470`	`0.098`	`-224253.08644157`	`-224253.08921843`
`arki0015`	`4.5130`	`3.7150`	`1.215`	`-266.94068809`	`-272.29977820`
`arki0020`	`0.1470`	`25.4230`	`0.006`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4450`	`75.6490`	`0.006`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7380`	`103.7290`	`0.007`	`-87.09909127`	`-87.09909127`
`camshape400`	`1.4250`	`0.0960`	`14.844`	`-4.27569663`	`-4.27568692`
`camshape800`	`559.8860`	`0.4180`	`1339.440`	`-4.27430687`	`-4.27427301`
`catmix100`	`0.0840`	`0.1660`	`0.506`	`-0.04806941`	`-0.04806940`
`catmix200`	`0.0900`	`0.6780`	`0.133`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.1640`	`2.5770`	`0.064`	`-0.04805654`	`-0.04805655`
`catmix800`	`0.2790`	`10.9170`	`0.026`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0610`	`7.1580`	`0.009`	`5.06862169`	`5.06862169`
`elec200`	`19.5520`	`11.0000`	`1.777`	`18439.26774952`	`18438.99267601`
`ex8_2_2a`	`3.7210`	`118.9230`	`0.031`	`-552.66625903`	`-552.66024730`
`ex8_2_2b`	`5.0930`	`6.6280`	`0.768`	`-552.66625998`	`-551.76977066`
`ex8_2_3a`	`7.3830`	`64.3650`	`0.115`	`-3731.07929678`	`-3731.07808948`
`ex8_2_3b`	`8.6350`	`22.1670`	`0.390`	`-3731.07929695`	`-3730.72924771`
`ex8_2_5a`	`2.2240`	`183.9390`	`0.012`	`-830.33806763`	`-830.33802819`
`ex8_2_5b`	`3.8270`	`6.7640`	`0.566`	`-830.33806763`	`-830.07940808`
`flowchan100`	`0.1070`	`0.3330`	`0.321`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2160`	`1.0650`	`0.203`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4320`	`3.3790`	`0.128`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4290`	`0.4980`	`0.861`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7050`	`1.4750`	`0.478`	`0.00523660`	`0.00523660`
`gasoil400`	`1.5490`	`7.0000`	`0.221`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1690`	`0.2010`	`0.841`	`0.00523664`	`0.00523664`
`jbearing100`	`0.7220`	`40.0780`	`0.018`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.1740`	`7.0120`	`0.025`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.3200`	`30.7210`	`0.010`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.5130`	`24.6340`	`0.021`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.0900`	`0.3100`	`0.290`	`0.55459540`	`0.55459540`
`lnts200`	`0.1420`	`1.4820`	`0.096`	`0.55457702`	`0.55457702`
`lnts400`	`0.2830`	`6.4850`	`0.044`	`0.55457241`	`0.55457241`
`methanol100`	`0.4600`	`0.8190`	`0.562`	`0.00902229`	`0.00902229`
`methanol200`	`4.5890`	`2.5090`	`1.829`	`0.00902229`	`0.00902229`
`methanol400`	`5.3420`	`8.4200`	`0.634`	`0.00902229`	`0.00902229`
`methanol50`	`0.1660`	`1.2120`	`0.137`	`0.00902229`	`0.00902229`
`minsurf100`	`0.7840`	`307.3960`	`0.003`	`2.50694962`	`2.50694926`
`minsurf25`	`0.1680`	`5.7500`	`0.029`	`2.51948798`	`2.51948768`
`minsurf50`	`0.3480`	`67.6010`	`0.005`	`2.51489003`	`2.51488916`
`minsurf75`	`2.0900`	`155.1750`	`0.013`	`2.50568665`	`2.50568648`
`pinene100`	`0.4770`	`2.3520`	`0.203`	`19.87217015`	`19.87217014`
`pinene200`	`0.9780`	`10.7530`	`0.091`	`19.87216684`	`19.87216684`
`pinene25`	`0.2660`	`1.1890`	`0.224`	`19.87216552`	`19.87216552`
`pinene50`	`0.2630`	`1.0510`	`0.250`	`19.87216552`	`19.87216552`
`polygon100`	`1.5450`	`21.3800`	`0.072`	`-0.78505614`	`-0.78503127`
`polygon25`	`0.0910`	`0.0360`	`2.528`	`-0.77974054`	`-0.77973670`
`polygon50`	`1.1850`	`1.6020`	`0.740`	`-0.78213256`	`-0.78401305`
`polygon75`	`3.0070`	`5.3170`	`0.566`	`-0.78446376`	`-0.78478846`
`popdynm100`	`0.5200`	`1.9540`	`0.266`	`19746.52860214`	`19746.52860217`
`popdynm200`	`1.2240`	`6.1400`	`0.199`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.2880`	`0.3130`	`0.920`	`19752.21541508`	`19752.21541511`
`popdynm50`	`1.0060`	`1.0690`	`0.941`	`19746.54515625`	`19746.54515628`
`robot200`	`0.8960`	`7.1720`	`0.125`	`9.14139688`	`9.14139550`
`robot400`	`2.7410`	`73.1190`	`0.037`	`9.14102607`	`9.14102603`
`rocket100`	`9.7010`	`0.7420`	`13.074`	`-1.01283202`	`-1.01283202`
`rocket200`	`78.3440`	`4.6100`	`16.994`	`-1.01283569`	`-1.01283569`
`rocket400`	`920.4500`	`40.4500`	`22.755`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.7580`	`19.8940`	`0.038`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1630`	`1.5050`	`0.108`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.3800`	`14.2930`	`0.027`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.5740`	`12.4500`	`0.046`	`-0.41819939`	`-0.41819940`

