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 KNITRO 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:	KNITRO-1.trc
Solvers used :	IPOPT-MUMPS
	KNITRO
Modeltype(s)	`NLP`

	KNITRO: optimal	KNITRO: locally optimal	KNITRO: feasible	KNITRO: infeasible	KNITRO: unbounded	KNITRO: fail	KNITRO: no data	total IPOPT-MUMPS
IPOPT-MUMPS: optimal	-	-	-	-	-	-	-	`-`
IPOPT-MUMPS: locally optimal	-	`67`	`1`	`1`	-	`3`	-	`72`
IPOPT-MUMPS: feasible	-	`1`	-	-	-	`1`	-	`2`
IPOPT-MUMPS: infeasible	-	`1`	-	`1`	-	`1`	-	`3`
IPOPT-MUMPS: unbounded	-	-	-	-	-	-	-	`-`
IPOPT-MUMPS: fail	-	`1`	`2`	`1`	-	-	-	`4`
IPOPT-MUMPS: no data	-	-	-	-	-	-	-	`-`
total KNITRO	`-`	`70`	`3`	`3`	`-`	`5`	`-`	`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 -- KNITRO: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Obj (IPOPT-MUMPS)	Obj (KNITRO)
`arki0002`	`0.3320`	`0.4550`	`0.730`	`1.87252774`	`1.87252774`
`arki0004`	`2.7390`	`0.2270`	`12.066`	`323.46703883`	`323.46703884`
`arki0015`	`4.5130`	`3.0810`	`1.465`	`-266.94068809`	`-263.62699897`
`arki0016`	`16.7380`	`3.7380`	`4.478`	`867.97316601`	`867.97316601`
`arki0017`	`1.4940`	`0.4400`	`3.395`	`-121.83308011`	`-121.83308004`
`arki0018`	`0.6620`	`0.8450`	`0.783`	`0.01045662`	`0.01045662`
`arki0020`	`0.1470`	`0.1060`	`1.387`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4450`	`0.2890`	`1.540`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7380`	`0.4560`	`1.618`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.4360`	`1.2170`	`1.180`	`-153.66007775`	`-153.66007775`
`camshape400`	`1.4250`	`0.2280`	`6.250`	`-4.27569663`	`-4.27568844`
`camshape800`	`559.8860`	`0.5100`	`1097.816`	`-4.27430687`	`-4.27427406`
`catmix100`	`0.0840`	`0.1000`	`0.840`	`-0.04806941`	`-0.04806942`
`catmix200`	`0.0900`	`0.1440`	`0.625`	`-0.04805914`	`-0.04805913`
`catmix400`	`0.1640`	`0.0940`	`1.745`	`-0.04805654`	`-0.04805653`
`catmix800`	`0.2790`	`0.2150`	`1.298`	`-0.04805590`	`-0.04805587`
`chain400`	`0.0610`	`0.9940`	`0.061`	`5.06862169`	`5.06862169`
`elec200`	`19.5520`	`10.4650`	`1.868`	`18439.26774952`	`18439.29863902`
`ex8_2_2a`	`3.7210`	`1.1780`	`3.159`	`-552.66625903`	`-552.66625615`
`ex8_2_2b`	`5.0930`	`1.4780`	`3.446`	`-552.66625998`	`-552.66625869`
`ex8_2_3a`	`7.3830`	`2.5510`	`2.894`	`-3731.07929678`	`-3731.07929545`
`ex8_2_3b`	`8.6350`	`2.9060`	`2.971`	`-3731.07929695`	`-3731.07929545`
`ex8_2_5a`	`2.2240`	`0.9030`	`2.463`	`-830.33806763`	`-830.33805402`
`ex8_2_5b`	`3.8270`	`1.2260`	`3.122`	`-830.33806763`	`-830.33806623`
`flowchan100`	`0.1070`	`0.0600`	`1.783`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2160`	`0.1160`	`1.862`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4320`	`0.2340`	`1.846`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4290`	`0.0990`	`4.333`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7050`	`0.1990`	`3.543`	`0.00523660`	`0.00523660`
