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-hyb 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-hyb.pav
Solvers used :	ALPHAECP_alphaecp-minlpconvex2
	BONMIN_bonmin-hyb
Modeltype(s)	`MINLP`

	BONMIN_bonmin-hyb: optimal	BONMIN_bonmin-hyb: locally optimal	BONMIN_bonmin-hyb: feasible	BONMIN_bonmin-hyb: infeasible	BONMIN_bonmin-hyb: unbounded	BONMIN_bonmin-hyb: fail	BONMIN_bonmin-hyb: no data	total ALPHAECP_alphaecp-minlpconvex2
ALPHAECP_alphaecp-minlpconvex2: optimal	`118`	-	`7`	-	-	`2`	-	`127`
ALPHAECP_alphaecp-minlpconvex2: locally optimal	-	-	-	-	-	-	-	`-`
ALPHAECP_alphaecp-minlpconvex2: feasible	`11`	-	`14`	-	-	`1`	-	`26`
ALPHAECP_alphaecp-minlpconvex2: infeasible	-	-	-	-	-	-	-	`-`
ALPHAECP_alphaecp-minlpconvex2: unbounded	-	-	-	-	-	-	-	`-`
ALPHAECP_alphaecp-minlpconvex2: fail	-	-	`1`	-	-	`1`	-	`2`
ALPHAECP_alphaecp-minlpconvex2: no data	-	-	-	-	-	-	-	`-`
total BONMIN_bonmin-hyb	`129`	`-`	`22`	`-`	`-`	`4`	`-`	`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-hyb: optimal

