Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 11/15/02 12:53:10

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

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

Result Totals in Percent:

Solver	% models optimal	% models feasible	% models infeasible	% models unbounded	% models fail
MINOS	`-`	`88.89`	`3.03`	`-`	`8.08`
ALL/OQNLP	`-`	`100.00`	`-`	`-`	`-`

Result Totals in Number of Models:

	optimal	feasible	infeasible	unbounded	fail	total MINOS
optimal	-	-	-	-	-	`-`
feasible	-	`88`	-	-	-	`88`
infeasible	-	`3`	-	-	-	`3`
unbounded	-	-	-	-	-	`-`
fail	-	`8`	-	-	-	`8`
total ALL/OQNLP	`-`	`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.

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

Modelname	MINOS	ALL/OQNLP	Ratio (MINOS/ALL/OQNLP)	Obj (MINOS)	Obj (ALL/OQNLP)
`EX14_1_1`	`0.2031`	`0.9380`	`0.217`	`0.00000000`	`0.00000000`
`EX14_1_2`	`0.0781`	`0.6880`	`0.114`	`0.00000000`	`0.00000000`
`EX14_1_3`	`0.0469`	`0.4060`	`0.115`	`0.00000000`	`0.00000000`
`EX14_1_5`	`0.0313`	`0.3440`	`0.091`	`0.00000000`	`0.00000000`
`EX14_1_6`	`0.0469`	`0.4220`	`0.111`	`1.00000000`	`0.00000000`
`EX14_1_7`	`0.0313`	`0.5150`	`0.061`	`7.04274947`	`0.13499021`
`EX14_1_8`	`0.0352`	`0.6090`	`0.058`	`0.04141589`	`0.00000000`
`EX14_1_9`	`0.0313`	`0.2660`	`0.117`	`0.00000000`	`0.00000000`
`EX14_2_1`	`0.0313`	`0.5000`	`0.063`	`0.00000000`	`0.00000000`
`EX14_2_2`	`0.0273`	`0.3280`	`0.083`	`0.00000000`	`0.00000000`
`EX14_2_3`	`0.0313`	`0.7340`	`0.043`	`0.00000000`	`0.00000000`
`EX14_2_4`	`0.0313`	`0.6250`	`0.050`	`0.00000000`	`0.00000000`
`EX14_2_5`	`0.0273`	`0.3440`	`0.079`	`0.00000000`	`0.00000000`
`EX14_2_6`	`0.0313`	`0.6100`	`0.051`	`0.00000000`	`0.00000000`
`EX14_2_7`	`0.0313`	`0.8900`	`0.035`	`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`	`0.0313`	`1.0630`	`0.029`	`-17.00000000`	`-17.00000000`
`EX2_1_10`	`0.0156`	`0.8750`	`0.018`	`133718.84489665`	`49318.01795841`
`EX2_1_2`	`0.0117`	`0.6880`	`0.017`	`-213.00000000`	`-213.00000000`
`EX2_1_3`	`0.0156`	`0.6400`	`0.024`	`-15.00000000`	`-15.00000000`
`EX2_1_4`	`0.0195`	`0.6400`	`0.031`	`-11.00000000`	`-11.00000000`
`EX2_1_5`	`0.0156`	`1.1560`	`0.014`	`-268.01463154`	`-268.01463154`
`EX2_1_6`	`0.0313`	`0.9530`	`0.033`	`-39.00000000`	`-39.00000000`
`EX2_1_7`	`0.0273`	`0.8590`	`0.032`	`-4150.41013393`	`-4150.41013393`
`EX2_1_8`	`0.0156`	`2.9840`	`0.005`	`25287.00000000`	`15639.00000000`
`EX2_1_9`	`0.0313`	`0.9530`	`0.033`	`-0.37500000`	`-0.37500000`
`EX3_1_1`	`0.0313`	`0.8750`	`0.036`	`7049.24802053`	`7049.24801988`
`EX3_1_2`	`0.0313`	`1.0930`	`0.029`	`-30665.53867179`	`-30665.53867178`
`EX3_1_3`	`0.0313`	`0.4680`	`0.067`	`-310.00000000`	`-310.00000000`
`EX3_1_4`	`0.0313`	`0.7970`	`0.039`	`-4.00000000`	`-4.00000000`
`EX4_1_1`	`0.0352`	`0.7030`	`0.050`	`-7.48731236`	`-7.48731236`
`EX4_1_2`	`0.0313`	`0.7810`	`0.040`	`-663.50009661`	`-663.50009661`
`EX4_1_3`	`0.0156`	`0.6880`	`0.023`	`-443.67170474`	`-443.67170474`
`EX4_1_4`	`0.0156`	`0.8430`	`0.019`	`0.00000000`	`0.00000000`
`EX4_1_5`	`0.0117`	`4.0150`	`0.003`	`0.00000000`	`-8.8333333313330E+19`
`EX4_1_6`	`0.0313`	`0.5930`	`0.053`	`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`	`0.0156`	`0.8440`	`0.019`	`-5.50801327`	`-5.50801327`