`gasoil400`	`1.5490`	`0.4120`	`3.760`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1690`	`0.0530`	`3.189`	`0.00523664`	`0.00523664`
`infeas1`	`0.7390`	`0.2770`	`2.668`	`13685.59647017`	`13685.59646064`
`jbearing100`	`0.7220`	`0.5000`	`1.444`	`-0.15504194`	`-0.15504173`
`jbearing25`	`0.1740`	`0.1200`	`1.450`	`-0.15401551`	`-0.15401538`
`jbearing50`	`0.3200`	`0.2430`	`1.317`	`-0.15482381`	`-0.15482405`
`jbearing75`	`0.5130`	`0.3710`	`1.383`	`-0.15498446`	`-0.15498434`
`lnts100`	`0.0900`	`0.0300`	`3.000`	`0.55459540`	`0.55459540`
`lnts200`	`0.1420`	`0.0530`	`2.679`	`0.55457702`	`0.55457702`
`lnts400`	`0.2830`	`0.1270`	`2.228`	`0.55457241`	`0.55457241`
`methanol100`	`0.4600`	`0.1840`	`2.500`	`0.00902229`	`0.00902229`
`methanol200`	`4.5890`	`0.4270`	`10.747`	`0.00902229`	`0.00902229`
`methanol400`	`5.3420`	`1.1180`	`4.778`	`0.00902229`	`0.00902229`
`methanol50`	`0.1660`	`0.0900`	`1.844`	`0.00902229`	`0.00902229`
`minsurf100`	`0.7840`	`0.8020`	`0.978`	`2.50694962`	`2.50694937`
`minsurf25`	`0.1680`	`0.1280`	`1.313`	`2.51948798`	`2.51948776`
`minsurf50`	`0.3480`	`1.0390`	`0.335`	`2.51489003`	`2.51488927`
`minsurf75`	`2.0900`	`1.5330`	`1.363`	`2.50568665`	`2.50568659`
`pinene100`	`0.4770`	`0.2260`	`2.111`	`19.87217015`	`19.87217015`
`pinene200`	`0.9780`	`0.5150`	`1.899`	`19.87216684`	`19.87216684`
`pinene25`	`0.2660`	`0.1220`	`2.180`	`19.87216552`	`19.87216552`
`pinene50`	`0.2630`	`0.1220`	`2.156`	`19.87216552`	`19.87216552`
`polygon100`	`1.5450`	`2.0450`	`0.756`	`-0.78505614`	`-0.76681127`
`polygon25`	`0.0910`	`0.0410`	`2.220`	`-0.77974054`	`-0.77866123`
`polygon50`	`1.1850`	`1.5110`	`0.784`	`-0.78213256`	`-0.75755497`
`polygon75`	`3.0070`	`3.8940`	`0.772`	`-0.78446376`	`-0.77435383`
`popdynm100`	`0.5200`	`0.2320`	`2.241`	`19746.52860214`	`19746.52860217`
`popdynm200`	`1.2240`	`0.5410`	`2.262`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.2880`	`0.0790`	`3.646`	`19752.21541508`	`19752.21541511`
`popdynm50`	`1.0060`	`0.1270`	`7.921`	`19746.54515625`	`19746.54515628`
`robot400`	`2.7410`	`1.4650`	`1.871`	`9.14102607`	`9.14102651`
`rocket100`	`9.7010`	`2.1160`	`4.585`	`-1.01283202`	`-1.01283201`
`rocket200`	`78.3440`	`0.9550`	`82.036`	`-1.01283569`	`-1.01283566`
`rocket400`	`920.4500`	`22.3050`	`41.267`	`-1.01283661`	`-1.01283656`
`torsion100`	`0.7580`	`1.1140`	`0.680`	`-0.41823920`	`-0.41823906`
`torsion25`	`0.1630`	`0.1490`	`1.094`	`-0.41751073`	`-0.41751069`
`torsion50`	`0.3800`	`0.3360`	`1.131`	`-0.41808762`	`-0.41808756`
`torsion75`	`0.5740`	`0.6900`	`0.832`	`-0.41819939`	`-0.41819929`

