Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 11/15/02 12:53:15

Solver comparison utility.

Compares all solver return outcomes (for example optimal, infeasible, unbounded, interrupt, fail) of one solver with all return outcomes of another solver. Interrupt denotes resource or iteration limit has been reached. Solver ALL/OQNLP is represented on the left (rows) and solver OQNLP/CONOPT on top (columns). See the solver return definitions for return codes.

Tracefile 1 :	`alloqms.txt`
Tracefile 2 :	`OQMSCONOPT.TXT`
Solvers used :	`ALL/OQNLP`
	`OQNLP/CONOPT`
Modeltype(s)	NLP

Result Totals in Percent:

Solver	% models optimal	% models feasible	% models infeasible	% models unbounded	% models fail
ALL/OQNLP	`-`	`100.00`	`-`	`-`	`-`
OQNLP/CONOPT	`-`	`97.98`	`-`	`-`	`2.02`

Result Totals in Number of Models:

	optimal	feasible	infeasible	unbounded	fail	total ALL/OQNLP
optimal	-	-	-	-	-	`-`
feasible	-	`97`	-	-	`2`	`99`
infeasible	-	-	-	-	-	`-`
unbounded	-	-	-	-	-	`-`
fail	-	-	-	-	-	`-`
total OQNLP/CONOPT	`-`	`97`	`-`	`-`	`2`	`99`

Solver return definitions:

Outcome	Model Status	Solver Status
optimal	1 or 15	1
feasible	2 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 in seconds, as well as the ratio of resource times for the two solvers if both solved optimally.
Also listed are the objective values 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-06.
Solver resource time ratios for a particular model are listed only if one solver has resource greater than 5.00E-02.

