Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 11/15/02 12:53:14

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

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

Result Totals in Percent:

Solver	% models optimal	% models feasible	% models infeasible	% models unbounded	% models fail
SNOPT	`-`	`89.90`	`3.03`	`1.01`	`6.06`
OQNLP/SNOPT	`-`	`100.00`	`-`	`-`	`-`

Result Totals in Number of Models:

	optimal	feasible	infeasible	unbounded	fail	total SNOPT
optimal	-	-	-	-	-	`-`
feasible	-	`89`	-	-	-	`89`
infeasible	-	`3`	-	-	-	`3`
unbounded	-	`1`	-	-	-	`1`
fail	-	`6`	-	-	-	`6`
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.

SNOPT: feas -- OQNLP/SNOPT: feas Back to top

Modelname	SNOPT	OQNLP/SNOPT	Ratio (SNOPT/OQNLP/SNOPT)	Obj (SNOPT)	Obj (OQNLP/SNOPT)
`EX14_1_1`	`0.2031`	`0.9380`	`0.217`	`0.00000000`	`0.00000000`
`EX14_1_2`	`0.0469`	`0.6880`	`0.068`	`0.00000000`	`0.00000000`
`EX14_1_3`	`0.0898`	`0.4060`	`0.221`	`0.00000000`	`0.00000000`
`EX14_1_5`	`0.0313`	`0.3440`	`0.091`	`0.00000000`	`0.00000000`
`EX14_1_6`	`0.0313`	`0.4220`	`0.074`	`1.00000000`	`0.00000000`
`EX14_1_7`	`0.0313`	`0.5150`	`0.061`	`7.04274947`	`0.13499021`
`EX14_1_8`	`0.0469`	`0.6090`	`0.077`	`0.04141589`	`0.00000000`
`EX14_1_9`	`0.0313`	`0.2660`	`0.117`	`0.00000000`	`0.00000000`
`EX14_2_1`	`0.0469`	`0.5000`	`0.094`	`0.00000000`	`0.00000000`
`EX14_2_2`	`0.0313`	`0.3280`	`0.095`	`0.00000000`	`0.00000000`
`EX14_2_3`	`0.0156`	`0.7340`	`0.021`	`0.00000000`	`0.00000000`
`EX14_2_4`	`0.0273`	`0.6250`	`0.044`	`0.00000000`	`0.00000000`
`EX14_2_5`	`0.0313`	`0.3440`	`0.091`	`0.00000000`	`0.00000000`
`EX14_2_6`	`0.0469`	`0.6100`	`0.077`	`0.00000000`	`0.00000000`
`EX14_2_7`	`0.0352`	`0.8900`	`0.040`	`0.00000000`	`0.00000000`
`EX14_2_8`	`0.0313`	`0.3900`	`0.080`	`0.00000000`	`0.00000000`
`EX14_2_9`	`0.0313`	`0.3900`	`0.080`	`0.00000000`	`0.00000000`
`EX2_1_1`	`0.0352`	`1.1410`	`0.031`	`-17.00000000`	`-17.00000000`
`EX2_1_10`	`0.0469`	`0.8750`	`0.054`	`133718.84489665`	`49318.01795841`
`EX2_1_2`	`0.0117`	`0.8590`	`0.014`	`-213.00000000`	`-213.00000000`
`EX2_1_3`	`0.0156`	`0.7340`	`0.021`	`-15.00000000`	`-15.00000000`
`EX2_1_4`	`0.0313`	`0.6410`	`0.049`	`-11.00000000`	`-11.00000000`
