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 COINIPOPTmumps 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-2.trc
Tracefile 2:	COINIPOPTD-1.trc
Solvers used :	COINIPOPTmumps
	COINIPOPTDma27
Modeltype(s)	`NLP`

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

COINIPOPTmumps: locally optimal -- COINIPOPTDma27: optimal

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/COINIPOPTDma27)	Obj (COINIPOPTmumps)	Obj (COINIPOPTDma27)
`arki0018`	`0.8500`	`0.2970`	`2.862`	`0.01045662`	`0.01045662`
`arki0020`	`0.1400`	`0.0580`	`2.414`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4300`	`0.1720`	`2.500`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7200`	`0.2960`	`2.432`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.5400`	`0.5750`	`2.678`	`-153.66007775`	`-153.66007775`
`jbearing100`	`0.7700`	`0.4000`	`1.925`	`-0.15504194`	`-0.15504194`
`jbearing25`	`0.2200`	`0.1070`	`2.056`	`-0.15401551`	`-0.15401551`
`jbearing50`	`0.3200`	`0.2010`	`1.592`	`-0.15482381`	`-0.15482381`
`jbearing75`	`0.5100`	`0.2780`	`1.835`	`-0.15498446`	`-0.15498446`
`minsurf100`	`0.8000`	`0.5260`	`1.521`	`2.50694962`	`2.50694962`
`minsurf25`	`0.2100`	`0.1450`	`1.448`	`2.51948798`	`2.51948798`
`minsurf50`	`0.3600`	`0.2360`	`1.525`	`2.51489003`	`2.51489003`
`minsurf75`	`2.2000`	`1.3620`	`1.615`	`2.50568692`	`2.50568661`