ALL/OQNLP: feas -- OQNLP/CONOPT: feas Back to top

Modelname	ALL/OQNLP	OQNLP/CONOPT	Ratio (ALL/OQNLP/OQNLP/CONOPT)	Obj (ALL/OQNLP)	Obj (OQNLP/CONOPT)
`EX14_1_1`	`0.9380`	`1.1410`	`0.822`	`0.00000000`	`0.00000000`
`EX14_1_2`	`0.6880`	`0.8430`	`0.816`	`0.00000000`	`0.00000000`
`EX14_1_3`	`0.4060`	`0.5160`	`0.787`	`0.00000000`	`0.00000000`
`EX14_1_5`	`0.3440`	`0.4840`	`0.711`	`0.00000000`	`0.00000000`
`EX14_1_6`	`0.4220`	`0.6250`	`0.675`	`0.00000000`	`0.00000000`
`EX14_1_7`	`0.5150`	`0.5940`	`0.867`	`0.13499021`	`0.13499021`
`EX14_1_8`	`0.6090`	`0.6880`	`0.885`	`0.00000000`	`0.00000000`
`EX14_1_9`	`0.2660`	`0.3280`	`0.811`	`0.00000000`	`0.00000000`
`EX14_2_1`	`0.5000`	`0.6880`	`0.727`	`0.00000000`	`0.00000000`
`EX14_2_2`	`0.3280`	`0.4530`	`0.724`	`0.00000000`	`0.00000000`
`EX14_2_3`	`0.7340`	`0.8430`	`0.871`	`0.00000000`	`0.00000000`
`EX14_2_4`	`0.6250`	`0.8280`	`0.755`	`0.00000000`	`0.00000000`
`EX14_2_5`	`0.3440`	`0.5310`	`0.648`	`0.00000000`	`0.00000000`
`EX14_2_6`	`0.6100`	`0.7500`	`0.813`	`0.00000000`	`0.00000000`
`EX14_2_7`	`0.8900`	`1.0310`	`0.863`	`0.00000000`	`0.00000000`
`EX14_2_8`	`0.3900`	`0.4530`	`0.861`	`0.00000000`	`0.00000000`
`EX14_2_9`	`0.3900`	`0.4690`	`0.832`	`0.00000000`	`0.00000000`
`EX2_1_1`	`1.0630`	`1.5000`	`0.709`	`-17.00000000`	`-17.00000000`
`EX2_1_10`	`0.8750`	`1.0630`	`0.823`	`49318.01795841`	`49318.01795841`
`EX2_1_2`	`0.6880`	`0.9850`	`0.698`	`-213.00000000`	`-213.00000000`
`EX2_1_3`	`0.6400`	`0.8280`	`0.773`	`-15.00000000`	`-15.00000000`
`EX2_1_4`	`0.6400`	`0.9060`	`0.706`	`-11.00000000`	`-11.00000000`
`EX2_1_5`	`1.1560`	`1.5000`	`0.771`	`-268.01463154`	`-268.01463154`
`EX2_1_6`	`0.9530`	`1.2810`	`0.744`	`-39.00000000`	`-39.00000000`
`EX2_1_7`	`0.8590`	`1.0620`	`0.809`	`-4150.41013393`	`-4150.41013393`
`EX2_1_8`	`2.9840`	`2.2180`	`1.345`	`15639.00000000`	`15990.00000000`
`EX2_1_9`	`0.9530`	`1.2500`	`0.762`	`-0.37500000`	`-0.37500000`
`EX3_1_1`	`0.8750`	`1.0620`	`0.824`	`7049.24801988`	`7049.24802053`
`EX3_1_2`	`1.0930`	`1.3280`	`0.823`	`-30665.53867178`	`-30665.53867178`
`EX3_1_3`	`0.4680`	`0.6090`	`0.768`	`-310.00000000`	`-310.00000000`
`EX3_1_4`	`0.7970`	`1.0310`	`0.773`	`-4.00000000`	`-4.00000000`
