Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 06/13/04 21:30:47

Solver comparison utility.

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 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.

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

	optimal	locally optimal	feasible	infeasible	unbounded	fail	no data	total IPOPT
optimal	-	-	-	-	-	-	-	`-`
locally optimal	`1`	`260`	`7`	`6`	-	`3`	-	`277`
feasible	-	`5`	-	`2`	-	-	-	`7`
infeasible	-	`1`	`1`	`1`	-	-	-	`3`
unbounded	-	-	-	-	-	-	-	`-`
fail	-	`1`	`1`	-	-	-	-	`2`
no data	-	`1`	-	-	-	-	-	`1`
total SNOPT	`1`	`268`	`9`	`9`	`-`	`3`	`-`	`290`

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: locally optimal -- SNOPT: optimal Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Obj (IPOPT)	Obj (SNOPT)
`qp5`	`0.0400`	`0.0100`	`---`	`0.43145425`	`0.43145590`

IPOPT: locally optimal -- SNOPT: locally optimal Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Obj (IPOPT)	Obj (SNOPT)
`abel`	`0.0000`	`0.0000`	`---`	`225.19458319`	`225.19458319`
`alkyl`	`0.0000`	`0.0000`	`---`	`-1.76500017`	`-1.76499992`
`bayes2_10`	`0.0900`	`0.1200`	`0.750`	`0.01837507`	`131.15667703`
`bayes2_20`	`0.0800`	`0.0100`	`8.000`	`1.22194450`	`349.68467552`
`bayes2_30`	`0.1100`	`0.0600`	`1.833`	`0.25120052`	`0.25133100`
`bayes2_50`	`0.1600`	`0.0400`	`4.000`	`51.12993258`	`62.41225389`
`bearing`	`0.0100`	`0.0100`	`---`	`1.95173319`	`1.95170659`
`btest14`	`0.2300`	`0.0300`	`7.667`	`-6.40092748`	`31.97751380`
`camcge`	`0.0200`	`0.0200`	`---`	`-191.73462424`	`-191.73462424`
`camshape100`	`0.0700`	`0.0300`	`2.333`	`-4.28419955`	`-4.28408877`
`chain100`	`0.0100`	`1.1300`	`0.009`	`5.06978461`	`5.06978462`
`chain25`	`0.0000`	`0.3200`	`0.000`	`5.07226149`	`5.07226150`
`chain50`	`0.0100`	`0.3100`	`0.032`	`5.07226149`	`5.07226150`
`chakra`	`0.0000`	`0.0100`	`---`	`-179.13355786`	`-179.13355785`
`chance`	`0.0000`	`0.0000`	`---`	`29.89437805`	`29.89437816`
`chem`	`0.0100`	`0.0000`	`---`	`-47.70651483`	`-47.70651483`
`chenery`	`0.0100`	`0.0300`	`---`	`-1058.91985598`	`-1058.91994457`
`circle`	`0.0000`	`0.0100`	`---`	`4.57424779`	`4.57433040`
`demo7`	`0.0300`	`0.0100`	`---`	`-1589042.39070084`	`-1589042.38619808`
`dispatch`	`0.0000`	`0.0000`	`---`	`3155.28789942`	`3155.28781031`
`elec100`	`29.2000`	`3.4800`	`8.391`	`4448.41042065`	`4448.41042065`
`elec25`	`0.3100`	`0.2400`	`1.292`	`243.81276030`	`243.81276027`
`elec50`	`3.1900`	`0.4300`	`7.419`	`1055.18231472`	`1055.18231473`
`etamac`	`0.0200`	`0.0300`	`---`	`-15.29467564`	`-15.29467564`
`ex14_1_1`	`0.0100`	`0.0000`	`---`	`-0.00000013`	`0.00000000`
`ex14_1_2`	`0.0100`	`0.0100`	`---`	`0.00000001`	`0.00000000`
`ex14_1_3`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_1_4`	`0.0000`	`0.0100`	`---`	`-0.00000001`	`0.00000000`
`ex14_1_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_1_6`	`0.6400`	`0.0000`	`+INF.000`	`0.99999999`	`1.00000000`
`ex14_1_7`	`0.0200`	`0.0000`	`---`	`0.13498908`	`7.04274947`
`ex14_1_8`	`0.0000`	`0.0100`	`---`	`0.04141588`	`0.04141589`
`ex14_1_9`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_1`	`0.0000`	`0.0100`	`---`	`-0.00000001`	`0.00000000`
`ex14_2_2`	`0.0000`	`0.0000`	`---`	`-0.00000001`	`0.00000000`
`ex14_2_3`	`0.0000`	`0.0000`	`---`	`-0.00000001`	`0.00000000`
`ex14_2_4`	`0.0000`	`0.0000`	`---`	`-0.00000001`	`0.00000000`
`ex14_2_5`	`0.0000`	`0.0000`	`---`	`-0.00000001`	`0.00000000`
`ex14_2_6`	`0.0100`	`0.0000`	`---`	`-0.00000001`	`0.00000000`
`ex14_2_7`	`0.0100`	`0.0000`	`---`	`-0.00000001`	`0.00000000`
`ex14_2_8`	`0.0100`	`0.0000`	`---`	`-0.00000001`	`0.00000000`
`ex14_2_9`	`0.0000`	`0.0100`	`---`	`-0.00000001`	`0.00000000`
`ex2_1_1`	`0.0000`	`0.0000`	`---`	`-17.00000258`	`-17.00000000`
`ex2_1_10`	`0.0200`	`0.0000`	`---`	`49318.01003386`	`49318.01795841`
`ex2_1_2`	`0.0000`	`0.0100`	`---`	`-213.00000399`	`-213.00000000`
`ex2_1_3`	`0.0100`	`0.0000`	`---`	`-15.00000032`	`-15.00000000`
`ex2_1_4`	`0.0100`	`0.0000`	`---`	`-11.00000020`	`-11.00000000`
`ex2_1_5`	`0.0000`	`0.0000`	`---`	`-268.01463861`	`-268.01463154`
`ex2_1_6`	`0.0000`	`0.0000`	`---`	`-39.00000523`	`-39.00000000`
`ex2_1_7`	`0.0000`	`0.0000`	`---`	`-4150.41025805`	`-4150.41013393`
`ex2_1_8`	`0.0000`	`0.0100`	`---`	`26352.97552690`	`25287.00000000`
`ex2_1_9`	`0.0000`	`0.0000`	`---`	`-0.37500001`	`-0.37500000`
`ex3_1_1`	`0.0000`	`0.0000`	`---`	`7049.24776563`	`7049.24803291`
`ex3_1_2`	`0.0000`	`0.0000`	`---`	`-30665.53886320`	`-30665.53867179`
`ex3_1_3`	`0.0000`	`0.0000`	`---`	`-310.00000955`	`-310.00000000`
`ex3_1_4`	`0.0000`	`0.0000`	`---`	`-4.00000016`	`-4.00000000`
`ex4_1_1`	`0.0000`	`0.0000`	`---`	`-0.51997806`	`-0.51997806`
`ex4_1_2`	`0.0000`	`0.0000`	`---`	`-663.50009661`	`-663.50009661`
`ex4_1_3`	`0.0000`	`0.0000`	`---`	`-443.67170474`	`-443.67170474`
`ex4_1_4`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex4_1_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex4_1_7`	`0.0000`	`0.0000`	`---`	`-7.50000000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`0.0000`	`---`	`-16.73889318`	`-16.73889318`
`ex4_1_9`	`0.0000`	`0.0000`	`---`	`-5.50801353`	`-5.50801327`
`ex5_2_2_case1`	`0.0100`	`0.0000`	`---`	`-400.00000413`	`0.00000000`
`ex5_2_2_case2`	`0.0100`	`0.0100`	`---`	`-400.00000413`	`0.00000000`
`ex5_2_2_case3`	`0.0100`	`0.0000`	`---`	`-750.00000755`	`0.00000000`
`ex5_2_4`	`0.0000`	`0.0000`	`---`	`-450.00000661`	`-100.00000000`
`ex5_2_5`	`0.2100`	`0.0000`	`+INF.000`	`-3500.00004875`	`-1900.00000000`
`ex5_4_2`	`0.0000`	`0.0000`	`---`	`7512.22988660`	`7512.23013862`
`ex5_4_4`	`0.0300`	`0.0100`	`---`	`11841.60915531`	`12138.44802703`
`ex6_1_1`	`0.0000`	`0.0000`	`---`	`-0.01757754`	`-0.02019829`
`ex6_1_2`	`0.0000`	`0.0000`	`---`	`0.00000246`	`-0.03246375`
`ex6_1_3`	`0.0000`	`0.0000`	`---`	`-0.32434879`	`-0.35249780`
`ex6_1_4`	`0.0000`	`0.0000`	`---`	`-0.29454129`	`-0.29454129`