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-hyb)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-hyb)
`BatchS101006M`	`46.3370`	`25.8700`	`1.791`	`769440.00000000`	`769440.00000000`
`BatchS121208M`	`887.7220`	`46.4590`	`19.108`	`1241130.00000000`	`1241130.00000000`
`BatchS151208M`	`1088.1000`	`60.0490`	`18.120`	`1543470.00000000`	`1543470.00000000`
`BatchS201210M`	`127.0950`	`79.8440`	`1.592`	`2295350.00000000`	`2295350.00000000`
`clay0203h`	`3.0090`	`4.1880`	`0.718`	`41573.30000000`	`41573.30000000`
`clay0203m`	`2.0080`	`2.6970`	`0.745`	`41573.30000000`	`41573.30000000`
`clay0204h`	`11.3170`	`11.4310`	`0.990`	`6545.00000000`	`6545.00000000`
`clay0204m`	`6.1480`	`4.4130`	`1.393`	`6545.00000000`	`6545.00000000`
`clay0205h`	`38.3660`	`110.8940`	`0.346`	`8092.50000000`	`8092.50000000`
`clay0205m`	`22.6960`	`16.6980`	`1.359`	`8092.50000000`	`8092.50000000`
`clay0303h`	`3.9740`	`9.6990`	`0.410`	`26669.10000000`	`26669.10000000`
`clay0303m`	`3.0000`	`3.8930`	`0.771`	`26669.10000000`	`26669.10000000`
`clay0304h`	`16.5760`	`493.1600`	`0.034`	`40262.40000000`	`40262.40000000`
`clay0304m`	`7.2770`	`56.5330`	`0.129`	`40262.40000000`	`40262.40000000`
`clay0305h`	`43.1620`	`171.6710`	`0.251`	`8092.50000000`	`8092.50000000`
`clay0305m`	`24.5400`	`11.6780`	`2.101`	`8092.50000000`	`8092.50000000`
`FLay03H`	`8.6170`	`1.9520`	`4.414`	`48.98980000`	`48.98980000`
`FLay03M`	`3.3270`	`1.0510`	`3.166`	`48.98980000`	`48.98980000`
`FLay04H`	`147.2640`	`18.5320`	`7.946`	`54.40590000`	`54.40590000`
`FLay04M`	`118.6470`	`12.1130`	`9.795`	`54.40590000`	`54.40590000`
`RSyn0810H`	`0.6630`	`1.1150`	`0.595`	`1721.45000000`	`1721.45000000`
`RSyn0810M02H`	`6.3970`	`4.0870`	`1.565`	`1741.39000000`	`1741.39000000`
`RSyn0810M02M`	`29.5920`	`83.8960`	`0.353`	`1741.39000000`	`1741.39000000`
`RSyn0810M03H`	`11.5210`	`10.8450`	`1.062`	`2722.45000000`	`2722.45000000`
`RSyn0810M03M`	`35.6170`	`1045.3900`	`0.034`	`2722.45000000`	`2722.45000000`
`RSyn0810M04H`	`16.9230`	`7.6860`	`2.202`	`6581.94000000`	`6581.94000000`
`RSyn0810M04M`	`32.5020`	`1295.9100`	`0.025`	`6581.93000000`	`6581.93000000`
`RSyn0810M`	`1.1460`	`1.4900`	`0.769`	`1721.45000000`	`1721.45000000`
`RSyn0820H`	`1.3090`	`2.5190`	`0.520`	`1150.30000000`	`1150.30000000`
`RSyn0820M02H`	`4.4300`	`4.1210`	`1.075`	`1092.09000000`	`1092.09000000`
`RSyn0820M02M`	`28.0010`	`544.8660`	`0.051`	`1092.09000000`	`1092.09000000`
`RSyn0820M03H`	`7.7190`	`12.2690`	`0.629`	`2028.81000000`	`2028.81000000`
`RSyn0820M04H`	`11.6270`	`12.3980`	`0.938`	`2450.77000000`	`2450.77000000`
`RSyn0820M`	`2.3010`	`8.0470`	`0.286`	`1150.30000000`	`1150.30000000`
`RSyn0840H`	`2.4300`	`1.4330`	`1.696`	`325.55500000`	`325.55500000`
`RSyn0840M02H`	`13.8590`	`3.3540`	`4.132`	`734.98400000`	`734.98400000`
`RSyn0840M04H`	`77.1670`	`21.5470`	`3.581`	`2564.50000000`	`2564.50000000`
