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

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

Result Totals in Percent:

Solver	% models optimal	% models feasible	% models infeasible	% models unbounded	% models fail
OQNLP/MINOS	`-`	`100.00`	`-`	`-`	`-`
OQNLP/SNOPT	`-`	`100.00`	`-`	`-`	`-`

Result Totals in Number of Models:

	optimal	feasible	infeasible	unbounded	fail	total OQNLP/MINOS
optimal	-	-	-	-	-	`-`
feasible	-	`99`	-	-	-	`99`
infeasible	-	-	-	-	-	`-`
unbounded	-	-	-	-	-	`-`
fail	-	-	-	-	-	`-`
total OQNLP/SNOPT	`-`	`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/MINOS: feas -- OQNLP/SNOPT: feas Back to top

Modelname	OQNLP/MINOS	OQNLP/SNOPT	Ratio (OQNLP/MINOS/OQNLP/SNOPT)	Obj (OQNLP/MINOS)	Obj (OQNLP/SNOPT)
`EX14_1_1`	`1.0310`	`0.9380`	`1.099`	`0.00000000`	`0.00000000`
`EX14_1_2`	`0.8280`	`0.6880`	`1.203`	`0.00000000`	`0.00000000`
`EX14_1_3`	`0.5000`	`0.4060`	`1.232`	`0.00000000`	`0.00000000`
`EX14_1_5`	`0.3750`	`0.3440`	`1.090`	`0.00000000`	`0.00000000`
`EX14_1_6`	`0.4680`	`0.4220`	`1.109`	`0.00000000`	`0.00000000`
`EX14_1_7`	`0.7190`	`0.5150`	`1.396`	`0.13499021`	`0.13499021`
`EX14_1_8`	`0.6560`	`0.6090`	`1.077`	`0.00000000`	`0.00000000`
`EX14_1_9`	`0.2970`	`0.2660`	`1.117`	`0.00000000`	`0.00000000`
`EX14_2_1`	`0.6100`	`0.5000`	`1.220`	`0.00000000`	`0.00000000`
`EX14_2_2`	`0.3900`	`0.3280`	`1.189`	`0.00000000`	`0.00000000`
`EX14_2_3`	`0.8130`	`0.7340`	`1.108`	`0.00000000`	`0.00000000`
`EX14_2_4`	`0.8440`	`0.6250`	`1.350`	`0.00000000`	`0.00000000`
`EX14_2_5`	`0.4220`	`0.3440`	`1.227`	`0.00000000`	`0.00000000`
`EX14_2_6`	`0.7340`	`0.6100`	`1.203`	`0.00000000`	`0.00000000`
`EX14_2_7`	`0.8910`	`0.8900`	`1.001`	`0.00000000`	`0.00000000`
`EX14_2_8`	`0.5000`	`0.3900`	`1.282`	`0.00000000`	`0.00000000`
`EX14_2_9`	`0.5160`	`0.3900`	`1.323`	`0.00000000`	`0.00000000`
`EX2_1_1`	`1.0630`	`1.1410`	`0.932`	`-17.00000000`	`-17.00000000`
`EX2_1_10`	`0.9530`	`0.8750`	`1.089`	`49318.01795841`	`49318.01795841`
`EX2_1_2`	`0.6880`	`0.8590`	`0.801`	`-213.00000000`	`-213.00000000`
`EX2_1_3`	`0.6400`	`0.7340`	`0.872`	`-15.00000000`	`-15.00000000`
`EX2_1_4`	`0.6400`	`0.6410`	`0.998`	`-11.00000000`	`-11.00000000`
`EX2_1_5`	`1.3120`	`1.1560`	`1.135`	`-268.01463154`	`-268.01463154`
`EX2_1_6`	`0.9530`	`1.1710`	`0.814`	`-39.00000000`	`-39.00000000`
`EX2_1_7`	`0.8590`	`0.8750`	`0.982`	`-4150.41013393`	`-4150.41013393`
`EX2_1_8`	`2.0310`	`2.9840`	`0.681`	`20560.00000000`	`15639.00000000`