`ex6_2_11`	`0.0000`	`0.0000`	`---`	`-0.00000267`	`-0.00000267`
`ex6_2_12`	`0.0100`	`0.0000`	`---`	`0.28919475`	`0.28919475`
`ex6_2_13`	`0.0000`	`0.0000`	`---`	`-0.21620944`	`-0.21620944`
`ex6_2_14`	`0.0000`	`0.0000`	`---`	`-0.69535818`	`-0.69535793`
`ex6_2_5`	`0.0100`	`0.0100`	`---`	`-70.75207783`	`-70.75207783`
`ex6_2_6`	`0.0000`	`0.0000`	`---`	`0.00000071`	`0.00000071`
`ex6_2_7`	`0.0000`	`0.0000`	`---`	`-0.16084762`	`-0.16084762`
`ex6_2_8`	`0.0000`	`0.0000`	`---`	`-0.02700635`	`-0.02700635`
`ex6_2_9`	`0.0100`	`0.0000`	`---`	`-0.03406618`	`-0.03406618`
`ex7_2_1`	`0.0200`	`0.0600`	`0.333`	`1227.22543675`	`1227.20238324`
`ex7_2_2`	`0.0000`	`0.0100`	`---`	`-0.38881144`	`-0.38881143`
`ex7_2_3`	`0.0000`	`0.0000`	`---`	`7049.24764753`	`7049.21674759`
`ex7_2_4`	`0.0100`	`0.0100`	`---`	`3.91801014`	`4.20285304`
`ex7_3_1`	`0.0100`	`0.0300`	`---`	`0.34173955`	`0.34173955`
`ex7_3_2`	`0.0000`	`0.0000`	`---`	`1.08986392`	`1.08986397`
`ex7_3_3`	`0.0000`	`0.0000`	`---`	`1.14477975`	`1.14477980`
`ex7_3_4`	`0.0200`	`0.0000`	`---`	`9.99999990`	`10.00000000`
`ex7_3_5`	`0.0100`	`0.0100`	`---`	`1.20689648`	`1.20689655`
`ex8_1_1`	`0.0000`	`0.0000`	`---`	`-2.02180680`	`-2.02180678`
`ex8_1_2`	`0.0000`	`0.0000`	`---`	`-0.79697989`	`2.80345848`
`ex8_1_3`	`0.0000`	`0.0000`	`---`	`30.00000000`	`30.00000000`
`ex8_1_4`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex8_1_6`	`0.0000`	`0.0000`	`---`	`-5.06543974`	`-5.06543974`
`ex8_1_7`	`0.0100`	`0.0000`	`---`	`0.02931083`	`64.87399184`
`ex8_1_8`	`0.0000`	`0.0000`	`---`	`-0.38881144`	`-0.38881143`
`ex8_3_1`	`0.7900`	`0.4500`	`1.756`	`-0.81959025`	`-0.80493682`
`ex8_3_11`	`0.7400`	`0.4800`	`1.542`	`-0.79957186`	`-0.76426037`
`ex8_3_12`	`1.2400`	`0.0100`	`124.000`	`-0.99059464`	`0.00000000`
`ex8_3_13`	`0.6000`	`0.0100`	`60.000`	`-36.08469878`	`0.00000000`
`ex8_3_2`	`0.0800`	`0.1000`	`0.800`	`-0.33132667`	`-0.41233018`
`ex8_3_3`	`0.0900`	`0.1100`	`0.818`	`-0.33303464`	`-0.41660308`
`ex8_3_4`	`1.3700`	`0.1900`	`7.211`	`-3.57998232`	`-3.57998238`
`ex8_3_5`	`0.3900`	`0.1000`	`3.900`	`-0.06911965`	`-0.06911967`
`ex8_3_6`	`0.2000`	`0.2400`	`0.833`	`-0.50000000`	`-0.50000001`
`ex8_3_7`	`4.0200`	`0.1000`	`40.200`	`-1.23261913`	`-1.12360839`
`ex8_3_8`	`0.4300`	`3.3900`	`0.127`	`-3.25611903`	`-3.23574263`
`ex8_3_9`	`0.0100`	`0.0900`	`0.111`	`-0.74161985`	`-0.76159633`
`ex8_4_1`	`0.0000`	`0.0000`	`---`	`0.61857276`	`0.61857276`
`ex8_4_2`	`0.0100`	`0.0000`	`---`	`0.48515249`	`0.48515249`
`ex8_4_3`	`0.0000`	`0.0200`	`---`	`0.00464972`	`0.00464972`
`ex8_4_4`	`0.0000`	`0.0000`	`---`	`0.21245984`	`0.21245984`
`ex8_4_7`	`0.0000`	`0.0500`	`0.000`	`29.04730672`	`29.04730832`
`ex8_5_5`	`0.0000`	`0.0000`	`---`	`0.00000066`	`0.00000066`
`ex8_6_1`	`0.2400`	`0.0500`	`4.800`	`-26.19961007`	`-27.21393544`
`ex8_6_2`	`0.0900`	`0.0300`	`3.000`	`-31.88862963`	`-31.88862963`
`ex9_1_10`	`0.0200`	`0.0000`	`---`	`-3.24999449`	`-3.25000000`
`ex9_1_2`	`0.0100`	`0.0000`	`---`	`-16.00000000`	`-16.00000000`
`ex9_1_4`	`0.0000`	`0.0000`	`---`	`-37.00000000`	`-37.00000000`
`ex9_1_5`	`0.0100`	`0.0000`	`---`	`-1.00000009`	`-1.00000000`
`ex9_1_8`	`0.0200`	`0.0000`	`---`	`-3.24999449`	`-3.25000000`
`ex9_2_1`	`0.0000`	`0.0000`	`---`	`25.00000000`	`17.00000000`
`ex9_2_2`	`0.0100`	`0.0000`	`---`	`99.99999990`	`99.98610298`
`ex9_2_3`	`0.0100`	`0.0000`	`---`	`4.99999979`	`4.99999999`
`ex9_2_4`	`0.0000`	`0.0100`	`---`	`0.50000000`	`0.50000000`
`ex9_2_5`	`0.0100`	`0.0000`	`---`	`9.80000000`	`5.00000000`
`ex9_2_6`	`0.0200`	`0.0100`	`---`	`-1.00000001`	`-1.00000000`
`ex9_2_7`	`0.0000`	`0.0000`	`---`	`25.00000000`	`17.00000000`
`gtm`	`0.0100`	`0.0000`	`---`	`543.56509392`	`543.56509479`
`harker`	`0.0000`	`0.0000`	`---`	`-986.51348430`	`-986.51348399`
`haverly`	`0.0000`	`0.0000`	`---`	`-400.00000413`	`-400.00000000`
`hhfair`	`0.0000`	`0.0200`	`---`	`-87.15903761`	`-87.15903764`
`himmel11`	`0.0000`	`0.0000`	`---`	`-30665.53935621`	`-30665.53740549`
`himmel16`	`0.0100`	`0.0000`	`---`	`-0.67498143`	`-0.67498144`
`house`	`0.0000`	`0.0100`	`---`	`-4500.00004533`	`-4500.00011362`
`hydro`	`0.0100`	`0.0100`	`---`	`4366944.08060965`	`4366944.15964529`
`immun`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`korcge`	`0.0100`	`0.0100`	`---`	`-339.21302800`	`-339.21302779`
`launch`	`0.0200`	`0.0000`	`---`	`2257.79733035`	`2257.79755763`
`least`	`0.0000`	`0.0000`	`---`	`14085.13984893`	`14085.13984893`
`like`	`0.0000`	`0.0200`	`---`	`1138.41056442`	`1138.41056442`
`lnts50`	`0.0500`	`0.2200`	`0.227`	`0.55466876`	`0.55466877`
`meanvar`	`0.0100`	`0.0100`	`---`	`5.24339902`	`5.24339907`
`mhw4d`	`0.0100`	`0.0000`	`---`	`27.87190522`	`27.87190522`
`minlphi`	`0.0500`	`0.0000`	`+INF.000`	`582.23613895`	`582.23614204`
`otpop`	`0.0200`	`0.0800`	`0.250`	`0.00000000`	`0.00000000`
`pindyck`	`0.0100`	`0.0300`	`---`	`-1170.48628544`	`-1170.48545536`
`pollut`	`0.0100`	`0.0000`	`---`	`-5353268.68596985`	`-5353268.62874738`
`process`	`0.0100`	`0.0000`	`---`	`-1161.33661397`	`-1161.33660357`
`prolog`	`0.0500`	`0.0000`	`+INF.000`	`0.00000016`	`1.06218530`
`qp1`	`0.0500`	`0.0400`	`1.250`	`0.00080940`	`0.00080932`
`qp2`	`0.0400`	`0.0200`	`---`	`0.00080940`	`0.00080932`
`qp3`	`0.0700`	`0.0100`	`7.000`	`0.00080940`	`0.00080932`
`qp4`	`0.0300`	`0.0000`	`---`	`0.00080940`	`0.00080932`
`ramsey`	`0.0000`	`0.0100`	`---`	`-2.48746873`	`-2.48746864`
`rbrock`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`sambal`	`0.0000`	`0.0100`	`---`	`3.96822036`	`3.96822036`
`sample`	`0.0100`	`0.0000`	`---`	`726.67886620`	`721.91096343`
`ship`	`0.0100`	`0.0100`	`---`	`5.54091468`	`5.54091471`
`srcpm`	`0.0200`	`0.0100`	`---`	`2109.78182578`	`2109.78183275`
`st_bpaf1a`	`0.0100`	`0.0000`	`---`	`-45.37971103`	`-45.37971014`
`st_bpaf1b`	`0.0000`	`0.0100`	`---`	`-42.96255853`	`-42.96255760`
`st_bpk1`	`0.0000`	`0.0000`	`---`	`-13.00000033`	`-10.00000000`
`st_bpk2`	`0.0000`	`0.0000`	`---`	`-13.00000033`	`-10.00000000`