`RSyn0840M`	`2.5790`	`16.7770`	`0.154`	`325.55500000`	`325.55500000`
`SLay05H`	`118.8330`	`8.4460`	`14.070`	`22664.70000000`	`22664.70000000`
`SLay05M`	`77.8080`	`1.2310`	`63.207`	`22664.70000000`	`22664.70000000`
`SLay06H`	`244.1010`	`25.8010`	`9.461`	`32757.00000000`	`32757.00000000`
`SLay06M`	`157.3150`	`3.0400`	`51.748`	`32757.00000000`	`32757.00000000`
`SLay07H`	`746.2320`	`89.7690`	`8.313`	`64748.80000000`	`64748.80000000`
`SLay07M`	`431.6340`	`5.1260`	`84.205`	`64748.80000000`	`64748.80000000`
`SLay08H`	`1579.8000`	`231.4060`	`6.827`	`84960.20000000`	`84960.20000000`
`SLay08M`	`821.5290`	`14.1080`	`58.231`	`84960.20000000`	`84960.20000000`
`SLay09M`	`2096.7000`	`42.7860`	`49.004`	`107806.00000000`	`107806.00000000`
`Syn10H`	`0.0950`	`0.6440`	`0.148`	`1267.35000000`	`1267.35000000`
`Syn10M02H`	`1.0430`	`0.8510`	`1.226`	`2310.30000000`	`2310.30000000`
`Syn10M02M`	`0.7600`	`0.5760`	`1.319`	`2310.30000000`	`2310.30000000`
`Syn10M03H`	`1.1770`	`1.0360`	`1.136`	`3354.68000000`	`3354.68000000`
`Syn10M03M`	`1.0970`	`0.6150`	`1.784`	`3354.68000000`	`3354.68000000`
`Syn10M04H`	`2.1200`	`1.0810`	`1.961`	`4557.06000000`	`4557.06000000`
`Syn10M04M`	`1.9320`	`1.0700`	`1.806`	`4557.06000000`	`4557.06000000`
`Syn20H`	`0.8670`	`0.9380`	`0.924`	`924.26300000`	`924.26300000`
`Syn20M02H`	`1.2090`	`1.1640`	`1.039`	`1752.13000000`	`1752.13000000`
`Syn20M02M`	`0.9900`	`1.3020`	`0.760`	`1752.13000000`	`1752.13000000`
`Syn20M03H`	`2.2050`	`2.0970`	`1.052`	`2646.95000000`	`2646.95000000`
`Syn20M03M`	`1.5200`	`2.9490`	`0.515`	`2646.95000000`	`2646.95000000`
`Syn20M04H`	`3.0560`	`2.9870`	`1.023`	`3532.74000000`	`3532.74000000`
`Syn20M04M`	`2.5290`	`9.0510`	`0.279`	`3532.74000000`	`3532.74000000`
`Syn20M`	`1.1480`	`0.4590`	`2.501`	`924.26300000`	`924.26300000`
`Syn40H`	`2.2640`	`1.2300`	`1.841`	`67.71340000`	`67.71340000`
`Syn40M02H`	`4.9100`	`1.5640`	`3.139`	`388.77300000`	`388.77300000`
`Syn40M02M`	`4.3890`	`9.7590`	`0.450`	`388.77200000`	`388.77200000`
`Syn40M03H`	`10.8970`	`15.4660`	`0.705`	`395.14900000`	`395.14900000`
`Syn40M03M`	`10.4170`	`3068.0700`	`0.003`	`395.14800000`	`395.14800000`
`Syn40M04H`	`21.2340`	`15.3270`	`1.385`	`901.75200000`	`901.75200000`
`Syn40M04M`	`20.9420`	`5722.4800`	`0.004`	`901.75100000`	`901.75100000`
`Syn40M`	`2.2290`	`1.2650`	`1.762`	`67.71330000`	`67.71330000`
`sssd-8-4-3`	`3.1510`	`1.3250`	`2.378`	`197181.00000000`	`197181.00000000`
`sssd-10-4-3`	`6.8130`	`1.6560`	`4.114`	`152710.00000000`	`152710.00000000`
`sssd-12-5-3`	`24.2350`	`42.0410`	`0.576`	`261143.00000000`	`261143.00000000`
`sssd-15-6-3`	`118.7660`	`61.3160`	`1.937`	`440711.00000000`	`440711.00000000`
`sssd-16-8-3`	`3710.8100`	`761.9770`	`4.870`	`615763.00000000`	`615763.00000000`
`sssd-18-8-3`	`5649.0100`	`841.6700`	`6.712`	`524063.00000000`	`524063.00000000`
`nd-10`	`5943.3000`	`42.5860`	`139.560`	`52.46110000`	`52.46110000`