`EX2_1_5`	`0.0352`	`1.1560`	`0.030`	`-268.01463154`	`-268.01463154`
`EX2_1_6`	`0.0469`	`1.1710`	`0.040`	`-39.00000000`	`-39.00000000`
`EX2_1_7`	`0.0313`	`0.8750`	`0.036`	`-4150.41013393`	`-4150.41013393`
`EX2_1_8`	`0.0156`	`2.9840`	`0.005`	`25287.00000000`	`15639.00000000`
`EX2_1_9`	`0.0156`	`1.0630`	`0.015`	`-0.37500000`	`-0.37500000`
`EX3_1_1`	`0.0313`	`0.8750`	`0.036`	`7049.24801046`	`7049.24801988`
`EX3_1_2`	`0.0469`	`1.2970`	`0.036`	`-30665.53867179`	`-30665.53867179`
`EX3_1_3`	`0.0156`	`0.4680`	`0.033`	`-310.00000000`	`-310.00000000`
`EX3_1_4`	`0.0352`	`0.7970`	`0.044`	`-4.00000000`	`-4.00000000`
`EX4_1_1`	`0.0469`	`0.7030`	`0.067`	`-0.51997806`	`-7.48731236`
`EX4_1_2`	`0.0313`	`0.7970`	`0.039`	`-663.50009661`	`-663.50009661`
`EX4_1_3`	`0.0273`	`0.6880`	`0.040`	`-443.67170474`	`-443.67170474`
`EX4_1_4`	`0.0313`	`0.9530`	`0.033`	`0.00000000`	`0.00000000`
`EX4_1_5`	`0.0313`	`4.0150`	`0.008`	`0.00000000`	`-8.8333333313334E+19`
`EX4_1_6`	`0.0156`	`0.5930`	`0.026`	`7.00000000`	`7.00000000`
`EX4_1_7`	`0.0352`	`0.8900`	`0.040`	`-7.50000000`	`-7.50000000`
`EX4_1_8`	`0.0313`	`0.4060`	`0.077`	`-16.73889318`	`-16.73889318`
`EX4_1_9`	`0.0273`	`0.9220`	`0.030`	`-5.50801327`	`-5.50801327`
`EX5_2_2_CASE1`	`0.0273`	`0.6720`	`0.041`	`0.00000000`	`-400.00000000`
`EX5_2_2_CASE2`	`0.0313`	`1.3910`	`0.022`	`0.00000000`	`0.00000000`
`EX5_2_2_CASE3`	`0.0273`	`0.8120`	`0.034`	`0.00000000`	`-750.00000000`
`EX5_2_4`	`0.0313`	`0.4840`	`0.065`	`-100.00000000`	`-450.00000000`
`EX5_2_5`	`0.0313`	`4.2970`	`0.007`	`-1900.00000000`	`-3499.99999990`
`EX5_4_2`	`7.8438`	`6.3590`	`1.233`	`7512.23014427`	`7512.23014432`
`EX5_4_4`	`0.0508`	`4.1870`	`0.012`	`11841.60921275`	`10077.77540384`
`EX6_1_1`	`0.0313`	`0.6560`	`0.048`	`-0.02019831`	`-0.02019831`
`EX6_1_2`	`0.0352`	`1.4210`	`0.025`	`-0.03246375`	`-0.03246375`
`EX6_1_4`	`0.0352`	`0.5780`	`0.061`	`-0.29454129`	`-0.29454129`
`EX6_2_11`	`0.0313`	`0.5310`	`0.059`	`-0.00000267`	`-0.00000267`
`EX6_2_12`	`0.0469`	`1.1880`	`0.039`	`0.28919475`	`0.28919475`
`EX6_2_13`	`0.0156`	`3.1410`	`0.005`	`-0.21620944`	`-0.21620974`
`EX6_2_14`	`0.0273`	`0.8750`	`0.031`	`-0.69535793`	`-0.69535793`
`EX6_2_5`	`0.1406`	`1.2190`	`0.115`	`-70.75207783`	`-70.75207783`