IPOPT-MUMPS: locally optimal -- KNITRO: feasible

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Obj (IPOPT-MUMPS)	Obj (KNITRO)
`arki0011`	`93.2640`	`3600.0630`	`0.026`	`-224086.45997864`	`-224030.30400485`

IPOPT-MUMPS: locally optimal -- KNITRO: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Obj (IPOPT-MUMPS)	Status (KNITRO)
`robot200`	`0.8960`	`43.4290`	---	`9.14139688`	`mstat( 5)sstat( 1)`

IPOPT-MUMPS: locally optimal -- KNITRO: fail

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Obj (IPOPT-MUMPS)	Status (KNITRO)
`arki0012`	`89.1190`	`3600.1350`	---	`-224252.27283280`	`mstat( 6)sstat( 3)`
`arki0013`	`146.4110`	`3600.0690`	---	`-224253.08644157`	`mstat( 6)sstat( 3)`
`arki0014`	`88.4720`	`3600.0960`	---	`-223976.64178451`	`mstat( 6)sstat( 3)`

IPOPT-MUMPS: feasible -- KNITRO: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Obj (IPOPT-MUMPS)	Obj (KNITRO)
`robot50`	`3610.4260`	`0.1560`	`23143.756`	`0.00000000`	`9.14687852`

IPOPT-MUMPS: feasible -- KNITRO: fail

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Obj (IPOPT-MUMPS)	Status (KNITRO)
`arki0003`	`3606.7630`	`3600.0300`	---	`0.00000000`	`mstat( 6)sstat( 3)`

IPOPT-MUMPS: infeasible -- KNITRO: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Status (IPOPT-MUMPS)	Obj (KNITRO)
`glider100`	`2.0810`	`20.4410`	---	`mstat( 5)sstat( 1)`	`-1255.05860055`

IPOPT-MUMPS: infeasible -- KNITRO: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Status (IPOPT-MUMPS)	Status (KNITRO)
`glider50`	`0.7920`	`3332.9840`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

IPOPT-MUMPS: infeasible -- KNITRO: fail

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Status (IPOPT-MUMPS)	Status (KNITRO)
`glider400`	`8.5880`	`3600.0230`	---	`mstat( 5)sstat( 1)`	`mstat( 6)sstat( 3)`

IPOPT-MUMPS: fail -- KNITRO: locally optimal

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Status (IPOPT-MUMPS)	Obj (KNITRO)
`glider200`	`3672.8230`	`9.1170`	---	`mstat( 6)sstat( 3)`	`-249.99882310`

IPOPT-MUMPS: fail -- KNITRO: feasible

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Status (IPOPT-MUMPS)	Obj (KNITRO)
`ex8_2_2`	`NA`	`1375.4550`	---	`mstat(13)sstat(13)`	`-27671.65361246`
`robot100`	`3606.1300`	`13.8240`	---	`mstat( 6)sstat( 3)`	`-2.0836462971935E+16`

IPOPT-MUMPS: fail -- KNITRO: infeasible

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/KNITRO)	Status (IPOPT-MUMPS)	Status (KNITRO)
`arki0008`	`NA`	`128.8140`	---	`mstat(13)sstat(13)`	`mstat( 5)sstat( 1)`

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)`

KNITRO: locally optimal:

Modelname	Time (KNITRO)	Obj (KNITRO)
`arki0002`	`0.4550`	`1.87252774`
`arki0004`	`0.2270`	`323.46703884`
`arki0015`	`3.0810`	`-263.62699897`
`arki0016`	`3.7380`	`867.97316601`
`arki0017`	`0.4400`	`-121.83308004`
`arki0018`	`0.8450`	`0.01045662`
`arki0020`	`0.1060`	`-41.07495436`
`arki0021`	`0.2890`	`-72.58210091`
`arki0022`	`0.4560`	`-87.09909127`
`arki0023`	`1.2170`	`-153.66007775`
`camshape400`	`0.2280`	`-4.27568844`
`camshape800`	`0.5100`	`-4.27427406`
`catmix100`	`0.1000`	`-0.04806942`
`catmix200`	`0.1440`	`-0.04805913`
`catmix400`	`0.0940`	`-0.04805653`
`catmix800`	`0.2150`	`-0.04805587`
`chain400`	`0.9940`	`5.06862169`
`elec200`	`10.4650`	`18439.29863902`
`ex8_2_2a`	`1.1780`	`-552.66625615`
`ex8_2_2b`	`1.4780`	`-552.66625869`
`ex8_2_3a`	`2.5510`	`-3731.07929545`
`ex8_2_3b`	`2.9060`	`-3731.07929545`
`ex8_2_5a`	`0.9030`	`-830.33805402`
`ex8_2_5b`	`1.2260`	`-830.33806623`
`flowchan100`	`0.0600`	`0.00000000`
`flowchan200`	`0.1160`	`0.00000000`
`flowchan400`	`0.2340`	`0.00000000`
`gasoil100`	`0.0990`	`0.00523659`
`gasoil200`	`0.1990`	`0.00523660`
`gasoil400`	`0.4120`	`0.00523660`
`gasoil50`	`0.0530`	`0.00523664`
`glider100`	`20.4410`	`-1255.05860055`
`glider200`	`9.1170`	`-249.99882310`
`infeas1`	`0.2770`	`13685.59646064`
`jbearing100`	`0.5000`	`-0.15504173`
`jbearing25`	`0.1200`	`-0.15401538`
`jbearing50`	`0.2430`	`-0.15482405`
`jbearing75`	`0.3710`	`-0.15498434`
`lnts100`	`0.0300`	`0.55459540`
`lnts200`	`0.0530`	`0.55457702`
`lnts400`	`0.1270`	`0.55457241`
`methanol100`	`0.1840`	`0.00902229`
`methanol200`	`0.4270`	`0.00902229`
`methanol400`	`1.1180`	`0.00902229`
`methanol50`	`0.0900`	`0.00902229`
`minsurf100`	`0.8020`	`2.50694937`
`minsurf25`	`0.1280`	`2.51948776`
`minsurf50`	`1.0390`	`2.51488927`
`minsurf75`	`1.5330`	`2.50568659`
`pinene100`	`0.2260`	`19.87217015`
`pinene200`	`0.5150`	`19.87216684`
`pinene25`	`0.1220`	`19.87216552`
`pinene50`	`0.1220`	`19.87216552`
`polygon100`	`2.0450`	`-0.76681127`
`polygon25`	`0.0410`	`-0.77866123`
`polygon50`	`1.5110`	`-0.75755497`
`polygon75`	`3.8940`	`-0.77435383`
`popdynm100`	`0.2320`	`19746.52860217`
`popdynm200`	`0.5410`	`19746.52964660`
`popdynm25`	`0.0790`	`19752.21541511`
`popdynm50`	`0.1270`	`19746.54515628`
`robot400`	`1.4650`	`9.14102651`
`robot50`	`0.1560`	`9.14687852`
`rocket100`	`2.1160`	`-1.01283201`
`rocket200`	`0.9550`	`-1.01283566`
`rocket400`	`22.3050`	`-1.01283656`
`torsion100`	`1.1140`	`-0.41823906`
`torsion25`	`0.1490`	`-0.41751069`
`torsion50`	`0.3360`	`-0.41808756`
`torsion75`	`0.6900`	`-0.41819929`

KNITRO: feasible:

Modelname	Time (KNITRO)	Obj (KNITRO)
`arki0011`	`3600.0630`	`-224030.30400485`
`ex8_2_2`	`1375.4550`	`-27671.65361246`
`robot100`	`13.8240`	`-2.0836462971935E+16`

KNITRO: infeasible:

Modelname	Time (KNITRO)	Status (KNITRO)
`arki0008`	`--`	`mstat( 5)sstat( 1)`
`glider50`	`--`	`mstat( 5)sstat( 1)`
`robot200`	`--`	`mstat( 5)sstat( 1)`

KNITRO: fail:

Modelname	Time (KNITRO)	Status (KNITRO)
`arki0003`	`--`	`mstat( 6)sstat( 3)`
`arki0012`	`--`	`mstat( 6)sstat( 3)`
`arki0013`	`--`	`mstat( 6)sstat( 3)`
`arki0014`	`--`	`mstat( 6)sstat( 3)`
`glider400`	`--`	`mstat( 6)sstat( 3)`