IPOPT-MUMPS: locally optimal -- SNOPT: feasible

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Obj (IPOPT-MUMPS)	Obj (SNOPT)
`arki0014`	`88.4720`	`3600.0370`	`0.025`	`-223976.64178451`	`-223972.99474775`
`arki0017`	`1.4940`	`1715.7910`	`0.001`	`-121.83308011`	`-121.83308010`
`arki0018`	`0.6620`	`42.2100`	`0.016`	`0.01045662`	`0.01198069`
`arki0023`	`1.4360`	`82.4830`	`0.017`	`-153.66007775`	`-153.41732339`

IPOPT-MUMPS: locally optimal -- SNOPT: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Obj (IPOPT-MUMPS)	Status (SNOPT)
`infeas1`	`0.7390`	`0.0160`	---	`13685.59647017`	`mstat( 4)sstat( 1)`

IPOPT-MUMPS: locally optimal -- SNOPT: fail

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Obj (IPOPT-MUMPS)	Status (SNOPT)
`arki0016`	`16.7380`	`NA`	---	`867.97316601`	`mstat(13)sstat(13)`

IPOPT-MUMPS: feasible -- SNOPT: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Obj (IPOPT-MUMPS)	Obj (SNOPT)
`robot50`	`3610.4260`	`0.1410`	`25605.858`	`0.00000000`	`9.14687850`

IPOPT-MUMPS: feasible -- SNOPT: fail

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Obj (IPOPT-MUMPS)	Status (SNOPT)
`arki0003`	`3606.7630`	`1.1860`	---	`0.00000000`	`mstat( 6)sstat( 4)`

IPOPT-MUMPS: infeasible -- SNOPT: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Status (IPOPT-MUMPS)	Obj (SNOPT)
`glider100`	`2.0810`	`1618.6330`	---	`mstat( 5)sstat( 1)`	`-1255.05860055`
`glider50`	`0.7920`	`76.3770`	---	`mstat( 5)sstat( 1)`	`-1286.97737315`

IPOPT-MUMPS: infeasible -- SNOPT: feasible

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Status (IPOPT-MUMPS)	Obj (SNOPT)
`glider400`	`8.5880`	`3599.9900`	---	`mstat( 5)sstat( 1)`	`-252.52559804`

IPOPT-MUMPS: fail -- SNOPT: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Status (IPOPT-MUMPS)	Obj (SNOPT)
`robot100`	`3606.1300`	`0.8920`	---	`mstat( 6)sstat( 3)`	`9.14268538`

IPOPT-MUMPS: fail -- SNOPT: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Status (IPOPT-MUMPS)	Status (SNOPT)
`arki0008`	`NA`	`8.9820`	---	`mstat(13)sstat(13)`	`mstat( 5)sstat( 1)`
`glider200`	`3672.8230`	`1.8010`	---	`mstat( 6)sstat( 3)`	`mstat( 5)sstat( 1)`

IPOPT-MUMPS: fail -- SNOPT: fail

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/SNOPT)	Status (IPOPT-MUMPS)	Status (SNOPT)
`ex8_2_2`	`NA`	`82.6420`	---	`mstat(13)sstat(13)`	`mstat( 6)sstat( 4)`

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)`

SNOPT: locally optimal:

Modelname	Time (SNOPT)	Obj (SNOPT)
`arki0002`	`155.9220`	`1.09249984`
`arki0004`	`0.4440`	`323.46703883`
`arki0011`	`417.8620`	`-224086.46000828`
`arki0012`	`3241.7210`	`-224252.44559875`
`arki0013`	`1487.5470`	`-224253.08921843`
`arki0015`	`3.7150`	`-272.29977820`
`arki0020`	`25.4230`	`-41.07495436`
`arki0021`	`75.6490`	`-72.58210091`
`arki0022`	`103.7290`	`-87.09909127`
`camshape400`	`0.0960`	`-4.27568692`
`camshape800`	`0.4180`	`-4.27427301`
`catmix100`	`0.1660`	`-0.04806940`
`catmix200`	`0.6780`	`-0.04805914`
`catmix400`	`2.5770`	`-0.04805655`
`catmix800`	`10.9170`	`-0.04805590`
`chain400`	`7.1580`	`5.06862169`
`elec200`	`11.0000`	`18438.99267601`
`ex8_2_2a`	`118.9230`	`-552.66024730`
`ex8_2_2b`	`6.6280`	`-551.76977066`
`ex8_2_3a`	`64.3650`	`-3731.07808948`
`ex8_2_3b`	`22.1670`	`-3730.72924771`
`ex8_2_5a`	`183.9390`	`-830.33802819`
`ex8_2_5b`	`6.7640`	`-830.07940808`
`flowchan100`	`0.3330`	`0.00000000`
`flowchan200`	`1.0650`	`0.00000000`
`flowchan400`	`3.3790`	`0.00000000`
`gasoil100`	`0.4980`	`0.00523659`
`gasoil200`	`1.4750`	`0.00523660`
`gasoil400`	`7.0000`	`0.00523660`
`gasoil50`	`0.2010`	`0.00523664`
`glider100`	`1618.6330`	`-1255.05860055`
`glider50`	`76.3770`	`-1286.97737315`
`jbearing100`	`40.0780`	`-0.15504196`
`jbearing25`	`7.0120`	`-0.15401554`
`jbearing50`	`30.7210`	`-0.15482422`
`jbearing75`	`24.6340`	`-0.15498453`
`lnts100`	`0.3100`	`0.55459540`
`lnts200`	`1.4820`	`0.55457702`
`lnts400`	`6.4850`	`0.55457241`
`methanol100`	`0.8190`	`0.00902229`
`methanol200`	`2.5090`	`0.00902229`
`methanol400`	`8.4200`	`0.00902229`
`methanol50`	`1.2120`	`0.00902229`
`minsurf100`	`307.3960`	`2.50694926`
`minsurf25`	`5.7500`	`2.51948768`
`minsurf50`	`67.6010`	`2.51488916`
`minsurf75`	`155.1750`	`2.50568648`
`pinene100`	`2.3520`	`19.87217014`
`pinene200`	`10.7530`	`19.87216684`
`pinene25`	`1.1890`	`19.87216552`
`pinene50`	`1.0510`	`19.87216552`
`polygon100`	`21.3800`	`-0.78503127`
`polygon25`	`0.0360`	`-0.77973670`
`polygon50`	`1.6020`	`-0.78401305`
`polygon75`	`5.3170`	`-0.78478846`
`popdynm100`	`1.9540`	`19746.52860217`
`popdynm200`	`6.1400`	`19746.52964660`
`popdynm25`	`0.3130`	`19752.21541511`
`popdynm50`	`1.0690`	`19746.54515628`
`robot100`	`0.8920`	`9.14268538`
`robot200`	`7.1720`	`9.14139550`
`robot400`	`73.1190`	`9.14102603`
`robot50`	`0.1410`	`9.14687850`
`rocket100`	`0.7420`	`-1.01283202`
`rocket200`	`4.6100`	`-1.01283569`
`rocket400`	`40.4500`	`-1.01283661`
`torsion100`	`19.8940`	`-0.41823921`
`torsion25`	`1.5050`	`-0.41751073`
`torsion50`	`14.2930`	`-0.41808763`
`torsion75`	`12.4500`	`-0.41819940`

SNOPT: feasible:

Modelname	Time (SNOPT)	Obj (SNOPT)
`arki0014`	`3600.0370`	`-223972.99474775`
`arki0017`	`1715.7910`	`-121.83308010`
`arki0018`	`42.2100`	`0.01198069`
`arki0023`	`82.4830`	`-153.41732339`
`glider400`	`3599.9900`	`-252.52559804`

