Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 09/14/12 19:33:52 using the PAVER Server/Performance tools available at http://www.gamsworld.eu/performance/paver

Compares all solver return outcomes (for example optimal, locally optimal, infeasible, unbounded, fail) of one solver with all return outcomes of another solver. Interrupt denotes resource or iteration limit has been reached.

Solver ALPHAECP_alphaecp-minlpconvex2 is represented on the left (rows) and solver BONMIN_bonmin-ecp on top (columns).

See the solver return definitions for return codes. Models having trace data only in one trace file are listed in the "no data" column of the other.

Input File Number	Filename
Tracefile 1:	minlpconvex_alphaecp.pav
Tracefile 2:	minlpconvex_bonmin-ecp.pav
Solvers used :	ALPHAECP_alphaecp-minlpconvex2
	BONMIN_bonmin-ecp
Modeltype(s)	`MINLP`

	BONMIN_bonmin-ecp: optimal	BONMIN_bonmin-ecp: locally optimal	BONMIN_bonmin-ecp: feasible	BONMIN_bonmin-ecp: infeasible	BONMIN_bonmin-ecp: unbounded	BONMIN_bonmin-ecp: fail	BONMIN_bonmin-ecp: no data	total ALPHAECP_alphaecp-minlpconvex2
ALPHAECP_alphaecp-minlpconvex2: optimal	`115`	-	`7`	-	-	`5`	-	`127`
ALPHAECP_alphaecp-minlpconvex2: locally optimal	-	-	-	-	-	-	-	`-`
ALPHAECP_alphaecp-minlpconvex2: feasible	`10`	-	`14`	-	-	`2`	-	`26`
ALPHAECP_alphaecp-minlpconvex2: infeasible	-	-	-	-	-	-	-	`-`
ALPHAECP_alphaecp-minlpconvex2: unbounded	-	-	-	-	-	-	-	`-`
ALPHAECP_alphaecp-minlpconvex2: fail	-	-	`1`	-	-	`1`	-	`2`
ALPHAECP_alphaecp-minlpconvex2: no data	-	-	-	-	-	-	-	`-`
total BONMIN_bonmin-ecp	`125`	`-`	`22`	`-`	`-`	`8`	`-`	`155`

Solver return definitions:

Outcome	Model Status	Solver Status
optimal	1 or 15	1
locally optimal	2	any
feasible	8 or 16	1 or 2 or 3 or 4 or 5
infeasible	4 or 5 or 10 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 TIME(.) in seconds, as well as the ratio RATIO(./.) of resource times for the two solvers if both solved optimally.
Also listed are the objective values OBJ(.) 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 1.50E-04. If both solutions are less than 1e-1, we use the absolute difference.
Solver resource time ratios for a particular model are listed only if one solver has resource greater than 5.00E-02.