`EX4_1_1`	`0.7030`	`1.0150`	`0.693`	`-7.48731236`	`-7.48731236`
`EX4_1_2`	`0.7810`	`1.0000`	`0.781`	`-663.50009661`	`-663.50009661`
`EX4_1_3`	`0.6880`	`0.8900`	`0.773`	`-443.67170474`	`-443.67170474`
`EX4_1_4`	`0.8430`	`1.1100`	`0.759`	`0.00000000`	`0.00000000`
`EX4_1_5`	`4.0150`	`6.7350`	`0.596`	`-8.8333333313330E+19`	`0.00000000`
`EX4_1_6`	`0.5930`	`0.8440`	`0.703`	`7.00000000`	`7.00000000`
`EX4_1_7`	`0.8900`	`1.1560`	`0.770`	`-7.50000000`	`-7.50000000`
`EX4_1_8`	`0.4060`	`0.5150`	`0.788`	`-16.73889318`	`-16.73889318`
`EX4_1_9`	`0.8440`	`1.0620`	`0.795`	`-5.50801327`	`-5.50801327`
`EX5_2_2_CASE1`	`0.6720`	`0.7190`	`0.935`	`-400.00000000`	`-400.00000000`
`EX5_2_2_CASE2`	`1.3910`	`1.8600`	`0.748`	`0.00000000`	`0.00000000`
`EX5_2_2_CASE3`	`0.5780`	`0.6410`	`0.902`	`-750.00000000`	`-750.00000000`
`EX5_2_4`	`0.4840`	`0.5780`	`0.837`	`-450.00000000`	`-450.00000000`
`EX5_2_5`	`4.1410`	`4.1410`	`1.000`	`-3500.00000000`	`-3500.00000000`
`EX5_3_2`	`1.1100`	`1.5940`	`0.696`	`1.86415946`	`1.86415946`
`EX5_3_3`	`5.6250`	`9.7970`	`0.574`	`3.23401822`	`3.23401822`
`EX5_4_2`	`0.6710`	`0.6710`	`1.000`	`7512.23014450`	`7512.23014450`
`EX5_4_3`	`1.0930`	`1.2500`	`0.874`	`4845.46200496`	`4845.46200496`
`EX5_4_4`	`3.6880`	`6.0310`	`0.612`	`10077.77540384`	`10077.77540384`
`EX6_1_1`	`0.6560`	`0.8600`	`0.763`	`-0.02019831`	`-0.02019831`
`EX6_1_2`	`1.2180`	`1.6250`	`0.750`	`-0.03246375`	`-0.03246375`
`EX6_1_3`	`0.6100`	`0.7500`	`0.813`	`-0.35249770`	`-0.35249780`
`EX6_1_4`	`0.5780`	`0.7810`	`0.740`	`-0.29454129`	`-0.29454129`
`EX6_2_10`	`1.0160`	`1.2340`	`0.823`	`-3.05197613`	`-3.05197613`
`EX6_2_11`	`0.5310`	`0.6560`	`0.809`	`-0.00000267`	`-0.00000267`
`EX6_2_12`	`0.7180`	`0.8120`	`0.884`	`0.28919475`	`0.28919475`
`EX6_2_13`	`2.2970`	`2.4690`	`0.930`	`-0.21620944`	`-0.21620944`
`EX6_2_14`	`0.7810`	`1.1410`	`0.684`	`-0.69535802`	`-0.69535793`
`EX6_2_5`	`1.2190`	`1.5310`	`0.796`	`-70.75207783`	`-70.75207783`
`EX6_2_7`	`1.0000`	`1.1710`	`0.854`	`-0.16084762`	`-0.16084762`
`EX6_2_8`	`0.7500`	`1.1400`	`0.658`	`-0.02700635`	`-0.02700635`
`EX6_2_9`	`0.8130`	`1.0000`	`0.813`	`-0.03406618`	`-0.03406618`