`st_bpv1`	`0.0000`	`0.0100`	`---`	`9.99999772`	`10.00000000`
`st_bpv2`	`0.0000`	`0.0000`	`---`	`-8.00000025`	`0.00000000`
`st_bsj2`	`0.0000`	`0.0000`	`---`	`0.99999998`	`1.00000000`
`st_bsj3`	`0.0000`	`0.0000`	`---`	`-34843.05069165`	`-34843.05000000`
`st_bsj4`	`0.0100`	`0.0000`	`---`	`-44347.05088467`	`-55379.66110775`
`st_cqpf`	`0.0100`	`0.0000`	`---`	`-2.75000022`	`-2.75000000`
`st_cqpjk1`	`0.0000`	`0.0000`	`---`	`-12.44444237`	`-12.44444222`
`st_cqpjk2`	`0.0000`	`0.0000`	`---`	`-12.50000000`	`-12.50000000`
`st_e01`	`0.0000`	`0.0000`	`---`	`-6.66666672`	`-4.00000001`
`st_e03`	`0.0000`	`0.0100`	`---`	`-1161.33661398`	`-1161.33660236`
`st_e05`	`0.0000`	`0.0100`	`---`	`7049.24927248`	`7049.24927240`
`st_e06`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_e07`	`0.0000`	`0.0000`	`---`	`-400.00000413`	`-400.00000000`
`st_e09`	`0.0000`	`0.0000`	`---`	`-0.50000000`	`0.00000000`
`st_e10`	`0.0100`	`0.0000`	`---`	`-16.73889318`	`-16.73889318`
`st_e12`	`0.0000`	`0.0000`	`---`	`-4.51420175`	`0.00000000`
`st_e17`	`0.0000`	`0.0000`	`---`	`376.29192857`	`376.29193221`
`st_e19`	`0.0000`	`0.0000`	`---`	`-86.42220685`	`11.00000000`
`st_e20`	`0.0000`	`0.0100`	`---`	`-0.38881144`	`-0.38881143`
`st_e21`	`0.0100`	`0.0000`	`---`	`-13.40190374`	`0.00000000`
`st_e22`	`0.0000`	`0.0100`	`---`	`-68.00000135`	`-85.00000000`
`st_e23`	`0.0000`	`0.0000`	`---`	`-1.08333334`	`-1.00000000`
`st_e24`	`0.0000`	`0.0000`	`---`	`2.99999989`	`4.00000000`
`st_e25`	`0.0000`	`0.0000`	`---`	`0.89019356`	`0.89019359`
`st_e26`	`0.0100`	`0.0000`	`---`	`-185.77920359`	`-185.77920000`
`st_e28`	`0.0000`	`0.0000`	`---`	`-30665.53935621`	`-30665.53740549`
`st_e33`	`0.0100`	`0.0000`	`---`	`-400.00000906`	`-400.00000000`
`st_e34`	`0.0100`	`0.0000`	`---`	`0.01561773`	`0.01561953`
`st_e37`	`0.0000`	`0.0000`	`---`	`0.00104172`	`0.01583938`
`st_e39`	`0.0000`	`0.0000`	`---`	`-5.06543974`	`-5.06543974`
`st_e41`	`0.0000`	`0.0100`	`---`	`641.82355512`	`641.82307603`
`st_e42`	`0.0000`	`0.0000`	`---`	`18.78419922`	`18.78420000`
`st_fp1`	`0.0000`	`0.0000`	`---`	`-0.00000224`	`0.00000000`
`st_fp2`	`0.0000`	`0.0000`	`---`	`-213.00000399`	`-213.00000000`
`st_fp3`	`0.0000`	`0.0000`	`---`	`-10.10937515`	`-10.10937500`
`st_fp4`	`0.0000`	`0.0000`	`---`	`-11.00000020`	`-11.00000000`
`st_fp5`	`0.0100`	`0.0000`	`---`	`-268.01463861`	`-268.01463154`
`st_fp6`	`0.0000`	`0.0000`	`---`	`-29.00000504`	`-21.12500000`
`st_fp7a`	`0.0000`	`0.0100`	`---`	`1.47958604`	`1.47958635`
`st_fp7b`	`0.0200`	`0.0000`	`---`	`-371.75659582`	`-488.71157911`
`st_fp7c`	`0.0300`	`0.0000`	`---`	`-5112.37715133`	`-5774.23158221`
`st_fp7d`	`0.0000`	`0.0000`	`---`	`6.55405301`	`6.55405444`
`st_fp7e`	`0.0000`	`0.0000`	`---`	`12.75070606`	`12.75070976`
`st_fp8`	`0.0300`	`0.0000`	`---`	`15638.99948308`	`20560.00000000`
`st_glmp_fp1`	`0.0100`	`0.0000`	`---`	`19.99999994`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`0.0000`	`---`	`7.34454509`	`7.62750000`
`st_glmp_fp3`	`0.0000`	`0.0000`	`---`	`-12.00000023`	`0.00000000`
`st_glmp_kk90`	`0.0000`	`0.0000`	`---`	`2.99999989`	`4.00000000`
`st_glmp_kk92`	`0.0000`	`0.0000`	`---`	`-12.00000023`	`0.00000000`
`st_glmp_kky`	`0.0100`	`0.0000`	`---`	`-2.50000038`	`1.50000000`
`st_glmp_ss1`	`0.0100`	`0.0000`	`---`	`-24.57142900`	`-24.57142857`
`st_glmp_ss2`	`0.0100`	`0.0100`	`---`	`8.24999988`	`8.25000000`
`st_ht`	`0.0100`	`0.0000`	`---`	`-0.00000003`	`0.00000000`
`st_iqpbk1`	`0.0000`	`0.0000`	`---`	`-621.48783693`	`-621.48782500`
`st_iqpbk2`	`0.0100`	`0.0000`	`---`	`-1195.22567341`	`-1195.22565000`
`st_jcbpaf2`	`0.0100`	`0.0000`	`---`	`-480.66171418`	`-480.66170799`
`st_jcbpafex`	`0.0000`	`0.0000`	`---`	`-1.08333334`	`-1.00000000`
`st_kr`	`0.0000`	`0.0000`	`---`	`-68.00000135`	`-85.00000000`
`st_m1`	`0.0000`	`0.0000`	`---`	`-461356.94671769`	`-461356.93887879`
`st_m2`	`0.0400`	`0.0100`	`---`	`-856648.86013461`	`-856648.81868507`
`st_pan1`	`0.0000`	`0.0000`	`---`	`-0.00000008`	`0.00000000`
`st_pan2`	`0.0000`	`0.0000`	`---`	`-0.00000224`	`0.00000000`
`st_ph1`	`0.0000`	`0.0000`	`---`	`-0.00000004`	`0.00000000`
`st_ph10`	`0.0000`	`0.0000`	`---`	`-10.50000023`	`-10.50000000`
`st_ph11`	`0.0000`	`0.0000`	`---`	`-0.00000002`	`0.00000000`
`st_ph12`	`0.0000`	`0.0100`	`---`	`-0.00000005`	`0.00000000`
`st_ph13`	`0.0000`	`0.0000`	`---`	`-0.00000002`	`0.00000000`
`st_ph14`	`0.0000`	`0.0000`	`---`	`-215.12500278`	`-215.12500000`
`st_ph15`	`0.0000`	`0.0000`	`---`	`-0.00000039`	`0.00000000`
`st_ph2`	`0.0000`	`0.0000`	`---`	`-0.00000019`	`0.00000000`
`st_ph20`	`0.0100`	`0.0000`	`---`	`-158.00000417`	`-158.00000000`
`st_ph3`	`0.0000`	`0.0000`	`---`	`-0.00000014`	`0.00000000`
`st_phex`	`0.0000`	`0.0000`	`---`	`-68.00000135`	`-85.00000000`
`st_qpc-m0`	`0.0100`	`0.0000`	`---`	`-0.00000005`	`0.00000000`
`st_qpc-m1`	`0.0100`	`0.0000`	`---`	`-473.77779443`	`-473.77777778`
`st_qpc-m3a`	`0.0100`	`0.0000`	`---`	`-0.00000097`	`0.00000000`
`st_qpc-m3b`	`0.0000`	`0.0000`	`---`	`-0.00000097`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.0000`	`---`	`-0.00000097`	`0.00000000`
`st_qpc-m4`	`0.0000`	`0.0000`	`---`	`-0.00000097`	`0.00000000`
`st_qpk1`	`0.0000`	`0.0000`	`---`	`-0.00000004`	`0.00000000`
`st_qpk2`	`0.0100`	`0.0100`	`---`	`-12.25000044`	`0.00000000`
`st_qpk3`	`0.0400`	`0.0000`	`---`	`-36.00000141`	`0.00000000`
`st_rv1`	`0.0000`	`0.0000`	`---`	`-59.90434591`	`-59.90434506`
`st_rv2`	`0.0100`	`0.0000`	`---`	`-62.56135685`	`-64.48069510`
`st_rv3`	`0.0100`	`0.0000`	`---`	`-35.76067104`	`-35.76067064`
`st_rv7`	`0.0100`	`0.0100`	`---`	`-138.18749895`	`-138.09249914`
`st_rv8`	`0.0200`	`0.0100`	`---`	`-126.86334562`	`-132.66162896`
`st_rv9`	`1.1300`	`0.0100`	`113.000`	`-117.74415714`	`-117.58869438`
`st_z`	`0.0000`	`0.0000`	`---`	`-0.00000003`	`0.00000000`
`wall`	`0.0000`	`0.0100`	`---`	`1.00000466`	`1.00000466`
`weapons`	`0.0100`	`0.0300`	`---`	`-1735.56958075`	`-1735.56957986`