ALPHAECP_alphaecp-minlpconvex2: optimal -- BONMIN_bonmin-ecp: optimal

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-ecp)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-ecp)
`BatchS101006M`	`46.3370`	`18.8830`	`2.454`	`769440.00000000`	`769440.00000000`
`BatchS121208M`	`887.7220`	`40.0140`	`22.185`	`1241130.00000000`	`1241130.00000000`
`BatchS151208M`	`1088.1000`	`77.0810`	`14.116`	`1543470.00000000`	`1543470.00000000`
`BatchS201210M`	`127.0950`	`159.9390`	`0.795`	`2295350.00000000`	`2295350.00000000`
`clay0203h`	`3.0090`	`2.5780`	`1.167`	`41573.30000000`	`41573.30000000`
`clay0203m`	`2.0080`	`0.8980`	`2.236`	`41573.30000000`	`41573.30000000`
`clay0204h`	`11.3170`	`5.1590`	`2.194`	`6545.00000000`	`6545.00000000`
`clay0204m`	`6.1480`	`1.2880`	`4.773`	`6545.00000000`	`6545.00000000`
`clay0205h`	`38.3660`	`110.1870`	`0.348`	`8092.50000000`	`8092.50000000`
`clay0205m`	`22.6960`	`7.4710`	`3.038`	`8092.50000000`	`8092.50000000`
`clay0303h`	`3.9740`	`7.6320`	`0.521`	`26669.10000000`	`26669.10000000`
`clay0303m`	`3.0000`	`2.4170`	`1.241`	`26669.10000000`	`26669.10000000`
`clay0304h`	`16.5760`	`361.6070`	`0.046`	`40262.40000000`	`40262.40000000`
`clay0304m`	`7.2770`	`48.5040`	`0.150`	`40262.40000000`	`40262.40000000`
`clay0305h`	`43.1620`	`111.3750`	`0.388`	`8092.50000000`	`8092.50000000`
`clay0305m`	`24.5400`	`9.2630`	`2.649`	`8092.50000000`	`8092.50000000`
`FLay03H`	`8.6170`	`0.9610`	`8.967`	`48.98980000`	`48.98980000`
`FLay03M`	`3.3270`	`0.1900`	`17.511`	`48.98980000`	`48.98980000`
`FLay04H`	`147.2640`	`8.0320`	`18.335`	`54.40590000`	`54.40590000`
`FLay04M`	`118.6470`	`2.2510`	`52.709`	`54.40590000`	`54.40590000`
`RSyn0810H`	`0.6630`	`0.5120`	`1.295`	`1721.45000000`	`1721.45000000`
`RSyn0810M02H`	`6.3970`	`1.8920`	`3.381`	`1741.39000000`	`1741.39000000`
`RSyn0810M02M`	`29.5920`	`192.1460`	`0.154`	`1741.39000000`	`1741.39000000`
`RSyn0810M03H`	`11.5210`	`5.8860`	`1.957`	`2722.45000000`	`2722.45000000`
`RSyn0810M03M`	`35.6170`	`516.2070`	`0.069`	`2722.45000000`	`2722.45000000`
`RSyn0810M04H`	`16.9230`	`5.6390`	`3.001`	`6581.94000000`	`6581.94000000`
`RSyn0810M04M`	`32.5020`	`628.9360`	`0.052`	`6581.93000000`	`6581.93000000`
`RSyn0810M`	`1.1460`	`1.3240`	`0.866`	`1721.45000000`	`1721.45000000`
`RSyn0820H`	`1.3090`	`1.2260`	`1.068`	`1150.30000000`	`1150.30000000`
`RSyn0820M02M`	`28.0010`	`2544.9800`	`0.011`	`1092.09000000`	`1092.09000000`
`RSyn0820M`	`2.3010`	`3.0760`	`0.748`	`1150.30000000`	`1150.30000000`
`RSyn0840M02H`	`13.8590`	`1.8590`	`7.455`	`734.98400000`	`734.98400000`
`RSyn0840M03H`	`30.3690`	`6.8420`	`4.439`	`2742.65000000`	`2742.65000000`
`RSyn0840M04H`	`77.1670`	`17.8030`	`4.334`	`2564.50000000`	`2564.50000000`
`RSyn0840M`	`2.5790`	`2.9260`	`0.881`	`325.55500000`	`325.55500000`
`SLay05H`	`118.8330`	`2.4860`	`47.801`	`22664.70000000`	`22664.70000000`
`SLay05M`	`77.8080`	`0.4620`	`168.416`	`22664.70000000`	`22664.70000000`
`SLay06H`	`244.1010`	`11.5030`	`21.221`	`32757.00000000`	`32757.00000000`
`SLay06M`	`157.3150`	`0.8940`	`175.968`	`32757.00000000`	`32757.00000000`
`SLay07H`	`746.2320`	`60.6700`	`12.300`	`64748.80000000`	`64748.80000000`
`SLay07M`	`431.6340`	`1.7220`	`250.659`	`64748.80000000`	`64748.80000000`
`SLay08H`	`1579.8000`	`174.7850`	`9.039`	`84960.20000000`	`84960.20000000`
`SLay08M`	`821.5290`	`5.6610`	`145.121`	`84960.20000000`	`84960.20000000`
`SLay09M`	`2096.7000`	`28.1110`	`74.586`	`107806.00000000`	`107806.00000000`
`Syn10H`	`0.0950`	`0.1720`	`0.552`	`1267.35000000`	`1267.35000000`
`Syn10M02H`	`1.0430`	`0.2590`	`4.027`	`2310.30000000`	`2310.30000000`
`Syn10M02M`	`0.7600`	`0.4210`	`1.805`	`2310.30000000`	`2310.30000000`
`Syn10M03H`	`1.1770`	`0.3040`	`3.872`	`3354.68000000`	`3354.68000000`
`Syn10M03M`	`1.0970`	`0.9830`	`1.116`	`3354.68000000`	`3354.68000000`
`Syn10M04H`	`2.1200`	`0.1810`	`11.713`	`4557.06000000`	`4557.06000000`
`Syn10M04M`	`1.9320`	`1.0200`	`1.894`	`4557.06000000`	`4557.06000000`
`Syn20H`	`0.8670`	`0.3190`	`2.718`	`924.26300000`	`924.26300000`
`Syn20M02H`	`1.2090`	`0.5650`	`2.140`	`1752.13000000`	`1752.13000000`
`Syn20M02M`	`0.9900`	`1.3480`	`0.734`	`1752.13000000`	`1752.13000000`
`Syn20M03H`	`2.2050`	`0.5830`	`3.782`	`2646.95000000`	`2646.95000000`
`Syn20M03M`	`1.5200`	`2.0970`	`0.725`	`2646.95000000`	`2646.95000000`
`Syn20M04H`	`3.0560`	`0.8500`	`3.595`	`3532.74000000`	`3532.74000000`
`Syn20M04M`	`2.5290`	`8.1460`	`0.310`	`3532.74000000`	`3532.74000000`
`Syn20M`	`1.1480`	`0.2210`	`5.195`	`924.26300000`	`924.26300000`
`Syn40H`	`2.2640`	`0.6920`	`3.272`	`67.71340000`	`67.71340000`
`Syn40M02H`	`4.9100`	`1.4210`	`3.455`	`388.77300000`	`388.77300000`
`Syn40M02M`	`4.3890`	`8.1890`	`0.536`	`388.77200000`	`388.77200000`
`Syn40M03H`	`10.8970`	`5.8460`	`1.864`	`395.14900000`	`395.14900000`
`Syn40M03M`	`10.4170`	`76.3700`	`0.136`	`395.14800000`	`395.14800000`
`Syn40M04H`	`21.2340`	`5.7460`	`3.695`	`901.75200000`	`901.75200000`
`Syn40M04M`	`20.9420`	`4042.3500`	`0.005`	`901.75100000`	`901.75100000`
`Syn40M`	`2.2290`	`0.7600`	`2.933`	`67.71330000`	`67.71330000`
`sssd-8-4-3`	`3.1510`	`1.3690`	`2.302`	`197181.00000000`	`197181.00000000`
`sssd-10-4-3`	`6.8130`	`4.8840`	`1.395`	`152710.00000000`	`152710.00000000`
`sssd-12-5-3`	`24.2350`	`24.9800`	`0.970`	`261143.00000000`	`261143.00000000`
`sssd-15-6-3`	`118.7660`	`93.9230`	`1.265`	`440711.00000000`	`440711.00000000`
`sssd-16-8-3`	`3710.8100`	`966.8690`	`3.838`	`615763.00000000`	`615763.00000000`
`sssd-18-8-3`	`5649.0100`	`2007.8900`	`2.813`	`524063.00000000`	`524063.00000000`
`nd-10`	`5943.3000`	`33.6680`	`176.527`	`52.46110000`	`52.46110000`
`nd-12`	`684.6800`	`170.7070`	`4.011`	`56.66960000`	`56.66960000`
`fo7_2`	`16.2510`	`669.6300`	`0.024`	`17.74930000`	`17.74930000`
`fo7_ar2_1`	`71.6920`	`289.6840`	`0.247`	`24.83980000`	`24.83980000`
`fo7_ar25_1`	`68.7200`	`98.4970`	`0.698`	`23.09360000`	`23.09360000`
`fo7_ar3_1`	`143.0130`	`253.5790`	`0.564`	`22.51750000`	`22.51750000`
`fo7_ar4_1`	`129.5990`	`255.6380`	`0.507`	`20.72980000`	`20.72980000`
`fo7_ar5_1`	`26.7280`	`52.8810`	`0.505`	`17.74930000`	`17.74930000`
`fo7`	`158.3240`	`585.4510`	`0.270`	`20.72980000`	`20.72980000`
`fo8_ar2_1`	`416.7040`	`2852.8100`	`0.146`	`30.34060000`	`30.34060000`
`fo8_ar25_1`	`432.2920`	`1939.5800`	`0.223`	`28.04520000`	`28.04520000`
`fo8_ar3_1`	`175.8330`	`741.7770`	`0.237`	`23.91010000`	`23.91010000`
`fo8_ar4_1`	`130.3020`	`745.5250`	`0.175`	`22.38190000`	`22.38190000`
`fo8_ar5_1`	`469.2460`	`901.8370`	`0.520`	`22.38190000`	`22.38190000`
`fo8`	`532.1980`	`3786.5400`	`0.141`	`22.38190000`	`22.38190000`
`fo9_ar3_1`	`1033.5200`	`5716.6100`	`0.181`	`24.81550000`	`24.81550000`
`fo9_ar4_1`	`1274.7400`	`4651.0300`	`0.274`	`23.46430000`	`23.46430000`
`fo9_ar5_1`	`2653.3400`	`2552.4500`	`1.040`	`23.46430000`	`23.46430000`
`m3`	`0.4270`	`0.2430`	`1.757`	`37.80000000`	`37.80000000`
`m6`	`1.4800`	`7.3190`	`0.202`	`82.25690000`	`82.25690000`
`m7_ar2_1`	`6.8390`	`163.7190`	`0.042`	`190.23500000`	`190.23500000`
`m7_ar25_1`	`1.0600`	`11.1670`	`0.095`	`143.58500000`	`143.58500000`
`m7_ar3_1`	`10.8580`	`91.9730`	`0.118`	`143.58500000`	`143.58500000`
`m7_ar4_1`	`0.9760`	`34.5850`	`0.028`	`106.75700000`	`106.75700000`
`m7_ar5_1`	`3.7390`	`68.2970`	`0.055`	`106.46000000`	`106.46000000`
`m7`	`2.8200`	`184.2350`	`0.015`	`106.75700000`	`106.75700000`
`netmod_dol2`	`408.5090`	`228.5540`	`1.787`	`-0.56000800`	`-0.56000800`
`netmod_kar1`	`81.9920`	`42.5770`	`1.926`	`-0.41979000`	`-0.41979000`
`netmod_kar2`	`82.5560`	`42.8470`	`1.927`	`-0.41979000`	`-0.41979000`
`no7_ar2_1`	`131.1430`	`242.3140`	`0.541`	`107.81500000`	`107.81500000`
`no7_ar25_1`	`221.2130`	`602.9350`	`0.367`	`107.81500000`	`107.81500000`
`no7_ar3_1`	`361.9430`	`1243.3800`	`0.291`	`107.81500000`	`107.81500000`
`no7_ar4_1`	`308.8270`	`823.2470`	`0.375`	`98.51840000`	`98.51840000`
`no7_ar5_1`	`197.2660`	`477.5190`	`0.413`	`90.62270000`	`90.62270000`
`o7_2`	`1225.8300`	`1422.8800`	`0.862`	`116.94600000`	`116.94600000`
`o7_ar2_1`	`164.5370`	`663.4050`	`0.248`	`140.41200000`	`140.41200000`
`o7_ar25_1`	`876.7070`	`1119.5700`	`0.783`	`140.41200000`	`140.41200000`
`o7_ar3_1`	`689.1960`	`1992.6000`	`0.346`	`137.93200000`	`137.93200000`
`o7_ar4_1`	`4416.5100`	`2899.6600`	`1.523`	`131.65300000`	`131.65300000`
`o7_ar5_1`	`645.0260`	`1073.7500`	`0.601`	`116.94600000`	`116.94600000`
`tls2`	`0.3030`	`0.5020`	`0.604`	`5.30000000`	`5.30000000`
`tls4`	`224.4940`	`1082.3800`	`0.207`	`8.30000000`	`8.30000000`

ALPHAECP_alphaecp-minlpconvex2: optimal -- BONMIN_bonmin-ecp: feasible

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-ecp)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-ecp)
`RSyn0820M03M`	`23.0700`	`7543.7500`	`0.003`	`2028.81000000`	`2009.08000000`
`RSyn0820M04M`	`26.0200`	`7357.5500`	`0.004`	`2450.77000000`	`2406.04000000`
`RSyn0840M02M`	`29.1150`	`7649.7500`	`0.004`	`734.98300000`	`732.20500000`
`RSyn0840M03M`	`50.1770`	`7602.9100`	`0.007`	`2742.65000000`	`2735.85000000`
`RSyn0840M04M`	`543.7590`	`7513.6400`	`0.072`	`2564.50000000`	`2448.69000000`
`fo9_ar2_1`	`1938.4500`	`7285.5400`	`0.266`	`32.62500000`	`32.62500000`
`fo9`	`3049.9300`	`7297.3900`	`0.418`	`23.46430000`	`23.46430000`

