Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 11/15/02 12:53:08

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

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

Result Totals in Percent:

Solver	% models optimal	% models feasible	% models infeasible	% models unbounded	% models fail
CONOPT	`-`	`89.90`	`5.05`	`-`	`5.05`
OQNLP/MINOS	`-`	`100.00`	`-`	`-`	`-`

Result Totals in Number of Models:

	optimal	feasible	infeasible	unbounded	fail	total CONOPT
optimal	-	-	-	-	-	`-`
feasible	-	`89`	-	-	-	`89`
infeasible	-	`5`	-	-	-	`5`
unbounded	-	-	-	-	-	`-`
fail	-	`5`	-	-	-	`5`
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.

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

Modelname	CONOPT	OQNLP/MINOS	Ratio (CONOPT/OQNLP/MINOS)	Obj (CONOPT)	Obj (OQNLP/MINOS)
`EX14_1_1`	`0.0508`	`1.0310`	`0.049`	`0.00000000`	`0.00000000`
`EX14_1_2`	`0.0430`	`0.8280`	`0.052`	`0.00000000`	`0.00000000`
`EX14_1_3`	`0.0625`	`0.5000`	`0.125`	`0.00000000`	`0.00000000`
`EX14_1_5`	`0.0430`	`0.3750`	`0.115`	`0.00000000`	`0.00000000`
`EX14_1_6`	`0.0781`	`0.4680`	`0.167`	`1.00000000`	`0.00000000`
`EX14_1_7`	`0.0313`	`0.7190`	`0.043`	`7.04274947`	`0.13499021`
`EX14_1_8`	`0.0273`	`0.6560`	`0.042`	`0.04141589`	`0.00000000`
`EX14_1_9`	`0.0313`	`0.2970`	`0.105`	`0.00000000`	`0.00000000`
`EX14_2_1`	`0.0508`	`0.6100`	`0.083`	`0.00000000`	`0.00000000`
`EX14_2_2`	`0.0273`	`0.3900`	`0.070`	`0.00000000`	`0.00000000`
`EX14_2_3`	`0.0469`	`0.8130`	`0.058`	`0.00000000`	`0.00000000`
`EX14_2_4`	`0.0391`	`0.8440`	`0.046`	`0.00000000`	`0.00000000`
`EX14_2_5`	`0.0586`	`0.4220`	`0.139`	`0.00000000`	`0.00000000`
`EX14_2_6`	`0.0508`	`0.7340`	`0.069`	`0.00000000`	`0.00000000`
`EX14_2_7`	`0.0391`	`0.8910`	`0.044`	`0.00000000`	`0.00000000`
`EX14_2_8`	`0.0508`	`0.5000`	`0.102`	`0.00000000`	`0.00000000`
`EX14_2_9`	`0.0313`	`0.5160`	`0.061`	`0.00000000`	`0.00000000`
`EX2_1_1`	`0.0508`	`1.0630`	`0.048`	`-17.00000000`	`-17.00000000`
`EX2_1_10`	`0.0508`	`0.9530`	`0.053`	`49318.01795841`	`49318.01795841`
`EX2_1_2`	`0.0586`	`0.6880`	`0.085`	`-213.00000000`	`-213.00000000`
`EX2_1_3`	`0.0508`	`0.6400`	`0.079`	`-15.00000000`	`-15.00000000`
`EX2_1_4`	`0.0625`	`0.6400`	`0.098`	`-11.00000000`	`-11.00000000`
`EX2_1_5`	`0.0313`	`1.3120`	`0.024`	`-268.01463154`	`-268.01463154`
`EX2_1_6`	`0.0313`	`0.9530`	`0.033`	`-39.00000000`	`-39.00000000`
`EX2_1_7`	`0.0508`	`0.8590`	`0.059`	`-4150.41013393`	`-4150.41013393`
`EX2_1_8`	`0.0313`	`2.0310`	`0.015`	`25287.00000000`	`20560.00000000`
`EX2_1_9`	`0.0430`	`0.9530`	`0.045`	`-0.37500000`	`-0.37500000`
`EX3_1_1`	`0.0391`	`1.4530`	`0.027`	`7049.24802053`	`7049.24802053`
`EX3_1_2`	`0.0508`	`1.0930`	`0.046`	`-30665.53867178`	`-30665.53867178`
`EX3_1_3`	`0.0391`	`0.5310`	`0.074`	`-310.00000000`	`-310.00000000`
`EX3_1_4`	`0.0508`	`0.8600`	`0.059`	`-4.00000000`	`-4.00000000`
`EX4_1_1`	`0.0469`	`0.8120`	`0.058`	`-7.48731237`	`-7.48731236`
`EX4_1_2`	`0.0703`	`0.7810`	`0.090`	`-663.50009661`	`-663.50009661`
`EX4_1_3`	`0.0508`	`0.7810`	`0.065`	`-443.67170474`	`-443.67170474`
`EX4_1_4`	`0.0391`	`0.8430`	`0.046`	`0.00000000`	`0.00000000`
`EX4_1_5`	`0.0313`	`4.1090`	`0.008`	`0.00000000`	`-8.8333333313334E+19`
`EX4_1_6`	`0.0313`	`0.6880`	`0.045`	`7.00000000`	`7.00000000`
`EX4_1_7`	`0.0508`	`0.9380`	`0.054`	`-7.50000000`	`-7.50000000`