IPOPT-MUMPS: all -- KNITRO: all

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

Modelname	Time (IPOPT-MUMPS)	Time (KNITRO)	Ratio (IPOPT-MUMPS/ KNITRO)	Obj (IPOPT-MUMPS)	Obj (KNITRO)
`arki0002`	`0.3320`	`0.4550`	`0.730`	`1.87252774`	`1.87252774`
`arki0003`	`3606.7630`	`3600.0300`	---	`0.00000000`	`mstat( 6) sstat(3)`
`arki0004`	`2.7390`	`0.2270`	`12.066`	`323.46703883`	`323.46703884`
`arki0008`	`NA`	`128.8140`	---	`mstat(13) sstat(13)`	`mstat( 5) sstat(1)`
`arki0011`	`93.2640`	`3600.0630`	`0.026`	`-224086.45997864`	`-224030.30400485`
`arki0012`	`89.1190`	`3600.1350`	---	`-224252.27283280`	`mstat( 6) sstat(3)`
`arki0013`	`146.4110`	`3600.0690`	---	`-224253.08644157`	`mstat( 6) sstat(3)`
`arki0014`	`88.4720`	`3600.0960`	---	`-223976.64178451`	`mstat( 6) sstat(3)`
`arki0015`	`4.5130`	`3.0810`	`1.465`	`-266.94068809`	`-263.62699897`
`arki0016`	`16.7380`	`3.7380`	`4.478`	`867.97316601`	`867.97316601`
`arki0017`	`1.4940`	`0.4400`	`3.395`	`-121.83308011`	`-121.83308004`
`arki0018`	`0.6620`	`0.8450`	`0.783`	`0.01045662`	`0.01045662`
`arki0020`	`0.1470`	`0.1060`	`1.387`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.4450`	`0.2890`	`1.540`	`-72.58210091`	`-72.58210091`
`arki0022`	`0.7380`	`0.4560`	`1.618`	`-87.09909127`	`-87.09909127`
`arki0023`	`1.4360`	`1.2170`	`1.180`	`-153.66007775`	`-153.66007775`
`camshape400`	`1.4250`	`0.2280`	`6.250`	`-4.27569663`	`-4.27568844`
`camshape800`	`559.8860`	`0.5100`	`1097.816`	`-4.27430687`	`-4.27427406`
`catmix100`	`0.0840`	`0.1000`	`0.840`	`-0.04806941`	`-0.04806942`
`catmix200`	`0.0900`	`0.1440`	`0.625`	`-0.04805914`	`-0.04805913`
`catmix400`	`0.1640`	`0.0940`	`1.745`	`-0.04805654`	`-0.04805653`
`catmix800`	`0.2790`	`0.2150`	`1.298`	`-0.04805590`	`-0.04805587`
`chain400`	`0.0610`	`0.9940`	`0.061`	`5.06862169`	`5.06862169`
`elec200`	`19.5520`	`10.4650`	`1.868`	`18439.26774952`	`18439.29863902`
`ex8_2_2`	`NA`	`1375.4550`	---	`mstat(13) sstat(13)`	`-27671.65361246`
`ex8_2_2a`	`3.7210`	`1.1780`	`3.159`	`-552.66625903`	`-552.66625615`
`ex8_2_2b`	`5.0930`	`1.4780`	`3.446`	`-552.66625998`	`-552.66625869`
`ex8_2_3a`	`7.3830`	`2.5510`	`2.894`	`-3731.07929678`	`-3731.07929545`
`ex8_2_3b`	`8.6350`	`2.9060`	`2.971`	`-3731.07929695`	`-3731.07929545`
`ex8_2_5a`	`2.2240`	`0.9030`	`2.463`	`-830.33806763`	`-830.33805402`
`ex8_2_5b`	`3.8270`	`1.2260`	`3.122`	`-830.33806763`	`-830.33806623`
`flowchan100`	`0.1070`	`0.0600`	`1.783`	`0.00000000`	`0.00000000`
`flowchan200`	`0.2160`	`0.1160`	`1.862`	`0.00000000`	`0.00000000`
`flowchan400`	`0.4320`	`0.2340`	`1.846`	`0.00000000`	`0.00000000`
`gasoil100`	`0.4290`	`0.0990`	`4.333`	`0.00523659`	`0.00523659`
`gasoil200`	`0.7050`	`0.1990`	`3.543`	`0.00523660`	`0.00523660`
`gasoil400`	`1.5490`	`0.4120`	`3.760`	`0.00523660`	`0.00523660`
`gasoil50`	`0.1690`	`0.0530`	`3.189`	`0.00523664`	`0.00523664`
`glider100`	`2.0810`	`20.4410`	---	`mstat( 5) sstat(1)`	`-1255.05860055`