COINIPOPTmumps: locally optimal -- COINIPOPTDma27: locally optimal

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/COINIPOPTDma27)	Obj (COINIPOPTmumps)	Obj (COINIPOPTDma27)
`arki0002`	`0.3300`	`0.5130`	`0.643`	`1.87252774`	`1.87252774`
`arki0004`	`4.3800`	`2.4100`	`1.817`	`327.73301341`	`323.46703883`
`arki0011`	`91.8000`	`73.2350`	`1.253`	`-224086.45967511`	`-224086.46003464`
`arki0012`	`152.7300`	`56.1550`	`2.720`	`-224252.42586225`	`-224252.42629882`
`arki0013`	`130.1600`	`60.8560`	`2.139`	`-224253.08535820`	`-224253.08745620`
`arki0014`	`123.8300`	`50.4280`	`2.456`	`-223977.05565642`	`-223977.03530617`
`arki0015`	`5.8000`	`2.6520`	`2.187`	`-266.94068809`	`-266.94068809`
`arki0016`	`16.0000`	`11.9170`	`1.343`	`867.97316601`	`867.97316601`
`arki0017`	`1.5500`	`0.4020`	`3.856`	`-121.83308011`	`-121.83308011`
`camshape400`	`1.3000`	`0.1590`	`8.176`	`-4.27569663`	`-4.27569663`
`camshape800`	`150.8900`	`0.3430`	`439.913`	`-4.27430687`	`-4.27430687`
`catmix100`	`0.0700`	`0.0390`	`1.795`	`-0.04806941`	`-0.04806941`
`catmix200`	`0.0800`	`0.0450`	`1.778`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.1500`	`0.0840`	`1.786`	`-0.04805654`	`-0.04805654`
`catmix800`	`0.2600`	`0.1620`	`1.605`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0800`	`0.0160`	`5.000`	`5.06862169`	`5.06862169`
`elec200`	`56.2600`	`58.4470`	`0.963`	`18439.26774952`	`18439.26774952`
`ex8_2_2a`	`4.7400`	`2.5940`	`1.827`	`-552.66625903`	`-552.66625903`
`ex8_2_2b`	`6.4200`	`3.0450`	`2.108`	`-552.66625998`	`-552.66625998`
`ex8_2_3a`	`11.2400`	`7.1170`	`1.579`	`-3731.07929678`	`-3731.07929678`
`ex8_2_3b`	`13.3600`	`8.1910`	`1.631`	`-3731.07929695`	`-3731.07929695`
`ex8_2_5a`	`3.3900`	`2.3930`	`1.417`	`-830.33806763`	`-830.33806763`
`ex8_2_5b`	`10.0900`	`8.7250`	`1.156`	`-830.33806763`	`-830.33806763`
`flowchan100`	`0.1000`	`0.0450`	`2.222`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2000`	`0.0910`	`2.198`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4300`	`0.4490`	`0.958`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4400`	`0.2030`	`2.167`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7700`	`0.3470`	`2.219`	`0.00523660`	`0.00523660`
`gasoil400`	`1.7100`	`0.9890`	`1.729`	`0.00523660`	`0.00523660`
`gasoil50`	`0.2000`	`0.1190`	`1.681`	`0.00523664`	`0.00523664`
`infeas1`	`0.7200`	`0.3760`	`1.915`	`13685.59647018`	`13685.59647017`
`lnts100`	`0.1000`	`0.0280`	`3.571`	`0.55459540`	`0.55459540`
`lnts200`	`0.1600`	`0.0430`	`3.721`	`0.55457702`	`0.55457702`
`lnts400`	`0.2800`	`0.0830`	`3.373`	`0.55457241`	`0.55457241`
`methanol100`	`0.4900`	`0.2520`	`1.944`	`0.00902229`	`0.00902229`
`methanol200`	`5.7900`	`2.2430`	`2.581`	`0.01726075`	`0.00902229`
`methanol400`	`6.8200`	`4.5550`	`1.497`	`0.00902229`	`0.00902229`
`methanol50`	`0.2200`	`0.0810`	`2.716`	`0.00902229`	`0.00902229`
`pinene100`	`0.4700`	`0.1680`	`2.798`	`19.87217015`	`19.87217015`
`pinene200`	`0.9800`	`0.4250`	`2.306`	`19.87216684`	`19.87216684`
`pinene25`	`0.2600`	`0.0810`	`3.210`	`19.87216552`	`19.87216552`
`pinene50`	`0.2600`	`0.0810`	`3.210`	`19.87216552`	`19.87216552`
`polygon100`	`4.9100`	`3.7980`	`1.293`	`-0.78505614`	`-0.78505614`
`polygon25`	`0.1300`	`0.0350`	`3.714`	`-0.77974054`	`-0.77974054`
`polygon50`	`1.6600`	`0.6580`	`2.523`	`-0.78213256`	`-0.78213256`
`polygon75`	`5.5200`	`2.8940`	`1.907`	`-0.78446376`	`-0.78446376`
`popdynm100`	`0.5400`	`0.2590`	`2.085`	`19746.52860214`	`19746.52860214`
`popdynm200`	`1.3200`	`0.6550`	`2.015`	`19746.52964658`	`19746.52964658`
`popdynm25`	`0.2900`	`0.0990`	`2.929`	`19752.21541508`	`19752.21541508`
`popdynm50`	`0.9300`	`0.1490`	`6.242`	`19746.54515625`	`19746.54515625`
`robot200`	`0.8500`	`0.2740`	`3.102`	`9.14139688`	`9.14139686`
`robot400`	`2.6500`	`0.7520`	`3.524`	`9.14102607`	`9.14102607`
`rocket100`	`5.5200`	`1.8710`	`2.950`	`-1.01283202`	`-1.01283202`
`rocket200`	`32.9500`	`12.0200`	`2.741`	`-1.01283569`	`-1.01283569`
`rocket400`	`233.5700`	`118.6340`	`1.969`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.8400`	`0.5540`	`1.516`	`-0.41823920`	`-0.41823920`
`torsion25`	`0.1700`	`0.1320`	`1.288`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.4300`	`0.2660`	`1.617`	`-0.41808762`	`-0.41808762`
`torsion75`	`0.5900`	`0.4090`	`1.443`	`-0.41819939`	`-0.41819939`

COINIPOPTmumps: locally optimal -- COINIPOPTDma27: fail

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/COINIPOPTDma27)	Obj (COINIPOPTmumps)	Status (COINIPOPTDma27)
`glider200`	`1094.5800`	`3619.9990`	---	`-1248.80942633`	`mstat( 6)sstat( 3)`

COINIPOPTmumps: infeasible -- COINIPOPTDma27: infeasible

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/COINIPOPTDma27)	Status (COINIPOPTmumps)	Status (COINIPOPTDma27)
`glider100`	`2.1700`	`1.4750`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider400`	`8.3000`	`161.1040`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider50`	`0.8000`	`0.2920`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

COINIPOPTmumps: unbounded -- COINIPOPTDma27: fail

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/COINIPOPTDma27)	Status (COINIPOPTmumps)	Status (COINIPOPTDma27)
`robot50`	`10.3300`	`102.4360`	---	`mstat( 3)sstat( 1)`	`mstat( 6)sstat( 4)`

COINIPOPTmumps: fail -- COINIPOPTDma27: locally optimal

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/COINIPOPTDma27)	Status (COINIPOPTmumps)	Obj (COINIPOPTDma27)
`arki0003`	`3600.0100`	`1499.9250`	---	`mstat( 6)sstat( 3)`	`3795.19682438`

COINIPOPTmumps: fail -- COINIPOPTDma27: unbounded

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/COINIPOPTDma27)	Status (COINIPOPTmumps)	Status (COINIPOPTDma27)
`robot100`	`3600.1400`	`6.4560`	---	`mstat( 6)sstat( 3)`	`mstat( 3)sstat( 1)`

