Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 06/13/04 21:30:46

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 DONLP2 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 :	`tracedonlp2.trc`
Tracefile 2 :	`tracesnopt.trc`
Solvers used :	`DONLP2`
	`SNOPT`
Modeltype(s)	NLP

	optimal	locally optimal	feasible	infeasible	unbounded	fail	no data	total DONLP2
optimal	-	-	-	-	-	-	-	`-`
locally optimal	`1`	`246`	`5`	`3`	-	`2`	-	`257`
feasible	-	`2`	`1`	`1`	-	-	-	`4`
infeasible	-	`16`	`3`	`5`	-	`1`	-	`25`
unbounded	-	-	-	-	-	-	-	`-`
fail	-	`4`	-	-	-	-	-	`4`
no data	-	-	-	-	-	-	-	`-`
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.

DONLP2: locally optimal -- SNOPT: optimal Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Obj (DONLP2)	Obj (SNOPT)
`qp5`	`1.7400`	`0.0100`	`174.000`	`0.43149977`	`0.43145590`

DONLP2: locally optimal -- SNOPT: locally optimal Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Obj (DONLP2)	Obj (SNOPT)
`abel`	`0.0100`	`0.0000`	`---`	`225.19458319`	`225.19458319`
`alkyl`	`0.0100`	`0.0000`	`---`	`-1.76499965`	`-1.76499992`
`bayes2_10`	`3.9900`	`0.1200`	`33.250`	`0.34611763`	`131.15667703`
`bayes2_20`	`12.1200`	`0.0100`	`1212.000`	`2.30381075`	`349.68467552`
`bayes2_50`	`34.7200`	`0.0400`	`868.000`	`62.41224048`	`62.41225389`
`chain100`	`6.4300`	`1.1300`	`5.690`	`5.06978589`	`5.06978462`
`chain25`	`0.9400`	`0.3200`	`2.937`	`5.07226254`	`5.07226150`
`chain50`	`0.9300`	`0.3100`	`3.000`	`5.07226254`	`5.07226150`
`chakra`	`0.1900`	`0.0100`	`19.000`	`-179.13355786`	`-179.13355785`
`chance`	`0.0000`	`0.0000`	`---`	`29.89437816`	`29.89437816`
`chem`	`0.0100`	`0.0000`	`---`	`-47.70651483`	`-47.70651483`
`circle`	`0.0000`	`0.0100`	`---`	`4.57424779`	`4.57433040`
`demo7`	`0.9600`	`0.0100`	`96.000`	`-56.05695926`	`-1589042.38619808`
`dispatch`	`0.0000`	`0.0000`	`---`	`3155.28792744`	`3155.28781031`
`elec100`	`19.5500`	`3.4800`	`5.618`	`4448.41042092`	`4448.41042065`
`elec25`	`0.3700`	`0.2400`	`1.542`	`243.81276064`	`243.81276027`
`elec50`	`3.5300`	`0.4300`	`8.209`	`1055.18231482`	`1055.18231473`
`etamac`	`2.6400`	`0.0300`	`88.000`	`-15.29467563`	`-15.29467564`
`ex14_1_1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_1_2`	`0.0000`	`0.0100`	`---`	`0.93023230`	`0.00000000`
`ex14_1_3`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_1_4`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_1_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_1_6`	`0.0100`	`0.0000`	`---`	`1.00000000`	`1.00000000`
`ex14_1_7`	`0.0100`	`0.0000`	`---`	`7.04274947`	`7.04274947`
`ex14_1_8`	`0.0000`	`0.0100`	`---`	`0.04141589`	`0.04141589`
`ex14_1_9`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_1`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex14_2_2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_4`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_5`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_6`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_7`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_8`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex14_2_9`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex2_1_1`	`0.0000`	`0.0000`	`---`	`-17.00000000`	`-17.00000000`
`ex2_1_10`	`0.0200`	`0.0000`	`---`	`49318.01795841`	`49318.01795841`
`ex2_1_2`	`0.0000`	`0.0100`	`---`	`-213.00000000`	`-213.00000000`
`ex2_1_3`	`0.0000`	`0.0000`	`---`	`-15.00000000`	`-15.00000000`
`ex2_1_4`	`0.0000`	`0.0000`	`---`	`-11.00000000`	`-11.00000000`
`ex2_1_5`	`0.0100`	`0.0000`	`---`	`-268.01463154`	`-268.01463154`
`ex2_1_6`	`0.0000`	`0.0000`	`---`	`-39.00000000`	`-39.00000000`
`ex2_1_7`	`0.0000`	`0.0000`	`---`	`-4150.41013393`	`-4150.41013393`
`ex2_1_8`	`0.0800`	`0.0100`	`8.000`	`15639.00000002`	`25287.00000000`
`ex2_1_9`	`0.0000`	`0.0000`	`---`	`-0.37500000`	`-0.37500000`
`ex3_1_1`	`0.0000`	`0.0000`	`---`	`7049.24802053`	`7049.24803291`
`ex3_1_2`	`0.0000`	`0.0000`	`---`	`-30665.52537878`	`-30665.53867179`
`ex3_1_3`	`0.0000`	`0.0000`	`---`	`-310.00000000`	`-310.00000000`