`EX6_2_7`	`0.0469`	`1.5780`	`0.030`	`-0.16084762`	`-0.16084762`
`EX6_2_8`	`0.0352`	`0.7660`	`0.046`	`-0.02700635`	`-0.02700635`
`EX6_2_9`	`0.0313`	`1.4210`	`0.022`	`-0.03406618`	`-0.03406618`
`EX7_2_1`	`3.5156`	`4.6560`	`0.755`	`1227.22602670`	`1227.21419311`
`EX7_2_2`	`0.0313`	`0.9850`	`0.032`	`-0.38881144`	`-0.38881143`
`EX7_2_3`	`0.0508`	`0.7500`	`0.068`	`7049.24625046`	`7049.24843970`
`EX7_2_4`	`0.0469`	`4.5310`	`0.010`	`4.20285303`	`3.91801023`
`EX7_3_2`	`0.0313`	`0.3440`	`0.091`	`1.08986390`	`1.08986390`
`EX7_3_3`	`0.0156`	`2.1560`	`0.007`	`1.14477980`	`1.14477980`
`EX7_3_4`	`0.0313`	`0.7190`	`0.043`	`10.00000000`	`10.00000000`
`EX7_3_5`	`0.0313`	`10.0780`	`0.003`	`1.20689655`	`1.20689655`
`EX8_1_1`	`0.0313`	`0.9380`	`0.033`	`-2.02180678`	`-2.02180678`
`EX8_1_2`	`0.0156`	`1.0620`	`0.015`	`2.80345848`	`-1.07086102`
`EX8_1_3`	`0.0313`	`1.2030`	`0.026`	`30.00000000`	`30.00000000`
`EX8_1_7`	`0.0625`	`2.1400`	`0.029`	`0.02931083`	`0.02931083`
`EX8_1_8`	`0.0352`	`0.8440`	`0.042`	`-0.38881144`	`-0.38881143`
`EX8_3_6`	`0.5313`	`20.6410`	`0.026`	`-0.50000000`	`-0.50000000`
`EX8_3_9`	`0.3281`	`25.5470`	`0.013`	`-0.75926547`	`-0.76300193`
`EX8_4_1`	`0.0313`	`1.6090`	`0.019`	`0.61857276`	`0.61857276`
`EX8_4_2`	`0.0469`	`2.7350`	`0.017`	`0.48515249`	`0.48515249`
`EX8_4_3`	`0.3867`	`7.0630`	`0.055`	`0.00464972`	`0.00464972`
`EX8_4_4`	`0.0313`	`1.1710`	`0.027`	`0.21245984`	`0.21245984`
`EX8_4_5`	`0.0625`	`1.2810`	`0.049`	`0.00122530`	`0.00030749`
`EX8_4_7`	`0.1563`	`8.0780`	`0.019`	`29.04733739`	`29.04732445`
`EX8_4_8`	`0.0938`	`13.4530`	`0.007`	`3.32184733`	`0.00000000`
`EX9_1_4`	`0.0313`	`0.4370`	`0.072`	`-37.00000000`	`-37.00000000`
`EX9_1_5`	`0.0313`	`0.4690`	`0.067`	`4.00000000`	`-1.00000000`
`EX9_1_8`	`0.0273`	`0.4840`	`0.056`	`-3.25000000`	`-3.25000000`
`EX9_2_1`	`0.0313`	`2.5000`	`0.013`	`16.99999921`	`16.99999921`
`EX9_2_3`	`0.0313`	`5.4850`	`0.006`	`5.00000000`	`5.00000000`
`EX9_2_4`	`0.0313`	`1.6090`	`0.019`	`0.50000000`	`0.50000000`
`EX9_2_6`	`0.0781`	`0.4690`	`0.167`	`-1.00000000`	`-1.00000000`
`EX9_2_7`	`0.0273`	`2.4850`	`0.011`	`16.99999921`	`16.99999921`
`EX9_2_8`	`0.0156`	`0.6250`	`0.025`	`1.50000000`	`1.50000000`