COINIPOPTmumps: fail -- COINIPOPTDma27: fail

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/COINIPOPTDma27)	Status (COINIPOPTmumps)	Status (COINIPOPTDma27)
`arki0008`	`741.6800`	`3627.7850`	---	`mstat( 6)sstat( 4)`	`mstat( 6)sstat( 3)`
`ex8_2_2`	`3668.4300`	`3634.5650`	---	`mstat( 6)sstat( 3)`	`mstat( 6)sstat( 3)`

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)`

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)`

COINIPOPTmumps: all -- COINIPOPTDma27: all

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

Modelname	Time (COINIPOPTmumps)	Time (COINIPOPTDma27)	Ratio (COINIPOPTmumps/ COINIPOPTDma27)	Obj (COINIPOPTmumps)	Obj (COINIPOPTDma27)
`arki0002`	`0.3300`	`0.5130`	`0.643`	`1.87252774`	`1.87252774`
`arki0003`	`3600.0100`	`1499.9250`	---	`mstat( 6) sstat(3)`	`3795.19682438`
`arki0004`	`4.3800`	`2.4100`	`1.817`	`327.73301341`	`323.46703883`
`arki0008`	`741.6800`	`3627.7850`	---	`mstat( 6) sstat(4)`	`mstat( 6) sstat(3)`
`arki0011`	`91.8000`	`73.2350`	`1.253`	`-224086.45967511`	`-224086.46003464`
`arki0012`	`152.7300`	`56.1550`	`2.720`	`-224252.42586225`	`-224252.42629882`
`arki0013`	`130.1600`	`60.8560`	`2.139`	`-224253.08535820`	`-224253.08745620`
`arki0014`	`123.8300`	`50.4280`	`2.456`	`-223977.05565642`	`-223977.03530617`
`arki0015`	`5.8000`	`2.6520`	`2.187`	`-266.94068809`	`-266.94068809`
`arki0016`	`16.0000`	`11.9170`	`1.343`	`867.97316601`	`867.97316601`
`arki0017`	`1.5500`	`0.4020`	`3.856`	`-121.83308011`	`-121.83308011`
`arki0018`	`0.8500`	`0.2970`	`2.862`	`0.01045662`	`0.01045662`
`arki0020`	`0.1400`	`0.0580`	`2.414`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4300`	`0.1720`	`2.500`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7200`	`0.2960`	`2.432`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.5400`	`0.5750`	`2.678`	`-153.66007775`	`-153.66007775`
`camshape400`	`1.3000`	`0.1590`	`8.176`	`-4.27569663`	`-4.27569663`
`camshape800`	`150.8900`	`0.3430`	`439.913`	`-4.27430687`	`-4.27430687`
`catmix100`	`0.0700`	`0.0390`	`1.795`	`-0.04806941`	`-0.04806941`
`catmix200`	`0.0800`	`0.0450`	`1.778`	`-0.04805914`	`-0.04805914`
`catmix400`	`0.1500`	`0.0840`	`1.786`	`-0.04805654`	`-0.04805654`
`catmix800`	`0.2600`	`0.1620`	`1.605`	`-0.04805590`	`-0.04805590`
`chain400`	`0.0800`	`0.0160`	`5.000`	`5.06862169`	`5.06862169`
`elec200`	`56.2600`	`58.4470`	`0.963`	`18439.26774952`	`18439.26774952`
`ex8_2_2`	`3668.4300`	`3634.5650`	---	`mstat( 6) sstat(3)`	`mstat( 6) sstat(3)`
`ex8_2_2a`	`4.7400`	`2.5940`	`1.827`	`-552.66625903`	`-552.66625903`
`ex8_2_2b`	`6.4200`	`3.0450`	`2.108`	`-552.66625998`	`-552.66625998`
`ex8_2_3a`	`11.2400`	`7.1170`	`1.579`	`-3731.07929678`	`-3731.07929678`
`ex8_2_3b`	`13.3600`	`8.1910`	`1.631`	`-3731.07929695`	`-3731.07929695`
`ex8_2_5a`	`3.3900`	`2.3930`	`1.417`	`-830.33806763`	`-830.33806763`
`ex8_2_5b`	`10.0900`	`8.7250`	`1.156`	`-830.33806763`	`-830.33806763`
`flowchan100`	`0.1000`	`0.0450`	`2.222`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2000`	`0.0910`	`2.198`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4300`	`0.4490`	`0.958`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4400`	`0.2030`	`2.167`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7700`	`0.3470`	`2.219`	`0.00523660`	`0.00523660`