`EX2_1_9`	`0.9530`	`1.0630`	`0.897`	`-0.37500000`	`-0.37500000`
`EX3_1_1`	`1.4530`	`0.8750`	`1.661`	`7049.24802053`	`7049.24801988`
`EX3_1_2`	`1.0930`	`1.2970`	`0.843`	`-30665.53867178`	`-30665.53867179`
`EX3_1_3`	`0.5310`	`0.4680`	`1.135`	`-310.00000000`	`-310.00000000`
`EX3_1_4`	`0.8600`	`0.7970`	`1.079`	`-4.00000000`	`-4.00000000`
`EX4_1_1`	`0.8120`	`0.7030`	`1.155`	`-7.48731236`	`-7.48731236`
`EX4_1_2`	`0.7810`	`0.7970`	`0.980`	`-663.50009661`	`-663.50009661`
`EX4_1_3`	`0.7810`	`0.6880`	`1.135`	`-443.67170474`	`-443.67170474`
`EX4_1_4`	`0.8430`	`0.9530`	`0.885`	`0.00000000`	`0.00000000`
`EX4_1_5`	`4.1090`	`4.0150`	`1.023`	`-8.8333333313334E+19`	`-8.8333333313334E+19`
`EX4_1_6`	`0.6880`	`0.5930`	`1.160`	`7.00000000`	`7.00000000`
`EX4_1_7`	`0.9380`	`0.8900`	`1.054`	`-7.50000000`	`-7.50000000`
`EX4_1_8`	`0.5150`	`0.4060`	`1.268`	`-16.73889318`	`-16.73889318`
`EX4_1_9`	`0.8440`	`0.9220`	`0.915`	`-5.50801327`	`-5.50801327`
`EX5_2_2_CASE1`	`0.7340`	`0.6720`	`1.092`	`-400.00000000`	`-400.00000000`
`EX5_2_2_CASE2`	`1.6560`	`1.3910`	`1.191`	`0.00000000`	`0.00000000`
`EX5_2_2_CASE3`	`0.5780`	`0.8120`	`0.712`	`-750.00000000`	`-750.00000000`
`EX5_2_4`	`0.5940`	`0.4840`	`1.227`	`-450.00000000`	`-450.00000000`
`EX5_2_5`	`6.5310`	`4.2970`	`1.520`	`-3500.00000000`	`-3499.99999990`
`EX5_3_2`	`1.2500`	`1.1100`	`1.126`	`1.86415946`	`1.86415946`
`EX5_3_3`	`20.3130`	`5.6250`	`3.611`	`3.23401822`	`3.23401822`
`EX5_4_2`	`0.9220`	`6.3590`	`0.145`	`7512.23014450`	`7512.23014432`
`EX5_4_3`	`1.1720`	`1.0930`	`1.072`	`4845.46200496`	`4845.46200496`
`EX5_4_4`	`3.6880`	`4.1870`	`0.881`	`10077.77540384`	`10077.77540384`
`EX6_1_1`	`0.6870`	`0.6560`	`1.047`	`-0.02019831`	`-0.02019831`
`EX6_1_2`	`1.2180`	`1.4210`	`0.857`	`-0.03246375`	`-0.03246375`
`EX6_1_3`	`0.8120`	`0.6100`	`1.331`	`-0.35249780`	`-0.35249770`
`EX6_1_4`	`0.6560`	`0.5780`	`1.135`	`-0.29454129`	`-0.29454129`
`EX6_2_10`	`1.0160`	`2.7350`	`0.371`	`-3.05197613`	`-3.05197611`
`EX6_2_11`	`0.5460`	`0.5310`	`1.028`	`-0.00000267`	`-0.00000267`
`EX6_2_12`	`0.7180`	`1.1880`	`0.604`	`0.28919475`	`0.28919475`
`EX6_2_13`	`2.2970`	`3.1410`	`0.731`	`-0.21620944`	`-0.21620974`
`EX6_2_14`	`0.7810`	`0.8750`	`0.893`	`-0.69535802`	`-0.69535793`
`EX6_2_5`	`1.3750`	`1.2190`	`1.128`	`-70.75207783`	`-70.75207783`
`EX6_2_7`	`1.0000`	`1.5780`	`0.634`	`-0.16084762`	`-0.16084762`
`EX6_2_8`	`0.7500`	`0.7660`	`0.979`	`-0.02700635`	`-0.02700635`