`nd-12`	`684.6800`	`183.5050`	`3.731`	`56.66960000`	`56.66960000`
`fo7_2`	`16.2510`	`99.3470`	`0.164`	`17.74930000`	`17.74930000`
`fo7_ar2_1`	`71.6920`	`401.3470`	`0.179`	`24.83980000`	`24.83980000`
`fo7_ar25_1`	`68.7200`	`220.1330`	`0.312`	`23.09360000`	`23.09360000`
`fo7_ar3_1`	`143.0130`	`192.7660`	`0.742`	`22.51750000`	`22.51750000`
`fo7_ar4_1`	`129.5990`	`259.7450`	`0.499`	`20.72980000`	`20.72980000`
`fo7_ar5_1`	`26.7280`	`55.1540`	`0.485`	`17.74930000`	`17.74930000`
`fo7`	`158.3240`	`1100.1200`	`0.144`	`20.72980000`	`20.72980000`
`fo8_ar2_1`	`416.7040`	`2301.8800`	`0.181`	`30.34060000`	`30.34060000`
`fo8_ar25_1`	`432.2920`	`3448.7200`	`0.125`	`28.04520000`	`28.04520000`
`fo8_ar3_1`	`175.8330`	`1526.5000`	`0.115`	`23.91010000`	`23.91010000`
`fo8_ar4_1`	`130.3020`	`802.0580`	`0.162`	`22.38190000`	`22.38190000`
`fo8_ar5_1`	`469.2460`	`748.5300`	`0.627`	`22.38190000`	`22.38190000`
`fo8`	`532.1980`	`3903.7200`	`0.136`	`22.38190000`	`22.38190000`
`fo9_ar3_1`	`1033.5200`	`4415.4200`	`0.234`	`24.81550000`	`24.81550000`
`fo9_ar4_1`	`1274.7400`	`2857.2600`	`0.446`	`23.46430000`	`23.46430000`
`fo9_ar5_1`	`2653.3400`	`5114.2900`	`0.519`	`23.46430000`	`23.46430000`
`m3`	`0.4270`	`0.4080`	`1.047`	`37.80000000`	`37.80000000`
`m6`	`1.4800`	`17.3510`	`0.085`	`82.25690000`	`82.25690000`
`m7_ar2_1`	`6.8390`	`79.1760`	`0.086`	`190.23500000`	`190.23500000`
`m7_ar25_1`	`1.0600`	`20.5300`	`0.052`	`143.58500000`	`143.58500000`
`m7_ar3_1`	`10.8580`	`84.1390`	`0.129`	`143.58500000`	`143.58500000`
`m7_ar4_1`	`0.9760`	`134.7340`	`0.007`	`106.75700000`	`106.75700000`
`m7_ar5_1`	`3.7390`	`173.0310`	`0.022`	`106.46000000`	`106.46000000`
`m7`	`2.8200`	`57.0230`	`0.049`	`106.75700000`	`106.75700000`
`netmod_dol2`	`408.5090`	`337.4090`	`1.211`	`-0.56000800`	`-0.56000800`
`netmod_kar1`	`81.9920`	`29.9370`	`2.739`	`-0.41979000`	`-0.41979000`
`netmod_kar2`	`82.5560`	`29.9190`	`2.759`	`-0.41979000`	`-0.41979000`
`no7_ar2_1`	`131.1430`	`204.2040`	`0.642`	`107.81500000`	`107.81500000`
`no7_ar25_1`	`221.2130`	`613.4560`	`0.361`	`107.81500000`	`107.81500000`
`no7_ar3_1`	`361.9430`	`1017.7600`	`0.356`	`107.81500000`	`107.81500000`
`no7_ar4_1`	`308.8270`	`879.8670`	`0.351`	`98.51840000`	`98.51840000`
`no7_ar5_1`	`197.2660`	`373.7740`	`0.528`	`90.62270000`	`90.62270000`
`o7_2`	`1225.8300`	`1688.1700`	`0.726`	`116.94600000`	`116.94600000`
`o7_ar2_1`	`164.5370`	`596.8440`	`0.276`	`140.41200000`	`140.41200000`
`o7_ar25_1`	`876.7070`	`1431.4000`	`0.612`	`140.41200000`	`140.41200000`
`o7_ar3_1`	`689.1960`	`1752.8300`	`0.393`	`137.93200000`	`137.93200000`
`o7_ar4_1`	`4416.5100`	`2517.3300`	`1.754`	`131.65300000`	`131.65300000`
`o7_ar5_1`	`645.0260`	`1246.5100`	`0.517`	`116.94600000`	`116.94600000`
`tls2`	`0.3030`	`11.3150`	`0.027`	`5.30000000`	`5.30000000`
`tls4`	`224.4940`	`1252.1500`	`0.179`	`8.30000000`	`8.30000000`