`ex3_1_4`	`0.0100`	`0.0000`	`---`	`-4.00000000`	`-4.00000000`
`ex4_1_1`	`0.0000`	`0.0000`	`---`	`-7.48731236`	`-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_6`	`0.0000`	`0.0000`	`---`	`7.00000000`	`7.00000000`
`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`	`---`	`-5.50801327`	`-5.50801327`
`ex5_2_2_case1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`ex5_2_2_case2`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`ex5_2_2_case3`	`0.0200`	`0.0000`	`---`	`-750.00000000`	`0.00000000`
`ex5_2_4`	`0.0000`	`0.0000`	`---`	`-449.99979022`	`-100.00000000`
`ex5_2_5`	`0.2300`	`0.0000`	`+INF.000`	`-3500.00000000`	`-1900.00000000`
`ex5_4_2`	`0.0300`	`0.0000`	`---`	`7512.23014450`	`7512.23013862`
`ex5_4_4`	`0.1800`	`0.0100`	`18.000`	`12138.88262814`	`12138.44802703`
`ex6_1_1`	`0.0000`	`0.0000`	`---`	`-0.02019821`	`-0.02019829`
`ex6_1_2`	`0.0000`	`0.0000`	`---`	`-0.03246375`	`-0.03246375`
`ex6_1_3`	`0.0000`	`0.0000`	`---`	`-0.35249757`	`-0.35249780`
`ex6_1_4`	`0.0000`	`0.0000`	`---`	`-0.29454122`	`-0.29454129`
`ex6_2_11`	`0.0000`	`0.0000`	`---`	`-0.00000267`	`-0.00000267`
`ex6_2_12`	`0.0000`	`0.0000`	`---`	`0.28919502`	`0.28919475`
`ex6_2_13`	`0.0000`	`0.0000`	`---`	`-0.21620944`	`-0.21620944`
`ex6_2_6`	`0.0000`	`0.0000`	`---`	`0.00000071`	`0.00000071`
`ex6_2_7`	`0.0100`	`0.0000`	`---`	`-0.16084762`	`-0.16084762`
`ex6_2_8`	`0.0000`	`0.0000`	`---`	`-0.02700635`	`-0.02700635`
`ex6_2_9`	`0.0000`	`0.0000`	`---`	`-0.03406229`	`-0.03406618`
`ex7_2_1`	`0.0100`	`0.0600`	`0.167`	`1227.19696931`	`1227.20238324`
`ex7_2_2`	`0.0100`	`0.0100`	`---`	`-0.38881143`	`-0.38881143`
`ex7_2_3`	`0.0000`	`0.0000`	`---`	`7049.24802053`	`7049.21674759`
`ex7_2_4`	`0.0000`	`0.0100`	`---`	`3.91801023`	`4.20285304`
`ex7_3_1`	`0.0300`	`0.0300`	`---`	`0.34173955`	`0.34173955`
`ex7_3_2`	`0.0000`	`0.0000`	`---`	`1.08986385`	`1.08986397`
`ex7_3_3`	`0.0000`	`0.0000`	`---`	`1.14477978`	`1.14477980`
`ex7_3_4`	`0.0100`	`0.0000`	`---`	`10.00000000`	`10.00000000`
`ex7_3_5`	`0.0100`	`0.0100`	`---`	`1.20689618`	`1.20689655`
`ex8_1_1`	`0.0000`	`0.0000`	`---`	`-2.02180678`	`-2.02180678`
`ex8_1_2`	`0.0000`	`0.0000`	`---`	`2.80345848`	`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`	`---`	`-10.08600150`	`-5.06543974`
`ex8_1_7`	`0.0100`	`0.0000`	`---`	`0.02931113`	`64.87399184`
`ex8_1_8`	`0.0100`	`0.0000`	`---`	`-0.38881143`	`-0.38881143`
`ex8_3_1`	`44.4600`	`0.4500`	`98.800`	`-0.74108813`	`-0.80493682`
`ex8_3_11`	`0.3900`	`0.4800`	`0.813`	`-0.01550236`	`-0.76426037`
`ex8_3_12`	`1.2100`	`0.0100`	`121.000`	`0.00000000`	`0.00000000`
`ex8_3_2`	`14.4600`	`0.1000`	`144.600`	`-0.33132667`	`-0.41233018`
`ex8_3_3`	`14.0400`	`0.1100`	`127.636`	`-0.33303463`	`-0.41660308`
`ex8_3_4`	`54.2100`	`0.1900`	`285.316`	`-3.55501797`	`-3.57998238`
`ex8_3_5`	`13.2200`	`0.1000`	`132.200`	`-0.06265070`	`-0.06911967`
`ex8_3_6`	`0.4700`	`0.2400`	`1.958`	`-0.32582584`	`-0.50000001`
`ex8_3_9`	`0.0400`	`0.0900`	`0.444`	`-0.74161985`	`-0.76159633`
`ex8_4_1`	`0.0000`	`0.0000`	`---`	`0.61857276`	`0.61857276`
`ex8_4_2`	`0.0000`	`0.0000`	`---`	`0.48515249`	`0.48515249`
`ex8_4_3`	`0.1300`	`0.0200`	`6.500`	`0.00464972`	`0.00464972`
`ex8_4_4`	`0.0000`	`0.0000`	`---`	`0.21245984`	`0.21245984`
`ex8_4_7`	`0.9400`	`0.0500`	`18.800`	`29.04730672`	`29.04730832`
`ex8_5_5`	`0.0000`	`0.0000`	`---`	`0.00000066`	`0.00000066`
`ex8_6_1`	`1.0700`	`0.0500`	`21.400`	`-26.48390905`	`-27.21393544`
`ex8_6_2`	`0.0500`	`0.0300`	`1.667`	`-31.68816282`	`-31.88862963`
`ex9_1_1`	`0.0000`	`0.0100`	`---`	`-13.00000000`	`-13.00000000`
`ex9_1_10`	`0.0100`	`0.0000`	`---`	`-3.25000000`	`-3.25000000`
`ex9_1_2`	`0.0100`	`0.0000`	`---`	`-16.00000000`	`-16.00000000`
`ex9_1_5`	`0.0000`	`0.0000`	`---`	`-1.00000000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`0.0000`	`---`	`-3.25000000`	`-3.25000000`
`ex9_2_1`	`0.0000`	`0.0000`	`---`	`17.00000000`	`17.00000000`
`ex9_2_2`	`0.0100`	`0.0000`	`---`	`99.97318526`	`99.98610298`
`ex9_2_3`	`0.0100`	`0.0000`	`---`	`5.00000000`	`4.99999999`