SNOPT: infeas -- OQNLP/SNOPT: feas Back to top

Modelname	SNOPT	OQNLP/SNOPT	Ratio (SNOPT/OQNLP/SNOPT)	Status (SNOPT)	Obj (OQNLP/SNOPT)
`EX5_3_2`	`0.0273`	`1.1100`	---	`mstat( 5) sstat( 1)`	`1.86415946`
`EX5_3_3`	`0.0313`	`5.6250`	---	`mstat( 5) sstat( 1)`	`3.23401822`
`EX5_4_3`	`0.0273`	`1.0930`	---	`mstat( 5) sstat( 1)`	`4845.46200496`

SNOPT: unbnd -- OQNLP/SNOPT: feas Back to top

Modelname	SNOPT	OQNLP/SNOPT	Ratio (SNOPT/OQNLP/SNOPT)	Status (SNOPT)	Obj (OQNLP/SNOPT)
`EX8_2_1`	`0.1250`	`9.1250`	---	`mstat( 3) sstat( 1)`	`82.02227807`

SNOPT: f -- OQNLP/SNOPT: feas Back to top

Modelname	SNOPT	OQNLP/SNOPT	Ratio (SNOPT/OQNLP/SNOPT)	Status (SNOPT)	Obj (OQNLP/SNOPT)
`EX6_1_3`	`0.0313`	`0.6100`	---	`mstat( 7) sstat( 5)`	`-0.35249770`
`EX6_2_10`	`0.0313`	`2.7350`	---	`mstat( 7) sstat( 5)`	`-3.05197611`
`EX8_2_4`	`0.5625`	`17.5630`	---	`mstat( 7) sstat( 4)`	`82.02227807`
`EX8_4_6`	`0.0313`	`4.1560`	---	`mstat( 7) sstat( 5)`	`0.22924694`
`EX8_5_1`	`0.0313`	`1.1250`	---	`mstat( 7) sstat( 5)`	`-0.51176764`
`EX8_5_3`	`0.0313`	`2.5000`	---	`mstat( 7) sstat( 5)`	`0.21087435`