`EX7_2_1`	`4.6560`	`2.9210`	`1.594`	`1227.21419311`	`1227.22607572`
`EX7_2_2`	`0.9680`	`2.6400`	`0.367`	`-0.38881143`	`-0.38881143`
`EX7_2_3`	`0.7500`	`0.9530`	`0.787`	`7049.24843970`	`7049.24802053`
`EX7_2_4`	`3.8440`	`5.3590`	`0.717`	`3.91801023`	`3.91801023`
`EX7_3_2`	`0.3440`	`0.4690`	`0.733`	`1.08986390`	`1.08986397`
`EX7_3_3`	`2.1560`	`2.6410`	`0.816`	`1.14477980`	`1.14477980`
`EX7_3_4`	`0.7190`	`0.9530`	`0.754`	`10.00000000`	`10.00000000`
`EX7_3_5`	`1.0310`	`1.0310`	`1.000`	`0.00000000`	`0.00000000`
`EX8_1_1`	`0.9060`	`1.2810`	`0.707`	`-2.02180678`	`-2.02180678`
`EX8_1_2`	`0.9370`	`1.3600`	`0.689`	`-1.07086102`	`-1.07086102`
`EX8_1_3`	`1.1560`	`1.3750`	`0.841`	`30.00000000`	`30.00000000`
`EX8_1_7`	`2.1400`	`2.9850`	`0.717`	`0.02931083`	`0.02931083`
`EX8_1_8`	`0.8440`	`2.5780`	`0.327`	`-0.38881143`	`-0.38881143`
`EX8_3_6`	`4.4060`	`8.2500`	`0.534`	`-10000.00000000`	`-0.50000000`
`EX8_3_9`	`15.5780`	`15.5780`	`1.000`	`-0.76300193`	`-0.76300193`
`EX8_4_1`	`1.6090`	`2.0780`	`0.774`	`0.61857276`	`0.61857276`
`EX8_4_2`	`2.7350`	`3.4060`	`0.803`	`0.48515249`	`0.48515249`
`EX8_4_3`	`4.4380`	`4.8440`	`0.916`	`0.00464972`	`0.00464972`
`EX8_4_4`	`1.1710`	`1.5000`	`0.781`	`0.21245984`	`0.21245984`
`EX8_4_5`	`1.2810`	`1.3910`	`0.921`	`0.00030749`	`0.00030749`
`EX8_4_6`	`5.0310`	`5.0310`	`1.000`	`0.00110498`	`0.00110498`
`EX8_4_7`	`7.9850`	`8.6400`	`0.924`	`29.04730672`	`29.04730672`
`EX8_4_8`	`2.4690`	`16.5470`	`0.149`	`0.00000000`	`3.32184731`
`EX8_5_1`	`1.1250`	`18.6100`	`0.060`	`-0.51176764`	`-0.00000041`
`EX8_5_3`	`2.0000`	`2.0000`	`1.000`	`-0.00413543`	`-0.00413543`
`EX9_1_4`	`0.4370`	`1.4210`	`0.308`	`-37.00000000`	`-37.00000000`
`EX9_1_5`	`0.4690`	`0.5470`	`0.857`	`-1.00000000`	`-1.00000000`
`EX9_1_8`	`0.4840`	`1.1880`	`0.407`	`-3.25000000`	`-3.25000000`
`EX9_2_1`	`2.5000`	`3.2030`	`0.781`	`16.99999921`	`17.00000000`
`EX9_2_3`	`7.5470`	`7.5470`	`1.000`	`0.00000000`	`0.00000000`
`EX9_2_4`	`1.6090`	`2.1100`	`0.763`	`0.50000000`	`0.50000000`
`EX9_2_6`	`0.4690`	`0.6410`	`0.732`	`-1.00000000`	`-1.00000000`
`EX9_2_7`	`2.4850`	`3.2970`	`0.754`	`16.99999921`	`17.00000000`
`EX9_2_8`	`0.5630`	`0.6250`	`0.901`	`1.50000000`	`1.50000000`