ALPHAECP_alphaecp-minlpconvex2: optimal -- BONMIN_bonmin-ecp: fail

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-ecp)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Status (BONMIN_bonmin-ecp)
`RSyn0820M02H`	`4.4300`	`0.7970`	---	`1092.09000000`	`mstat(13)sstat( 1)`
`RSyn0820M03H`	`7.7190`	`1.1540`	---	`2028.81000000`	`mstat(13)sstat( 1)`
`RSyn0820M04H`	`11.6270`	`2.2000`	---	`2450.77000000`	`mstat(13)sstat( 1)`
`RSyn0840H`	`2.4300`	`0.3550`	---	`325.55500000`	`mstat(13)sstat( 1)`
`Syn10M`	`0.1580`	`0.0670`	---	`1267.35000000`	`mstat(13)sstat( 1)`

ALPHAECP_alphaecp-minlpconvex2: feasible -- BONMIN_bonmin-ecp: optimal

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-ecp)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-ecp)
`FLay05H`	`7202.2400`	`300.2890`	`23.984`	`64.49810000`	`64.49810000`
`FLay05M`	`7202.2100`	`69.6520`	`103.403`	`64.49810000`	`64.49810000`
`SLay10M`	`7202.2800`	`396.9250`	`18.145`	`129796.00000000`	`129580.00000000`
`uflquad-15-60`	`7202.2100`	`55.5540`	`129.643`	`1063.19000000`	`1063.19000000`
`uflquad-15-80`	`7202.2300`	`135.7990`	`53.036`	`1217.99000000`	`1217.99000000`
`uflquad-20-40`	`7202.1600`	`63.0340`	`114.258`	`860.96100000`	`860.96100000`
`uflquad-25-25`	`7202.1900`	`19.6040`	`367.384`	`673.69700000`	`673.69700000`
`uflquad-25-30`	`7202.1900`	`25.4050`	`283.495`	`669.84000000`	`669.84000000`
`uflquad-25-40`	`7202.2000`	`129.8530`	`55.464`	`828.16500000`	`828.16500000`
`o7`	`7202.2300`	`4180.1300`	`1.723`	`131.65300000`	`131.65300000`

ALPHAECP_alphaecp-minlpconvex2: feasible -- BONMIN_bonmin-ecp: feasible

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-ecp)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-ecp)
`FLay06H`	`7202.2200`	`7281.0700`	`0.989`	`66.93280000`	`66.93280000`
`FLay06M`	`7202.3700`	`7284.5600`	`0.989`	`66.93280000`	`66.93280000`
`SLay09H`	`7202.2300`	`7248.6500`	`0.994`	`107983.00000000`	`107983.00000000`
`SLay10H`	`7202.0600`	`7251.0400`	`0.993`	`129876.00000000`	`130088.00000000`
`sssd-20-9-3`	`7202.5300`	`7343.1200`	`0.981`	`489487.00000000`	`478437.00000000`
`sssd-22-8-3`	`7202.7000`	`7313.1400`	`0.985`	`602410.00000000`	`596151.00000000`
`uflquad-20-50`	`7202.1300`	`7264.0500`	`0.991`	`394.98200000`	`375.91900000`
`nd-13`	`7202.3300`	`7222.1200`	`0.997`	`63.00510000`	`63.00510000`
`nd-16`	`7202.3300`	`7222.1600`	`0.997`	`98.19780000`	`98.10190000`
`fo9_ar25_1`	`7202.1900`	`7281.9100`	`0.989`	`32.18640000`	`32.25000000`
`netmod_dol1`	`7202.1700`	`7273.5300`	`0.990`	`-0.55976000`	`-0.56000800`
`o8_ar4_1`	`7202.4500`	`7332.2800`	`0.982`	`243.07100000`	`256.13100000`
`o9_ar4_1`	`7202.6900`	`7282.0300`	`0.989`	`266.02800000`	`277.23900000`
`tls5`	`7202.2800`	`7285.5500`	`0.989`	`14.60000000`	`10.80000000`

ALPHAECP_alphaecp-minlpconvex2: feasible -- BONMIN_bonmin-ecp: fail

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-ecp)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Status (BONMIN_bonmin-ecp)
`tls6`	`7202.2800`	`7284.2000`	---	`39.10000000`	`mstat(14)sstat( 3)`
`tls7`	`7202.3400`	`7268.1300`	---	`53.80000000`	`mstat(14)sstat( 3)`

ALPHAECP_alphaecp-minlpconvex2: fail -- BONMIN_bonmin-ecp: feasible

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-ecp)	Status (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-ecp)
`nd-15`	`7202.2600`	`7222.6900`	---	`mstat(13)sstat( 1)`	`82.59770000`

ALPHAECP_alphaecp-minlpconvex2: fail -- BONMIN_bonmin-ecp: fail

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-ecp)	Status (ALPHAECP_alphaecp-minlpconvex2)	Status (BONMIN_bonmin-ecp)
`tls12`	`7202.3000`	`7262.9300`	---	`mstat(14)sstat( 3)`	`mstat(14)sstat( 3)`

ALPHAECP_alphaecp-minlpconvex2: optimal:

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Obj (ALPHAECP_alphaecp-minlpconvex2)
`BatchS101006M`	`46.3370`	`769440.00000000`
`BatchS121208M`	`887.7220`	`1241130.00000000`
`BatchS151208M`	`1088.1000`	`1543470.00000000`
`BatchS201210M`	`127.0950`	`2295350.00000000`
`clay0203h`	`3.0090`	`41573.30000000`
`clay0203m`	`2.0080`	`41573.30000000`
`clay0204h`	`11.3170`	`6545.00000000`
`clay0204m`	`6.1480`	`6545.00000000`
`clay0205h`	`38.3660`	`8092.50000000`
`clay0205m`	`22.6960`	`8092.50000000`
`clay0303h`	`3.9740`	`26669.10000000`
`clay0303m`	`3.0000`	`26669.10000000`
`clay0304h`	`16.5760`	`40262.40000000`
`clay0304m`	`7.2770`	`40262.40000000`
`clay0305h`	`43.1620`	`8092.50000000`
`clay0305m`	`24.5400`	`8092.50000000`
`FLay03H`	`8.6170`	`48.98980000`
`FLay03M`	`3.3270`	`48.98980000`
`FLay04H`	`147.2640`	`54.40590000`
`FLay04M`	`118.6470`	`54.40590000`
`RSyn0810H`	`0.6630`	`1721.45000000`
`RSyn0810M02H`	`6.3970`	`1741.39000000`
`RSyn0810M02M`	`29.5920`	`1741.39000000`
`RSyn0810M03H`	`11.5210`	`2722.45000000`
`RSyn0810M03M`	`35.6170`	`2722.45000000`
`RSyn0810M04H`	`16.9230`	`6581.94000000`
`RSyn0810M04M`	`32.5020`	`6581.93000000`
`RSyn0810M`	`1.1460`	`1721.45000000`
`RSyn0820H`	`1.3090`	`1150.30000000`
`RSyn0820M02H`	`4.4300`	`1092.09000000`
`RSyn0820M02M`	`28.0010`	`1092.09000000`
`RSyn0820M03H`	`7.7190`	`2028.81000000`
`RSyn0820M03M`	`23.0700`	`2028.81000000`
`RSyn0820M04H`	`11.6270`	`2450.77000000`
`RSyn0820M04M`	`26.0200`	`2450.77000000`
`RSyn0820M`	`2.3010`	`1150.30000000`
`RSyn0840H`	`2.4300`	`325.55500000`
`RSyn0840M02H`	`13.8590`	`734.98400000`
`RSyn0840M02M`	`29.1150`	`734.98300000`
`RSyn0840M03H`	`30.3690`	`2742.65000000`
`RSyn0840M03M`	`50.1770`	`2742.65000000`
`RSyn0840M04H`	`77.1670`	`2564.50000000`
`RSyn0840M04M`	`543.7590`	`2564.50000000`
`RSyn0840M`	`2.5790`	`325.55500000`
`SLay05H`	`118.8330`	`22664.70000000`
`SLay05M`	`77.8080`	`22664.70000000`
`SLay06H`	`244.1010`	`32757.00000000`
`SLay06M`	`157.3150`	`32757.00000000`
`SLay07H`	`746.2320`	`64748.80000000`
`SLay07M`	`431.6340`	`64748.80000000`
`SLay08H`	`1579.8000`	`84960.20000000`
`SLay08M`	`821.5290`	`84960.20000000`
`SLay09M`	`2096.7000`	`107806.00000000`
`Syn10H`	`0.0950`	`1267.35000000`
`Syn10M02H`	`1.0430`	`2310.30000000`
`Syn10M02M`	`0.7600`	`2310.30000000`
`Syn10M03H`	`1.1770`	`3354.68000000`
`Syn10M03M`	`1.0970`	`3354.68000000`
`Syn10M04H`	`2.1200`	`4557.06000000`
`Syn10M04M`	`1.9320`	`4557.06000000`
`Syn10M`	`0.1580`	`1267.35000000`
`Syn20H`	`0.8670`	`924.26300000`
`Syn20M02H`	`1.2090`	`1752.13000000`
`Syn20M02M`	`0.9900`	`1752.13000000`
`Syn20M03H`	`2.2050`	`2646.95000000`
`Syn20M03M`	`1.5200`	`2646.95000000`
`Syn20M04H`	`3.0560`	`3532.74000000`
`Syn20M04M`	`2.5290`	`3532.74000000`
`Syn20M`	`1.1480`	`924.26300000`
`Syn40H`	`2.2640`	`67.71340000`
`Syn40M02H`	`4.9100`	`388.77300000`
`Syn40M02M`	`4.3890`	`388.77200000`
`Syn40M03H`	`10.8970`	`395.14900000`
`Syn40M03M`	`10.4170`	`395.14800000`
`Syn40M04H`	`21.2340`	`901.75200000`
`Syn40M04M`	`20.9420`	`901.75100000`
`Syn40M`	`2.2290`	`67.71330000`
`sssd-8-4-3`	`3.1510`	`197181.00000000`
`sssd-10-4-3`	`6.8130`	`152710.00000000`
`sssd-12-5-3`	`24.2350`	`261143.00000000`
`sssd-15-6-3`	`118.7660`	`440711.00000000`
`sssd-16-8-3`	`3710.8100`	`615763.00000000`
`sssd-18-8-3`	`5649.0100`	`524063.00000000`
`nd-10`	`5943.3000`	`52.46110000`
`nd-12`	`684.6800`	`56.66960000`
`fo7_2`	`16.2510`	`17.74930000`
`fo7_ar2_1`	`71.6920`	`24.83980000`
`fo7_ar25_1`	`68.7200`	`23.09360000`
`fo7_ar3_1`	`143.0130`	`22.51750000`
`fo7_ar4_1`	`129.5990`	`20.72980000`
`fo7_ar5_1`	`26.7280`	`17.74930000`
`fo7`	`158.3240`	`20.72980000`
`fo8_ar2_1`	`416.7040`	`30.34060000`
`fo8_ar25_1`	`432.2920`	`28.04520000`
`fo8_ar3_1`	`175.8330`	`23.91010000`
`fo8_ar4_1`	`130.3020`	`22.38190000`
`fo8_ar5_1`	`469.2460`	`22.38190000`
`fo8`	`532.1980`	`22.38190000`
`fo9_ar2_1`	`1938.4500`	`32.62500000`
`fo9_ar3_1`	`1033.5200`	`24.81550000`
`fo9_ar4_1`	`1274.7400`	`23.46430000`
`fo9_ar5_1`	`2653.3400`	`23.46430000`
`fo9`	`3049.9300`	`23.46430000`
`m3`	`0.4270`	`37.80000000`
`m6`	`1.4800`	`82.25690000`
`m7_ar2_1`	`6.8390`	`190.23500000`
`m7_ar25_1`	`1.0600`	`143.58500000`
`m7_ar3_1`	`10.8580`	`143.58500000`
`m7_ar4_1`	`0.9760`	`106.75700000`
`m7_ar5_1`	`3.7390`	`106.46000000`
`m7`	`2.8200`	`106.75700000`
`netmod_dol2`	`408.5090`	`-0.56000800`
`netmod_kar1`	`81.9920`	`-0.41979000`
`netmod_kar2`	`82.5560`	`-0.41979000`
`no7_ar2_1`	`131.1430`	`107.81500000`
`no7_ar25_1`	`221.2130`	`107.81500000`
`no7_ar3_1`	`361.9430`	`107.81500000`
`no7_ar4_1`	`308.8270`	`98.51840000`
`no7_ar5_1`	`197.2660`	`90.62270000`
`o7_2`	`1225.8300`	`116.94600000`
`o7_ar2_1`	`164.5370`	`140.41200000`
`o7_ar25_1`	`876.7070`	`140.41200000`
`o7_ar3_1`	`689.1960`	`137.93200000`
`o7_ar4_1`	`4416.5100`	`131.65300000`
`o7_ar5_1`	`645.0260`	`116.94600000`
`tls2`	`0.3030`	`5.30000000`
`tls4`	`224.4940`	`8.30000000`

ALPHAECP_alphaecp-minlpconvex2: feasible:

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Obj (ALPHAECP_alphaecp-minlpconvex2)
`FLay05H`	`7202.2400`	`64.49810000`
`FLay05M`	`7202.2100`	`64.49810000`
`FLay06H`	`7202.2200`	`66.93280000`
`FLay06M`	`7202.3700`	`66.93280000`
`SLay09H`	`7202.2300`	`107983.00000000`
`SLay10H`	`7202.0600`	`129876.00000000`
`SLay10M`	`7202.2800`	`129796.00000000`
`sssd-20-9-3`	`7202.5300`	`489487.00000000`
`sssd-22-8-3`	`7202.7000`	`602410.00000000`
`uflquad-15-60`	`7202.2100`	`1063.19000000`
`uflquad-15-80`	`7202.2300`	`1217.99000000`
`uflquad-20-40`	`7202.1600`	`860.96100000`
`uflquad-20-50`	`7202.1300`	`394.98200000`
`uflquad-25-25`	`7202.1900`	`673.69700000`
`uflquad-25-30`	`7202.1900`	`669.84000000`
`uflquad-25-40`	`7202.2000`	`828.16500000`
`nd-13`	`7202.3300`	`63.00510000`
`nd-16`	`7202.3300`	`98.19780000`
`fo9_ar25_1`	`7202.1900`	`32.18640000`
`netmod_dol1`	`7202.1700`	`-0.55976000`
`o7`	`7202.2300`	`131.65300000`
`o8_ar4_1`	`7202.4500`	`243.07100000`
`o9_ar4_1`	`7202.6900`	`266.02800000`
`tls5`	`7202.2800`	`14.60000000`
`tls6`	`7202.2800`	`39.10000000`
`tls7`	`7202.3400`	`53.80000000`

ALPHAECP_alphaecp-minlpconvex2: fail:

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Status (ALPHAECP_alphaecp-minlpconvex2)
`nd-15`	`--`	`mstat(13) sstat( 1)`
`tls12`	`--`	`mstat(14) sstat( 3)`

BONMIN_bonmin-ecp: optimal:

Modelname	Time (BONMIN_bonmin-ecp)	Obj (BONMIN_bonmin-ecp)
`BatchS101006M`	`18.8830`	`769440.00000000`
`BatchS121208M`	`40.0140`	`1241130.00000000`
`BatchS151208M`	`77.0810`	`1543470.00000000`
`BatchS201210M`	`159.9390`	`2295350.00000000`
`clay0203h`	`2.5780`	`41573.30000000`
`clay0203m`	`0.8980`	`41573.30000000`
`clay0204h`	`5.1590`	`6545.00000000`
`clay0204m`	`1.2880`	`6545.00000000`
`clay0205h`	`110.1870`	`8092.50000000`
`clay0205m`	`7.4710`	`8092.50000000`
`clay0303h`	`7.6320`	`26669.10000000`
`clay0303m`	`2.4170`	`26669.10000000`
`clay0304h`	`361.6070`	`40262.40000000`
`clay0304m`	`48.5040`	`40262.40000000`
`clay0305h`	`111.3750`	`8092.50000000`
`clay0305m`	`9.2630`	`8092.50000000`
`FLay03H`	`0.9610`	`48.98980000`
`FLay03M`	`0.1900`	`48.98980000`
`FLay04H`	`8.0320`	`54.40590000`
`FLay04M`	`2.2510`	`54.40590000`
`FLay05H`	`300.2890`	`64.49810000`
`FLay05M`	`69.6520`	`64.49810000`
`RSyn0810H`	`0.5120`	`1721.45000000`
`RSyn0810M02H`	`1.8920`	`1741.39000000`
`RSyn0810M02M`	`192.1460`	`1741.39000000`
`RSyn0810M03H`	`5.8860`	`2722.45000000`
`RSyn0810M03M`	`516.2070`	`2722.45000000`
`RSyn0810M04H`	`5.6390`	`6581.94000000`
`RSyn0810M04M`	`628.9360`	`6581.93000000`
`RSyn0810M`	`1.3240`	`1721.45000000`
`RSyn0820H`	`1.2260`	`1150.30000000`
`RSyn0820M02M`	`2544.9800`	`1092.09000000`
`RSyn0820M`	`3.0760`	`1150.30000000`
`RSyn0840M02H`	`1.8590`	`734.98400000`
`RSyn0840M03H`	`6.8420`	`2742.65000000`
`RSyn0840M04H`	`17.8030`	`2564.50000000`
`RSyn0840M`	`2.9260`	`325.55500000`
`SLay05H`	`2.4860`	`22664.70000000`
`SLay05M`	`0.4620`	`22664.70000000`
`SLay06H`	`11.5030`	`32757.00000000`
`SLay06M`	`0.8940`	`32757.00000000`
`SLay07H`	`60.6700`	`64748.80000000`
`SLay07M`	`1.7220`	`64748.80000000`
`SLay08H`	`174.7850`	`84960.20000000`
`SLay08M`	`5.6610`	`84960.20000000`
`SLay09M`	`28.1110`	`107806.00000000`
`SLay10M`	`396.9250`	`129580.00000000`
`Syn10H`	`0.1720`	`1267.35000000`
`Syn10M02H`	`0.2590`	`2310.30000000`
`Syn10M02M`	`0.4210`	`2310.30000000`
`Syn10M03H`	`0.3040`	`3354.68000000`
`Syn10M03M`	`0.9830`	`3354.68000000`
`Syn10M04H`	`0.1810`	`4557.06000000`
`Syn10M04M`	`1.0200`	`4557.06000000`
`Syn20H`	`0.3190`	`924.26300000`
`Syn20M02H`	`0.5650`	`1752.13000000`
`Syn20M02M`	`1.3480`	`1752.13000000`
`Syn20M03H`	`0.5830`	`2646.95000000`
`Syn20M03M`	`2.0970`	`2646.95000000`
`Syn20M04H`	`0.8500`	`3532.74000000`
`Syn20M04M`	`8.1460`	`3532.74000000`
`Syn20M`	`0.2210`	`924.26300000`
`Syn40H`	`0.6920`	`67.71340000`
`Syn40M02H`	`1.4210`	`388.77300000`
`Syn40M02M`	`8.1890`	`388.77200000`
`Syn40M03H`	`5.8460`	`395.14900000`
`Syn40M03M`	`76.3700`	`395.14800000`
`Syn40M04H`	`5.7460`	`901.75200000`
`Syn40M04M`	`4042.3500`	`901.75100000`
`Syn40M`	`0.7600`	`67.71330000`
`sssd-8-4-3`	`1.3690`	`197181.00000000`
`sssd-10-4-3`	`4.8840`	`152710.00000000`
`sssd-12-5-3`	`24.9800`	`261143.00000000`
`sssd-15-6-3`	`93.9230`	`440711.00000000`
`sssd-16-8-3`	`966.8690`	`615763.00000000`
`sssd-18-8-3`	`2007.8900`	`524063.00000000`
`uflquad-15-60`	`55.5540`	`1063.19000000`
`uflquad-15-80`	`135.7990`	`1217.99000000`
`uflquad-20-40`	`63.0340`	`860.96100000`
`uflquad-25-25`	`19.6040`	`673.69700000`
`uflquad-25-30`	`25.4050`	`669.84000000`
`uflquad-25-40`	`129.8530`	`828.16500000`
`nd-10`	`33.6680`	`52.46110000`
`nd-12`	`170.7070`	`56.66960000`
`fo7_2`	`669.6300`	`17.74930000`
`fo7_ar2_1`	`289.6840`	`24.83980000`
`fo7_ar25_1`	`98.4970`	`23.09360000`
`fo7_ar3_1`	`253.5790`	`22.51750000`
`fo7_ar4_1`	`255.6380`	`20.72980000`
`fo7_ar5_1`	`52.8810`	`17.74930000`
`fo7`	`585.4510`	`20.72980000`
`fo8_ar2_1`	`2852.8100`	`30.34060000`
`fo8_ar25_1`	`1939.5800`	`28.04520000`
`fo8_ar3_1`	`741.7770`	`23.91010000`
`fo8_ar4_1`	`745.5250`	`22.38190000`
`fo8_ar5_1`	`901.8370`	`22.38190000`
`fo8`	`3786.5400`	`22.38190000`
`fo9_ar3_1`	`5716.6100`	`24.81550000`
`fo9_ar4_1`	`4651.0300`	`23.46430000`
`fo9_ar5_1`	`2552.4500`	`23.46430000`
`m3`	`0.2430`	`37.80000000`
`m6`	`7.3190`	`82.25690000`
`m7_ar2_1`	`163.7190`	`190.23500000`
`m7_ar25_1`	`11.1670`	`143.58500000`
`m7_ar3_1`	`91.9730`	`143.58500000`
`m7_ar4_1`	`34.5850`	`106.75700000`
`m7_ar5_1`	`68.2970`	`106.46000000`
`m7`	`184.2350`	`106.75700000`
`netmod_dol2`	`228.5540`	`-0.56000800`
`netmod_kar1`	`42.5770`	`-0.41979000`
`netmod_kar2`	`42.8470`	`-0.41979000`
`no7_ar2_1`	`242.3140`	`107.81500000`
`no7_ar25_1`	`602.9350`	`107.81500000`
`no7_ar3_1`	`1243.3800`	`107.81500000`
`no7_ar4_1`	`823.2470`	`98.51840000`
`no7_ar5_1`	`477.5190`	`90.62270000`
`o7_2`	`1422.8800`	`116.94600000`
`o7_ar2_1`	`663.4050`	`140.41200000`
`o7_ar25_1`	`1119.5700`	`140.41200000`
`o7_ar3_1`	`1992.6000`	`137.93200000`
`o7_ar4_1`	`2899.6600`	`131.65300000`
`o7_ar5_1`	`1073.7500`	`116.94600000`
`o7`	`4180.1300`	`131.65300000`
`tls2`	`0.5020`	`5.30000000`
`tls4`	`1082.3800`	`8.30000000`

BONMIN_bonmin-ecp: feasible:

Modelname	Time (BONMIN_bonmin-ecp)	Obj (BONMIN_bonmin-ecp)
`FLay06H`	`7281.0700`	`66.93280000`
`FLay06M`	`7284.5600`	`66.93280000`
`RSyn0820M03M`	`7543.7500`	`2009.08000000`
`RSyn0820M04M`	`7357.5500`	`2406.04000000`
`RSyn0840M02M`	`7649.7500`	`732.20500000`
`RSyn0840M03M`	`7602.9100`	`2735.85000000`
`RSyn0840M04M`	`7513.6400`	`2448.69000000`
`SLay09H`	`7248.6500`	`107983.00000000`
`SLay10H`	`7251.0400`	`130088.00000000`
`sssd-20-9-3`	`7343.1200`	`478437.00000000`
`sssd-22-8-3`	`7313.1400`	`596151.00000000`
`uflquad-20-50`	`7264.0500`	`375.91900000`
`nd-13`	`7222.1200`	`63.00510000`
`nd-15`	`7222.6900`	`82.59770000`
`nd-16`	`7222.1600`	`98.10190000`
`fo9_ar2_1`	`7285.5400`	`32.62500000`
`fo9_ar25_1`	`7281.9100`	`32.25000000`
`fo9`	`7297.3900`	`23.46430000`
`netmod_dol1`	`7273.5300`	`-0.56000800`
`o8_ar4_1`	`7332.2800`	`256.13100000`
`o9_ar4_1`	`7282.0300`	`277.23900000`
`tls5`	`7285.5500`	`10.80000000`

BONMIN_bonmin-ecp: fail:

Modelname	Time (BONMIN_bonmin-ecp)	Status (BONMIN_bonmin-ecp)
`RSyn0820M02H`	`--`	`mstat(13)sstat( 1)`
`RSyn0820M03H`	`--`	`mstat(13)sstat( 1)`
`RSyn0820M04H`	`--`	`mstat(13)sstat( 1)`
`RSyn0840H`	`--`	`mstat(13)sstat( 1)`
`Syn10M`	`--`	`mstat(13)sstat( 1)`
`tls12`	`--`	`mstat(14)sstat( 3)`
`tls6`	`--`	`mstat(14)sstat( 3)`
`tls7`	`--`	`mstat(14)sstat( 3)`

ALPHAECP_alphaecp-minlpconvex2: all -- BONMIN_bonmin-ecp: all

A "(max)" behind a model names indicates that this model is a maximization model.

Rows with red background in the model name mark inconsistencies, caused by negative gaps or objective values of one solver that are better than the objestive estimate of the other solver.

A model is counted as solved if the gap reported by the solver is at most 0.00015. The gap is in this case displayed with a green background.

A shifted geometric mean of the solver time is computed, where unsolved instances and instances above the timelimit are counted with the timelimit (7649.75 seconds). The shift is 10s.