SNOPT: infeasible:

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

SNOPT: fail:

Modelname	Time (SNOPT)	Status (SNOPT)
`arki0003`	`--`	`mstat( 6)sstat( 4)`
`arki0016`	`--`	`mstat(13)sstat(13)`
`ex8_2_2`	`--`	`mstat( 6)sstat( 4)`

IPOPT-MUMPS: all -- SNOPT: all

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

Modelname	Time (IPOPT-MUMPS)	Time (SNOPT)	Ratio (IPOPT-MUMPS/ SNOPT)	Obj (IPOPT-MUMPS)	Obj (SNOPT)
`arki0002`	`0.3320`	`155.9220`	`0.002`	`1.87252774`	`1.09249984`
`arki0003`	`3606.7630`	`1.1860`	---	`0.00000000`	`mstat( 6) sstat(4)`
`arki0004`	`2.7390`	`0.4440`	`6.169`	`323.46703883`	`323.46703883`
`arki0008`	`NA`	`8.9820`	---	`mstat(13) sstat(13)`	`mstat( 5) sstat(1)`
`arki0011`	`93.2640`	`417.8620`	`0.223`	`-224086.45997864`	`-224086.46000828`
`arki0012`	`89.1190`	`3241.7210`	`0.027`	`-224252.27283280`	`-224252.44559875`
`arki0013`	`146.4110`	`1487.5470`	`0.098`	`-224253.08644157`	`-224253.08921843`
`arki0014`	`88.4720`	`3600.0370`	`0.025`	`-223976.64178451`	`-223972.99474775`
`arki0015`	`4.5130`	`3.7150`	`1.215`	`-266.94068809`	`-272.29977820`
`arki0016`	`16.7380`	`NA`	---	`867.97316601`	`mstat(13) sstat(13)`
`arki0017`	`1.4940`	`1715.7910`	`0.001`	`-121.83308011`	`-121.83308010`
`arki0018`	`0.6620`	`42.2100`	`0.016`	`0.01045662`	`0.01198069`
`arki0020`	`0.1470`	`25.4230`	`0.006`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4450`	`75.6490`	`0.006`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7380`	`103.7290`	`0.007`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.4360`	`82.4830`	`0.017`	`-153.66007775`	`-153.41732339`
`camshape400`	`1.4250`	`0.0960`	`14.844`	`-4.27569663`	`-4.27568692`
`camshape800`	`559.8860`	`0.4180`	`1339.440`	`-4.27430687`	`-4.27427301`
`catmix100`	`0.0840`	`0.1660`	`0.506`	`-0.04806941`	`-0.04806940`
`catmix200`	`0.0900`	`0.6780`	`0.133`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.1640`	`2.5770`	`0.064`	`-0.04805654`	`-0.04805655`
`catmix800`	`0.2790`	`10.9170`	`0.026`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0610`	`7.1580`	`0.009`	`5.06862169`	`5.06862169`
`elec200`	`19.5520`	`11.0000`	`1.777`	`18439.26774952`	`18438.99267601`
`ex8_2_2`	`NA`	`82.6420`	---	`mstat(13) sstat(13)`	`mstat( 6) sstat(4)`
`ex8_2_2a`	`3.7210`	`118.9230`	`0.031`	`-552.66625903`	`-552.66024730`
`ex8_2_2b`	`5.0930`	`6.6280`	`0.768`	`-552.66625998`	`-551.76977066`
`ex8_2_3a`	`7.3830`	`64.3650`	`0.115`	`-3731.07929678`	`-3731.07808948`
`ex8_2_3b`	`8.6350`	`22.1670`	`0.390`	`-3731.07929695`	`-3730.72924771`
`ex8_2_5a`	`2.2240`	`183.9390`	`0.012`	`-830.33806763`	`-830.33802819`
`ex8_2_5b`	`3.8270`	`6.7640`	`0.566`	`-830.33806763`	`-830.07940808`
`flowchan100`	`0.1070`	`0.3330`	`0.321`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2160`	`1.0650`	`0.203`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4320`	`3.3790`	`0.128`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4290`	`0.4980`	`0.861`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7050`	`1.4750`	`0.478`	`0.00523660`	`0.00523660`