`ex9_2_4`	`0.0100`	`0.0100`	`---`	`0.50000085`	`0.50000000`
`ex9_2_5`	`0.0100`	`0.0000`	`---`	`8.99999955`	`5.00000000`
`ex9_2_6`	`0.0100`	`0.0100`	`---`	`-0.99999897`	`-1.00000000`
`ex9_2_7`	`0.0100`	`0.0000`	`---`	`17.00000000`	`17.00000000`
`ex9_2_8`	`0.0000`	`0.0000`	`---`	`1.50000000`	`1.50000000`
`harker`	`0.0100`	`0.0000`	`---`	`-986.51348396`	`-986.51348399`
`haverly`	`0.0200`	`0.0000`	`---`	`-400.00000000`	`-400.00000000`
`hhfair`	`0.0700`	`0.0200`	`3.500`	`-87.15903083`	`-87.15903764`
`himmel11`	`0.0000`	`0.0000`	`---`	`-30665.53853986`	`-30665.53740549`
`himmel16`	`0.0100`	`0.0000`	`---`	`-0.67498144`	`-0.67498144`
`house`	`0.0000`	`0.0100`	`---`	`-4500.00000000`	`-4500.00011362`
`hydro`	`0.0800`	`0.0100`	`8.000`	`4366944.15980141`	`4366944.15964529`
`immun`	`0.0200`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`korcge`	`1.1800`	`0.0100`	`118.000`	`-339.21302802`	`-339.21302779`
`least`	`0.0000`	`0.0000`	`---`	`14085.13984893`	`14085.13984893`
`like`	`0.0000`	`0.0200`	`---`	`1138.41056445`	`1138.41056442`
`lnts50`	`22.3300`	`0.2200`	`101.500`	`0.55474107`	`0.55466877`
`meanvar`	`0.0000`	`0.0100`	`---`	`5.24339907`	`5.24339907`
`mhw4d`	`0.0000`	`0.0000`	`---`	`27.87190522`	`27.87190522`
`minlphi`	`0.0200`	`0.0000`	`---`	`582.23614204`	`582.23614204`
`otpop`	`0.7400`	`0.0800`	`9.250`	`0.00000000`	`0.00000000`
`pindyck`	`2.6400`	`0.0300`	`88.000`	`-1170.48628543`	`-1170.48545536`
`pollut`	`0.8600`	`0.0000`	`+INF.000`	`-5353268.62874511`	`-5353268.62874738`
`process`	`0.0100`	`0.0000`	`---`	`-1161.33660236`	`-1161.33660357`
`prolog`	`0.0100`	`0.0000`	`---`	`679.32207124`	`1.06218530`
`qp1`	`0.2300`	`0.0400`	`5.750`	`0.00080932`	`0.00080932`
`qp2`	`0.1900`	`0.0200`	`9.500`	`0.00080932`	`0.00080932`
`qp3`	`0.9300`	`0.0100`	`93.000`	`0.00080932`	`0.00080932`
`qp4`	`0.4800`	`0.0000`	`+INF.000`	`0.00080932`	`0.00080932`
`ramsey`	`0.0300`	`0.0100`	`---`	`-2.48745812`	`-2.48746864`
`rbrock`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`sambal`	`0.0200`	`0.0100`	`---`	`3.96822036`	`3.96822036`
`sample`	`0.0000`	`0.0000`	`---`	`726.67935779`	`721.91096343`
`ship`	`0.0100`	`0.0100`	`---`	`5.62508015`	`5.54091471`
`srcpm`	`0.0400`	`0.0100`	`---`	`2109.78183276`	`2109.78183275`
`st_bpaf1a`	`0.0100`	`0.0000`	`---`	`-45.37971016`	`-45.37971014`
`st_bpaf1b`	`0.0100`	`0.0100`	`---`	`-42.96255760`	`-42.96255760`
`st_bpk1`	`0.0000`	`0.0000`	`---`	`-10.00000000`	`-10.00000000`
`st_bpk2`	`0.0000`	`0.0000`	`---`	`-10.00000000`	`-10.00000000`
`st_bpv1`	`0.0000`	`0.0100`	`---`	`10.00000000`	`10.00000000`
`st_bpv2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_bsj2`	`0.0000`	`0.0000`	`---`	`1.00000000`	`1.00000000`
`st_bsj3`	`0.0000`	`0.0000`	`---`	`-34843.05000000`	`-34843.05000000`
`st_bsj4`	`0.0000`	`0.0000`	`---`	`-70262.05000000`	`-55379.66110775`
`st_cqpf`	`0.0000`	`0.0000`	`---`	`-2.75000000`	`-2.75000000`
`st_cqpjk1`	`0.0000`	`0.0000`	`---`	`-12.44443993`	`-12.44444222`
`st_cqpjk2`	`0.0000`	`0.0000`	`---`	`-12.50000000`	`-12.50000000`
`st_e01`	`0.0000`	`0.0000`	`---`	`-4.00000000`	`-4.00000001`
`st_e03`	`0.1600`	`0.0100`	`16.000`	`-1161.33660237`	`-1161.33660236`
`st_e06`	`0.0100`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_e07`	`0.0000`	`0.0000`	`---`	`-400.00000000`	`-400.00000000`
`st_e09`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_e10`	`0.0000`	`0.0000`	`---`	`-16.73889318`	`-16.73889318`
`st_e17`	`0.0000`	`0.0000`	`---`	`376.29193233`	`376.29193221`
`st_e19`	`0.0000`	`0.0000`	`---`	`11.00000000`	`11.00000000`
`st_e20`	`0.0000`	`0.0100`	`---`	`-0.38881143`	`-0.38881143`
`st_e22`	`0.0100`	`0.0100`	`---`	`-68.00000000`	`-85.00000000`
`st_e23`	`0.0000`	`0.0000`	`---`	`-1.00520833`	`-1.00000000`
`st_e24`	`0.0100`	`0.0000`	`---`	`4.00000000`	`4.00000000`
`st_e25`	`0.0000`	`0.0000`	`---`	`0.89019359`	`0.89019359`
`st_e26`	`0.0000`	`0.0000`	`---`	`-185.77920000`	`-185.77920000`
`st_e28`	`0.0100`	`0.0000`	`---`	`-30665.53853986`	`-30665.53740549`