`gasoil400`	`1.7100`	`0.9890`	`1.729`	`0.00523660`	`0.00523660`
`gasoil50`	`0.2000`	`0.1190`	`1.681`	`0.00523664`	`0.00523664`
`glider100`	`2.1700`	`1.4750`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider200`	`1094.5800`	`3619.9990`	---	`-1248.80942633`	`mstat( 6) sstat(3)`
`glider400`	`8.3000`	`161.1040`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider50`	`0.8000`	`0.2920`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`infeas1 (max)`	`0.7200`	`0.3760`	`1.915`	`13685.59647018`	`13685.59647017`
`jbearing100`	`0.7700`	`0.4000`	`1.925`	`-0.15504194`	`-0.15504194`
`jbearing25`	`0.2200`	`0.1070`	`2.056`	`-0.15401551`	`-0.15401551`
`jbearing50`	`0.3200`	`0.2010`	`1.592`	`-0.15482381`	`-0.15482381`
`jbearing75`	`0.5100`	`0.2780`	`1.835`	`-0.15498446`	`-0.15498446`
`lnts100`	`0.1000`	`0.0280`	`3.571`	`0.55459540`	`0.55459540`
`lnts200`	`0.1600`	`0.0430`	`3.721`	`0.55457702`	`0.55457702`
`lnts400`	`0.2800`	`0.0830`	`3.373`	`0.55457241`	`0.55457241`
`methanol100`	`0.4900`	`0.2520`	`1.944`	`0.00902229`	`0.00902229`
`methanol200`	`5.7900`	`2.2430`	`2.581`	`0.01726075`	`0.00902229`
`methanol400`	`6.8200`	`4.5550`	`1.497`	`0.00902229`	`0.00902229`
`methanol50`	`0.2200`	`0.0810`	`2.716`	`0.00902229`	`0.00902229`
`minsurf100`	`0.8000`	`0.5260`	`1.521`	`2.50694962`	`2.50694962`
`minsurf25`	`0.2100`	`0.1450`	`1.448`	`2.51948798`	`2.51948798`
`minsurf50`	`0.3600`	`0.2360`	`1.525`	`2.51489003`	`2.51489003`
`minsurf75`	`2.2000`	`1.3620`	`1.615`	`2.50568692`	`2.50568661`
`pinene100`	`0.4700`	`0.1680`	`2.798`	`19.87217015`	`19.87217015`
`pinene200`	`0.9800`	`0.4250`	`2.306`	`19.87216684`	`19.87216684`
`pinene25`	`0.2600`	`0.0810`	`3.210`	`19.87216552`	`19.87216552`
`pinene50`	`0.2600`	`0.0810`	`3.210`	`19.87216552`	`19.87216552`
`polygon100`	`4.9100`	`3.7980`	`1.293`	`-0.78505614`	`-0.78505614`
`polygon25`	`0.1300`	`0.0350`	`3.714`	`-0.77974054`	`-0.77974054`
`polygon50`	`1.6600`	`0.6580`	`2.523`	`-0.78213256`	`-0.78213256`
`polygon75`	`5.5200`	`2.8940`	`1.907`	`-0.78446376`	`-0.78446376`
`popdynm100`	`0.5400`	`0.2590`	`2.085`	`19746.52860214`	`19746.52860214`
`popdynm200`	`1.3200`	`0.6550`	`2.015`	`19746.52964658`	`19746.52964658`
`popdynm25`	`0.2900`	`0.0990`	`2.929`	`19752.21541508`	`19752.21541508`
`popdynm50`	`0.9300`	`0.1490`	`6.242`	`19746.54515625`	`19746.54515625`
`robot100`	`3600.1400`	`6.4560`	---	`mstat( 6) sstat(3)`	`mstat( 3) sstat(1)`
`robot200`	`0.8500`	`0.2740`	`3.102`	`9.14139688`	`9.14139686`
`robot400`	`2.6500`	`0.7520`	`3.524`	`9.14102607`	`9.14102607`
`robot50`	`10.3300`	`102.4360`	---	`mstat( 3) sstat(1)`	`mstat( 6) sstat(4)`
`rocket100`	`5.5200`	`1.8710`	`2.950`	`-1.01283202`	`-1.01283202`
`rocket200`	`32.9500`	`12.0200`	`2.741`	`-1.01283569`	`-1.01283569`
`rocket400`	`233.5700`	`118.6340`	`1.969`	`-1.01283661`	`-1.01283661`
`torsion100`	`0.8400`	`0.5540`	`1.516`	`-0.41823920`	`-0.41823920`
`torsion25`	`0.1700`	`0.1320`	`1.288`	`-0.41751073`	`-0.41751073`
`torsion50`	`0.4300`	`0.2660`	`1.617`	`-0.41808762`	`-0.41808762`
`torsion75`	`0.5900`	`0.4090`	`1.443`	`-0.41819939`	`-0.41819939`