Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 11/15/02 12:53:16

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 OQNLP/CONOPT is represented on the left (rows) and solver OQNLP/MINOS on top (columns). See the solver return definitions for return codes.

Tracefile 1 :	`OQMSCONOPT.TXT`
Tracefile 2 :	`OQMSMINOS.TXT`
Solvers used :	`OQNLP/CONOPT`
	`OQNLP/MINOS`
Modeltype(s)	NLP

Result Totals in Percent:

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

Result Totals in Number of Models:

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

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

Modelname	OQNLP/CONOPT	OQNLP/MINOS	Ratio (OQNLP/CONOPT/OQNLP/MINOS)	Obj (OQNLP/CONOPT)	Obj (OQNLP/MINOS)
`EX14_1_1`	`1.1410`	`1.0310`	`1.107`	`0.00000000`	`0.00000000`
`EX14_1_2`	`0.8430`	`0.8280`	`1.018`	`0.00000000`	`0.00000000`
`EX14_1_3`	`0.5160`	`0.5000`	`1.032`	`0.00000000`	`0.00000000`
`EX14_1_5`	`0.4840`	`0.3750`	`1.291`	`0.00000000`	`0.00000000`
`EX14_1_6`	`0.6250`	`0.4680`	`1.335`	`0.00000000`	`0.00000000`
`EX14_1_7`	`0.5940`	`0.7190`	`0.826`	`0.13499021`	`0.13499021`
`EX14_1_8`	`0.6880`	`0.6560`	`1.049`	`0.00000000`	`0.00000000`
`EX14_1_9`	`0.3280`	`0.2970`	`1.104`	`0.00000000`	`0.00000000`
`EX14_2_1`	`0.6880`	`0.6100`	`1.128`	`0.00000000`	`0.00000000`
`EX14_2_2`	`0.4530`	`0.3900`	`1.162`	`0.00000000`	`0.00000000`
`EX14_2_3`	`0.8430`	`0.8130`	`1.037`	`0.00000000`	`0.00000000`
`EX14_2_4`	`0.8280`	`0.8440`	`0.981`	`0.00000000`	`0.00000000`
`EX14_2_5`	`0.5310`	`0.4220`	`1.258`	`0.00000000`	`0.00000000`
`EX14_2_6`	`0.7500`	`0.7340`	`1.022`	`0.00000000`	`0.00000000`
`EX14_2_7`	`1.0310`	`0.8910`	`1.157`	`0.00000000`	`0.00000000`
`EX14_2_8`	`0.4530`	`0.5000`	`0.906`	`0.00000000`	`0.00000000`
`EX14_2_9`	`0.4690`	`0.5160`	`0.909`	`0.00000000`	`0.00000000`
`EX2_1_1`	`1.5000`	`1.0630`	`1.411`	`-17.00000000`	`-17.00000000`
`EX2_1_10`	`1.0630`	`0.9530`	`1.115`	`49318.01795841`	`49318.01795841`
`EX2_1_2`	`0.9850`	`0.6880`	`1.432`	`-213.00000000`	`-213.00000000`
`EX2_1_3`	`0.8280`	`0.6400`	`1.294`	`-15.00000000`	`-15.00000000`
`EX2_1_4`	`0.9060`	`0.6400`	`1.416`	`-11.00000000`	`-11.00000000`
`EX2_1_5`	`1.5000`	`1.3120`	`1.143`	`-268.01463154`	`-268.01463154`
`EX2_1_6`	`1.2810`	`0.9530`	`1.344`	`-39.00000000`	`-39.00000000`
`EX2_1_7`	`1.0620`	`0.8590`	`1.236`	`-4150.41013393`	`-4150.41013393`