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-ecp)	Ratio (ALPHAECP_alphaecp-minlpconvex2/ BONMIN_bonmin-ecp)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-ecp)	ObjEst (ALPHAECP_alphaecp-minlpconvex2)	ObjEst (BONMIN_bonmin-ecp)	Gap (ALPHAECP_alphaecp-minlpconvex2)	Gap (BONMIN_bonmin-ecp)
`BatchS101006M`	`46.3370`	`18.8830`	`2.454`	`769440.00000000`	`769440.00000000`	`769440.00000000`	`769440.00000000`	`0.0000`	`0.0000`
`BatchS121208M`	`887.7220`	`40.0140`	`22.185`	`1241130.00000000`	`1241130.00000000`	`1241130.00000000`	`1241130.00000000`	`0.0000`	`0.0000`
`BatchS151208M`	`1088.1000`	`77.0810`	`14.116`	`1543470.00000000`	`1543470.00000000`	`1543470.00000000`	`1543470.00000000`	`0.0000`	`0.0000`
`BatchS201210M`	`127.0950`	`159.9390`	`0.795`	`2295350.00000000`	`2295350.00000000`	`2295350.00000000`	`2295350.00000000`	`0.0000`	`0.0000`
`clay0203h`	`3.0090`	`2.5780`	`1.167`	`41573.30000000`	`41573.30000000`	`41573.30000000`	`41573.30000000`	`0.0000`	`0.0000`
`clay0203m`	`2.0080`	`0.8980`	`2.236`	`41573.30000000`	`41573.30000000`	`41573.30000000`	`41573.30000000`	`0.0000`	`0.0000`
`clay0204h`	`11.3170`	`5.1590`	`2.194`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`0.0000`	`0.0000`
`clay0204m`	`6.1480`	`1.2880`	`4.773`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`0.0000`	`0.0000`
`clay0205h`	`38.3660`	`110.1870`	`0.348`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0205m`	`22.6960`	`7.4710`	`3.038`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0303h`	`3.9740`	`7.6320`	`0.521`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`0.0000`	`0.0000`
`clay0303m`	`3.0000`	`2.4170`	`1.241`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`0.0000`	`0.0000`
`clay0304h`	`16.5760`	`361.6070`	`0.046`	`40262.40000000`	`40262.40000000`	`40262.40000000`	`40262.40000000`	`0.0000`	`0.0000`
`clay0304m`	`7.2770`	`48.5040`	`0.150`	`40262.40000000`	`40262.40000000`	`40262.40000000`	`40262.40000000`	`0.0000`	`0.0000`
`clay0305h`	`43.1620`	`111.3750`	`0.388`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0305m`	`24.5400`	`9.2630`	`2.649`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`FLay03H`	`8.6170`	`0.9610`	`8.967`	`48.98980000`	`48.98980000`	`48.98980000`	`48.98980000`	`0.0000`	`0.0000`
`FLay03M`	`3.3270`	`0.1900`	`17.511`	`48.98980000`	`48.98980000`	`48.98980000`	`48.98980000`	`0.0000`	`0.0000`
`FLay04H`	`147.2640`	`8.0320`	`18.335`	`54.40590000`	`54.40590000`	`54.40590000`	`54.40590000`	`0.0000`	`0.0000`
`FLay04M`	`118.6470`	`2.2510`	`52.709`	`54.40590000`	`54.40590000`	`54.40590000`	`54.40590000`	`0.0000`	`0.0000`
`FLay05H`	`7202.2400`	`300.2890`	`23.984`	`64.49810000`	`64.49810000`	`59.95990000`	`64.49810000`	`0.0757`	`0.0000`
`FLay05M`	`7202.2100`	`69.6520`	`103.403`	`64.49810000`	`64.49810000`	`54.40540000`	`64.49810000`	`0.1855`	`0.0000`
`FLay06H`	`7202.2200`	`7281.0700`	`0.989`	`66.93280000`	`66.93280000`	`65.70550000`	`61.62670000`	`0.0187`	`0.0861`
`FLay06M`	`7202.3700`	`7284.5600`	`0.989`	`66.93280000`	`66.93280000`	`65.28080000`	`64.01070000`	`0.0253`	`0.0457`
`RSyn0810H (max)`	`0.6630`	`0.5120`	`1.295`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`0.0000`	`0.0000`
`RSyn0810M02H (max)`	`6.3970`	`1.8920`	`3.381`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`0.0000`	`0.0000`
`RSyn0810M02M (max)`	`29.5920`	`192.1460`	`0.154`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`0.0000`	`0.0000`
`RSyn0810M03H (max)`	`11.5210`	`5.8860`	`1.957`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`0.0000`	`0.0000`
`RSyn0810M03M (max)`	`35.6170`	`516.2070`	`0.069`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`0.0000`	`0.0000`
`RSyn0810M04H (max)`	`16.9230`	`5.6390`	`3.001`	`6581.94000000`	`6581.94000000`	`6581.94000000`	`6581.94000000`	`0.0000`	`0.0000`
`RSyn0810M04M (max)`	`32.5020`	`628.9360`	`0.052`	`6581.93000000`	`6581.93000000`	`6581.94000000`	`6581.93000000`	`0.0000`	`0.0000`
`RSyn0810M (max)`	`1.1460`	`1.3240`	`0.866`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`0.0000`	`0.0000`
`RSyn0820H (max)`	`1.3090`	`1.2260`	`1.068`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`0.0000`	`0.0000`
`RSyn0820M02H (max)`	`4.4300`	`0.7970`	---	`1092.09000000`	`mstat(13) sstat(1)`	`1092.09000000`	---	`0.0000`	`---`
`RSyn0820M02M (max)`	`28.0010`	`2544.9800`	`0.011`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`0.0000`	`0.0000`
`RSyn0820M03H (max)`	`7.7190`	`1.1540`	---	`2028.81000000`	`mstat(13) sstat(1)`	`2028.81000000`	---	`0.0000`	`---`
`RSyn0820M03M (max)`	`23.0700`	`7543.7500`	`0.003`	`2028.81000000`	`2009.08000000`	`2028.81000000`	`2473.50000000`	`0.0000`	`0.1878`
`RSyn0820M04H (max)`	`11.6270`	`2.2000`	---	`2450.77000000`	`mstat(13) sstat(1)`	`2450.77000000`	---	`0.0000`	`---`
`RSyn0820M04M (max)`	`26.0200`	`7357.5500`	`0.004`	`2450.77000000`	`2406.04000000`	`2450.77000000`	`3286.00000000`	`0.0000`	`0.2678`
`RSyn0820M (max)`	`2.3010`	`3.0760`	`0.748`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`0.0000`	`0.0000`
`RSyn0840H (max)`	`2.4300`	`0.3550`	---	`325.55500000`	`mstat(13) sstat(1)`	`325.55500000`	---	`0.0000`	`---`
`RSyn0840M02H (max)`	`13.8590`	`1.8590`	`7.455`	`734.98400000`	`734.98400000`	`734.98500000`	`734.98400000`	`0.0000`	`0.0000`
`RSyn0840M02M (max)`	`29.1150`	`7649.7500`	`0.004`	`734.98300000`	`732.20500000`	`734.98500000`	`754.17300000`	`0.0000`	`0.0291`
`RSyn0840M03H (max)`	`30.3690`	`6.8420`	`4.439`	`2742.65000000`	`2742.65000000`	`2742.65000000`	`2742.65000000`	`0.0000`	`0.0000`
`RSyn0840M03M (max)`	`50.1770`	`7602.9100`	`0.007`	`2742.65000000`	`2735.85000000`	`2742.65000000`	`2802.70000000`	`0.0000`	`0.0239`
`RSyn0840M04H (max)`	`77.1670`	`17.8030`	`4.334`	`2564.50000000`	`2564.50000000`	`2564.50000000`	`2564.50000000`	`0.0000`	`0.0000`
`RSyn0840M04M (max)`	`543.7590`	`7513.6400`	`0.072`	`2564.50000000`	`2448.69000000`	`2564.50000000`	`3827.05000000`	`0.0000`	`0.3602`
`RSyn0840M (max)`	`2.5790`	`2.9260`	`0.881`	`325.55500000`	`325.55500000`	`325.55500000`	`325.55500000`	`0.0000`	`0.0000`
`SLay05H`	`118.8330`	`2.4860`	`47.801`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`0.0000`	`0.0000`
`SLay05M`	`77.8080`	`0.4620`	`168.416`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`0.0000`	`0.0000`