SNOPT: feas: Back to top

Modelname	SNOPT	Obj (SNOPT)
`EX14_1_1`	`0.2031`	`0.00000000`
`EX14_1_2`	`0.0469`	`0.00000000`
`EX14_1_3`	`0.0898`	`0.00000000`
`EX14_1_5`	`0.0313`	`0.00000000`
`EX14_1_6`	`0.0313`	`1.00000000`
`EX14_1_7`	`0.0313`	`7.04274947`
`EX14_1_8`	`0.0469`	`0.04141589`
`EX14_1_9`	`0.0313`	`0.00000000`
`EX14_2_1`	`0.0469`	`0.00000000`
`EX14_2_2`	`0.0313`	`0.00000000`
`EX14_2_3`	`0.0156`	`0.00000000`
`EX14_2_4`	`0.0273`	`0.00000000`
`EX14_2_5`	`0.0313`	`0.00000000`
`EX14_2_6`	`0.0469`	`0.00000000`
`EX14_2_7`	`0.0352`	`0.00000000`
`EX14_2_8`	`0.0313`	`0.00000000`
`EX14_2_9`	`0.0313`	`0.00000000`
`EX2_1_1`	`0.0352`	`-17.00000000`
`EX2_1_10`	`0.0469`	`133718.84489665`
`EX2_1_2`	`0.0117`	`-213.00000000`
`EX2_1_3`	`0.0156`	`-15.00000000`
`EX2_1_4`	`0.0313`	`-11.00000000`
`EX2_1_5`	`0.0352`	`-268.01463154`
`EX2_1_6`	`0.0469`	`-39.00000000`
`EX2_1_7`	`0.0313`	`-4150.41013393`
`EX2_1_8`	`0.0156`	`25287.00000000`
`EX2_1_9`	`0.0156`	`-0.37500000`
`EX3_1_1`	`0.0313`	`7049.24801046`
`EX3_1_2`	`0.0469`	`-30665.53867179`
`EX3_1_3`	`0.0156`	`-310.00000000`
`EX3_1_4`	`0.0352`	`-4.00000000`
`EX4_1_1`	`0.0469`	`-0.51997806`
`EX4_1_2`	`0.0313`	`-663.50009661`
`EX4_1_3`	`0.0273`	`-443.67170474`
`EX4_1_4`	`0.0313`	`0.00000000`
`EX4_1_5`	`0.0313`	`0.00000000`
`EX4_1_6`	`0.0156`	`7.00000000`
`EX4_1_7`	`0.0352`	`-7.50000000`
`EX4_1_8`	`0.0313`	`-16.73889318`
`EX4_1_9`	`0.0273`	`-5.50801327`
`EX5_2_2_CASE1`	`0.0273`	`0.00000000`
`EX5_2_2_CASE2`	`0.0313`	`0.00000000`
`EX5_2_2_CASE3`	`0.0273`	`0.00000000`
`EX5_2_4`	`0.0313`	`-100.00000000`
`EX5_2_5`	`0.0313`	`-1900.00000000`
`EX5_4_2`	`7.8438`	`7512.23014427`
`EX5_4_4`	`0.0508`	`11841.60921275`
`EX6_1_1`	`0.0313`	`-0.02019831`
`EX6_1_2`	`0.0352`	`-0.03246375`
`EX6_1_4`	`0.0352`	`-0.29454129`
`EX6_2_11`	`0.0313`	`-0.00000267`
`EX6_2_12`	`0.0469`	`0.28919475`
`EX6_2_13`	`0.0156`	`-0.21620944`
`EX6_2_14`	`0.0273`	`-0.69535793`
`EX6_2_5`	`0.1406`	`-70.75207783`
`EX6_2_7`	`0.0469`	`-0.16084762`
`EX6_2_8`	`0.0352`	`-0.02700635`
`EX6_2_9`	`0.0313`	`-0.03406618`
`EX7_2_1`	`3.5156`	`1227.22602670`
`EX7_2_2`	`0.0313`	`-0.38881144`
`EX7_2_3`	`0.0508`	`7049.24625046`
`EX7_2_4`	`0.0469`	`4.20285303`
`EX7_3_2`	`0.0313`	`1.08986390`
`EX7_3_3`	`0.0156`	`1.14477980`
`EX7_3_4`	`0.0313`	`10.00000000`
`EX7_3_5`	`0.0313`	`1.20689655`
`EX8_1_1`	`0.0313`	`-2.02180678`
`EX8_1_2`	`0.0156`	`2.80345848`
`EX8_1_3`	`0.0313`	`30.00000000`
`EX8_1_7`	`0.0625`	`0.02931083`
`EX8_1_8`	`0.0352`	`-0.38881144`
`EX8_3_6`	`0.5313`	`-0.50000000`
`EX8_3_9`	`0.3281`	`-0.75926547`
`EX8_4_1`	`0.0313`	`0.61857276`
`EX8_4_2`	`0.0469`	`0.48515249`
`EX8_4_3`	`0.3867`	`0.00464972`
`EX8_4_4`	`0.0313`	`0.21245984`
`EX8_4_5`	`0.0625`	`0.00122530`
`EX8_4_7`	`0.1563`	`29.04733739`
`EX8_4_8`	`0.0938`	`3.32184733`
`EX9_1_4`	`0.0313`	`-37.00000000`
`EX9_1_5`	`0.0313`	`4.00000000`
`EX9_1_8`	`0.0273`	`-3.25000000`
`EX9_2_1`	`0.0313`	`16.99999921`
`EX9_2_3`	`0.0313`	`5.00000000`
`EX9_2_4`	`0.0313`	`0.50000000`
`EX9_2_6`	`0.0781`	`-1.00000000`
`EX9_2_7`	`0.0273`	`16.99999921`
`EX9_2_8`	`0.0156`	`1.50000000`

SNOPT: infeas: Back to top

Modelname	SNOPT	Status (SNOPT)
`EX5_3_2`	`0.0273`	`mstat( 5) sstat( 1)`
`EX5_3_3`	`0.0313`	`mstat( 5) sstat( 1)`
`EX5_4_3`	`0.0273`	`mstat( 5) sstat( 1)`