`gasoil400`	`1.5490`	`7.0000`	`0.221`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1690`	`0.2010`	`0.841`	`0.00523664`	`0.00523664`
`glider100`	`2.0810`	`1618.6330`	---	`mstat( 5) sstat(1)`	`-1255.05860055`
`glider200`	`3672.8230`	`1.8010`	---	`mstat( 6) sstat(3)`	`mstat( 5) sstat(1)`
`glider400`	`8.5880`	`3599.9900`	---	`mstat( 5) sstat(1)`	`-252.52559804`
`glider50`	`0.7920`	`76.3770`	---	`mstat( 5) sstat(1)`	`-1286.97737315`
`infeas1 (max)`	`0.7390`	`0.0160`	---	`13685.59647017`	`mstat( 4) sstat(1)`
`jbearing100`	`0.7220`	`40.0780`	`0.018`	`-0.15504194`	`-0.15504196`
`jbearing25`	`0.1740`	`7.0120`	`0.025`	`-0.15401551`	`-0.15401554`
`jbearing50`	`0.3200`	`30.7210`	`0.010`	`-0.15482381`	`-0.15482422`
`jbearing75`	`0.5130`	`24.6340`	`0.021`	`-0.15498446`	`-0.15498453`
`lnts100`	`0.0900`	`0.3100`	`0.290`	`0.55459540`	`0.55459540`
`lnts200`	`0.1420`	`1.4820`	`0.096`	`0.55457702`	`0.55457702`
`lnts400`	`0.2830`	`6.4850`	`0.044`	`0.55457241`	`0.55457241`
`methanol100`	`0.4600`	`0.8190`	`0.562`	`0.00902229`	`0.00902229`
`methanol200`	`4.5890`	`2.5090`	`1.829`	`0.00902229`	`0.00902229`
`methanol400`	`5.3420`	`8.4200`	`0.634`	`0.00902229`	`0.00902229`
`methanol50`	`0.1660`	`1.2120`	`0.137`	`0.00902229`	`0.00902229`
`minsurf100`	`0.7840`	`307.3960`	`0.003`	`2.50694962`	`2.50694926`
`minsurf25`	`0.1680`	`5.7500`	`0.029`	`2.51948798`	`2.51948768`
`minsurf50`	`0.3480`	`67.6010`	`0.005`	`2.51489003`	`2.51488916`
`minsurf75`	`2.0900`	`155.1750`	`0.013`	`2.50568665`	`2.50568648`
`pinene100`	`0.4770`	`2.3520`	`0.203`	`19.87217015`	`19.87217014`
`pinene200`	`0.9780`	`10.7530`	`0.091`	`19.87216684`	`19.87216684`
`pinene25`	`0.2660`	`1.1890`	`0.224`	`19.87216552`	`19.87216552`
`pinene50`	`0.2630`	`1.0510`	`0.250`	`19.87216552`	`19.87216552`
`polygon100`	`1.5450`	`21.3800`	`0.072`	`-0.78505614`	`-0.78503127`
`polygon25`	`0.0910`	`0.0360`	`2.528`	`-0.77974054`	`-0.77973670`
`polygon50`	`1.1850`	`1.6020`	`0.740`	`-0.78213256`	`-0.78401305`
`polygon75`	`3.0070`	`5.3170`	`0.566`	`-0.78446376`	`-0.78478846`
`popdynm100`	`0.5200`	`1.9540`	`0.266`	`19746.52860214`	`19746.52860217`
`popdynm200`	`1.2240`	`6.1400`	`0.199`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.2880`	`0.3130`	`0.920`	`19752.21541508`	`19752.21541511`
`popdynm50`	`1.0060`	`1.0690`	`0.941`	`19746.54515625`	`19746.54515628`
`robot100`	`3606.1300`	`0.8920`	---	`mstat( 6) sstat(3)`	`9.14268538`
`robot200`	`0.8960`	`7.1720`	`0.125`	`9.14139688`	`9.14139550`
`robot400`	`2.7410`	`73.1190`	`0.037`	`9.14102607`	`9.14102603`
`robot50`	`3610.4260`	`0.1410`	`25605.858`	`0.00000000`	`9.14687850`
`rocket100`	`9.7010`	`0.7420`	`13.074`	`-1.01283202`	`-1.01283202`
`rocket200`	`78.3440`	`4.6100`	`16.994`	`-1.01283569`	`-1.01283569`
`rocket400`	`920.4500`	`40.4500`	`22.755`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.7580`	`19.8940`	`0.038`	`-0.41823920`	`-0.41823921`
`torsion25`	`0.1630`	`1.5050`	`0.108`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.3800`	`14.2930`	`0.027`	`-0.41808762`	`-0.41808763`
`torsion75`	`0.5740`	`12.4500`	`0.046`	`-0.41819939`	`-0.41819940`