`EX4_1_8`	`0.0313`	`0.5150`	`0.061`	`-16.73889318`	`-16.73889318`
`EX4_1_9`	`0.0508`	`0.8440`	`0.060`	`-5.50801327`	`-5.50801327`
`EX5_2_2_CASE1`	`0.0313`	`0.7340`	`0.043`	`0.00000000`	`-400.00000000`
`EX5_2_2_CASE2`	`0.0508`	`1.6560`	`0.031`	`0.00000000`	`0.00000000`
`EX5_2_2_CASE3`	`0.0313`	`0.5780`	`0.054`	`0.00000000`	`-750.00000000`
`EX5_2_4`	`0.0313`	`0.5940`	`0.053`	`0.00000000`	`-450.00000000`
`EX5_2_5`	`0.0703`	`6.5310`	`0.011`	`-3500.00000000`	`-3500.00000000`
`EX5_4_2`	`0.0391`	`0.9220`	`0.042`	`7512.23014450`	`7512.23014450`
`EX6_1_1`	`0.0313`	`0.6870`	`0.045`	`-0.02019831`	`-0.02019831`
`EX6_1_2`	`0.0508`	`1.2180`	`0.042`	`-0.03246375`	`-0.03246375`
`EX6_1_3`	`0.0430`	`0.8120`	`0.053`	`-0.35249780`	`-0.35249780`
`EX6_1_4`	`0.0313`	`0.6560`	`0.048`	`-0.29454129`	`-0.29454129`
`EX6_2_10`	`0.0391`	`1.0160`	`0.038`	`-3.05197613`	`-3.05197613`
`EX6_2_11`	`0.0469`	`0.5460`	`0.086`	`-0.00000267`	`-0.00000267`
`EX6_2_12`	`0.0313`	`0.7180`	`0.044`	`0.28919475`	`0.28919475`
`EX6_2_13`	`0.0508`	`2.2970`	`0.022`	`-0.21620944`	`-0.21620944`
`EX6_2_14`	`0.0391`	`0.7810`	`0.050`	`-0.69535793`	`-0.69535802`
`EX6_2_5`	`0.1289`	`1.3750`	`0.094`	`-70.75207783`	`-70.75207783`
`EX6_2_7`	`0.0703`	`1.0000`	`0.070`	`-0.16084762`	`-0.16084762`
`EX6_2_8`	`0.0313`	`0.7500`	`0.042`	`-0.02700635`	`-0.02700635`
`EX6_2_9`	`0.0313`	`0.8130`	`0.038`	`-0.03406618`	`-0.03406618`
`EX7_2_1`	`0.0586`	`2.0310`	`0.029`	`1227.22607914`	`1227.22607553`
`EX7_2_2`	`0.0430`	`0.9680`	`0.044`	`-0.37461370`	`-0.38881143`
`EX7_2_3`	`0.0508`	`0.8130`	`0.062`	`7049.24802053`	`7049.24824955`
`EX7_2_4`	`0.0703`	`3.8440`	`0.018`	`3.91801023`	`3.91801023`
`EX7_3_2`	`0.0273`	`0.4690`	`0.058`	`1.08986397`	`1.08986397`
`EX7_3_3`	`0.0508`	`2.1560`	`0.024`	`1.14477980`	`1.14477980`
`EX7_3_4`	`0.0430`	`0.8910`	`0.048`	`10.00000000`	`10.00000000`
`EX7_3_5`	`0.0625`	`1.2190`	`0.051`	`1.20689655`	`1.20689655`
`EX8_1_1`	`0.0391`	`0.9060`	`0.043`	`-2.02180678`	`-2.02180678`
`EX8_1_2`	`0.0508`	`0.9370`	`0.054`	`2.80345848`	`-1.07086102`
`EX8_1_3`	`0.0273`	`1.1560`	`0.024`	`30.00000000`	`30.00000000`
`EX8_1_8`	`0.0625`	`0.9060`	`0.069`	`-0.37461370`	`-0.38881143`
`EX8_3_6`	`0.1211`	`4.4060`	`0.027`	`-0.50000000`	`-10000.00000000`
`EX8_3_9`	`0.0586`	`18.1720`	`0.003`	`-0.74161985`	`-0.76300193`
`EX8_4_1`	`0.0391`	`1.6410`	`0.024`	`0.61857276`	`0.61857276`
`EX8_4_2`	`0.0586`	`2.9210`	`0.020`	`0.48515249`	`0.48515249`
`EX8_4_3`	`0.0469`	`4.4380`	`0.011`	`0.00464972`	`0.00464972`
`EX8_4_4`	`0.0703`	`1.2350`	`0.057`	`0.21245984`	`0.21245984`
`EX8_4_5`	`0.0625`	`1.5780`	`0.040`	`0.00122530`	`0.00030749`
`EX8_4_7`	`0.1289`	`7.9850`	`0.016`	`29.04730672`	`29.04730672`
`EX8_4_8`	`0.1406`	`2.4690`	`0.057`	`3.32184731`	`0.00000000`
`EX9_1_4`	`0.0273`	`0.9850`	`0.028`	`-37.00000000`	`-37.00000000`
`EX9_1_5`	`0.0469`	`0.5150`	`0.091`	`-1.00000000`	`-1.00000000`
`EX9_1_8`	`0.0508`	`0.5000`	`0.102`	`-3.25000000`	`-3.25000000`
`EX9_2_1`	`0.0391`	`2.6870`	`0.015`	`17.00000000`	`17.00000000`
`EX9_2_3`	`0.0508`	`5.8910`	`0.009`	`5.00000000`	`5.00000000`
`EX9_2_4`	`0.0391`	`1.9530`	`0.020`	`0.50000000`	`0.50000000`
`EX9_2_6`	`0.0313`	`0.5780`	`0.054`	`-1.00000000`	`-1.00000000`
`EX9_2_7`	`0.0508`	`2.8120`	`0.018`	`17.00000000`	`17.00000000`
`EX9_2_8`	`0.0508`	`0.5630`	`0.090`	`1.50000000`	`1.50000000`