ALPHAECP_alphaecp-minlpconvex2: optimal -- BONMIN_bonmin-hyb: feasible

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-hyb)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-hyb)
`RSyn0820M03M`	`23.0700`	`7324.1500`	`0.003`	`2028.81000000`	`2028.81000000`
`RSyn0820M04M`	`26.0200`	`7561.4700`	`0.003`	`2450.77000000`	`2366.93000000`
`RSyn0840M02M`	`29.1150`	`7264.9200`	`0.004`	`734.98300000`	`730.18800000`
`RSyn0840M03M`	`50.1770`	`7250.8900`	`0.007`	`2742.65000000`	`2713.87000000`
`RSyn0840M04M`	`543.7590`	`7526.7300`	`0.072`	`2564.50000000`	`2502.36000000`
`fo9_ar2_1`	`1938.4500`	`7262.2100`	`0.267`	`32.62500000`	`34.43130000`
`fo9`	`3049.9300`	`7273.4200`	`0.419`	`23.46430000`	`23.46430000`

ALPHAECP_alphaecp-minlpconvex2: optimal -- BONMIN_bonmin-hyb: fail

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-hyb)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Status (BONMIN_bonmin-hyb)
`RSyn0840M03H`	`30.3690`	`11.3200`	---	`2742.65000000`	`mstat(13)sstat( 1)`
`Syn10M`	`0.1580`	`0.1470`	---	`1267.35000000`	`mstat(13)sstat( 1)`

ALPHAECP_alphaecp-minlpconvex2: feasible -- BONMIN_bonmin-hyb: optimal

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-hyb)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-hyb)
`FLay05H`	`7202.2400`	`315.7480`	`22.810`	`64.49810000`	`64.49810000`
`FLay05M`	`7202.2100`	`75.7710`	`95.052`	`64.49810000`	`64.49810000`
`SLay09H`	`7202.2300`	`3633.1000`	`1.982`	`107983.00000000`	`107806.00000000`
`SLay10M`	`7202.2800`	`483.9660`	`14.882`	`129796.00000000`	`129580.00000000`
`uflquad-15-60`	`7202.2100`	`55.1940`	`130.489`	`1063.19000000`	`1063.19000000`
`uflquad-15-80`	`7202.2300`	`124.7640`	`57.727`	`1217.99000000`	`1217.99000000`
`uflquad-20-40`	`7202.1600`	`58.3210`	`123.492`	`860.96100000`	`860.96100000`
`uflquad-25-25`	`7202.1900`	`28.7690`	`250.346`	`673.69700000`	`673.69700000`
`uflquad-25-30`	`7202.1900`	`26.8910`	`267.829`	`669.84000000`	`669.84000000`
`uflquad-25-40`	`7202.2000`	`107.6530`	`66.902`	`828.16500000`	`828.16500000`
`o7`	`7202.2300`	`4029.9400`	`1.787`	`131.65300000`	`131.65300000`

ALPHAECP_alphaecp-minlpconvex2: feasible -- BONMIN_bonmin-hyb: feasible

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-hyb)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-hyb)
`FLay06H`	`7202.2200`	`7283.5900`	`0.989`	`66.93280000`	`66.93280000`
`FLay06M`	`7202.3700`	`7285.6700`	`0.989`	`66.93280000`	`66.93280000`
`SLay10H`	`7202.0600`	`7222.4000`	`0.997`	`129876.00000000`	`129810.00000000`
`sssd-20-9-3`	`7202.5300`	`7256.2400`	`0.993`	`489487.00000000`	`478366.00000000`
`sssd-22-8-3`	`7202.7000`	`7409.5600`	`0.972`	`602410.00000000`	`596029.00000000`
`uflquad-20-50`	`7202.1300`	`7234.9200`	`0.995`	`394.98200000`	`375.91900000`
`nd-13`	`7202.3300`	`7221.9700`	`0.997`	`63.00510000`	`63.00510000`
`nd-16`	`7202.3300`	`7221.4800`	`0.997`	`98.19780000`	`98.76090000`
`fo9_ar25_1`	`7202.1900`	`7280.0400`	`0.989`	`32.18640000`	`32.37500000`
`netmod_dol1`	`7202.1700`	`7225.1600`	`0.997`	`-0.55976000`	`-0.55782300`
`o8_ar4_1`	`7202.4500`	`7344.6000`	`0.981`	`243.07100000`	`253.21900000`
`o9_ar4_1`	`7202.6900`	`7273.9800`	`0.990`	`266.02800000`	`277.69800000`
`tls5`	`7202.2800`	`7236.9600`	`0.995`	`14.60000000`	`11.00000000`
`tls6`	`7202.2800`	`7234.6800`	`0.996`	`39.10000000`	`17.00000000`

ALPHAECP_alphaecp-minlpconvex2: feasible -- BONMIN_bonmin-hyb: fail

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-hyb)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Status (BONMIN_bonmin-hyb)
`tls7`	`7202.3400`	`7255.9000`	---	`53.80000000`	`mstat(14)sstat( 3)`