`st_e33`	`0.0000`	`0.0000`	`---`	`-400.00000000`	`-400.00000000`
`st_e34`	`0.0000`	`0.0000`	`---`	`0.01563071`	`0.01561953`
`st_e37`	`0.0000`	`0.0000`	`---`	`0.01583938`	`0.01583938`
`st_e39`	`0.0000`	`0.0000`	`---`	`-10.08600150`	`-5.06543974`
`st_e41`	`0.0000`	`0.0100`	`---`	`641.82354297`	`641.82307603`
`st_e42`	`0.0000`	`0.0000`	`---`	`18.78420000`	`18.78420000`
`st_fp1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_fp2`	`0.0000`	`0.0000`	`---`	`-213.00000000`	`-213.00000000`
`st_fp3`	`0.0000`	`0.0000`	`---`	`-10.10937500`	`-10.10937500`
`st_fp4`	`0.0000`	`0.0000`	`---`	`-11.00000000`	`-11.00000000`
`st_fp5`	`0.0000`	`0.0000`	`---`	`-268.01463154`	`-268.01463154`
`st_fp6`	`0.0000`	`0.0000`	`---`	`-21.12500000`	`-21.12500000`
`st_fp7a`	`0.0100`	`0.0100`	`---`	`1.47958635`	`1.47958635`
`st_fp7b`	`0.0200`	`0.0000`	`---`	`-474.20331527`	`-488.71157911`
`st_fp7c`	`0.0200`	`0.0000`	`---`	`-5484.06630542`	`-5774.23158221`
`st_fp7d`	`0.0100`	`0.0000`	`---`	`6.55405444`	`6.55405444`
`st_fp7e`	`0.0100`	`0.0000`	`---`	`12.75070976`	`12.75070976`
`st_fp8`	`0.1300`	`0.0000`	`+INF.000`	`15990.00000000`	`20560.00000000`
`st_glmp_fp1`	`0.0000`	`0.0000`	`---`	`20.00000000`	`20.00000000`
`st_glmp_fp2`	`0.0000`	`0.0000`	`---`	`7.62750000`	`7.62750000`
`st_glmp_fp3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_glmp_kk90`	`0.0000`	`0.0000`	`---`	`4.00000000`	`4.00000000`
`st_glmp_kk92`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_glmp_kky`	`0.0000`	`0.0000`	`---`	`-2.50000000`	`1.50000000`
`st_glmp_ss1`	`0.0000`	`0.0000`	`---`	`-24.57142857`	`-24.57142857`
`st_glmp_ss2`	`0.0000`	`0.0100`	`---`	`3.00000000`	`8.25000000`
`st_ht`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_iqpbk1`	`0.0000`	`0.0000`	`---`	`-621.48782500`	`-621.48782500`
`st_iqpbk2`	`0.0000`	`0.0000`	`---`	`-1195.22565006`	`-1195.22565000`
`st_jcbpaf2`	`0.0100`	`0.0000`	`---`	`-480.66170799`	`-480.66170799`
`st_jcbpafex`	`0.0000`	`0.0000`	`---`	`-1.00520833`	`-1.00000000`
`st_kr`	`0.0000`	`0.0000`	`---`	`-68.00000000`	`-85.00000000`
`st_m1`	`0.0200`	`0.0000`	`---`	`-461356.93887881`	`-461356.93887879`
`st_m2`	`0.1200`	`0.0100`	`12.000`	`-856648.81868599`	`-856648.81868507`
`st_pan1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_pan2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph10`	`0.0000`	`0.0000`	`---`	`-10.50000000`	`-10.50000000`
`st_ph11`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph12`	`0.0100`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_ph13`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph14`	`0.0000`	`0.0000`	`---`	`-215.12500000`	`-215.12500000`
`st_ph15`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph2`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_ph20`	`0.0100`	`0.0000`	`---`	`-158.00000000`	`-158.00000000`
`st_ph3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_phex`	`0.0100`	`0.0000`	`---`	`-68.00000000`	`-85.00000000`
`st_qpc-m0`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m1`	`0.0000`	`0.0000`	`---`	`-473.77777778`	`-473.77777778`
`st_qpc-m3a`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m3b`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpc-m4`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpk1`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_qpk2`	`0.0000`	`0.0100`	`---`	`0.00000000`	`0.00000000`
`st_qpk3`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`st_rv1`	`0.0000`	`0.0000`	`---`	`-59.90434506`	`-59.90434506`
`st_rv2`	`0.0100`	`0.0000`	`---`	`-64.48069510`	`-64.48069510`
`st_rv3`	`0.0100`	`0.0000`	`---`	`-35.76067064`	`-35.76067064`
`st_rv7`	`0.0500`	`0.0100`	`5.000`	`-138.18749713`	`-138.09249914`
`st_rv8`	`0.1600`	`0.0100`	`16.000`	`-132.66162896`	`-132.66162896`
`st_rv9`	`0.2300`	`0.0100`	`23.000`	`-118.97521560`	`-117.58869438`
`st_z`	`0.0000`	`0.0000`	`---`	`0.00000000`	`0.00000000`
`wall`	`0.0000`	`0.0100`	`---`	`1.00000466`	`1.00000466`
`weapons`	`0.5200`	`0.0300`	`17.333`	`-1735.56957985`	`-1735.56957986`