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

Modelname	CONOPT	OQNLP/MINOS	Ratio (CONOPT/OQNLP/MINOS)	Status (CONOPT)	Obj (OQNLP/MINOS)
`EX5_3_2`	`0.0313`	`1.2500`	---	`mstat( 5) sstat( 1)`	`1.86415946`
`EX5_3_3`	`0.0313`	`20.3130`	---	`mstat( 5) sstat( 1)`	`3.23401822`
`EX5_4_3`	`0.0703`	`1.1720`	---	`mstat( 5) sstat( 1)`	`4845.46200496`
`EX5_4_4`	`0.0508`	`3.6880`	---	`mstat( 5) sstat( 1)`	`10077.77540384`
`EX8_1_7`	`0.0313`	`2.2810`	---	`mstat( 5) sstat( 1)`	`0.02931083`

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

Modelname	CONOPT	OQNLP/MINOS	Ratio (CONOPT/OQNLP/MINOS)	Status (CONOPT)	Obj (OQNLP/MINOS)
`EX8_2_1`	`0.1602`	`8.7340`	---	`mstat( 6) sstat( 4)`	`82.02227807`
`EX8_2_4`	`0.2305`	`18.9060`	---	`mstat( 6) sstat( 4)`	`79.77859605`
`EX8_4_6`	`0.1094`	`0.8120`	---	`mstat( 6) sstat( 4)`	`100000002.22501400`
`EX8_5_1`	`0.0508`	`0.6560`	---	`mstat( 6) sstat( 4)`	`0.31733169`
`EX8_5_3`	`0.0313`	`3.9690`	---	`mstat( 6) sstat( 4)`	`72398.80183915`