`EX5_2_2_CASE1`	`0.0313`	`0.6720`	`0.047`	`0.00000000`	`-400.00000000`
`EX5_2_2_CASE2`	`0.0313`	`1.3910`	`0.022`	`0.00000000`	`0.00000000`
`EX5_2_2_CASE3`	`0.0156`	`0.5780`	`0.027`	`0.00000000`	`-750.00000000`
`EX5_2_4`	`0.0313`	`0.4840`	`0.065`	`-100.00000000`	`-450.00000000`
`EX5_2_5`	`0.0352`	`4.1410`	`0.008`	`-1900.00000000`	`-3500.00000000`
`EX5_4_2`	`0.1250`	`0.6710`	`0.186`	`7512.23014450`	`7512.23014450`
`EX5_4_3`	`0.0781`	`1.0930`	`0.071`	`5937.43734771`	`4845.46200496`
`EX5_4_4`	`0.1094`	`3.6880`	`0.030`	`10077.77540384`	`10077.77540384`
`EX6_1_1`	`0.0273`	`0.6560`	`0.042`	`-0.02019831`	`-0.02019831`
`EX6_1_2`	`0.0313`	`1.2180`	`0.026`	`-0.03246375`	`-0.03246375`
`EX6_1_3`	`0.0273`	`0.6100`	`0.045`	`-0.35249780`	`-0.35249770`
`EX6_1_4`	`0.0352`	`0.5780`	`0.061`	`-0.29454129`	`-0.29454129`
`EX6_2_11`	`0.0352`	`0.5310`	`0.066`	`-0.00000267`	`-0.00000267`
`EX6_2_12`	`0.0313`	`0.7180`	`0.044`	`0.28919475`	`0.28919475`
`EX6_2_14`	`0.0313`	`0.7810`	`0.040`	`-0.69535793`	`-0.69535802`
`EX6_2_5`	`0.0586`	`1.2190`	`0.048`	`-70.75207783`	`-70.75207783`
`EX6_2_7`	`0.0313`	`1.0000`	`0.031`	`-0.16084762`	`-0.16084762`
`EX6_2_8`	`0.0156`	`0.7500`	`0.021`	`-0.02700635`	`-0.02700635`
`EX6_2_9`	`0.0313`	`0.8130`	`0.038`	`-0.03406618`	`-0.03406618`
`EX7_2_1`	`0.0469`	`4.6560`	`0.010`	`1227.22606413`	`1227.21419311`
`EX7_2_2`	`0.0820`	`0.9680`	`0.085`	`-0.38881144`	`-0.38881143`
`EX7_2_3`	`0.0938`	`0.7500`	`0.125`	`7049.22164027`	`7049.24843970`
`EX7_2_4`	`0.0938`	`3.8440`	`0.024`	`4.20285304`	`3.91801023`
`EX7_3_2`	`0.0469`	`0.3440`	`0.136`	`1.08986397`	`1.08986390`
`EX7_3_3`	`0.0781`	`2.1560`	`0.036`	`1.14477980`	`1.14477980`
`EX7_3_4`	`0.0313`	`0.7190`	`0.043`	`10.00000000`	`10.00000000`
`EX8_1_1`	`0.0273`	`0.9060`	`0.030`	`-2.02180678`	`-2.02180678`
`EX8_1_2`	`0.0156`	`0.9370`	`0.017`	`2.80345848`	`-1.07086102`
`EX8_1_3`	`0.0156`	`1.1560`	`0.014`	`30.00000000`	`30.00000000`
`EX8_1_7`	`0.0625`	`2.1400`	`0.029`	`0.02931083`	`0.02931083`
`EX8_1_8`	`0.0508`	`0.8440`	`0.060`	`-0.38881144`	`-0.38881143`
`EX8_3_6`	`1.3281`	`4.4060`	`0.301`	`-0.50000000`	`-10000.00000000`
`EX8_3_9`	`0.8125`	`15.5780`	`0.052`	`-0.76300193`	`-0.76300193`
`EX8_4_1`	`0.0352`	`1.6090`	`0.022`	`0.61857276`	`0.61857276`
`EX8_4_2`	`0.0469`	`2.7350`	`0.017`	`0.48515249`	`0.48515249`
`EX8_4_3`	`0.0742`	`4.4380`	`0.017`	`0.00464972`	`0.00464972`
`EX8_4_4`	`0.0313`	`1.1710`	`0.027`	`0.21245984`	`0.21245984`
`EX8_4_5`	`0.0781`	`1.2810`	`0.061`	`0.00030749`	`0.00030749`
`EX8_4_7`	`0.0664`	`7.9850`	`0.008`	`29.04730672`	`29.04730672`
`EX9_1_4`	`0.0313`	`0.4370`	`0.072`	`-37.00000000`	`-37.00000000`
`EX9_1_5`	`0.0156`	`0.4690`	`0.033`	`-1.00000000`	`-1.00000000`
`EX9_1_8`	`0.0313`	`0.4840`	`0.065`	`-3.25000000`	`-3.25000000`
`EX9_2_1`	`0.0664`	`2.5000`	`0.027`	`17.00000000`	`16.99999921`
`EX9_2_3`	`0.0313`	`7.5470`	`0.004`	`5.00000000`	`0.00000000`
`EX9_2_4`	`0.0352`	`1.6090`	`0.022`	`0.50000000`	`0.50000000`
`EX9_2_6`	`0.0313`	`0.4690`	`0.067`	`-1.00000000`	`-1.00000000`
`EX9_2_7`	`0.0313`	`2.4850`	`0.013`	`17.00000000`	`16.99999921`
`EX9_2_8`	`0.0313`	`0.5630`	`0.056`	`1.50000000`	`1.50000000`