DONLP2: locally optimal -- SNOPT: feasible Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Obj (DONLP2)	Obj (SNOPT)
`ex6_2_10`	`0.0000`	`0.0000`	`---`	`-3.05197611`	`-3.05197611`
`ex8_4_6`	`0.0400`	`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_6`	`0.0000`	`0.0000`	`---`	`0.00000099`	`0.40337355`

DONLP2: locally optimal -- SNOPT: infeasible Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Obj (DONLP2)	Status (SNOPT)
`ex5_3_2`	`0.0300`	`0.0000`	---	`1.86415946`	`mstat( 5) sstat( 1)`
`ex5_4_3`	`0.0700`	`0.0000`	---	`5937.43734771`	`mstat( 5) sstat( 1)`
`st_e16`	`0.0200`	`0.0000`	---	`13680.79099419`	`mstat( 5) sstat( 1)`

DONLP2: locally optimal -- SNOPT: fail Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Obj (DONLP2)	Status (SNOPT)
`ex8_4_5`	`0.0200`	`0.0100`	---	`0.00122530`	`mstat( 6) sstat( 4)`
`ex8_4_8`	`6.5400`	`0.0000`	---	`3.36834790`	`mstat( 6) sstat( 5)`

DONLP2: feasible -- SNOPT: locally optimal Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Obj (DONLP2)	Obj (SNOPT)
`ex8_3_13`	`0.7300`	`0.0100`	`73.000`	`0.00000000`	`0.00000000`
`st_e05`	`0.2400`	`0.0100`	`24.000`	`7656.33922876`	`7049.24927240`

DONLP2: feasible -- SNOPT: feasible Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Obj (DONLP2)	Obj (SNOPT)
`ex8_2_1`	`0.3100`	`0.0100`	`31.000`	`-140191.72358596`	`-32.91232426`

DONLP2: feasible -- SNOPT: infeasible Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Obj (DONLP2)	Status (SNOPT)
`ex5_3_3`	`103.0700`	`0.0000`	---	`0.00000000`	`mstat( 5) sstat( 1)`

DONLP2: infeasible -- SNOPT: locally optimal Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Status (DONLP2)	Obj (SNOPT)
`bayes2_30`	`14.1300`	`0.0600`	---	`mstat( 5) sstat( 1)`	`0.25133100`
`bearing`	`0.0200`	`0.0100`	---	`mstat( 5) sstat( 1)`	`1.95170659`
`btest14`	`173.3000`	`0.0300`	---	`mstat( 5) sstat( 1)`	`31.97751380`
`camcge`	`13.8900`	`0.0200`	---	`mstat( 5) sstat( 1)`	`-191.73462424`
`camshape100`	`70.0000`	`0.0300`	---	`mstat( 5) sstat( 1)`	`-4.28408877`
`chenery`	`0.6800`	`0.0300`	---	`mstat( 5) sstat( 1)`	`-1058.91994457`
`ex6_2_14`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`-0.69535793`
`ex6_2_5`	`0.0100`	`0.0100`	---	`mstat( 5) sstat( 1)`	`-70.75207783`
`ex8_3_10`	`0.9900`	`0.0500`	---	`mstat( 5) sstat( 1)`	`-0.03596508`
`ex8_3_7`	`0.6800`	`0.1000`	---	`mstat( 5) sstat( 1)`	`-1.12360839`
`ex8_3_8`	`1.1900`	`3.3900`	---	`mstat( 5) sstat( 1)`	`-3.23574263`
`ex9_1_4`	`0.0100`	`0.0000`	---	`mstat( 5) sstat( 1)`	`-37.00000000`
`gtm`	`0.8400`	`0.0000`	---	`mstat( 5) sstat( 1)`	`543.56509479`
`launch`	`4.5700`	`0.0000`	---	`mstat( 5) sstat( 1)`	`2257.79755763`
`st_robot`	`0.0100`	`0.0000`	---	`mstat( 5) sstat( 1)`	`0.00000000`
`worst`	`0.1600`	`0.0000`	---	`mstat( 5) sstat( 1)`	`20762609.21087110`