ALL/OQNLP: feas -- OQNLP/CONOPT: f Back to top

Modelname	ALL/OQNLP	OQNLP/CONOPT	Ratio (ALL/OQNLP/OQNLP/CONOPT)	Obj (ALL/OQNLP)	Status (OQNLP/CONOPT)
`EX8_2_1`	`8.7340`	`20.0630`	---	`82.02227807`	`mstat( 6) sstat( 3)`
`EX8_2_4`	`18.9060`	`20.0630`	---	`79.77859605`	`mstat( 6) sstat( 3)`

ALL/OQNLP: feas: Back to top

Modelname	ALL/OQNLP	Obj (ALL/OQNLP)
`EX14_1_1`	`0.9380`	`0.00000000`
`EX14_1_2`	`0.6880`	`0.00000000`
`EX14_1_3`	`0.4060`	`0.00000000`
`EX14_1_5`	`0.3440`	`0.00000000`
`EX14_1_6`	`0.4220`	`0.00000000`
`EX14_1_7`	`0.5150`	`0.13499021`
`EX14_1_8`	`0.6090`	`0.00000000`
`EX14_1_9`	`0.2660`	`0.00000000`
`EX14_2_1`	`0.5000`	`0.00000000`
`EX14_2_2`	`0.3280`	`0.00000000`
`EX14_2_3`	`0.7340`	`0.00000000`
`EX14_2_4`	`0.6250`	`0.00000000`
`EX14_2_5`	`0.3440`	`0.00000000`
`EX14_2_6`	`0.6100`	`0.00000000`
`EX14_2_7`	`0.8900`	`0.00000000`
`EX14_2_8`	`0.3900`	`0.00000000`
`EX14_2_9`	`0.3900`	`0.00000000`
`EX2_1_1`	`1.0630`	`-17.00000000`
`EX2_1_10`	`0.8750`	`49318.01795841`
`EX2_1_2`	`0.6880`	`-213.00000000`
`EX2_1_3`	`0.6400`	`-15.00000000`
`EX2_1_4`	`0.6400`	`-11.00000000`
`EX2_1_5`	`1.1560`	`-268.01463154`
`EX2_1_6`	`0.9530`	`-39.00000000`
`EX2_1_7`	`0.8590`	`-4150.41013393`
`EX2_1_8`	`2.9840`	`15639.00000000`
`EX2_1_9`	`0.9530`	`-0.37500000`
`EX3_1_1`	`0.8750`	`7049.24801988`
`EX3_1_2`	`1.0930`	`-30665.53867178`
`EX3_1_3`	`0.4680`	`-310.00000000`
`EX3_1_4`	`0.7970`	`-4.00000000`
`EX4_1_1`	`0.7030`	`-7.48731236`
`EX4_1_2`	`0.7810`	`-663.50009661`
`EX4_1_3`	`0.6880`	`-443.67170474`
`EX4_1_4`	`0.8430`	`0.00000000`
`EX4_1_5`	`4.0150`	`-8.8333333313330E+19`
`EX4_1_6`	`0.5930`	`7.00000000`
`EX4_1_7`	`0.8900`	`-7.50000000`
`EX4_1_8`	`0.4060`	`-16.73889318`
`EX4_1_9`	`0.8440`	`-5.50801327`
`EX5_2_2_CASE1`	`0.6720`	`-400.00000000`
`EX5_2_2_CASE2`	`1.3910`	`0.00000000`
`EX5_2_2_CASE3`	`0.5780`	`-750.00000000`