IPOPT: locally optimal -- SNOPT: feasible Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Obj (IPOPT)	Obj (SNOPT)
`ex6_2_10`	`0.0000`	`0.0000`	`---`	`-3.05197613`	`-3.05197611`
`ex8_4_6`	`0.0100`	`0.0000`	`---`	`0.00110498`	`1.94679186`
`ex8_5_1`	`0.0000`	`0.0000`	`---`	`-0.00000041`	`-0.24781247`
`ex8_5_2`	`0.0100`	`0.0000`	`---`	`-0.00000001`	`-0.53039201`
`ex8_5_3`	`0.0000`	`0.0000`	`---`	`0.00004093`	`1.86891942`
`ex8_5_4`	`0.0000`	`0.0100`	`---`	`-0.00042515`	`0.33137926`
`ex8_5_6`	`0.0000`	`0.0000`	`---`	`0.00000099`	`0.40337355`

IPOPT: locally optimal -- SNOPT: infeasible Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Obj (IPOPT)	Status (SNOPT)
`ex5_3_2`	`0.0100`	`0.0000`	---	`1.86415947`	`mstat( 5) sstat( 1)`
`ex5_4_3`	`0.0100`	`0.0000`	---	`5937.43704146`	`mstat( 5) sstat( 1)`
`st_e08`	`0.0100`	`0.0000`	---	`1.09533535`	`mstat( 5) sstat( 1)`
`st_e16`	`0.0100`	`0.0000`	---	`12292.46726840`	`mstat( 5) sstat( 1)`
`st_e18`	`0.0000`	`0.0000`	---	`-2.82842714`	`mstat( 5) sstat( 1)`
`st_e30`	`0.0300`	`0.0000`	---	`-1.58113884`	`mstat( 5) sstat( 1)`

IPOPT: locally optimal -- SNOPT: fail Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Obj (IPOPT)	Status (SNOPT)
`ex8_3_14`	`0.9200`	`0.0300`	---	`-0.00160045`	`mstat( 6) sstat( 5)`
`ex8_4_5`	`0.0100`	`0.0100`	---	`0.00122530`	`mstat( 6) sstat( 4)`
`ex8_4_8`	`0.0500`	`0.0000`	---	`3.32184732`	`mstat( 6) sstat( 5)`

IPOPT: feasible -- SNOPT: locally optimal Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Obj (IPOPT)	Obj (SNOPT)
`ex4_1_6`	`0.0000`	`0.0000`	`---`	`7.00000000`	`7.00000000`
`ex8_3_10`	`5.5600`	`0.0500`	`111.200`	`-0.02155540`	`-0.03596508`
`ex9_1_1`	`0.5100`	`0.0100`	`51.000`	`-12.99999631`	`-13.00000000`
`st_e04`	`0.0100`	`0.0000`	`---`	`5194.86621936`	`5194.86624420`
`st_e11`	`0.0100`	`0.0000`	`---`	`189.31162972`	`189.31162969`

IPOPT: feasible -- SNOPT: infeasible Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Obj (IPOPT)	Status (SNOPT)
`ex5_3_3`	`0.2100`	`0.0000`	---	`4.35445217`	`mstat( 5) sstat( 1)`
`ex7_3_6`	`0.0600`	`0.0000`	---	`0.00000000`	`mstat( 5) sstat( 1)`

IPOPT: infeasible -- SNOPT: locally optimal Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Status (IPOPT)	Obj (SNOPT)
`st_robot`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`0.00000000`

IPOPT: infeasible -- SNOPT: feasible Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Status (IPOPT)	Obj (SNOPT)
`ex8_2_4`	`57.4300`	`0.3200`	---	`mstat( 5) sstat( 1)`	`-3436.56104883`

IPOPT: infeasible -- SNOPT: infeasible Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Status (IPOPT)	Status (SNOPT)
`st_e02`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`

IPOPT: fail -- SNOPT: locally optimal Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Status (IPOPT)	Obj (SNOPT)
`worst`	`0.0100`	`0.0000`	---	`mstat( 6) sstat( 1)`	`20762609.21087110`

IPOPT: fail -- SNOPT: feasible Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Status (IPOPT)	Obj (SNOPT)
`ex8_2_1`	`10.7600`	`0.0100`	---	`mstat( 6) sstat( 1)`	`-32.91232426`

IPOPT: no data -- SNOPT: locally optimal Back to top

Modelname	Time (IPOPT)	Time (SNOPT)	Ratio (IPOPT/SNOPT)	Status (IPOPT)	Obj (SNOPT)
`ex9_2_8`	`--`	`0.0000`	---	`---`	`1.50000000`