ALPHAECP_alphaecp-minlpconvex2: fail -- BONMIN_bonmin-hyb: feasible

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-hyb)	Status (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-hyb)
`nd-15`	`7202.2600`	`7221.2500`	---	`mstat(13)sstat( 1)`	`82.02720000`

ALPHAECP_alphaecp-minlpconvex2: fail -- BONMIN_bonmin-hyb: fail

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/BONMIN_bonmin-hyb)	Status (ALPHAECP_alphaecp-minlpconvex2)	Status (BONMIN_bonmin-hyb)
`tls12`	`7202.3000`	`7263.2900`	---	`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-hyb: optimal:

Modelname	Time (BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-hyb)
`BatchS101006M`	`25.8700`	`769440.00000000`
`BatchS121208M`	`46.4590`	`1241130.00000000`
`BatchS151208M`	`60.0490`	`1543470.00000000`
`BatchS201210M`	`79.8440`	`2295350.00000000`
`clay0203h`	`4.1880`	`41573.30000000`
`clay0203m`	`2.6970`	`41573.30000000`
`clay0204h`	`11.4310`	`6545.00000000`
`clay0204m`	`4.4130`	`6545.00000000`
`clay0205h`	`110.8940`	`8092.50000000`
`clay0205m`	`16.6980`	`8092.50000000`
`clay0303h`	`9.6990`	`26669.10000000`
`clay0303m`	`3.8930`	`26669.10000000`
`clay0304h`	`493.1600`	`40262.40000000`
`clay0304m`	`56.5330`	`40262.40000000`
`clay0305h`	`171.6710`	`8092.50000000`
`clay0305m`	`11.6780`	`8092.50000000`
`FLay03H`	`1.9520`	`48.98980000`
`FLay03M`	`1.0510`	`48.98980000`
`FLay04H`	`18.5320`	`54.40590000`
`FLay04M`	`12.1130`	`54.40590000`
`FLay05H`	`315.7480`	`64.49810000`
`FLay05M`	`75.7710`	`64.49810000`
`RSyn0810H`	`1.1150`	`1721.45000000`
`RSyn0810M02H`	`4.0870`	`1741.39000000`
`RSyn0810M02M`	`83.8960`	`1741.39000000`
`RSyn0810M03H`	`10.8450`	`2722.45000000`
`RSyn0810M03M`	`1045.3900`	`2722.45000000`
`RSyn0810M04H`	`7.6860`	`6581.94000000`
`RSyn0810M04M`	`1295.9100`	`6581.93000000`
`RSyn0810M`	`1.4900`	`1721.45000000`
`RSyn0820H`	`2.5190`	`1150.30000000`
`RSyn0820M02H`	`4.1210`	`1092.09000000`
`RSyn0820M02M`	`544.8660`	`1092.09000000`
`RSyn0820M03H`	`12.2690`	`2028.81000000`
`RSyn0820M04H`	`12.3980`	`2450.77000000`
`RSyn0820M`	`8.0470`	`1150.30000000`
`RSyn0840H`	`1.4330`	`325.55500000`
`RSyn0840M02H`	`3.3540`	`734.98400000`
`RSyn0840M04H`	`21.5470`	`2564.50000000`
`RSyn0840M`	`16.7770`	`325.55500000`
`SLay05H`	`8.4460`	`22664.70000000`
`SLay05M`	`1.2310`	`22664.70000000`
`SLay06H`	`25.8010`	`32757.00000000`
`SLay06M`	`3.0400`	`32757.00000000`
`SLay07H`	`89.7690`	`64748.80000000`
`SLay07M`	`5.1260`	`64748.80000000`
`SLay08H`	`231.4060`	`84960.20000000`
`SLay08M`	`14.1080`	`84960.20000000`
`SLay09H`	`3633.1000`	`107806.00000000`
`SLay09M`	`42.7860`	`107806.00000000`