`EX6_2_9`	`0.8130`	`1.4210`	`0.572`	`-0.03406618`	`-0.03406618`
`EX7_2_1`	`2.0310`	`4.6560`	`0.436`	`1227.22607553`	`1227.21419311`
`EX7_2_2`	`0.9680`	`0.9850`	`0.983`	`-0.38881143`	`-0.38881143`
`EX7_2_3`	`0.8130`	`0.7500`	`1.084`	`7049.24824955`	`7049.24843970`
`EX7_2_4`	`3.8440`	`4.5310`	`0.848`	`3.91801023`	`3.91801023`
`EX7_3_2`	`0.4690`	`0.3440`	`1.363`	`1.08986397`	`1.08986390`
`EX7_3_3`	`2.1560`	`2.1560`	`1.000`	`1.14477980`	`1.14477980`
`EX7_3_4`	`0.8910`	`0.7190`	`1.239`	`10.00000000`	`10.00000000`
`EX7_3_5`	`1.2190`	`10.0780`	`0.121`	`1.20689655`	`1.20689655`
`EX8_1_1`	`0.9060`	`0.9380`	`0.966`	`-2.02180678`	`-2.02180678`
`EX8_1_2`	`0.9370`	`1.0620`	`0.882`	`-1.07086102`	`-1.07086102`
`EX8_1_3`	`1.1560`	`1.2030`	`0.961`	`30.00000000`	`30.00000000`
`EX8_1_7`	`2.2810`	`2.1400`	`1.066`	`0.02931083`	`0.02931083`
`EX8_1_8`	`0.9060`	`0.8440`	`1.073`	`-0.38881143`	`-0.38881143`
`EX8_2_1`	`8.7340`	`9.1250`	`0.957`	`82.02227807`	`82.02227807`
`EX8_2_4`	`18.9060`	`17.5630`	`1.076`	`79.77859605`	`82.02227807`
`EX8_3_6`	`4.4060`	`20.6410`	`0.213`	`-10000.00000000`	`-0.50000000`
`EX8_3_9`	`18.1720`	`25.5470`	`0.711`	`-0.76300193`	`-0.76300193`
`EX8_4_1`	`1.6410`	`1.6090`	`1.020`	`0.61857276`	`0.61857276`
`EX8_4_2`	`2.9210`	`2.7350`	`1.068`	`0.48515249`	`0.48515249`
`EX8_4_3`	`4.4380`	`7.0630`	`0.628`	`0.00464972`	`0.00464972`
`EX8_4_4`	`1.2350`	`1.1710`	`1.055`	`0.21245984`	`0.21245984`
`EX8_4_5`	`1.5780`	`1.2810`	`1.232`	`0.00030749`	`0.00030749`
`EX8_4_6`	`0.8120`	`4.1560`	`0.195`	`100000002.22501400`	`0.22924694`
`EX8_4_7`	`7.9850`	`8.0780`	`0.988`	`29.04730672`	`29.04732445`
`EX8_4_8`	`2.4690`	`13.4530`	`0.184`	`0.00000000`	`0.00000000`
`EX8_5_1`	`0.6560`	`1.1250`	`0.583`	`0.31733169`	`-0.51176764`
`EX8_5_3`	`3.9690`	`2.5000`	`1.588`	`72398.80183915`	`0.21087435`
`EX9_1_4`	`0.9850`	`0.4370`	`2.254`	`-37.00000000`	`-37.00000000`
`EX9_1_5`	`0.5150`	`0.4690`	`1.098`	`-1.00000000`	`-1.00000000`
`EX9_1_8`	`0.5000`	`0.4840`	`1.033`	`-3.25000000`	`-3.25000000`
`EX9_2_1`	`2.6870`	`2.5000`	`1.075`	`17.00000000`	`16.99999921`
`EX9_2_3`	`5.8910`	`5.4850`	`1.074`	`5.00000000`	`5.00000000`
`EX9_2_4`	`1.9530`	`1.6090`	`1.214`	`0.50000000`	`0.50000000`
`EX9_2_6`	`0.5780`	`0.4690`	`1.232`	`-1.00000000`	`-1.00000000`
`EX9_2_7`	`2.8120`	`2.4850`	`1.132`	`17.00000000`	`16.99999921`
`EX9_2_8`	`0.5630`	`0.6250`	`0.901`	`1.50000000`	`1.50000000`