IPOPT: locally optimal: Back to top

Modelname	Time (IPOPT)	Obj (IPOPT)
`abel`	`0.0000`	`225.19458319`
`alkyl`	`0.0000`	`-1.76500017`
`bayes2_10`	`0.0900`	`0.01837507`
`bayes2_20`	`0.0800`	`1.22194450`
`bayes2_30`	`0.1100`	`0.25120052`
`bayes2_50`	`0.1600`	`51.12993258`
`bearing`	`0.0100`	`1.95173319`
`btest14`	`0.2300`	`-6.40092748`
`camcge`	`0.0200`	`-191.73462424`
`camshape100`	`0.0700`	`-4.28419955`
`chain100`	`0.0100`	`5.06978461`
`chain25`	`0.0000`	`5.07226149`
`chain50`	`0.0100`	`5.07226149`
`chakra`	`0.0000`	`-179.13355786`
`chance`	`0.0000`	`29.89437805`
`chem`	`0.0100`	`-47.70651483`
`chenery`	`0.0100`	`-1058.91985598`
`circle`	`0.0000`	`4.57424779`
`demo7`	`0.0300`	`-1589042.39070084`
`dispatch`	`0.0000`	`3155.28789942`
`elec100`	`29.2000`	`4448.41042065`
`elec25`	`0.3100`	`243.81276030`
`elec50`	`3.1900`	`1055.18231472`
`etamac`	`0.0200`	`-15.29467564`
`ex14_1_1`	`0.0100`	`-0.00000013`
`ex14_1_2`	`0.0100`	`0.00000001`
`ex14_1_3`	`0.0100`	`0.00000000`
`ex14_1_4`	`0.0000`	`-0.00000001`
`ex14_1_5`	`0.0000`	`0.00000000`
`ex14_1_6`	`0.6400`	`0.99999999`
`ex14_1_7`	`0.0200`	`0.13498908`
`ex14_1_8`	`0.0000`	`0.04141588`
`ex14_1_9`	`0.0000`	`0.00000000`
`ex14_2_1`	`0.0000`	`-0.00000001`
`ex14_2_2`	`0.0000`	`-0.00000001`
`ex14_2_3`	`0.0000`	`-0.00000001`
`ex14_2_4`	`0.0000`	`-0.00000001`
`ex14_2_5`	`0.0000`	`-0.00000001`
`ex14_2_6`	`0.0100`	`-0.00000001`
`ex14_2_7`	`0.0100`	`-0.00000001`
`ex14_2_8`	`0.0100`	`-0.00000001`
`ex14_2_9`	`0.0000`	`-0.00000001`
`ex2_1_1`	`0.0000`	`-17.00000258`
`ex2_1_10`	`0.0200`	`49318.01003386`
`ex2_1_2`	`0.0000`	`-213.00000399`
`ex2_1_3`	`0.0100`	`-15.00000032`
`ex2_1_4`	`0.0100`	`-11.00000020`
`ex2_1_5`	`0.0000`	`-268.01463861`
`ex2_1_6`	`0.0000`	`-39.00000523`
`ex2_1_7`	`0.0000`	`-4150.41025805`
`ex2_1_8`	`0.0000`	`26352.97552690`
`ex2_1_9`	`0.0000`	`-0.37500001`
`ex3_1_1`	`0.0000`	`7049.24776563`
`ex3_1_2`	`0.0000`	`-30665.53886320`
`ex3_1_3`	`0.0000`	`-310.00000955`
`ex3_1_4`	`0.0000`	`-4.00000016`
`ex4_1_1`	`0.0000`	`-0.51997806`
`ex4_1_2`	`0.0000`	`-663.50009661`
`ex4_1_3`	`0.0000`	`-443.67170474`
`ex4_1_4`	`0.0000`	`0.00000000`
`ex4_1_5`	`0.0000`	`0.00000000`
`ex4_1_7`	`0.0000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`-16.73889318`
`ex4_1_9`	`0.0000`	`-5.50801353`
`ex5_2_2_case1`	`0.0100`	`-400.00000413`
`ex5_2_2_case2`	`0.0100`	`-400.00000413`
`ex5_2_2_case3`	`0.0100`	`-750.00000755`
`ex5_2_4`	`0.0000`	`-450.00000661`
`ex5_2_5`	`0.2100`	`-3500.00004875`
`ex5_3_2`	`0.0100`	`1.86415947`
`ex5_4_2`	`0.0000`	`7512.22988660`
`ex5_4_3`	`0.0100`	`5937.43704146`
`ex5_4_4`	`0.0300`	`11841.60915531`
`ex6_1_1`	`0.0000`	`-0.01757754`
`ex6_1_2`	`0.0000`	`0.00000246`
`ex6_1_3`	`0.0000`	`-0.32434879`
`ex6_1_4`	`0.0000`	`-0.29454129`
`ex6_2_10`	`0.0000`	`-3.05197613`
`ex6_2_11`	`0.0000`	`-0.00000267`
`ex6_2_12`	`0.0100`	`0.28919475`
`ex6_2_13`	`0.0000`	`-0.21620944`
`ex6_2_14`	`0.0000`	`-0.69535818`
`ex6_2_5`	`0.0100`	`-70.75207783`
`ex6_2_6`	`0.0000`	`0.00000071`
`ex6_2_7`	`0.0000`	`-0.16084762`
`ex6_2_8`	`0.0000`	`-0.02700635`
`ex6_2_9`	`0.0100`	`-0.03406618`
`ex7_2_1`	`0.0200`	`1227.22543675`
`ex7_2_2`	`0.0000`	`-0.38881144`
`ex7_2_3`	`0.0000`	`7049.24764753`
`ex7_2_4`	`0.0100`	`3.91801014`
`ex7_3_1`	`0.0100`	`0.34173955`
`ex7_3_2`	`0.0000`	`1.08986392`
`ex7_3_3`	`0.0000`	`1.14477975`
`ex7_3_4`	`0.0200`	`9.99999990`
`ex7_3_5`	`0.0100`	`1.20689648`
`ex8_1_1`	`0.0000`	`-2.02180680`
`ex8_1_2`	`0.0000`	`-0.79697989`
`ex8_1_3`	`0.0000`	`30.00000000`
`ex8_1_4`	`0.0000`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.00000000`
`ex8_1_6`	`0.0000`	`-5.06543974`
`ex8_1_7`	`0.0100`	`0.02931083`
`ex8_1_8`	`0.0000`	`-0.38881144`
`ex8_3_1`	`0.7900`	`-0.81959025`
`ex8_3_11`	`0.7400`	`-0.79957186`
`ex8_3_12`	`1.2400`	`-0.99059464`
`ex8_3_13`	`0.6000`	`-36.08469878`
`ex8_3_14`	`0.9200`	`-0.00160045`
`ex8_3_2`	`0.0800`	`-0.33132667`
`ex8_3_3`	`0.0900`	`-0.33303464`
`ex8_3_4`	`1.3700`	`-3.57998232`
`ex8_3_5`	`0.3900`	`-0.06911965`
`ex8_3_6`	`0.2000`	`-0.50000000`
`ex8_3_7`	`4.0200`	`-1.23261913`
`ex8_3_8`	`0.4300`	`-3.25611903`
`ex8_3_9`	`0.0100`	`-0.74161985`
`ex8_4_1`	`0.0000`	`0.61857276`
`ex8_4_2`	`0.0100`	`0.48515249`
`ex8_4_3`	`0.0000`	`0.00464972`
`ex8_4_4`	`0.0000`	`0.21245984`
`ex8_4_5`	`0.0100`	`0.00122530`
`ex8_4_6`	`0.0100`	`0.00110498`
`ex8_4_7`	`0.0000`	`29.04730672`
`ex8_4_8`	`0.0500`	`3.32184732`
`ex8_5_1`	`0.0000`	`-0.00000041`
`ex8_5_2`	`0.0100`	`-0.00000001`
`ex8_5_3`	`0.0000`	`0.00004093`
`ex8_5_4`	`0.0000`	`-0.00042515`
`ex8_5_5`	`0.0000`	`0.00000066`
`ex8_5_6`	`0.0000`	`0.00000099`
`ex8_6_1`	`0.2400`	`-26.19961007`
`ex8_6_2`	`0.0900`	`-31.88862963`
`ex9_1_10`	`0.0200`	`-3.24999449`
`ex9_1_2`	`0.0100`	`-16.00000000`
`ex9_1_4`	`0.0000`	`-37.00000000`
`ex9_1_5`	`0.0100`	`-1.00000009`
`ex9_1_8`	`0.0200`	`-3.24999449`
`ex9_2_1`	`0.0000`	`25.00000000`
`ex9_2_2`	`0.0100`	`99.99999990`
`ex9_2_3`	`0.0100`	`4.99999979`
`ex9_2_4`	`0.0000`	`0.50000000`
`ex9_2_5`	`0.0100`	`9.80000000`
`ex9_2_6`	`0.0200`	`-1.00000001`
`ex9_2_7`	`0.0000`	`25.00000000`
`gtm`	`0.0100`	`543.56509392`
`harker`	`0.0000`	`-986.51348430`
`haverly`	`0.0000`	`-400.00000413`
`hhfair`	`0.0000`	`-87.15903761`
`himmel11`	`0.0000`	`-30665.53935621`
`himmel16`	`0.0100`	`-0.67498143`
`house`	`0.0000`	`-4500.00004533`
`hydro`	`0.0100`	`4366944.08060965`
`immun`	`0.0000`	`0.00000000`
`korcge`	`0.0100`	`-339.21302800`
`launch`	`0.0200`	`2257.79733035`
`least`	`0.0000`	`14085.13984893`
`like`	`0.0000`	`1138.41056442`
`lnts50`	`0.0500`	`0.55466876`
`meanvar`	`0.0100`	`5.24339902`
`mhw4d`	`0.0100`	`27.87190522`
`minlphi`	`0.0500`	`582.23613895`
`otpop`	`0.0200`	`0.00000000`
`pindyck`	`0.0100`	`-1170.48628544`
`pollut`	`0.0100`	`-5353268.68596985`
`process`	`0.0100`	`-1161.33661397`
`prolog`	`0.0500`	`0.00000016`
`qp1`	`0.0500`	`0.00080940`
`qp2`	`0.0400`	`0.00080940`
`qp3`	`0.0700`	`0.00080940`
`qp4`	`0.0300`	`0.00080940`
`qp5`	`0.0400`	`0.43145425`
`ramsey`	`0.0000`	`-2.48746873`
`rbrock`	`0.0100`	`0.00000000`
`sambal`	`0.0000`	`3.96822036`
`sample`	`0.0100`	`726.67886620`
`ship`	`0.0100`	`5.54091468`
`srcpm`	`0.0200`	`2109.78182578`
`st_bpaf1a`	`0.0100`	`-45.37971103`
`st_bpaf1b`	`0.0000`	`-42.96255853`
`st_bpk1`	`0.0000`	`-13.00000033`
`st_bpk2`	`0.0000`	`-13.00000033`
`st_bpv1`	`0.0000`	`9.99999772`
`st_bpv2`	`0.0000`	`-8.00000025`
`st_bsj2`	`0.0000`	`0.99999998`
`st_bsj3`	`0.0000`	`-34843.05069165`
`st_bsj4`	`0.0100`	`-44347.05088467`
`st_cqpf`	`0.0100`	`-2.75000022`
`st_cqpjk1`	`0.0000`	`-12.44444237`
`st_cqpjk2`	`0.0000`	`-12.50000000`
`st_e01`	`0.0000`	`-6.66666672`
`st_e03`	`0.0000`	`-1161.33661398`
`st_e05`	`0.0000`	`7049.24927248`
`st_e06`	`0.0000`	`0.00000000`
`st_e07`	`0.0000`	`-400.00000413`
`st_e08`	`0.0100`	`1.09533535`
`st_e09`	`0.0000`	`-0.50000000`
`st_e10`	`0.0100`	`-16.73889318`
`st_e12`	`0.0000`	`-4.51420175`
`st_e16`	`0.0100`	`12292.46726840`
`st_e17`	`0.0000`	`376.29192857`
`st_e18`	`0.0000`	`-2.82842714`
`st_e19`	`0.0000`	`-86.42220685`
`st_e20`	`0.0000`	`-0.38881144`
`st_e21`	`0.0100`	`-13.40190374`
`st_e22`	`0.0000`	`-68.00000135`
`st_e23`	`0.0000`	`-1.08333334`
`st_e24`	`0.0000`	`2.99999989`
`st_e25`	`0.0000`	`0.89019356`
`st_e26`	`0.0100`	`-185.77920359`
`st_e28`	`0.0000`	`-30665.53935621`
`st_e30`	`0.0300`	`-1.58113884`
`st_e33`	`0.0100`	`-400.00000906`
`st_e34`	`0.0100`	`0.01561773`
`st_e37`	`0.0000`	`0.00104172`
`st_e39`	`0.0000`	`-5.06543974`
`st_e41`	`0.0000`	`641.82355512`
`st_e42`	`0.0000`	`18.78419922`
`st_fp1`	`0.0000`	`-0.00000224`
`st_fp2`	`0.0000`	`-213.00000399`
`st_fp3`	`0.0000`	`-10.10937515`
`st_fp4`	`0.0000`	`-11.00000020`
`st_fp5`	`0.0100`	`-268.01463861`
`st_fp6`	`0.0000`	`-29.00000504`
`st_fp7a`	`0.0000`	`1.47958604`
`st_fp7b`	`0.0200`	`-371.75659582`
`st_fp7c`	`0.0300`	`-5112.37715133`
`st_fp7d`	`0.0000`	`6.55405301`
`st_fp7e`	`0.0000`	`12.75070606`
`st_fp8`	`0.0300`	`15638.99948308`
`st_glmp_fp1`	`0.0100`	`19.99999994`
`st_glmp_fp2`	`0.0000`	`7.34454509`
`st_glmp_fp3`	`0.0000`	`-12.00000023`
`st_glmp_kk90`	`0.0000`	`2.99999989`
`st_glmp_kk92`	`0.0000`	`-12.00000023`
`st_glmp_kky`	`0.0100`	`-2.50000038`
`st_glmp_ss1`	`0.0100`	`-24.57142900`
`st_glmp_ss2`	`0.0100`	`8.24999988`
`st_ht`	`0.0100`	`-0.00000003`
`st_iqpbk1`	`0.0000`	`-621.48783693`
`st_iqpbk2`	`0.0100`	`-1195.22567341`
`st_jcbpaf2`	`0.0100`	`-480.66171418`
`st_jcbpafex`	`0.0000`	`-1.08333334`
`st_kr`	`0.0000`	`-68.00000135`
`st_m1`	`0.0000`	`-461356.94671769`
`st_m2`	`0.0400`	`-856648.86013461`
`st_pan1`	`0.0000`	`-0.00000008`
`st_pan2`	`0.0000`	`-0.00000224`
`st_ph1`	`0.0000`	`-0.00000004`
`st_ph10`	`0.0000`	`-10.50000023`
`st_ph11`	`0.0000`	`-0.00000002`
`st_ph12`	`0.0000`	`-0.00000005`
`st_ph13`	`0.0000`	`-0.00000002`
`st_ph14`	`0.0000`	`-215.12500278`
`st_ph15`	`0.0000`	`-0.00000039`
`st_ph2`	`0.0000`	`-0.00000019`
`st_ph20`	`0.0100`	`-158.00000417`
`st_ph3`	`0.0000`	`-0.00000014`
`st_phex`	`0.0000`	`-68.00000135`
`st_qpc-m0`	`0.0100`	`-0.00000005`
`st_qpc-m1`	`0.0100`	`-473.77779443`
`st_qpc-m3a`	`0.0100`	`-0.00000097`
`st_qpc-m3b`	`0.0000`	`-0.00000097`
`st_qpc-m3c`	`0.0000`	`-0.00000097`
`st_qpc-m4`	`0.0000`	`-0.00000097`
`st_qpk1`	`0.0000`	`-0.00000004`
`st_qpk2`	`0.0100`	`-12.25000044`
`st_qpk3`	`0.0400`	`-36.00000141`
`st_rv1`	`0.0000`	`-59.90434591`
`st_rv2`	`0.0100`	`-62.56135685`
`st_rv3`	`0.0100`	`-35.76067104`
`st_rv7`	`0.0100`	`-138.18749895`
`st_rv8`	`0.0200`	`-126.86334562`
`st_rv9`	`1.1300`	`-117.74415714`
`st_z`	`0.0000`	`-0.00000003`
`wall`	`0.0000`	`1.00000466`
`weapons`	`0.0100`	`-1735.56958075`