`EX2_1_8`	`2.2180`	`2.0310`	`1.092`	`15990.00000000`	`20560.00000000`
`EX2_1_9`	`1.2500`	`0.9530`	`1.312`	`-0.37500000`	`-0.37500000`
`EX3_1_1`	`1.0620`	`1.4530`	`0.731`	`7049.24802053`	`7049.24802053`
`EX3_1_2`	`1.3280`	`1.0930`	`1.215`	`-30665.53867178`	`-30665.53867178`
`EX3_1_3`	`0.6090`	`0.5310`	`1.147`	`-310.00000000`	`-310.00000000`
`EX3_1_4`	`1.0310`	`0.8600`	`1.199`	`-4.00000000`	`-4.00000000`
`EX4_1_1`	`1.0150`	`0.8120`	`1.250`	`-7.48731236`	`-7.48731236`
`EX4_1_2`	`1.0000`	`0.7810`	`1.280`	`-663.50009661`	`-663.50009661`
`EX4_1_3`	`0.8900`	`0.7810`	`1.140`	`-443.67170474`	`-443.67170474`
`EX4_1_4`	`1.1100`	`0.8430`	`1.317`	`0.00000000`	`0.00000000`
`EX4_1_5`	`6.7350`	`4.1090`	`1.639`	`0.00000000`	`-8.8333333313334E+19`
`EX4_1_6`	`0.8440`	`0.6880`	`1.227`	`7.00000000`	`7.00000000`
`EX4_1_7`	`1.1560`	`0.9380`	`1.232`	`-7.50000000`	`-7.50000000`
`EX4_1_8`	`0.5150`	`0.5150`	`1.000`	`-16.73889318`	`-16.73889318`
`EX4_1_9`	`1.0620`	`0.8440`	`1.258`	`-5.50801327`	`-5.50801327`
`EX5_2_2_CASE1`	`0.7190`	`0.7340`	`0.980`	`-400.00000000`	`-400.00000000`
`EX5_2_2_CASE2`	`1.8600`	`1.6560`	`1.123`	`0.00000000`	`0.00000000`
`EX5_2_2_CASE3`	`0.6410`	`0.5780`	`1.109`	`-750.00000000`	`-750.00000000`
`EX5_2_4`	`0.5780`	`0.5940`	`0.973`	`-450.00000000`	`-450.00000000`
`EX5_2_5`	`4.1410`	`6.5310`	`0.634`	`-3500.00000000`	`-3500.00000000`
`EX5_3_2`	`1.5940`	`1.2500`	`1.275`	`1.86415946`	`1.86415946`
`EX5_3_3`	`9.7970`	`20.3130`	`0.482`	`3.23401822`	`3.23401822`
`EX5_4_2`	`0.6710`	`0.9220`	`0.728`	`7512.23014450`	`7512.23014450`
`EX5_4_3`	`1.2500`	`1.1720`	`1.067`	`4845.46200496`	`4845.46200496`
`EX5_4_4`	`6.0310`	`3.6880`	`1.635`	`10077.77540384`	`10077.77540384`
`EX6_1_1`	`0.8600`	`0.6870`	`1.252`	`-0.02019831`	`-0.02019831`
`EX6_1_2`	`1.6250`	`1.2180`	`1.334`	`-0.03246375`	`-0.03246375`
`EX6_1_3`	`0.7500`	`0.8120`	`0.924`	`-0.35249780`	`-0.35249780`
`EX6_1_4`	`0.7810`	`0.6560`	`1.191`	`-0.29454129`	`-0.29454129`
`EX6_2_10`	`1.2340`	`1.0160`	`1.215`	`-3.05197613`	`-3.05197613`
`EX6_2_11`	`0.6560`	`0.5460`	`1.201`	`-0.00000267`	`-0.00000267`
`EX6_2_12`	`0.8120`	`0.7180`	`1.131`	`0.28919475`	`0.28919475`
`EX6_2_13`	`2.4690`	`2.2970`	`1.075`	`-0.21620944`	`-0.21620944`
`EX6_2_14`	`1.1410`	`0.7810`	`1.461`	`-0.69535793`	`-0.69535802`
`EX6_2_5`	`1.5310`	`1.3750`	`1.113`	`-70.75207783`	`-70.75207783`