`glider200`	`3672.8230`	`9.1170`	---	`mstat( 6) sstat(3)`	`-249.99882310`
`glider400`	`8.5880`	`3600.0230`	---	`mstat( 5) sstat(1)`	`mstat( 6) sstat(3)`
`glider50`	`0.7920`	`3332.9840`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`infeas1 (max)`	`0.7390`	`0.2770`	`2.668`	`13685.59647017`	`13685.59646064`
`jbearing100`	`0.7220`	`0.5000`	`1.444`	`-0.15504194`	`-0.15504173`
`jbearing25`	`0.1740`	`0.1200`	`1.450`	`-0.15401551`	`-0.15401538`
`jbearing50`	`0.3200`	`0.2430`	`1.317`	`-0.15482381`	`-0.15482405`
`jbearing75`	`0.5130`	`0.3710`	`1.383`	`-0.15498446`	`-0.15498434`
`lnts100`	`0.0900`	`0.0300`	`3.000`	`0.55459540`	`0.55459540`
`lnts200`	`0.1420`	`0.0530`	`2.679`	`0.55457702`	`0.55457702`
`lnts400`	`0.2830`	`0.1270`	`2.228`	`0.55457241`	`0.55457241`
`methanol100`	`0.4600`	`0.1840`	`2.500`	`0.00902229`	`0.00902229`
`methanol200`	`4.5890`	`0.4270`	`10.747`	`0.00902229`	`0.00902229`
`methanol400`	`5.3420`	`1.1180`	`4.778`	`0.00902229`	`0.00902229`
`methanol50`	`0.1660`	`0.0900`	`1.844`	`0.00902229`	`0.00902229`
`minsurf100`	`0.7840`	`0.8020`	`0.978`	`2.50694962`	`2.50694937`
`minsurf25`	`0.1680`	`0.1280`	`1.313`	`2.51948798`	`2.51948776`
`minsurf50`	`0.3480`	`1.0390`	`0.335`	`2.51489003`	`2.51488927`
`minsurf75`	`2.0900`	`1.5330`	`1.363`	`2.50568665`	`2.50568659`
`pinene100`	`0.4770`	`0.2260`	`2.111`	`19.87217015`	`19.87217015`
`pinene200`	`0.9780`	`0.5150`	`1.899`	`19.87216684`	`19.87216684`
`pinene25`	`0.2660`	`0.1220`	`2.180`	`19.87216552`	`19.87216552`
`pinene50`	`0.2630`	`0.1220`	`2.156`	`19.87216552`	`19.87216552`
`polygon100`	`1.5450`	`2.0450`	`0.756`	`-0.78505614`	`-0.76681127`
`polygon25`	`0.0910`	`0.0410`	`2.220`	`-0.77974054`	`-0.77866123`
`polygon50`	`1.1850`	`1.5110`	`0.784`	`-0.78213256`	`-0.75755497`
`polygon75`	`3.0070`	`3.8940`	`0.772`	`-0.78446376`	`-0.77435383`
`popdynm100`	`0.5200`	`0.2320`	`2.241`	`19746.52860214`	`19746.52860217`
`popdynm200`	`1.2240`	`0.5410`	`2.262`	`19746.52964658`	`19746.52964660`
`popdynm25`	`0.2880`	`0.0790`	`3.646`	`19752.21541508`	`19752.21541511`
`popdynm50`	`1.0060`	`0.1270`	`7.921`	`19746.54515625`	`19746.54515628`
`robot100`	`3606.1300`	`13.8240`	---	`mstat( 6) sstat(3)`	`-2.0836462971935E+16`
`robot200`	`0.8960`	`43.4290`	---	`9.14139688`	`mstat( 5) sstat(1)`
`robot400`	`2.7410`	`1.4650`	`1.871`	`9.14102607`	`9.14102651`
`robot50`	`3610.4260`	`0.1560`	`23143.756`	`0.00000000`	`9.14687852`
`rocket100`	`9.7010`	`2.1160`	`4.585`	`-1.01283202`	`-1.01283201`
`rocket200`	`78.3440`	`0.9550`	`82.036`	`-1.01283569`	`-1.01283566`
`rocket400`	`920.4500`	`22.3050`	`41.267`	`-1.01283661`	`-1.01283656`
`torsion100`	`0.7580`	`1.1140`	`0.680`	`-0.41823920`	`-0.41823906`
`torsion25`	`0.1630`	`0.1490`	`1.094`	`-0.41751073`	`-0.41751069`
`torsion50`	`0.3800`	`0.3360`	`1.131`	`-0.41808762`	`-0.41808756`
`torsion75`	`0.5740`	`0.6900`	`0.832`	`-0.41819939`	`-0.41819929`