IPOPT: feasible: Back to top

Modelname	Time (IPOPT)	Obj (IPOPT)
`ex4_1_6`	`0.0000`	`7.00000000`
`ex5_3_3`	`0.2100`	`4.35445217`
`ex7_3_6`	`0.0600`	`0.00000000`
`ex8_3_10`	`5.5600`	`-0.02155540`
`ex9_1_1`	`0.5100`	`-12.99999631`
`st_e04`	`0.0100`	`5194.86621936`
`st_e11`	`0.0100`	`189.31162972`

IPOPT: infeasible: Back to top

Modelname	Time (IPOPT)	Status (IPOPT)
`ex8_2_4`	`--`	`mstat( 5) sstat( 1)`
`st_e02`	`--`	`mstat( 5) sstat( 1)`
`st_robot`	`--`	`mstat( 5) sstat( 1)`

IPOPT: fail: Back to top

Modelname	Time (IPOPT)	Status (IPOPT)
`ex8_2_1`	`--`	`mstat( 6) sstat( 1)`
`worst`	`--`	`mstat( 6) sstat( 1)`

IPOPT: no data: Back to top

Modelname	Time (IPOPT)	Status (IPOPT)
`ex9_2_8`	`--`	`--`

SNOPT: optimal: Back to top

Modelname	Time (SNOPT)	Obj (SNOPT)
`qp5`	`0.0100`	`0.43145590`

SNOPT: locally optimal: Back to top

Modelname	Time (SNOPT)	Obj (SNOPT)
`abel`	`0.0000`	`225.19458319`
`alkyl`	`0.0000`	`-1.76499992`
`bayes2_10`	`0.1200`	`131.15667703`
`bayes2_20`	`0.0100`	`349.68467552`
`bayes2_30`	`0.0600`	`0.25133100`
`bayes2_50`	`0.0400`	`62.41225389`
`bearing`	`0.0100`	`1.95170659`
`btest14`	`0.0300`	`31.97751380`
`camcge`	`0.0200`	`-191.73462424`
`camshape100`	`0.0300`	`-4.28408877`
`chain100`	`1.1300`	`5.06978462`
`chain25`	`0.3200`	`5.07226150`
`chain50`	`0.3100`	`5.07226150`
`chakra`	`0.0100`	`-179.13355785`
`chance`	`0.0000`	`29.89437816`
`chem`	`0.0000`	`-47.70651483`
`chenery`	`0.0300`	`-1058.91994457`
`circle`	`0.0100`	`4.57433040`
`demo7`	`0.0100`	`-1589042.38619808`
`dispatch`	`0.0000`	`3155.28781031`
`elec100`	`3.4800`	`4448.41042065`
`elec25`	`0.2400`	`243.81276027`
`elec50`	`0.4300`	`1055.18231473`
`etamac`	`0.0300`	`-15.29467564`
`ex14_1_1`	`0.0000`	`0.00000000`
`ex14_1_2`	`0.0100`	`0.00000000`
`ex14_1_3`	`0.0100`	`0.00000000`
`ex14_1_4`	`0.0100`	`0.00000000`
`ex14_1_5`	`0.0000`	`0.00000000`
`ex14_1_6`	`0.0000`	`1.00000000`
`ex14_1_7`	`0.0000`	`7.04274947`
`ex14_1_8`	`0.0100`	`0.04141589`
`ex14_1_9`	`0.0000`	`0.00000000`
`ex14_2_1`	`0.0100`	`0.00000000`
`ex14_2_2`	`0.0000`	`0.00000000`
`ex14_2_3`	`0.0000`	`0.00000000`
`ex14_2_4`	`0.0000`	`0.00000000`
`ex14_2_5`	`0.0000`	`0.00000000`
`ex14_2_6`	`0.0000`	`0.00000000`
`ex14_2_7`	`0.0000`	`0.00000000`
`ex14_2_8`	`0.0000`	`0.00000000`
`ex14_2_9`	`0.0100`	`0.00000000`
`ex2_1_1`	`0.0000`	`-17.00000000`
`ex2_1_10`	`0.0000`	`49318.01795841`
`ex2_1_2`	`0.0100`	`-213.00000000`
`ex2_1_3`	`0.0000`	`-15.00000000`
`ex2_1_4`	`0.0000`	`-11.00000000`
`ex2_1_5`	`0.0000`	`-268.01463154`
`ex2_1_6`	`0.0000`	`-39.00000000`
`ex2_1_7`	`0.0000`	`-4150.41013393`
`ex2_1_8`	`0.0100`	`25287.00000000`
`ex2_1_9`	`0.0000`	`-0.37500000`
`ex3_1_1`	`0.0000`	`7049.24803291`
`ex3_1_2`	`0.0000`	`-30665.53867179`
`ex3_1_3`	`0.0000`	`-310.00000000`
`ex3_1_4`	`0.0000`	`-4.00000000`
`ex4_1_1`	`0.0000`	`-0.51997806`
`ex4_1_2`	`0.0000`	`-663.50009661`
`ex4_1_3`	`0.0000`	`-443.67170474`
`ex4_1_4`	`0.0000`	`0.00000000`
`ex4_1_5`	`0.0000`	`0.00000000`
`ex4_1_6`	`0.0000`	`7.00000000`
`ex4_1_7`	`0.0000`	`-7.50000000`
`ex4_1_8`	`0.0000`	`-16.73889318`
`ex4_1_9`	`0.0000`	`-5.50801327`
`ex5_2_2_case1`	`0.0000`	`0.00000000`
`ex5_2_2_case2`	`0.0100`	`0.00000000`
`ex5_2_2_case3`	`0.0000`	`0.00000000`
`ex5_2_4`	`0.0000`	`-100.00000000`
`ex5_2_5`	`0.0000`	`-1900.00000000`
`ex5_4_2`	`0.0000`	`7512.23013862`
`ex5_4_4`	`0.0100`	`12138.44802703`
`ex6_1_1`	`0.0000`	`-0.02019829`
`ex6_1_2`	`0.0000`	`-0.03246375`
`ex6_1_3`	`0.0000`	`-0.35249780`
`ex6_1_4`	`0.0000`	`-0.29454129`
`ex6_2_11`	`0.0000`	`-0.00000267`
`ex6_2_12`	`0.0000`	`0.28919475`
`ex6_2_13`	`0.0000`	`-0.21620944`
`ex6_2_14`	`0.0000`	`-0.69535793`
`ex6_2_5`	`0.0100`	`-70.75207783`
`ex6_2_6`	`0.0000`	`0.00000071`
`ex6_2_7`	`0.0000`	`-0.16084762`
`ex6_2_8`	`0.0000`	`-0.02700635`
`ex6_2_9`	`0.0000`	`-0.03406618`
`ex7_2_1`	`0.0600`	`1227.20238324`
`ex7_2_2`	`0.0100`	`-0.38881143`
`ex7_2_3`	`0.0000`	`7049.21674759`
`ex7_2_4`	`0.0100`	`4.20285304`
`ex7_3_1`	`0.0300`	`0.34173955`
`ex7_3_2`	`0.0000`	`1.08986397`
`ex7_3_3`	`0.0000`	`1.14477980`
`ex7_3_4`	`0.0000`	`10.00000000`
`ex7_3_5`	`0.0100`	`1.20689655`
`ex8_1_1`	`0.0000`	`-2.02180678`
`ex8_1_2`	`0.0000`	`2.80345848`
`ex8_1_3`	`0.0000`	`30.00000000`
`ex8_1_4`	`0.0000`	`0.00000000`
`ex8_1_5`	`0.0000`	`0.00000000`
`ex8_1_6`	`0.0000`	`-5.06543974`
`ex8_1_7`	`0.0000`	`64.87399184`
`ex8_1_8`	`0.0000`	`-0.38881143`
`ex8_3_1`	`0.4500`	`-0.80493682`
`ex8_3_10`	`0.0500`	`-0.03596508`
`ex8_3_11`	`0.4800`	`-0.76426037`
`ex8_3_12`	`0.0100`	`0.00000000`
`ex8_3_13`	`0.0100`	`0.00000000`
`ex8_3_2`	`0.1000`	`-0.41233018`
`ex8_3_3`	`0.1100`	`-0.41660308`
`ex8_3_4`	`0.1900`	`-3.57998238`
`ex8_3_5`	`0.1000`	`-0.06911967`
`ex8_3_6`	`0.2400`	`-0.50000001`
`ex8_3_7`	`0.1000`	`-1.12360839`
`ex8_3_8`	`3.3900`	`-3.23574263`
`ex8_3_9`	`0.0900`	`-0.76159633`
`ex8_4_1`	`0.0000`	`0.61857276`
`ex8_4_2`	`0.0000`	`0.48515249`
`ex8_4_3`	`0.0200`	`0.00464972`
`ex8_4_4`	`0.0000`	`0.21245984`
`ex8_4_7`	`0.0500`	`29.04730832`
`ex8_5_5`	`0.0000`	`0.00000066`