MINOS: infeas -- ALL/OQNLP: feas Back to top

Modelname	MINOS	ALL/OQNLP	Ratio (MINOS/ALL/OQNLP)	Status (MINOS)	Obj (ALL/OQNLP)
`EX5_3_2`	`0.0430`	`1.1100`	---	`mstat( 5) sstat( 1)`	`1.86415946`
`EX5_3_3`	`0.0469`	`5.6250`	---	`mstat( 5) sstat( 1)`	`3.23401822`
`EX7_3_5`	`0.0469`	`1.0310`	---	`mstat( 5) sstat( 1)`	`0.00000000`

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

Modelname	MINOS	ALL/OQNLP	Ratio (MINOS/ALL/OQNLP)	Status (MINOS)	Obj (ALL/OQNLP)
`EX6_2_10`	`0.0313`	`1.0160`	---	`mstat( 7) sstat( 5)`	`-3.05197613`
`EX6_2_13`	`0.0313`	`2.2970`	---	`mstat( 7) sstat( 5)`	`-0.21620944`
`EX8_2_1`	`0.0469`	`8.7340`	---	`mstat( 7) sstat( 4)`	`82.02227807`
`EX8_2_4`	`20.0000`	`18.9060`	---	`mstat( 7) sstat( 3)`	`79.77859605`
`EX8_4_6`	`0.0313`	`5.0310`	---	`mstat( 7) sstat( 5)`	`0.00110498`
`EX8_4_8`	`0.0313`	`2.4690`	---	`mstat( 7) sstat( 5)`	`0.00000000`
`EX8_5_1`	`0.0313`	`1.1250`	---	`mstat( 7) sstat( 5)`	`-0.51176764`
`EX8_5_3`	`0.0313`	`2.0000`	---	`mstat( 7) sstat( 5)`	`-0.00413543`