`EX5_2_4`	`0.4840`	`-450.00000000`
`EX5_2_5`	`4.1410`	`-3500.00000000`
`EX5_3_2`	`1.1100`	`1.86415946`
`EX5_3_3`	`5.6250`	`3.23401822`
`EX5_4_2`	`0.6710`	`7512.23014450`
`EX5_4_3`	`1.0930`	`4845.46200496`
`EX5_4_4`	`3.6880`	`10077.77540384`
`EX6_1_1`	`0.6560`	`-0.02019831`
`EX6_1_2`	`1.2180`	`-0.03246375`
`EX6_1_3`	`0.6100`	`-0.35249770`
`EX6_1_4`	`0.5780`	`-0.29454129`
`EX6_2_10`	`1.0160`	`-3.05197613`
`EX6_2_11`	`0.5310`	`-0.00000267`
`EX6_2_12`	`0.7180`	`0.28919475`
`EX6_2_13`	`2.2970`	`-0.21620944`
`EX6_2_14`	`0.7810`	`-0.69535802`
`EX6_2_5`	`1.2190`	`-70.75207783`
`EX6_2_7`	`1.0000`	`-0.16084762`
`EX6_2_8`	`0.7500`	`-0.02700635`
`EX6_2_9`	`0.8130`	`-0.03406618`
`EX7_2_1`	`4.6560`	`1227.21419311`
`EX7_2_2`	`0.9680`	`-0.38881143`
`EX7_2_3`	`0.7500`	`7049.24843970`
`EX7_2_4`	`3.8440`	`3.91801023`
`EX7_3_2`	`0.3440`	`1.08986390`
`EX7_3_3`	`2.1560`	`1.14477980`
`EX7_3_4`	`0.7190`	`10.00000000`
`EX7_3_5`	`1.0310`	`0.00000000`
`EX8_1_1`	`0.9060`	`-2.02180678`
`EX8_1_2`	`0.9370`	`-1.07086102`
`EX8_1_3`	`1.1560`	`30.00000000`
`EX8_1_7`	`2.1400`	`0.02931083`
`EX8_1_8`	`0.8440`	`-0.38881143`
`EX8_2_1`	`8.7340`	`82.02227807`
`EX8_2_4`	`18.9060`	`79.77859605`
`EX8_3_6`	`4.4060`	`-10000.00000000`
`EX8_3_9`	`15.5780`	`-0.76300193`
`EX8_4_1`	`1.6090`	`0.61857276`
`EX8_4_2`	`2.7350`	`0.48515249`
`EX8_4_3`	`4.4380`	`0.00464972`
`EX8_4_4`	`1.1710`	`0.21245984`
`EX8_4_5`	`1.2810`	`0.00030749`
`EX8_4_6`	`5.0310`	`0.00110498`
`EX8_4_7`	`7.9850`	`29.04730672`
`EX8_4_8`	`2.4690`	`0.00000000`
`EX8_5_1`	`1.1250`	`-0.51176764`
`EX8_5_3`	`2.0000`	`-0.00413543`
`EX9_1_4`	`0.4370`	`-37.00000000`
`EX9_1_5`	`0.4690`	`-1.00000000`
`EX9_1_8`	`0.4840`	`-3.25000000`
`EX9_2_1`	`2.5000`	`16.99999921`
`EX9_2_3`	`7.5470`	`0.00000000`
`EX9_2_4`	`1.6090`	`0.50000000`
`EX9_2_6`	`0.4690`	`-1.00000000`
`EX9_2_7`	`2.4850`	`16.99999921`
`EX9_2_8`	`0.5630`	`1.50000000`