`ex8_6_1`	`0.0500`	`-27.21393544`
`ex8_6_2`	`0.0300`	`-31.88862963`
`ex9_1_1`	`0.0100`	`-13.00000000`
`ex9_1_10`	`0.0000`	`-3.25000000`
`ex9_1_2`	`0.0000`	`-16.00000000`
`ex9_1_4`	`0.0000`	`-37.00000000`
`ex9_1_5`	`0.0000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`-3.25000000`
`ex9_2_1`	`0.0000`	`17.00000000`
`ex9_2_2`	`0.0000`	`99.98610298`
`ex9_2_3`	`0.0000`	`4.99999999`
`ex9_2_4`	`0.0100`	`0.50000000`
`ex9_2_5`	`0.0000`	`5.00000000`
`ex9_2_6`	`0.0100`	`-1.00000000`
`ex9_2_7`	`0.0000`	`17.00000000`
`ex9_2_8`	`0.0000`	`1.50000000`
`gtm`	`0.0000`	`543.56509479`
`harker`	`0.0000`	`-986.51348399`
`haverly`	`0.0000`	`-400.00000000`
`hhfair`	`0.0200`	`-87.15903764`
`himmel11`	`0.0000`	`-30665.53740549`
`himmel16`	`0.0000`	`-0.67498144`
`house`	`0.0100`	`-4500.00011362`
`hydro`	`0.0100`	`4366944.15964529`
`immun`	`0.0100`	`0.00000000`
`korcge`	`0.0100`	`-339.21302779`
`launch`	`0.0000`	`2257.79755763`
`least`	`0.0000`	`14085.13984893`
`like`	`0.0200`	`1138.41056442`
`lnts50`	`0.2200`	`0.55466877`
`meanvar`	`0.0100`	`5.24339907`
`mhw4d`	`0.0000`	`27.87190522`
`minlphi`	`0.0000`	`582.23614204`
`otpop`	`0.0800`	`0.00000000`
`pindyck`	`0.0300`	`-1170.48545536`
`pollut`	`0.0000`	`-5353268.62874738`
`process`	`0.0000`	`-1161.33660357`
`prolog`	`0.0000`	`1.06218530`
`qp1`	`0.0400`	`0.00080932`
`qp2`	`0.0200`	`0.00080932`
`qp3`	`0.0100`	`0.00080932`
`qp4`	`0.0000`	`0.00080932`
`ramsey`	`0.0100`	`-2.48746864`
`rbrock`	`0.0000`	`0.00000000`
`sambal`	`0.0100`	`3.96822036`
`sample`	`0.0000`	`721.91096343`
`ship`	`0.0100`	`5.54091471`
`srcpm`	`0.0100`	`2109.78183275`
`st_bpaf1a`	`0.0000`	`-45.37971014`
`st_bpaf1b`	`0.0100`	`-42.96255760`
`st_bpk1`	`0.0000`	`-10.00000000`
`st_bpk2`	`0.0000`	`-10.00000000`
`st_bpv1`	`0.0100`	`10.00000000`
`st_bpv2`	`0.0000`	`0.00000000`
`st_bsj2`	`0.0000`	`1.00000000`
`st_bsj3`	`0.0000`	`-34843.05000000`
`st_bsj4`	`0.0000`	`-55379.66110775`
`st_cqpf`	`0.0000`	`-2.75000000`
`st_cqpjk1`	`0.0000`	`-12.44444222`
`st_cqpjk2`	`0.0000`	`-12.50000000`
`st_e01`	`0.0000`	`-4.00000001`
`st_e03`	`0.0100`	`-1161.33660236`
`st_e04`	`0.0000`	`5194.86624420`
`st_e05`	`0.0100`	`7049.24927240`
`st_e06`	`0.0000`	`0.00000000`
`st_e07`	`0.0000`	`-400.00000000`
`st_e09`	`0.0000`	`0.00000000`
`st_e10`	`0.0000`	`-16.73889318`
`st_e11`	`0.0000`	`189.31162969`
`st_e12`	`0.0000`	`0.00000000`
`st_e17`	`0.0000`	`376.29193221`
`st_e19`	`0.0000`	`11.00000000`
`st_e20`	`0.0100`	`-0.38881143`
`st_e21`	`0.0000`	`0.00000000`
`st_e22`	`0.0100`	`-85.00000000`
`st_e23`	`0.0000`	`-1.00000000`
`st_e24`	`0.0000`	`4.00000000`
`st_e25`	`0.0000`	`0.89019359`
`st_e26`	`0.0000`	`-185.77920000`
`st_e28`	`0.0000`	`-30665.53740549`
`st_e33`	`0.0000`	`-400.00000000`
`st_e34`	`0.0000`	`0.01561953`
`st_e37`	`0.0000`	`0.01583938`
`st_e39`	`0.0000`	`-5.06543974`
`st_e41`	`0.0100`	`641.82307603`
`st_e42`	`0.0000`	`18.78420000`
`st_fp1`	`0.0000`	`0.00000000`
`st_fp2`	`0.0000`	`-213.00000000`
`st_fp3`	`0.0000`	`-10.10937500`
`st_fp4`	`0.0000`	`-11.00000000`
`st_fp5`	`0.0000`	`-268.01463154`
`st_fp6`	`0.0000`	`-21.12500000`
`st_fp7a`	`0.0100`	`1.47958635`
`st_fp7b`	`0.0000`	`-488.71157911`
`st_fp7c`	`0.0000`	`-5774.23158221`
`st_fp7d`	`0.0000`	`6.55405444`
`st_fp7e`	`0.0000`	`12.75070976`
`st_fp8`	`0.0000`	`20560.00000000`
`st_glmp_fp1`	`0.0000`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`7.62750000`
`st_glmp_fp3`	`0.0000`	`0.00000000`
`st_glmp_kk90`	`0.0000`	`4.00000000`
`st_glmp_kk92`	`0.0000`	`0.00000000`
`st_glmp_kky`	`0.0000`	`1.50000000`
`st_glmp_ss1`	`0.0000`	`-24.57142857`
`st_glmp_ss2`	`0.0100`	`8.25000000`
`st_ht`	`0.0000`	`0.00000000`
`st_iqpbk1`	`0.0000`	`-621.48782500`
`st_iqpbk2`	`0.0000`	`-1195.22565000`
`st_jcbpaf2`	`0.0000`	`-480.66170799`
`st_jcbpafex`	`0.0000`	`-1.00000000`
`st_kr`	`0.0000`	`-85.00000000`
`st_m1`	`0.0000`	`-461356.93887879`
`st_m2`	`0.0100`	`-856648.81868507`
`st_pan1`	`0.0000`	`0.00000000`
`st_pan2`	`0.0000`	`0.00000000`
`st_ph1`	`0.0000`	`0.00000000`
`st_ph10`	`0.0000`	`-10.50000000`
`st_ph11`	`0.0000`	`0.00000000`
`st_ph12`	`0.0100`	`0.00000000`
`st_ph13`	`0.0000`	`0.00000000`
`st_ph14`	`0.0000`	`-215.12500000`
`st_ph15`	`0.0000`	`0.00000000`
`st_ph2`	`0.0000`	`0.00000000`
`st_ph20`	`0.0000`	`-158.00000000`
`st_ph3`	`0.0000`	`0.00000000`
`st_phex`	`0.0000`	`-85.00000000`
`st_qpc-m0`	`0.0000`	`0.00000000`
`st_qpc-m1`	`0.0000`	`-473.77777778`
`st_qpc-m3a`	`0.0000`	`0.00000000`
`st_qpc-m3b`	`0.0000`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.00000000`
`st_qpc-m4`	`0.0000`	`0.00000000`
`st_qpk1`	`0.0000`	`0.00000000`
`st_qpk2`	`0.0100`	`0.00000000`
`st_qpk3`	`0.0000`	`0.00000000`
`st_robot`	`0.0000`	`0.00000000`
`st_rv1`	`0.0000`	`-59.90434506`
`st_rv2`	`0.0000`	`-64.48069510`
`st_rv3`	`0.0000`	`-35.76067064`
`st_rv7`	`0.0100`	`-138.09249914`
`st_rv8`	`0.0100`	`-132.66162896`
`st_rv9`	`0.0100`	`-117.58869438`
`st_z`	`0.0000`	`0.00000000`
`wall`	`0.0100`	`1.00000466`
`weapons`	`0.0300`	`-1735.56957986`
`worst`	`0.0000`	`20762609.21087110`