`EX6_2_7`	`1.1710`	`1.0000`	`1.171`	`-0.16084762`	`-0.16084762`
`EX6_2_8`	`1.1400`	`0.7500`	`1.520`	`-0.02700635`	`-0.02700635`
`EX6_2_9`	`1.0000`	`0.8130`	`1.230`	`-0.03406618`	`-0.03406618`
`EX7_2_1`	`2.9210`	`2.0310`	`1.438`	`1227.22607572`	`1227.22607553`
`EX7_2_2`	`2.6400`	`0.9680`	`2.727`	`-0.38881143`	`-0.38881143`
`EX7_2_3`	`0.9530`	`0.8130`	`1.172`	`7049.24802053`	`7049.24824955`
`EX7_2_4`	`5.3590`	`3.8440`	`1.394`	`3.91801023`	`3.91801023`
`EX7_3_2`	`0.4690`	`0.4690`	`1.000`	`1.08986397`	`1.08986397`
`EX7_3_3`	`2.6410`	`2.1560`	`1.225`	`1.14477980`	`1.14477980`
`EX7_3_4`	`0.9530`	`0.8910`	`1.070`	`10.00000000`	`10.00000000`
`EX7_3_5`	`1.0310`	`1.2190`	`0.846`	`0.00000000`	`1.20689655`
`EX8_1_1`	`1.2810`	`0.9060`	`1.414`	`-2.02180678`	`-2.02180678`
`EX8_1_2`	`1.3600`	`0.9370`	`1.451`	`-1.07086102`	`-1.07086102`
`EX8_1_3`	`1.3750`	`1.1560`	`1.189`	`30.00000000`	`30.00000000`
`EX8_1_7`	`2.9850`	`2.2810`	`1.309`	`0.02931083`	`0.02931083`
`EX8_1_8`	`2.5780`	`0.9060`	`2.845`	`-0.38881143`	`-0.38881143`
`EX8_3_6`	`8.2500`	`4.4060`	`1.872`	`-0.50000000`	`-10000.00000000`
`EX8_3_9`	`15.5780`	`18.1720`	`0.857`	`-0.76300193`	`-0.76300193`
`EX8_4_1`	`2.0780`	`1.6410`	`1.266`	`0.61857276`	`0.61857276`
`EX8_4_2`	`3.4060`	`2.9210`	`1.166`	`0.48515249`	`0.48515249`
`EX8_4_3`	`4.8440`	`4.4380`	`1.091`	`0.00464972`	`0.00464972`
`EX8_4_4`	`1.5000`	`1.2350`	`1.215`	`0.21245984`	`0.21245984`
`EX8_4_5`	`1.3910`	`1.5780`	`0.881`	`0.00030749`	`0.00030749`
`EX8_4_6`	`5.0310`	`0.8120`	`6.196`	`0.00110498`	`100000002.22501400`
`EX8_4_7`	`8.6400`	`7.9850`	`1.082`	`29.04730672`	`29.04730672`
`EX8_4_8`	`16.5470`	`2.4690`	`6.702`	`3.32184731`	`0.00000000`
`EX8_5_1`	`18.6100`	`0.6560`	`28.369`	`-0.00000041`	`0.31733169`
`EX8_5_3`	`2.0000`	`3.9690`	`0.504`	`-0.00413543`	`72398.80183915`
`EX9_1_4`	`1.4210`	`0.9850`	`1.443`	`-37.00000000`	`-37.00000000`
`EX9_1_5`	`0.5470`	`0.5150`	`1.062`	`-1.00000000`	`-1.00000000`
`EX9_1_8`	`1.1880`	`0.5000`	`2.376`	`-3.25000000`	`-3.25000000`
`EX9_2_1`	`3.2030`	`2.6870`	`1.192`	`17.00000000`	`17.00000000`
`EX9_2_3`	`7.5470`	`5.8910`	`1.281`	`0.00000000`	`5.00000000`
`EX9_2_4`	`2.1100`	`1.9530`	`1.080`	`0.50000000`	`0.50000000`
`EX9_2_6`	`0.6410`	`0.5780`	`1.109`	`-1.00000000`	`-1.00000000`
`EX9_2_7`	`3.2970`	`2.8120`	`1.172`	`17.00000000`	`17.00000000`
`EX9_2_8`	`0.6250`	`0.5630`	`1.110`	`1.50000000`	`1.50000000`