OQNLP/CONOPT: feas: Back to top

Modelname	OQNLP/CONOPT	Obj (OQNLP/CONOPT)
`EX14_1_1`	`1.1410`	`0.00000000`
`EX14_1_2`	`0.8430`	`0.00000000`
`EX14_1_3`	`0.5160`	`0.00000000`
`EX14_1_5`	`0.4840`	`0.00000000`
`EX14_1_6`	`0.6250`	`0.00000000`
`EX14_1_7`	`0.5940`	`0.13499021`
`EX14_1_8`	`0.6880`	`0.00000000`
`EX14_1_9`	`0.3280`	`0.00000000`
`EX14_2_1`	`0.6880`	`0.00000000`
`EX14_2_2`	`0.4530`	`0.00000000`
`EX14_2_3`	`0.8430`	`0.00000000`
`EX14_2_4`	`0.8280`	`0.00000000`
`EX14_2_5`	`0.5310`	`0.00000000`
`EX14_2_6`	`0.7500`	`0.00000000`
`EX14_2_7`	`1.0310`	`0.00000000`
`EX14_2_8`	`0.4530`	`0.00000000`
`EX14_2_9`	`0.4690`	`0.00000000`
`EX2_1_1`	`1.5000`	`-17.00000000`
`EX2_1_10`	`1.0630`	`49318.01795841`
`EX2_1_2`	`0.9850`	`-213.00000000`
`EX2_1_3`	`0.8280`	`-15.00000000`
`EX2_1_4`	`0.9060`	`-11.00000000`
`EX2_1_5`	`1.5000`	`-268.01463154`
`EX2_1_6`	`1.2810`	`-39.00000000`
`EX2_1_7`	`1.0620`	`-4150.41013393`
`EX2_1_8`	`2.2180`	`15639.00000000`
`EX2_1_9`	`1.2500`	`-0.37500000`
`EX3_1_1`	`1.0620`	`7049.24801988`
`EX3_1_2`	`1.3280`	`-30665.53867178`
`EX3_1_3`	`0.6090`	`-310.00000000`
`EX3_1_4`	`1.0310`	`-4.00000000`
`EX4_1_1`	`1.0150`	`-7.48731236`
`EX4_1_2`	`1.0000`	`-663.50009661`
`EX4_1_3`	`0.8900`	`-443.67170474`
`EX4_1_4`	`1.1100`	`0.00000000`
`EX4_1_5`	`6.7350`	`-8.8333333313330E+19`
`EX4_1_6`	`0.8440`	`7.00000000`
`EX4_1_7`	`1.1560`	`-7.50000000`
`EX4_1_8`	`0.5150`	`-16.73889318`
`EX4_1_9`	`1.0620`	`-5.50801327`
`EX5_2_2_CASE1`	`0.7190`	`-400.00000000`
`EX5_2_2_CASE2`	`1.8600`	`0.00000000`
`EX5_2_2_CASE3`	`0.6410`	`-750.00000000`
`EX5_2_4`	`0.5780`	`-450.00000000`
`EX5_2_5`	`4.1410`	`-3500.00000000`
`EX5_3_2`	`1.5940`	`1.86415946`
`EX5_3_3`	`9.7970`	`3.23401822`
`EX5_4_2`	`0.6710`	`7512.23014450`
`EX5_4_3`	`1.2500`	`4845.46200496`
`EX5_4_4`	`6.0310`	`10077.77540384`
`EX6_1_1`	`0.8600`	`-0.02019831`
`EX6_1_2`	`1.6250`	`-0.03246375`
`EX6_1_3`	`0.7500`	`-0.35249770`
`EX6_1_4`	`0.7810`	`-0.29454129`
`EX6_2_10`	`1.2340`	`-3.05197613`
`EX6_2_11`	`0.6560`	`-0.00000267`
`EX6_2_12`	`0.8120`	`0.28919475`
`EX6_2_13`	`2.4690`	`-0.21620944`
`EX6_2_14`	`1.1410`	`-0.69535802`
`EX6_2_5`	`1.5310`	`-70.75207783`
`EX6_2_7`	`1.1710`	`-0.16084762`
`EX6_2_8`	`1.1400`	`-0.02700635`
`EX6_2_9`	`1.0000`	`-0.03406618`
`EX7_2_1`	`2.9210`	`1227.21419311`
`EX7_2_2`	`2.6400`	`-0.38881143`
`EX7_2_3`	`0.9530`	`7049.24843970`
`EX7_2_4`	`5.3590`	`3.91801023`
`EX7_3_2`	`0.4690`	`1.08986390`
`EX7_3_3`	`2.6410`	`1.14477980`
`EX7_3_4`	`0.9530`	`10.00000000`
`EX7_3_5`	`1.0310`	`0.00000000`
`EX8_1_1`	`1.2810`	`-2.02180678`
`EX8_1_2`	`1.3600`	`-1.07086102`
`EX8_1_3`	`1.3750`	`30.00000000`
`EX8_1_7`	`2.9850`	`0.02931083`
`EX8_1_8`	`2.5780`	`-0.38881143`
`EX8_3_6`	`8.2500`	`-10000.00000000`
`EX8_3_9`	`15.5780`	`-0.76300193`
`EX8_4_1`	`2.0780`	`0.61857276`
`EX8_4_2`	`3.4060`	`0.48515249`
`EX8_4_3`	`4.8440`	`0.00464972`
`EX8_4_4`	`1.5000`	`0.21245984`
`EX8_4_5`	`1.3910`	`0.00030749`
`EX8_4_6`	`5.0310`	`0.00110498`
`EX8_4_7`	`8.6400`	`29.04730672`
`EX8_4_8`	`16.5470`	`0.00000000`
`EX8_5_1`	`18.6100`	`-0.51176764`
`EX8_5_3`	`2.0000`	`-0.00413543`
`EX9_1_4`	`1.4210`	`-37.00000000`
`EX9_1_5`	`0.5470`	`-1.00000000`
`EX9_1_8`	`1.1880`	`-3.25000000`
`EX9_2_1`	`3.2030`	`16.99999921`
`EX9_2_3`	`7.5470`	`0.00000000`
`EX9_2_4`	`2.1100`	`0.50000000`
`EX9_2_6`	`0.6410`	`-1.00000000`
`EX9_2_7`	`3.2970`	`16.99999921`
`EX9_2_8`	`0.6250`	`1.50000000`

OQNLP/CONOPT: f: Back to top

Modelname	OQNLP/CONOPT	Status (OQNLP/CONOPT)
`EX8_2_1`	`20.0630`	`mstat( 6) sstat( 3)`
`EX8_2_4`	`20.0630`	`mstat( 6) sstat( 3)`