MINOS: feas: Back to top

Modelname	MINOS	Obj (MINOS)
`EX14_1_1`	`0.2031`	`0.00000000`
`EX14_1_2`	`0.0781`	`0.00000000`
`EX14_1_3`	`0.0469`	`0.00000000`
`EX14_1_5`	`0.0313`	`0.00000000`
`EX14_1_6`	`0.0469`	`1.00000000`
`EX14_1_7`	`0.0313`	`7.04274947`
`EX14_1_8`	`0.0352`	`0.04141589`
`EX14_1_9`	`0.0313`	`0.00000000`
`EX14_2_1`	`0.0313`	`0.00000000`
`EX14_2_2`	`0.0273`	`0.00000000`
`EX14_2_3`	`0.0313`	`0.00000000`
`EX14_2_4`	`0.0313`	`0.00000000`
`EX14_2_5`	`0.0273`	`0.00000000`
`EX14_2_6`	`0.0313`	`0.00000000`
`EX14_2_7`	`0.0313`	`0.00000000`
`EX14_2_8`	`0.0313`	`0.00000000`
`EX14_2_9`	`0.0313`	`0.00000000`
`EX2_1_1`	`0.0313`	`-17.00000000`
`EX2_1_10`	`0.0156`	`133718.84489665`
`EX2_1_2`	`0.0117`	`-213.00000000`
`EX2_1_3`	`0.0156`	`-15.00000000`
`EX2_1_4`	`0.0195`	`-11.00000000`
`EX2_1_5`	`0.0156`	`-268.01463154`
`EX2_1_6`	`0.0313`	`-39.00000000`
`EX2_1_7`	`0.0273`	`-4150.41013393`
`EX2_1_8`	`0.0156`	`25287.00000000`
`EX2_1_9`	`0.0313`	`-0.37500000`
`EX3_1_1`	`0.0313`	`7049.24802053`
`EX3_1_2`	`0.0313`	`-30665.53867179`
`EX3_1_3`	`0.0313`	`-310.00000000`
`EX3_1_4`	`0.0313`	`-4.00000000`
`EX4_1_1`	`0.0352`	`-7.48731236`
`EX4_1_2`	`0.0313`	`-663.50009661`
`EX4_1_3`	`0.0156`	`-443.67170474`
`EX4_1_4`	`0.0156`	`0.00000000`
`EX4_1_5`	`0.0117`	`0.00000000`
`EX4_1_6`	`0.0313`	`7.00000000`
`EX4_1_7`	`0.0352`	`-7.50000000`
`EX4_1_8`	`0.0313`	`-16.73889318`
`EX4_1_9`	`0.0156`	`-5.50801327`
`EX5_2_2_CASE1`	`0.0313`	`0.00000000`
`EX5_2_2_CASE2`	`0.0313`	`0.00000000`
`EX5_2_2_CASE3`	`0.0156`	`0.00000000`
`EX5_2_4`	`0.0313`	`-100.00000000`
`EX5_2_5`	`0.0352`	`-1900.00000000`
`EX5_4_2`	`0.1250`	`7512.23014450`
`EX5_4_3`	`0.0781`	`5937.43734771`
`EX5_4_4`	`0.1094`	`10077.77540384`
`EX6_1_1`	`0.0273`	`-0.02019831`
`EX6_1_2`	`0.0313`	`-0.03246375`
`EX6_1_3`	`0.0273`	`-0.35249780`
`EX6_1_4`	`0.0352`	`-0.29454129`
`EX6_2_11`	`0.0352`	`-0.00000267`
`EX6_2_12`	`0.0313`	`0.28919475`
`EX6_2_14`	`0.0313`	`-0.69535793`
`EX6_2_5`	`0.0586`	`-70.75207783`
`EX6_2_7`	`0.0313`	`-0.16084762`
`EX6_2_8`	`0.0156`	`-0.02700635`
`EX6_2_9`	`0.0313`	`-0.03406618`
`EX7_2_1`	`0.0469`	`1227.22606413`
`EX7_2_2`	`0.0820`	`-0.38881144`
`EX7_2_3`	`0.0938`	`7049.22164027`
`EX7_2_4`	`0.0938`	`4.20285304`
`EX7_3_2`	`0.0469`	`1.08986397`
`EX7_3_3`	`0.0781`	`1.14477980`
`EX7_3_4`	`0.0313`	`10.00000000`
`EX8_1_1`	`0.0273`	`-2.02180678`
`EX8_1_2`	`0.0156`	`2.80345848`
`EX8_1_3`	`0.0156`	`30.00000000`
`EX8_1_7`	`0.0625`	`0.02931083`
`EX8_1_8`	`0.0508`	`-0.38881144`
`EX8_3_6`	`1.3281`	`-0.50000000`
`EX8_3_9`	`0.8125`	`-0.76300193`
`EX8_4_1`	`0.0352`	`0.61857276`
`EX8_4_2`	`0.0469`	`0.48515249`
`EX8_4_3`	`0.0742`	`0.00464972`
`EX8_4_4`	`0.0313`	`0.21245984`
`EX8_4_5`	`0.0781`	`0.00030749`
`EX8_4_7`	`0.0664`	`29.04730672`
`EX9_1_4`	`0.0313`	`-37.00000000`
`EX9_1_5`	`0.0156`	`-1.00000000`
`EX9_1_8`	`0.0313`	`-3.25000000`
`EX9_2_1`	`0.0664`	`17.00000000`
`EX9_2_3`	`0.0313`	`5.00000000`
`EX9_2_4`	`0.0352`	`0.50000000`
`EX9_2_6`	`0.0313`	`-1.00000000`
`EX9_2_7`	`0.0313`	`17.00000000`
`EX9_2_8`	`0.0313`	`1.50000000`