`SLay06H`	`244.1010`	`11.5030`	`21.221`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`0.0000`	`0.0000`
`SLay06M`	`157.3150`	`0.8940`	`175.968`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`0.0000`	`0.0000`
`SLay07H`	`746.2320`	`60.6700`	`12.300`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`0.0000`	`0.0000`
`SLay07M`	`431.6340`	`1.7220`	`250.659`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`0.0000`	`0.0000`
`SLay08H`	`1579.8000`	`174.7850`	`9.039`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`0.0000`	`0.0000`
`SLay08M`	`821.5290`	`5.6610`	`145.121`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`0.0000`	`0.0000`
`SLay09H`	`7202.2300`	`7248.6500`	`0.994`	`107983.00000000`	`107983.00000000`	`98642.60000000`	`105702.00000000`	`0.0947`	`0.0216`
`SLay09M`	`2096.7000`	`28.1110`	`74.586`	`107806.00000000`	`107806.00000000`	`107806.00000000`	`107806.00000000`	`0.0000`	`0.0000`
`SLay10H`	`7202.0600`	`7251.0400`	`0.993`	`129876.00000000`	`130088.00000000`	`118969.00000000`	`119968.00000000`	`0.0917`	`0.0844`
`SLay10M`	`7202.2800`	`396.9250`	`18.145`	`129796.00000000`	`129580.00000000`	`112365.00000000`	`129580.00000000`	`0.1551`	`0.0000`
`Syn10H (max)`	`0.0950`	`0.1720`	`0.552`	`1267.35000000`	`1267.35000000`	`1267.35000000`	`1267.35000000`	`0.0000`	`0.0000`
`Syn10M02H (max)`	`1.0430`	`0.2590`	`4.027`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`0.0000`	`0.0000`
`Syn10M02M (max)`	`0.7600`	`0.4210`	`1.805`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`0.0000`	`0.0000`
`Syn10M03H (max)`	`1.1770`	`0.3040`	`3.872`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`0.0000`	`0.0000`
`Syn10M03M (max)`	`1.0970`	`0.9830`	`1.116`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`0.0000`	`0.0000`
`Syn10M04H (max)`	`2.1200`	`0.1810`	`11.713`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`0.0000`	`0.0000`
`Syn10M04M (max)`	`1.9320`	`1.0200`	`1.894`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`0.0000`	`0.0000`
`Syn10M (max)`	`0.1580`	`0.0670`	---	`1267.35000000`	`mstat(13) sstat(1)`	`1267.35000000`	---	`0.0000`	`---`
`Syn20H (max)`	`0.8670`	`0.3190`	`2.718`	`924.26300000`	`924.26300000`	`924.26500000`	`924.26300000`	`0.0000`	`0.0000`
`Syn20M02H (max)`	`1.2090`	`0.5650`	`2.140`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`0.0000`	`0.0000`
`Syn20M02M (max)`	`0.9900`	`1.3480`	`0.734`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`0.0000`	`0.0000`
`Syn20M03H (max)`	`2.2050`	`0.5830`	`3.782`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`0.0000`	`0.0000`
`Syn20M03M (max)`	`1.5200`	`2.0970`	`0.725`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`0.0000`	`0.0000`
`Syn20M04H (max)`	`3.0560`	`0.8500`	`3.595`	`3532.74000000`	`3532.74000000`	`3532.75000000`	`3532.75000000`	`0.0000`	`0.0000`
`Syn20M04M (max)`	`2.5290`	`8.1460`	`0.310`	`3532.74000000`	`3532.74000000`	`3532.74000000`	`3532.74000000`	`0.0000`	`0.0000`
`Syn20M (max)`	`1.1480`	`0.2210`	`5.195`	`924.26300000`	`924.26300000`	`924.26400000`	`924.26300000`	`0.0000`	`0.0000`
`Syn40H (max)`	`2.2640`	`0.6920`	`3.272`	`67.71340000`	`67.71340000`	`67.71360000`	`67.71340000`	`0.0000`	`0.0000`
`Syn40M02H (max)`	`4.9100`	`1.4210`	`3.455`	`388.77300000`	`388.77300000`	`388.77400000`	`388.77300000`	`0.0000`	`0.0000`
`Syn40M02M (max)`	`4.3890`	`8.1890`	`0.536`	`388.77200000`	`388.77200000`	`388.77300000`	`388.77200000`	`0.0000`	`0.0000`
`Syn40M03H (max)`	`10.8970`	`5.8460`	`1.864`	`395.14900000`	`395.14900000`	`395.15000000`	`395.14900000`	`0.0000`	`0.0000`
`Syn40M03M (max)`	`10.4170`	`76.3700`	`0.136`	`395.14800000`	`395.14800000`	`395.14900000`	`395.14800000`	`0.0000`	`0.0000`
`Syn40M04H (max)`	`21.2340`	`5.7460`	`3.695`	`901.75200000`	`901.75200000`	`901.75500000`	`901.75200000`	`0.0000`	`0.0000`
`Syn40M04M (max)`	`20.9420`	`4042.3500`	`0.005`	`901.75100000`	`901.75100000`	`901.75400000`	`901.75100000`	`0.0000`	`0.0000`
`Syn40M (max)`	`2.2290`	`0.7600`	`2.933`	`67.71330000`	`67.71330000`	`67.71350000`	`67.71330000`	`0.0000`	`0.0000`
`sssd-8-4-3`	`3.1510`	`1.3690`	`2.302`	`197181.00000000`	`197181.00000000`	`197181.00000000`	`197181.00000000`	`0.0000`	`0.0000`
`sssd-10-4-3`	`6.8130`	`4.8840`	`1.395`	`152710.00000000`	`152710.00000000`	`152710.00000000`	`152710.00000000`	`0.0000`	`0.0000`
`sssd-12-5-3`	`24.2350`	`24.9800`	`0.970`	`261143.00000000`	`261143.00000000`	`261142.00000000`	`261143.00000000`	`0.0000`	`0.0000`
`sssd-15-6-3`	`118.7660`	`93.9230`	`1.265`	`440711.00000000`	`440711.00000000`	`440711.00000000`	`440711.00000000`	`0.0000`	`0.0000`
`sssd-16-8-3`	`3710.8100`	`966.8690`	`3.838`	`615763.00000000`	`615763.00000000`	`615763.00000000`	`615763.00000000`	`0.0000`	`0.0000`
`sssd-18-8-3`	`5649.0100`	`2007.8900`	`2.813`	`524063.00000000`	`524063.00000000`	`524063.00000000`	`524062.00000000`	`0.0000`	`0.0000`
`sssd-20-9-3`	`7202.5300`	`7343.1200`	`0.981`	`489487.00000000`	`478437.00000000`	`467306.00000000`	`476479.00000000`	`0.0475`	`0.0041`
`sssd-22-8-3`	`7202.7000`	`7313.1400`	`0.985`	`602410.00000000`	`596151.00000000`	`585703.00000000`	`595601.00000000`	`0.0285`	`0.0009`
`uflquad-15-60`	`7202.2100`	`55.5540`	`129.643`	`1063.19000000`	`1063.19000000`	`150.03600000`	`1063.19000000`	`6.0862`	`0.0000`
`uflquad-15-80`	`7202.2300`	`135.7990`	`53.036`	`1217.99000000`	`1217.99000000`	`-56.14740000`	`1217.99000000`	`22.6927`	`0.0000`
`uflquad-20-40`	`7202.1600`	`63.0340`	`114.258`	`860.96100000`	`860.96100000`	`111.42300000`	`860.96100000`	`6.7270`	`0.0000`
`uflquad-20-50`	`7202.1300`	`7264.0500`	`0.991`	`394.98200000`	`375.91900000`	`-483.34100000`	`302.77000000`	`1.8172`	`0.2416`
`uflquad-25-25`	`7202.1900`	`19.6040`	`367.384`	`673.69700000`	`673.69700000`	`229.50000000`	`673.69700000`	`1.9355`	`0.0000`
`uflquad-25-30`	`7202.1900`	`25.4050`	`283.495`	`669.84000000`	`669.84000000`	`22.43660000`	`669.84000000`	`28.8548`	`0.0000`
`uflquad-25-40`	`7202.2000`	`129.8530`	`55.464`	`828.16500000`	`828.16500000`	`193.96600000`	`828.16500000`	`3.2696`	`0.0000`
`nd-10`	`5943.3000`	`33.6680`	`176.527`	`52.46110000`	`52.46110000`	`52.46110000`	`52.46110000`	`0.0000`	`0.0000`