DONLP2: infeasible -- SNOPT: feasible Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Status (DONLP2)	Obj (SNOPT)
`ex8_2_4`	`1.2400`	`0.3200`	---	`mstat( 5) sstat( 1)`	`-3436.56104883`
`ex8_5_3`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`1.86891942`
`ex8_5_4`	`0.0000`	`0.0100`	---	`mstat( 5) sstat( 1)`	`0.33137926`

DONLP2: infeasible -- SNOPT: infeasible Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Status (DONLP2)	Status (SNOPT)
`ex7_3_6`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e02`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e08`	`0.0100`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e18`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`
`st_e30`	`0.0000`	`0.0000`	---	`mstat( 5) sstat( 1)`	`mstat( 5) sstat( 1)`

DONLP2: infeasible -- SNOPT: fail Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Status (DONLP2)	Status (SNOPT)
`ex8_3_14`	`23.4600`	`0.0300`	---	`mstat( 5) sstat( 1)`	`mstat( 6) sstat( 5)`

DONLP2: fail -- SNOPT: locally optimal Back to top

Modelname	Time (DONLP2)	Time (SNOPT)	Ratio (DONLP2/SNOPT)	Status (DONLP2)	Obj (SNOPT)
`st_e04`	`0.0000`	`0.0000`	---	`mstat(13) sstat( 5)`	`5194.86624420`
`st_e11`	`0.0000`	`0.0000`	---	`mstat(13) sstat( 5)`	`189.31162969`
`st_e12`	`0.0000`	`0.0000`	---	`mstat(13) sstat( 5)`	`0.00000000`
`st_e21`	`0.0000`	`0.0000`	---	`mstat(13) sstat( 5)`	`0.00000000`