MINOS: infeas: Back to top

Modelname	MINOS	Status (MINOS)
`EX5_3_2`	`0.0430`	`mstat( 5) sstat( 1)`
`EX5_3_3`	`0.0469`	`mstat( 5) sstat( 1)`
`EX7_3_5`	`0.0469`	`mstat( 5) sstat( 1)`

MINOS: f: Back to top

Modelname	MINOS	Status (MINOS)
`EX6_2_10`	`0.0313`	`mstat( 7) sstat( 5)`
`EX6_2_13`	`0.0313`	`mstat( 7) sstat( 5)`
`EX8_2_1`	`0.0469`	`mstat( 7) sstat( 4)`
`EX8_2_4`	`20.0000`	`mstat( 7) sstat( 3)`
`EX8_4_6`	`0.0313`	`mstat( 7) sstat( 5)`
`EX8_4_8`	`0.0313`	`mstat( 7) sstat( 5)`
`EX8_5_1`	`0.0313`	`mstat( 7) sstat( 5)`
`EX8_5_3`	`0.0313`	`mstat( 7) sstat( 5)`

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`	`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`	`1.0630`	`-17.00000000`
`EX2_1_10`	`0.8750`	`133718.84489665`
`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`	`25287.00000000`
`EX2_1_9`	`0.9530`	`-0.37500000`
`EX3_1_1`	`0.8750`	`7049.24802053`
`EX3_1_2`	`1.0930`	`-30665.53867179`
`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`	`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`	`0.8440`	`-5.50801327`
`EX5_2_2_CASE1`	`0.6720`	`0.00000000`
`EX5_2_2_CASE2`	`1.3910`	`0.00000000`
`EX5_2_2_CASE3`	`0.5780`	`0.00000000`
`EX5_2_4`	`0.4840`	`-100.00000000`
`EX5_2_5`	`4.1410`	`-1900.00000000`
`EX5_3_2`	`1.1100`	`0.99790000`
`EX5_3_3`	`5.6250`	`1.68776000`
`EX5_4_2`	`0.6710`	`7512.23014450`
`EX5_4_3`	`1.0930`	`5937.43734771`
`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`	`-0.35249780`
`EX6_1_4`	`0.5780`	`-0.29454129`
`EX6_2_10`	`1.0160`	`-3.05122548`
`EX6_2_11`	`0.5310`	`-0.00000267`
`EX6_2_12`	`0.7180`	`0.28919475`
`EX6_2_13`	`2.2970`	`-0.21020929`
`EX6_2_14`	`0.7810`	`-0.69535793`
`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`	`1227.22606413`
`EX7_2_2`	`0.9680`	`-0.38881144`
`EX7_2_3`	`0.7500`	`7049.22164027`
`EX7_2_4`	`3.8440`	`4.20285304`
`EX7_3_2`	`0.3440`	`1.08986397`
`EX7_3_3`	`2.1560`	`1.14477980`
`EX7_3_4`	`0.7190`	`10.00000000`
`EX7_3_5`	`1.0310`	`1.20573576`
`EX8_1_1`	`0.9060`	`-2.02180678`
`EX8_1_2`	`0.9370`	`2.80345848`
`EX8_1_3`	`1.1560`	`30.00000000`
`EX8_1_7`	`2.1400`	`0.02931083`
`EX8_1_8`	`0.8440`	`-0.38881144`
`EX8_2_1`	`8.7340`	`0.00010520`
`EX8_2_4`	`18.9060`	`0.00002139`
`EX8_3_6`	`4.4060`	`-0.50000000`
`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`	`100000015.22734100`
`EX8_4_7`	`7.9850`	`29.04730672`
`EX8_4_8`	`2.4690`	`171.62156319`
`EX8_5_1`	`1.1250`	`2.23023110`
`EX8_5_3`	`2.0000`	`24549.84500630`
`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`	`7.5470`	`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`	`0.5630`	`1.50000000`