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

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

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`	`15990.00000000`
`EX2_1_9`	`1.2500`	`-0.37500000`
`EX3_1_1`	`1.0620`	`7049.24802053`
`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`	`0.00000000`
`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`	`-0.35249780`
`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`	`-0.69535793`
`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`	`1227.22607572`
`EX7_2_2`	`2.6400`	`-0.38881143`
`EX7_2_3`	`0.9530`	`7049.24802053`
`EX7_2_4`	`5.3590`	`3.91801023`
`EX7_3_2`	`0.4690`	`1.08986397`
`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`	`-0.50000000`
`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`	`3.32184731`
`EX8_5_1`	`18.6100`	`-0.00000041`
`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`	`17.00000000`
`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`	`17.00000000`
`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)`

OQNLP/MINOS: feas: Back to top

Modelname	OQNLP/MINOS	Obj (OQNLP/MINOS)
`EX14_1_1`	`1.0310`	`0.00000000`
`EX14_1_2`	`0.8280`	`0.00000000`
`EX14_1_3`	`0.5000`	`0.00000000`
`EX14_1_5`	`0.3750`	`0.00000000`
`EX14_1_6`	`0.4680`	`0.00000000`
`EX14_1_7`	`0.7190`	`0.13499021`
`EX14_1_8`	`0.6560`	`0.00000000`
`EX14_1_9`	`0.2970`	`0.00000000`
`EX14_2_1`	`0.6100`	`0.00000000`
`EX14_2_2`	`0.3900`	`0.00000000`
`EX14_2_3`	`0.8130`	`0.00000000`
`EX14_2_4`	`0.8440`	`0.00000000`
`EX14_2_5`	`0.4220`	`0.00000000`
`EX14_2_6`	`0.7340`	`0.00000000`
`EX14_2_7`	`0.8910`	`0.00000000`
`EX14_2_8`	`0.5000`	`0.00000000`
`EX14_2_9`	`0.5160`	`0.00000000`
`EX2_1_1`	`1.0630`	`-17.00000000`
`EX2_1_10`	`0.9530`	`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`	`1.3120`	`-268.01463154`
`EX2_1_6`	`0.9530`	`-39.00000000`
`EX2_1_7`	`0.8590`	`-4150.41013393`
`EX2_1_8`	`2.0310`	`15990.00000000`
`EX2_1_9`	`0.9530`	`-0.37500000`
`EX3_1_1`	`1.4530`	`7049.24802053`
`EX3_1_2`	`1.0930`	`-30665.53867178`
`EX3_1_3`	`0.5310`	`-310.00000000`
`EX3_1_4`	`0.8600`	`-4.00000000`
`EX4_1_1`	`0.8120`	`-7.48731236`
`EX4_1_2`	`0.7810`	`-663.50009661`
`EX4_1_3`	`0.7810`	`-443.67170474`
`EX4_1_4`	`0.8430`	`0.00000000`
`EX4_1_5`	`4.1090`	`0.00000000`
`EX4_1_6`	`0.6880`	`7.00000000`
`EX4_1_7`	`0.9380`	`-7.50000000`
`EX4_1_8`	`0.5150`	`-16.73889318`
`EX4_1_9`	`0.8440`	`-5.50801327`
`EX5_2_2_CASE1`	`0.7340`	`-400.00000000`
`EX5_2_2_CASE2`	`1.6560`	`0.00000000`
`EX5_2_2_CASE3`	`0.5780`	`-750.00000000`
`EX5_2_4`	`0.5940`	`-450.00000000`
`EX5_2_5`	`6.5310`	`-3500.00000000`
`EX5_3_2`	`1.2500`	`1.86415946`
`EX5_3_3`	`20.3130`	`3.23401822`
`EX5_4_2`	`0.9220`	`7512.23014450`
`EX5_4_3`	`1.1720`	`4845.46200496`
`EX5_4_4`	`3.6880`	`10077.77540384`
`EX6_1_1`	`0.6870`	`-0.02019831`
`EX6_1_2`	`1.2180`	`-0.03246375`
`EX6_1_3`	`0.8120`	`-0.35249780`
`EX6_1_4`	`0.6560`	`-0.29454129`
`EX6_2_10`	`1.0160`	`-3.05197613`
`EX6_2_11`	`0.5460`	`-0.00000267`
`EX6_2_12`	`0.7180`	`0.28919475`
`EX6_2_13`	`2.2970`	`-0.21620944`
`EX6_2_14`	`0.7810`	`-0.69535793`
`EX6_2_5`	`1.3750`	`-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`	`2.0310`	`1227.22607572`
`EX7_2_2`	`0.9680`	`-0.38881143`
`EX7_2_3`	`0.8130`	`7049.24802053`
`EX7_2_4`	`3.8440`	`3.91801023`
`EX7_3_2`	`0.4690`	`1.08986397`
`EX7_3_3`	`2.1560`	`1.14477980`
`EX7_3_4`	`0.8910`	`10.00000000`
`EX7_3_5`	`1.2190`	`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`	`2.2810`	`0.02931083`
`EX8_1_8`	`0.9060`	`-0.38881143`
`EX8_2_1`	`8.7340`	`9.00000000`
`EX8_2_4`	`18.9060`	`9.00000000`
`EX8_3_6`	`4.4060`	`-0.50000000`
`EX8_3_9`	`18.1720`	`-0.76300193`
`EX8_4_1`	`1.6410`	`0.61857276`
`EX8_4_2`	`2.9210`	`0.48515249`
`EX8_4_3`	`4.4380`	`0.00464972`
`EX8_4_4`	`1.2350`	`0.21245984`
`EX8_4_5`	`1.5780`	`0.00030749`
`EX8_4_6`	`0.8120`	`0.00110498`
`EX8_4_7`	`7.9850`	`29.04730672`
`EX8_4_8`	`2.4690`	`3.32184731`
`EX8_5_1`	`0.6560`	`-0.00000041`
`EX8_5_3`	`3.9690`	`-0.00413543`
`EX9_1_4`	`0.9850`	`-37.00000000`
`EX9_1_5`	`0.5150`	`-1.00000000`
`EX9_1_8`	`0.5000`	`-3.25000000`
`EX9_2_1`	`2.6870`	`17.00000000`
`EX9_2_3`	`5.8910`	`0.00000000`
`EX9_2_4`	`1.9530`	`0.50000000`
`EX9_2_6`	`0.5780`	`-1.00000000`
`EX9_2_7`	`2.8120`	`17.00000000`
`EX9_2_8`	`0.5630`	`1.50000000`