CONOPT: feas: Back to top

Modelname	CONOPT	Obj (CONOPT)
`EX14_1_1`	`0.0508`	`0.00000000`
`EX14_1_2`	`0.0430`	`0.00000000`
`EX14_1_3`	`0.0625`	`0.00000000`
`EX14_1_5`	`0.0430`	`0.00000000`
`EX14_1_6`	`0.0781`	`1.00000000`
`EX14_1_7`	`0.0313`	`7.04274947`
`EX14_1_8`	`0.0273`	`0.04141589`
`EX14_1_9`	`0.0313`	`0.00000000`
`EX14_2_1`	`0.0508`	`0.00000000`
`EX14_2_2`	`0.0273`	`0.00000000`
`EX14_2_3`	`0.0469`	`0.00000000`
`EX14_2_4`	`0.0391`	`0.00000000`
`EX14_2_5`	`0.0586`	`0.00000000`
`EX14_2_6`	`0.0508`	`0.00000000`
`EX14_2_7`	`0.0391`	`0.00000000`
`EX14_2_8`	`0.0508`	`0.00000000`
`EX14_2_9`	`0.0313`	`0.00000000`
`EX2_1_1`	`0.0508`	`-17.00000000`
`EX2_1_10`	`0.0508`	`49318.01795841`
`EX2_1_2`	`0.0586`	`-213.00000000`
`EX2_1_3`	`0.0508`	`-15.00000000`
`EX2_1_4`	`0.0625`	`-11.00000000`
`EX2_1_5`	`0.0313`	`-268.01463154`
`EX2_1_6`	`0.0313`	`-39.00000000`
`EX2_1_7`	`0.0508`	`-4150.41013393`
`EX2_1_8`	`0.0313`	`25287.00000000`
`EX2_1_9`	`0.0430`	`-0.37500000`
`EX3_1_1`	`0.0391`	`7049.24802053`
`EX3_1_2`	`0.0508`	`-30665.53867178`
`EX3_1_3`	`0.0391`	`-310.00000000`
`EX3_1_4`	`0.0508`	`-4.00000000`
`EX4_1_1`	`0.0469`	`-7.48731237`
`EX4_1_2`	`0.0703`	`-663.50009661`
`EX4_1_3`	`0.0508`	`-443.67170474`
`EX4_1_4`	`0.0391`	`0.00000000`
`EX4_1_5`	`0.0313`	`0.00000000`
`EX4_1_6`	`0.0313`	`7.00000000`
`EX4_1_7`	`0.0508`	`-7.50000000`
`EX4_1_8`	`0.0313`	`-16.73889318`
`EX4_1_9`	`0.0508`	`-5.50801327`
`EX5_2_2_CASE1`	`0.0313`	`0.00000000`
`EX5_2_2_CASE2`	`0.0508`	`0.00000000`
`EX5_2_2_CASE3`	`0.0313`	`0.00000000`
`EX5_2_4`	`0.0313`	`0.00000000`
`EX5_2_5`	`0.0703`	`-3500.00000000`
`EX5_4_2`	`0.0391`	`7512.23014450`
`EX6_1_1`	`0.0313`	`-0.02019831`
`EX6_1_2`	`0.0508`	`-0.03246375`
`EX6_1_3`	`0.0430`	`-0.35249780`
`EX6_1_4`	`0.0313`	`-0.29454129`
`EX6_2_10`	`0.0391`	`-3.05197613`
`EX6_2_11`	`0.0469`	`-0.00000267`
`EX6_2_12`	`0.0313`	`0.28919475`
`EX6_2_13`	`0.0508`	`-0.21620944`
`EX6_2_14`	`0.0391`	`-0.69535793`
`EX6_2_5`	`0.1289`	`-70.75207783`
`EX6_2_7`	`0.0703`	`-0.16084762`
`EX6_2_8`	`0.0313`	`-0.02700635`
`EX6_2_9`	`0.0313`	`-0.03406618`
`EX7_2_1`	`0.0586`	`1227.22607914`
`EX7_2_2`	`0.0430`	`-0.37461370`
`EX7_2_3`	`0.0508`	`7049.24802053`
`EX7_2_4`	`0.0703`	`3.91801023`
`EX7_3_2`	`0.0273`	`1.08986397`
`EX7_3_3`	`0.0508`	`1.14477980`
`EX7_3_4`	`0.0430`	`10.00000000`
`EX7_3_5`	`0.0625`	`1.20689655`
`EX8_1_1`	`0.0391`	`-2.02180678`
`EX8_1_2`	`0.0508`	`2.80345848`
`EX8_1_3`	`0.0273`	`30.00000000`
`EX8_1_8`	`0.0625`	`-0.37461370`
`EX8_3_6`	`0.1211`	`-0.50000000`
`EX8_3_9`	`0.0586`	`-0.74161985`
`EX8_4_1`	`0.0391`	`0.61857276`
`EX8_4_2`	`0.0586`	`0.48515249`
`EX8_4_3`	`0.0469`	`0.00464972`
`EX8_4_4`	`0.0703`	`0.21245984`
`EX8_4_5`	`0.0625`	`0.00122530`
`EX8_4_7`	`0.1289`	`29.04730672`
`EX8_4_8`	`0.1406`	`3.32184731`
`EX9_1_4`	`0.0273`	`-37.00000000`
`EX9_1_5`	`0.0469`	`-1.00000000`
`EX9_1_8`	`0.0508`	`-3.25000000`
`EX9_2_1`	`0.0391`	`17.00000000`
`EX9_2_3`	`0.0508`	`5.00000000`
`EX9_2_4`	`0.0391`	`0.50000000`
`EX9_2_6`	`0.0313`	`-1.00000000`
`EX9_2_7`	`0.0508`	`17.00000000`
`EX9_2_8`	`0.0508`	`1.50000000`