SNOPT: feasible: Back to top

Modelname	Time (SNOPT)	Obj (SNOPT)
`ex6_2_10`	`0.0000`	`-3.05197611`
`ex8_2_1`	`0.0100`	`-32.91232426`
`ex8_2_4`	`0.3200`	`-3436.56104883`
`ex8_4_6`	`0.0000`	`1.94679186`
`ex8_5_1`	`0.0000`	`-0.24781247`
`ex8_5_2`	`0.0000`	`-0.53039201`
`ex8_5_3`	`0.0000`	`1.86891942`
`ex8_5_4`	`0.0100`	`0.33137926`
`ex8_5_6`	`0.0000`	`0.40337355`

SNOPT: infeasible: Back to top

Modelname	Time (SNOPT)	Status (SNOPT)
`ex5_3_2`	`--`	`mstat( 5) sstat( 1)`
`ex5_3_3`	`--`	`mstat( 5) sstat( 1)`
`ex5_4_3`	`--`	`mstat( 5) sstat( 1)`
`ex7_3_6`	`--`	`mstat( 5) sstat( 1)`
`st_e02`	`--`	`mstat( 5) sstat( 1)`
`st_e08`	`--`	`mstat( 5) sstat( 1)`
`st_e16`	`--`	`mstat( 5) sstat( 1)`
`st_e18`	`--`	`mstat( 5) sstat( 1)`
`st_e30`	`--`	`mstat( 5) sstat( 1)`

SNOPT: fail: Back to top

Modelname	Time (SNOPT)	Status (SNOPT)
`ex8_3_14`	`--`	`mstat( 6) sstat( 5)`
`ex8_4_5`	`--`	`mstat( 6) sstat( 4)`
`ex8_4_8`	`--`	`mstat( 6) sstat( 5)`