DONLP2: locally optimal: Back to top

Modelname	Time (DONLP2)	Obj (DONLP2)
`abel`	`0.0100`	`225.19458319`
`alkyl`	`0.0100`	`-1.76499965`
`bayes2_10`	`3.9900`	`0.34611763`
`bayes2_20`	`12.1200`	`2.30381075`
`bayes2_50`	`34.7200`	`62.41224048`
`chain100`	`6.4300`	`5.06978589`
`chain25`	`0.9400`	`5.07226254`
`chain50`	`0.9300`	`5.07226254`
`chakra`	`0.1900`	`-179.13355786`
`chance`	`0.0000`	`29.89437816`
`chem`	`0.0100`	`-47.70651483`
`circle`	`0.0000`	`4.57424779`
`demo7`	`0.9600`	`-56.05695926`
`dispatch`	`0.0000`	`3155.28792744`
`elec100`	`19.5500`	`4448.41042092`
`elec25`	`0.3700`	`243.81276064`
`elec50`	`3.5300`	`1055.18231482`
`etamac`	`2.6400`	`-15.29467563`
`ex14_1_1`	`0.0000`	`0.00000000`
`ex14_1_2`	`0.0000`	`0.93023230`
`ex14_1_3`	`0.0100`	`0.00000000`
`ex14_1_4`	`0.0000`	`0.00000000`
`ex14_1_5`	`0.0000`	`0.00000000`
`ex14_1_6`	`0.0100`	`1.00000000`
`ex14_1_7`	`0.0100`	`7.04274947`
`ex14_1_8`	`0.0000`	`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`	`0.0100`	`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`	`0.0000`	`0.00000000`
`ex2_1_1`	`0.0000`	`-17.00000000`
`ex2_1_10`	`0.0200`	`49318.01795841`
`ex2_1_2`	`0.0000`	`-213.00000000`
`ex2_1_3`	`0.0000`	`-15.00000000`
`ex2_1_4`	`0.0000`	`-11.00000000`
`ex2_1_5`	`0.0100`	`-268.01463154`
`ex2_1_6`	`0.0000`	`-39.00000000`
`ex2_1_7`	`0.0000`	`-4150.41013393`
`ex2_1_8`	`0.0800`	`15639.00000002`
`ex2_1_9`	`0.0000`	`-0.37500000`
`ex3_1_1`	`0.0000`	`7049.24802053`
`ex3_1_2`	`0.0000`	`-30665.52537878`
`ex3_1_3`	`0.0000`	`-310.00000000`
`ex3_1_4`	`0.0100`	`-4.00000000`
`ex4_1_1`	`0.0000`	`-7.48731236`
`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`	`0.0000`	`0.00000000`
`ex5_2_2_case3`	`0.0200`	`-750.00000000`
`ex5_2_4`	`0.0000`	`-449.99979022`
`ex5_2_5`	`0.2300`	`-3500.00000000`
`ex5_3_2`	`0.0300`	`1.86415946`
`ex5_4_2`	`0.0300`	`7512.23014450`
`ex5_4_3`	`0.0700`	`5937.43734771`
`ex5_4_4`	`0.1800`	`12138.88262814`
`ex6_1_1`	`0.0000`	`-0.02019821`
`ex6_1_2`	`0.0000`	`-0.03246375`
`ex6_1_3`	`0.0000`	`-0.35249757`
`ex6_1_4`	`0.0000`	`-0.29454122`
`ex6_2_10`	`0.0000`	`-3.05197611`
`ex6_2_11`	`0.0000`	`-0.00000267`
`ex6_2_12`	`0.0000`	`0.28919502`
`ex6_2_13`	`0.0000`	`-0.21620944`
`ex6_2_6`	`0.0000`	`0.00000071`
`ex6_2_7`	`0.0100`	`-0.16084762`
`ex6_2_8`	`0.0000`	`-0.02700635`
`ex6_2_9`	`0.0000`	`-0.03406229`
`ex7_2_1`	`0.0100`	`1227.19696931`
`ex7_2_2`	`0.0100`	`-0.38881143`
`ex7_2_3`	`0.0000`	`7049.24802053`
`ex7_2_4`	`0.0000`	`3.91801023`
`ex7_3_1`	`0.0300`	`0.34173955`
`ex7_3_2`	`0.0000`	`1.08986385`
`ex7_3_3`	`0.0000`	`1.14477978`
`ex7_3_4`	`0.0100`	`10.00000000`
`ex7_3_5`	`0.0100`	`1.20689618`
`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`	`-10.08600150`
`ex8_1_7`	`0.0100`	`0.02931113`
`ex8_1_8`	`0.0100`	`-0.38881143`
`ex8_3_1`	`44.4600`	`-0.74108813`
`ex8_3_11`	`0.3900`	`-0.01550236`
`ex8_3_12`	`1.2100`	`0.00000000`
`ex8_3_2`	`14.4600`	`-0.33132667`
`ex8_3_3`	`14.0400`	`-0.33303463`
`ex8_3_4`	`54.2100`	`-3.55501797`
`ex8_3_5`	`13.2200`	`-0.06265070`
`ex8_3_6`	`0.4700`	`-0.32582584`
`ex8_3_9`	`0.0400`	`-0.74161985`
`ex8_4_1`	`0.0000`	`0.61857276`
`ex8_4_2`	`0.0000`	`0.48515249`
`ex8_4_3`	`0.1300`	`0.00464972`
`ex8_4_4`	`0.0000`	`0.21245984`
`ex8_4_5`	`0.0200`	`0.00122530`
`ex8_4_6`	`0.0400`	`0.00110498`
`ex8_4_7`	`0.9400`	`29.04730672`
`ex8_4_8`	`6.5400`	`3.36834790`
`ex8_5_1`	`0.0000`	`-0.00000041`
`ex8_5_2`	`0.0100`	`-0.00000001`
`ex8_5_5`	`0.0000`	`0.00000066`
`ex8_5_6`	`0.0000`	`0.00000099`
`ex8_6_1`	`1.0700`	`-26.48390905`
`ex8_6_2`	`0.0500`	`-31.68816282`
`ex9_1_1`	`0.0000`	`-13.00000000`
`ex9_1_10`	`0.0100`	`-3.25000000`
`ex9_1_2`	`0.0100`	`-16.00000000`
`ex9_1_5`	`0.0000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`-3.25000000`
`ex9_2_1`	`0.0000`	`17.00000000`
`ex9_2_2`	`0.0100`	`99.97318526`
`ex9_2_3`	`0.0100`	`5.00000000`
`ex9_2_4`	`0.0100`	`0.50000085`
`ex9_2_5`	`0.0100`	`8.99999955`
`ex9_2_6`	`0.0100`	`-0.99999897`
`ex9_2_7`	`0.0100`	`17.00000000`
`ex9_2_8`	`0.0000`	`1.50000000`
`harker`	`0.0100`	`-986.51348396`
`haverly`	`0.0200`	`-400.00000000`
`hhfair`	`0.0700`	`-87.15903083`
`himmel11`	`0.0000`	`-30665.53853986`
`himmel16`	`0.0100`	`-0.67498144`
`house`	`0.0000`	`-4500.00000000`
`hydro`	`0.0800`	`4366944.15980141`
`immun`	`0.0200`	`0.00000000`
`korcge`	`1.1800`	`-339.21302802`
`least`	`0.0000`	`14085.13984893`
`like`	`0.0000`	`1138.41056445`
`lnts50`	`22.3300`	`0.55474107`
`meanvar`	`0.0000`	`5.24339907`
`mhw4d`	`0.0000`	`27.87190522`
`minlphi`	`0.0200`	`582.23614204`
`otpop`	`0.7400`	`0.00000000`
`pindyck`	`2.6400`	`-1170.48628543`
`pollut`	`0.8600`	`-5353268.62874511`
`process`	`0.0100`	`-1161.33660236`
`prolog`	`0.0100`	`679.32207124`
`qp1`	`0.2300`	`0.00080932`
`qp2`	`0.1900`	`0.00080932`
`qp3`	`0.9300`	`0.00080932`
`qp4`	`0.4800`	`0.00080932`
`qp5`	`1.7400`	`0.43149977`
`ramsey`	`0.0300`	`-2.48745812`
`rbrock`	`0.0000`	`0.00000000`
`sambal`	`0.0200`	`3.96822036`
`sample`	`0.0000`	`726.67935779`
`ship`	`0.0100`	`5.62508015`
`srcpm`	`0.0400`	`2109.78183276`
`st_bpaf1a`	`0.0100`	`-45.37971016`
`st_bpaf1b`	`0.0100`	`-42.96255760`
`st_bpk1`	`0.0000`	`-10.00000000`
`st_bpk2`	`0.0000`	`-10.00000000`
`st_bpv1`	`0.0000`	`10.00000000`
`st_bpv2`	`0.0000`	`0.00000000`
`st_bsj2`	`0.0000`	`1.00000000`
`st_bsj3`	`0.0000`	`-34843.05000000`
`st_bsj4`	`0.0000`	`-70262.05000000`
`st_cqpf`	`0.0000`	`-2.75000000`
`st_cqpjk1`	`0.0000`	`-12.44443993`
`st_cqpjk2`	`0.0000`	`-12.50000000`
`st_e01`	`0.0000`	`-4.00000000`
`st_e03`	`0.1600`	`-1161.33660237`
`st_e06`	`0.0100`	`0.00000000`
`st_e07`	`0.0000`	`-400.00000000`
`st_e09`	`0.0000`	`0.00000000`
`st_e10`	`0.0000`	`-16.73889318`
`st_e16`	`0.0200`	`13680.79099419`
`st_e17`	`0.0000`	`376.29193233`
`st_e19`	`0.0000`	`11.00000000`
`st_e20`	`0.0000`	`-0.38881143`
`st_e22`	`0.0100`	`-68.00000000`
`st_e23`	`0.0000`	`-1.00520833`
`st_e24`	`0.0100`	`4.00000000`
`st_e25`	`0.0000`	`0.89019359`
`st_e26`	`0.0000`	`-185.77920000`
`st_e28`	`0.0100`	`-30665.53853986`
`st_e33`	`0.0000`	`-400.00000000`
`st_e34`	`0.0000`	`0.01563071`
`st_e37`	`0.0000`	`0.01583938`
`st_e39`	`0.0000`	`-10.08600150`
`st_e41`	`0.0000`	`641.82354297`
`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`	`0.0200`	`-474.20331527`
`st_fp7c`	`0.0200`	`-5484.06630542`
`st_fp7d`	`0.0100`	`6.55405444`
`st_fp7e`	`0.0100`	`12.75070976`
`st_fp8`	`0.1300`	`15990.00000000`
`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`	`-2.50000000`
`st_glmp_ss1`	`0.0000`	`-24.57142857`
`st_glmp_ss2`	`0.0000`	`3.00000000`
`st_ht`	`0.0000`	`0.00000000`
`st_iqpbk1`	`0.0000`	`-621.48782500`
`st_iqpbk2`	`0.0000`	`-1195.22565006`
`st_jcbpaf2`	`0.0100`	`-480.66170799`
`st_jcbpafex`	`0.0000`	`-1.00520833`
`st_kr`	`0.0000`	`-68.00000000`
`st_m1`	`0.0200`	`-461356.93887881`
`st_m2`	`0.1200`	`-856648.81868599`
`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`	`0.0100`	`-158.00000000`
`st_ph3`	`0.0000`	`0.00000000`
`st_phex`	`0.0100`	`-68.00000000`
`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`	`0.0000`	`0.00000000`
`st_qpk3`	`0.0000`	`0.00000000`
`st_rv1`	`0.0000`	`-59.90434506`
`st_rv2`	`0.0100`	`-64.48069510`
`st_rv3`	`0.0100`	`-35.76067064`
`st_rv7`	`0.0500`	`-138.18749713`
`st_rv8`	`0.1600`	`-132.66162896`
`st_rv9`	`0.2300`	`-118.97521560`
`st_z`	`0.0000`	`0.00000000`
`wall`	`0.0000`	`1.00000466`
`weapons`	`0.5200`	`-1735.56957985`