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`	`20560.00000000`
`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`	`-8.8333333313334E+19`
`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`	`-0.69535802`
`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`	`1227.22607553`
`EX7_2_2`	`0.9680`	`-0.38881143`
`EX7_2_3`	`0.8130`	`7049.24824955`
`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`	`1.20689655`
`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`	`82.02227807`
`EX8_2_4`	`18.9060`	`79.77859605`
`EX8_3_6`	`4.4060`	`-10000.00000000`
`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`	`100000002.22501400`
`EX8_4_7`	`7.9850`	`29.04730672`
`EX8_4_8`	`2.4690`	`0.00000000`
`EX8_5_1`	`0.6560`	`0.31733169`
`EX8_5_3`	`3.9690`	`72398.80183915`
`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`	`5.00000000`
`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`

OQNLP/SNOPT: feas: Back to top

Modelname	OQNLP/SNOPT	Obj (OQNLP/SNOPT)
`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`	`1.1410`	`-17.00000000`
`EX2_1_10`	`0.8750`	`49318.01795841`
`EX2_1_2`	`0.8590`	`-213.00000000`
`EX2_1_3`	`0.7340`	`-15.00000000`
`EX2_1_4`	`0.6410`	`-11.00000000`
`EX2_1_5`	`1.1560`	`-268.01463154`
`EX2_1_6`	`1.1710`	`-39.00000000`
`EX2_1_7`	`0.8750`	`-4150.41013393`
`EX2_1_8`	`2.9840`	`20560.00000000`
`EX2_1_9`	`1.0630`	`-0.37500000`
`EX3_1_1`	`0.8750`	`7049.24802053`
`EX3_1_2`	`1.2970`	`-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`	`0.7970`	`-663.50009661`
`EX4_1_3`	`0.6880`	`-443.67170474`
`EX4_1_4`	`0.9530`	`0.00000000`
`EX4_1_5`	`4.0150`	`-8.8333333313334E+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`	`0.9220`	`-5.50801327`
`EX5_2_2_CASE1`	`0.6720`	`-400.00000000`
`EX5_2_2_CASE2`	`1.3910`	`0.00000000`
`EX5_2_2_CASE3`	`0.8120`	`-750.00000000`
`EX5_2_4`	`0.4840`	`-450.00000000`
`EX5_2_5`	`4.2970`	`-3500.00000000`
`EX5_3_2`	`1.1100`	`1.86415946`
`EX5_3_3`	`5.6250`	`3.23401822`
`EX5_4_2`	`6.3590`	`7512.23014450`
`EX5_4_3`	`1.0930`	`4845.46200496`
`EX5_4_4`	`4.1870`	`10077.77540384`
`EX6_1_1`	`0.6560`	`-0.02019831`
`EX6_1_2`	`1.4210`	`-0.03246375`
`EX6_1_3`	`0.6100`	`-0.35249780`
`EX6_1_4`	`0.5780`	`-0.29454129`
`EX6_2_10`	`2.7350`	`-3.05197613`
`EX6_2_11`	`0.5310`	`-0.00000267`
`EX6_2_12`	`1.1880`	`0.28919475`
`EX6_2_13`	`3.1410`	`-0.21620944`
`EX6_2_14`	`0.8750`	`-0.69535802`
`EX6_2_5`	`1.2190`	`-70.75207783`
`EX6_2_7`	`1.5780`	`-0.16084762`
`EX6_2_8`	`0.7660`	`-0.02700635`
`EX6_2_9`	`1.4210`	`-0.03406618`
`EX7_2_1`	`4.6560`	`1227.22607553`
`EX7_2_2`	`0.9850`	`-0.38881143`
`EX7_2_3`	`0.7500`	`7049.24824955`
`EX7_2_4`	`4.5310`	`3.91801023`
`EX7_3_2`	`0.3440`	`1.08986397`
`EX7_3_3`	`2.1560`	`1.14477980`
`EX7_3_4`	`0.7190`	`10.00000000`
`EX7_3_5`	`10.0780`	`1.20689655`
`EX8_1_1`	`0.9380`	`-2.02180678`
`EX8_1_2`	`1.0620`	`-1.07086102`
`EX8_1_3`	`1.2030`	`30.00000000`
`EX8_1_7`	`2.1400`	`0.02931083`
`EX8_1_8`	`0.8440`	`-0.38881143`
`EX8_2_1`	`9.1250`	`82.02227807`
`EX8_2_4`	`17.5630`	`79.77859605`
`EX8_3_6`	`20.6410`	`-10000.00000000`
`EX8_3_9`	`25.5470`	`-0.76300193`
`EX8_4_1`	`1.6090`	`0.61857276`
`EX8_4_2`	`2.7350`	`0.48515249`
`EX8_4_3`	`7.0630`	`0.00464972`
`EX8_4_4`	`1.1710`	`0.21245984`
`EX8_4_5`	`1.2810`	`0.00030749`
`EX8_4_6`	`4.1560`	`100000002.22501400`
`EX8_4_7`	`8.0780`	`29.04730672`
`EX8_4_8`	`13.4530`	`0.00000000`
`EX8_5_1`	`1.1250`	`0.31733169`
`EX8_5_3`	`2.5000`	`72398.80183915`
`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`	`17.00000000`
`EX9_2_3`	`5.4850`	`5.00000000`
`EX9_2_4`	`1.6090`	`0.50000000`
`EX9_2_6`	`0.4690`	`-1.00000000`
`EX9_2_7`	`2.4850`	`17.00000000`
`EX9_2_8`	`0.6250`	`1.50000000`