CONOPT: infeas: Back to top

Modelname	CONOPT	Status (CONOPT)
`EX5_3_2`	`0.0313`	`mstat( 5) sstat( 1)`
`EX5_3_3`	`0.0313`	`mstat( 5) sstat( 1)`
`EX5_4_3`	`0.0703`	`mstat( 5) sstat( 1)`
`EX5_4_4`	`0.0508`	`mstat( 5) sstat( 1)`
`EX8_1_7`	`0.0313`	`mstat( 5) sstat( 1)`

CONOPT: f: Back to top

Modelname	CONOPT	Status (CONOPT)
`EX8_2_1`	`0.1602`	`mstat( 6) sstat( 4)`
`EX8_2_4`	`0.2305`	`mstat( 6) sstat( 4)`
`EX8_4_6`	`0.1094`	`mstat( 6) sstat( 4)`
`EX8_5_1`	`0.0508`	`mstat( 6) sstat( 4)`
`EX8_5_3`	`0.0313`	`mstat( 6) sstat( 4)`

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`	`1.00000000`
`EX14_1_7`	`0.7190`	`7.04274947`
`EX14_1_8`	`0.6560`	`0.04141589`
`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`	`25287.00000000`
`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`	`-7.48731237`
`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`	`0.00000000`
`EX5_2_2_CASE2`	`1.6560`	`0.00000000`
`EX5_2_2_CASE3`	`0.5780`	`0.00000000`
`EX5_2_4`	`0.5940`	`0.00000000`
`EX5_2_5`	`6.5310`	`-3500.00000000`
`EX5_3_2`	`1.2500`	`0.99790000`
`EX5_3_3`	`20.3130`	`1.68776000`
`EX5_4_2`	`0.9220`	`7512.23014450`
`EX5_4_3`	`1.1720`	`3720.38681525`
`EX5_4_4`	`3.6880`	`3018.64538719`
`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`	`1227.22607914`
`EX7_2_2`	`0.9680`	`-0.37461370`
`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`	`1.20689655`
`EX8_1_1`	`0.9060`	`-2.02180678`
`EX8_1_2`	`0.9370`	`2.80345848`
`EX8_1_3`	`1.1560`	`30.00000000`
`EX8_1_7`	`2.2810`	`41.50468655`
`EX8_1_8`	`0.9060`	`-0.37461370`
`EX8_2_1`	`8.7340`	`-878.87287266`
`EX8_2_4`	`18.9060`	`0.00053234`
`EX8_3_6`	`4.4060`	`-0.50000000`
`EX8_3_9`	`18.1720`	`-0.74161985`
`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`	`0.00122530`
`EX8_4_6`	`0.8120`	`0.68009310`
`EX8_4_7`	`7.9850`	`29.04730672`
`EX8_4_8`	`2.4690`	`3.32184731`
`EX8_5_1`	`0.6560`	`0.00000000`
`EX8_5_3`	`3.9690`	`0.00352441`
`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`