DONLP2: feasible: Back to top

Modelname	Time (DONLP2)	Obj (DONLP2)
`ex5_3_3`	`103.0700`	`0.00000000`
`ex8_2_1`	`0.3100`	`-140191.72358596`
`ex8_3_13`	`0.7300`	`0.00000000`
`st_e05`	`0.2400`	`7656.33922876`

DONLP2: infeasible: Back to top

Modelname	Time (DONLP2)	Status (DONLP2)
`bayes2_30`	`--`	`mstat( 5) sstat( 1)`
`bearing`	`--`	`mstat( 5) sstat( 1)`
`btest14`	`--`	`mstat( 5) sstat( 1)`
`camcge`	`--`	`mstat( 5) sstat( 1)`
`camshape100`	`--`	`mstat( 5) sstat( 1)`
`chenery`	`--`	`mstat( 5) sstat( 1)`
`ex6_2_14`	`--`	`mstat( 5) sstat( 1)`
`ex6_2_5`	`--`	`mstat( 5) sstat( 1)`
`ex7_3_6`	`--`	`mstat( 5) sstat( 1)`
`ex8_2_4`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_10`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_14`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_7`	`--`	`mstat( 5) sstat( 1)`
`ex8_3_8`	`--`	`mstat( 5) sstat( 1)`
`ex8_5_3`	`--`	`mstat( 5) sstat( 1)`
`ex8_5_4`	`--`	`mstat( 5) sstat( 1)`
`ex9_1_4`	`--`	`mstat( 5) sstat( 1)`
`gtm`	`--`	`mstat( 5) sstat( 1)`
`launch`	`--`	`mstat( 5) sstat( 1)`
`st_e02`	`--`	`mstat( 5) sstat( 1)`
`st_e08`	`--`	`mstat( 5) sstat( 1)`
`st_e18`	`--`	`mstat( 5) sstat( 1)`
`st_e30`	`--`	`mstat( 5) sstat( 1)`
`st_robot`	`--`	`mstat( 5) sstat( 1)`
`worst`	`--`	`mstat( 5) sstat( 1)`

DONLP2: fail: Back to top

Modelname	Time (DONLP2)	Status (DONLP2)
`st_e04`	`--`	`mstat(13) sstat( 5)`
`st_e11`	`--`	`mstat(13) sstat( 5)`
`st_e12`	`--`	`mstat(13) sstat( 5)`
`st_e21`	`--`	`mstat(13) sstat( 5)`

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)`