`nd-12`	`684.6800`	`170.7070`	`4.011`	`56.66960000`	`56.66960000`	`56.66960000`	`56.66960000`	`0.0000`	`0.0000`
`nd-13`	`7202.3300`	`7222.1200`	`0.997`	`63.00510000`	`63.00510000`	`53.17870000`	`58.18300000`	`0.1848`	`0.0829`
`nd-15`	`7202.2600`	`7222.6900`	---	`mstat(13) sstat(1)`	`82.59770000`	---	`68.86560000`	`---`	`0.1994`
`nd-16`	`7202.3300`	`7222.1600`	`0.997`	`98.19780000`	`98.10190000`	`89.58430000`	`93.90990000`	`0.0961`	`0.0446`
`fo7_2`	`16.2510`	`669.6300`	`0.024`	`17.74930000`	`17.74930000`	`17.74930000`	`17.74930000`	`0.0000`	`0.0000`
`fo7_ar2_1`	`71.6920`	`289.6840`	`0.247`	`24.83980000`	`24.83980000`	`24.83980000`	`24.83980000`	`0.0000`	`0.0000`
`fo7_ar25_1`	`68.7200`	`98.4970`	`0.698`	`23.09360000`	`23.09360000`	`23.09360000`	`23.09360000`	`0.0000`	`0.0000`
`fo7_ar3_1`	`143.0130`	`253.5790`	`0.564`	`22.51750000`	`22.51750000`	`22.51750000`	`22.51750000`	`0.0000`	`0.0000`
`fo7_ar4_1`	`129.5990`	`255.6380`	`0.507`	`20.72980000`	`20.72980000`	`20.72980000`	`20.72980000`	`0.0000`	`0.0000`
`fo7_ar5_1`	`26.7280`	`52.8810`	`0.505`	`17.74930000`	`17.74930000`	`17.74930000`	`17.74930000`	`0.0000`	`0.0000`
`fo7`	`158.3240`	`585.4510`	`0.270`	`20.72980000`	`20.72980000`	`20.72980000`	`20.72980000`	`0.0000`	`0.0000`
`fo8_ar2_1`	`416.7040`	`2852.8100`	`0.146`	`30.34060000`	`30.34060000`	`30.34060000`	`30.34060000`	`0.0000`	`0.0000`
`fo8_ar25_1`	`432.2920`	`1939.5800`	`0.223`	`28.04520000`	`28.04520000`	`28.04520000`	`28.04520000`	`0.0000`	`0.0000`
`fo8_ar3_1`	`175.8330`	`741.7770`	`0.237`	`23.91010000`	`23.91010000`	`23.91010000`	`23.91010000`	`0.0000`	`0.0000`
`fo8_ar4_1`	`130.3020`	`745.5250`	`0.175`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo8_ar5_1`	`469.2460`	`901.8370`	`0.520`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo8`	`532.1980`	`3786.5400`	`0.141`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo9_ar2_1`	`1938.4500`	`7285.5400`	`0.266`	`32.62500000`	`32.62500000`	`32.62500000`	`28.82180000`	`0.0000`	`0.1320`
`fo9_ar25_1`	`7202.1900`	`7281.9100`	`0.989`	`32.18640000`	`32.25000000`	`31.30790000`	`27.19580000`	`0.0281`	`0.1858`
`fo9_ar3_1`	`1033.5200`	`5716.6100`	`0.181`	`24.81550000`	`24.81550000`	`24.81550000`	`24.81550000`	`0.0000`	`0.0000`
`fo9_ar4_1`	`1274.7400`	`4651.0300`	`0.274`	`23.46430000`	`23.46430000`	`23.46430000`	`23.46430000`	`0.0000`	`0.0000`
`fo9_ar5_1`	`2653.3400`	`2552.4500`	`1.040`	`23.46430000`	`23.46430000`	`23.46430000`	`23.46430000`	`0.0000`	`0.0000`
`fo9`	`3049.9300`	`7297.3900`	`0.418`	`23.46430000`	`23.46430000`	`23.46430000`	`19.54830000`	`0.0000`	`0.2003`
`m3`	`0.4270`	`0.2430`	`1.757`	`37.80000000`	`37.80000000`	`37.80000000`	`37.80000000`	`0.0000`	`0.0000`
`m6`	`1.4800`	`7.3190`	`0.202`	`82.25690000`	`82.25690000`	`82.25690000`	`82.25690000`	`0.0000`	`0.0000`
`m7_ar2_1`	`6.8390`	`163.7190`	`0.042`	`190.23500000`	`190.23500000`	`190.23500000`	`190.23500000`	`0.0000`	`0.0000`
`m7_ar25_1`	`1.0600`	`11.1670`	`0.095`	`143.58500000`	`143.58500000`	`143.58500000`	`143.58500000`	`0.0000`	`0.0000`
`m7_ar3_1`	`10.8580`	`91.9730`	`0.118`	`143.58500000`	`143.58500000`	`143.58500000`	`143.58500000`	`0.0000`	`0.0000`
`m7_ar4_1`	`0.9760`	`34.5850`	`0.028`	`106.75700000`	`106.75700000`	`106.75700000`	`106.75700000`	`0.0000`	`0.0000`
`m7_ar5_1`	`3.7390`	`68.2970`	`0.055`	`106.46000000`	`106.46000000`	`106.46000000`	`106.46000000`	`0.0000`	`0.0000`
`m7`	`2.8200`	`184.2350`	`0.015`	`106.75700000`	`106.75700000`	`106.75700000`	`106.75700000`	`0.0000`	`0.0000`
`netmod_dol1`	`7202.1700`	`7273.5300`	`0.990`	`-0.55976000`	`-0.56000800`	`-0.64218600`	`-0.67306100`	`0.1284`	`0.1680`
`netmod_dol2`	`408.5090`	`228.5540`	`1.787`	`-0.56000800`	`-0.56000800`	`-0.56000800`	`-0.56000800`	`0.0000`	`0.0000`
`netmod_kar1`	`81.9920`	`42.5770`	`1.926`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`0.0000`	`0.0000`
`netmod_kar2`	`82.5560`	`42.8470`	`1.927`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`0.0000`	`0.0000`
`no7_ar2_1`	`131.1430`	`242.3140`	`0.541`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar25_1`	`221.2130`	`602.9350`	`0.367`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar3_1`	`361.9430`	`1243.3800`	`0.291`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar4_1`	`308.8270`	`823.2470`	`0.375`	`98.51840000`	`98.51840000`	`98.51840000`	`98.51840000`	`0.0000`	`0.0000`
`no7_ar5_1`	`197.2660`	`477.5190`	`0.413`	`90.62270000`	`90.62270000`	`90.62270000`	`90.62270000`	`0.0000`	`0.0000`
`o7_2`	`1225.8300`	`1422.8800`	`0.862`	`116.94600000`	`116.94600000`	`116.94600000`	`116.94600000`	`0.0000`	`0.0000`
`o7_ar2_1`	`164.5370`	`663.4050`	`0.248`	`140.41200000`	`140.41200000`	`140.41200000`	`140.41200000`	`0.0000`	`0.0000`
`o7_ar25_1`	`876.7070`	`1119.5700`	`0.783`	`140.41200000`	`140.41200000`	`140.41200000`	`140.41200000`	`0.0000`	`0.0000`
`o7_ar3_1`	`689.1960`	`1992.6000`	`0.346`	`137.93200000`	`137.93200000`	`137.93200000`	`137.93200000`	`0.0000`	`0.0000`
`o7_ar4_1`	`4416.5100`	`2899.6600`	`1.523`	`131.65300000`	`131.65300000`	`131.65300000`	`131.65300000`	`0.0000`	`0.0000`
`o7_ar5_1`	`645.0260`	`1073.7500`	`0.601`	`116.94600000`	`116.94600000`	`116.94600000`	`116.94600000`	`0.0000`	`0.0000`
`o7`	`7202.2300`	`4180.1300`	`1.723`	`131.65300000`	`131.65300000`	`97.11390000`	`131.65300000`	`0.3557`	`0.0000`
`o8_ar4_1`	`7202.4500`	`7332.2800`	`0.982`	`243.07100000`	`256.13100000`	`174.30600000`	`196.32100000`	`0.3945`	`0.3047`
`o9_ar4_1`	`7202.6900`	`7282.0300`	`0.989`	`266.02800000`	`277.23900000`	`210.81100000`	`163.96900000`	`0.2619`	`0.6908`
`tls12`	`7202.3000`	`7262.9300`	---	`mstat(14) sstat(3)`	`mstat(14) sstat(3)`	---	---	---	---
`tls2`	`0.3030`	`0.5020`	`0.604`	`5.30000000`	`5.30000000`	`5.30000000`	`5.30000000`	`0.0000`	`0.0000`
`tls4`	`224.4940`	`1082.3800`	`0.207`	`8.30000000`	`8.30000000`	`8.30000000`	`8.30000000`	`0.0000`	`0.0000`
`tls5`	`7202.2800`	`7285.5500`	`0.989`	`14.60000000`	`10.80000000`	`6.30000000`	`5.99275000`	`1.3175`	`0.8022`
`tls6`	`7202.2800`	`7284.2000`	---	`39.10000000`	`mstat(14) sstat(3)`	`3.86909000`	---	`9.1057`	`---`
`tls7`	`7202.3400`	`7268.1300`	---	`53.80000000`	`mstat(14) sstat(3)`	`1.34735000`	---	`38.9302`	`---`
Shifted Geometric Mean (Solved)	145.94	173.13
% Unsolved	18.06%	19.35%