SNOPT: unbnd: Back to top

Modelname	SNOPT	Status (SNOPT)
`EX8_2_1`	`0.1250`	`mstat( 3) sstat( 1)`

SNOPT: f: Back to top

Modelname	SNOPT	Status (SNOPT)
`EX6_1_3`	`0.0313`	`mstat( 7) sstat( 5)`
`EX6_2_10`	`0.0313`	`mstat( 7) sstat( 5)`
`EX8_2_4`	`0.5625`	`mstat( 7) sstat( 4)`
`EX8_4_6`	`0.0313`	`mstat( 7) sstat( 5)`
`EX8_5_1`	`0.0313`	`mstat( 7) sstat( 5)`
`EX8_5_3`	`0.0313`	`mstat( 7) sstat( 5)`

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`	`1.00000000`
`EX14_1_7`	`0.5150`	`7.04274947`
`EX14_1_8`	`0.6090`	`0.04141589`
`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`	`133718.84489665`
`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`	`25287.00000000`
`EX2_1_9`	`1.0630`	`-0.37500000`
`EX3_1_1`	`0.8750`	`7049.24801046`
`EX3_1_2`	`1.2970`	`-30665.53867179`
`EX3_1_3`	`0.4680`	`-310.00000000`
`EX3_1_4`	`0.7970`	`-4.00000000`
`EX4_1_1`	`0.7030`	`-0.51997806`
`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`	`0.00000000`
`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`	`0.00000000`
`EX5_2_2_CASE2`	`1.3910`	`0.00000000`
`EX5_2_2_CASE3`	`0.8120`	`0.00000000`
`EX5_2_4`	`0.4840`	`-100.00000000`
`EX5_2_5`	`4.2970`	`-1900.00000000`
`EX5_3_2`	`1.1100`	`0.99790000`
`EX5_3_3`	`5.6250`	`1.68776000`
`EX5_4_2`	`6.3590`	`7512.23014427`
`EX5_4_3`	`1.0930`	`5164.19689028`
`EX5_4_4`	`4.1870`	`11841.60921275`
`EX6_1_1`	`0.6560`	`-0.02019831`
`EX6_1_2`	`1.4210`	`-0.03246375`
`EX6_1_3`	`0.6100`	`-0.35249770`
`EX6_1_4`	`0.5780`	`-0.29454129`
`EX6_2_10`	`2.7350`	`-3.05197611`
`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`	`-0.69535793`
`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`	`1227.22602670`
`EX7_2_2`	`0.9850`	`-0.38881144`
`EX7_2_3`	`0.7500`	`7049.24625046`
`EX7_2_4`	`4.5310`	`4.20285303`
`EX7_3_2`	`0.3440`	`1.08986390`
`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`	`2.80345848`
`EX8_1_3`	`1.2030`	`30.00000000`
`EX8_1_7`	`2.1400`	`0.02931083`
`EX8_1_8`	`0.8440`	`-0.38881144`
`EX8_2_1`	`9.1250`	`0.10450928`
`EX8_2_4`	`17.5630`	`1.95733641`
`EX8_3_6`	`20.6410`	`-0.50000000`
`EX8_3_9`	`25.5470`	`-0.75926547`
`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`	`0.00122530`
`EX8_4_6`	`4.1560`	`1.94679186`
`EX8_4_7`	`8.0780`	`29.04733739`
`EX8_4_8`	`13.4530`	`3.32184733`
`EX8_5_1`	`1.1250`	`-0.24781247`
`EX8_5_3`	`2.5000`	`1.86891942`
`EX9_1_4`	`0.4370`	`-37.00000000`
`EX9_1_5`	`0.4690`	`4.00000000`
`EX9_1_8`	`0.4840`	`-3.25000000`
`EX9_2_1`	`2.5000`	`16.99999921`
`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`	`16.99999921`
`EX9_2_8`	`0.6250`	`1.50000000`