`SLay10M`	`483.9660`	`129580.00000000`
`Syn10H`	`0.6440`	`1267.35000000`
`Syn10M02H`	`0.8510`	`2310.30000000`
`Syn10M02M`	`0.5760`	`2310.30000000`
`Syn10M03H`	`1.0360`	`3354.68000000`
`Syn10M03M`	`0.6150`	`3354.68000000`
`Syn10M04H`	`1.0810`	`4557.06000000`
`Syn10M04M`	`1.0700`	`4557.06000000`
`Syn20H`	`0.9380`	`924.26300000`
`Syn20M02H`	`1.1640`	`1752.13000000`
`Syn20M02M`	`1.3020`	`1752.13000000`
`Syn20M03H`	`2.0970`	`2646.95000000`
`Syn20M03M`	`2.9490`	`2646.95000000`
`Syn20M04H`	`2.9870`	`3532.74000000`
`Syn20M04M`	`9.0510`	`3532.74000000`
`Syn20M`	`0.4590`	`924.26300000`
`Syn40H`	`1.2300`	`67.71340000`
`Syn40M02H`	`1.5640`	`388.77300000`
`Syn40M02M`	`9.7590`	`388.77200000`
`Syn40M03H`	`15.4660`	`395.14900000`
`Syn40M03M`	`3068.0700`	`395.14800000`
`Syn40M04H`	`15.3270`	`901.75200000`
`Syn40M04M`	`5722.4800`	`901.75100000`
`Syn40M`	`1.2650`	`67.71330000`
`sssd-8-4-3`	`1.3250`	`197181.00000000`
`sssd-10-4-3`	`1.6560`	`152710.00000000`
`sssd-12-5-3`	`42.0410`	`261143.00000000`
`sssd-15-6-3`	`61.3160`	`440711.00000000`
`sssd-16-8-3`	`761.9770`	`615763.00000000`
`sssd-18-8-3`	`841.6700`	`524063.00000000`
`uflquad-15-60`	`55.1940`	`1063.19000000`
`uflquad-15-80`	`124.7640`	`1217.99000000`
`uflquad-20-40`	`58.3210`	`860.96100000`
`uflquad-25-25`	`28.7690`	`673.69700000`
`uflquad-25-30`	`26.8910`	`669.84000000`
`uflquad-25-40`	`107.6530`	`828.16500000`
`nd-10`	`42.5860`	`52.46110000`
`nd-12`	`183.5050`	`56.66960000`
`fo7_2`	`99.3470`	`17.74930000`
`fo7_ar2_1`	`401.3470`	`24.83980000`
`fo7_ar25_1`	`220.1330`	`23.09360000`
`fo7_ar3_1`	`192.7660`	`22.51750000`
`fo7_ar4_1`	`259.7450`	`20.72980000`
`fo7_ar5_1`	`55.1540`	`17.74930000`
`fo7`	`1100.1200`	`20.72980000`
`fo8_ar2_1`	`2301.8800`	`30.34060000`
`fo8_ar25_1`	`3448.7200`	`28.04520000`
`fo8_ar3_1`	`1526.5000`	`23.91010000`
`fo8_ar4_1`	`802.0580`	`22.38190000`
`fo8_ar5_1`	`748.5300`	`22.38190000`
`fo8`	`3903.7200`	`22.38190000`
`fo9_ar3_1`	`4415.4200`	`24.81550000`
`fo9_ar4_1`	`2857.2600`	`23.46430000`
`fo9_ar5_1`	`5114.2900`	`23.46430000`
`m3`	`0.4080`	`37.80000000`
`m6`	`17.3510`	`82.25690000`
`m7_ar2_1`	`79.1760`	`190.23500000`
`m7_ar25_1`	`20.5300`	`143.58500000`
`m7_ar3_1`	`84.1390`	`143.58500000`
`m7_ar4_1`	`134.7340`	`106.75700000`
`m7_ar5_1`	`173.0310`	`106.46000000`
`m7`	`57.0230`	`106.75700000`
`netmod_dol2`	`337.4090`	`-0.56000800`
`netmod_kar1`	`29.9370`	`-0.41979000`
`netmod_kar2`	`29.9190`	`-0.41979000`
`no7_ar2_1`	`204.2040`	`107.81500000`
`no7_ar25_1`	`613.4560`	`107.81500000`
`no7_ar3_1`	`1017.7600`	`107.81500000`
`no7_ar4_1`	`879.8670`	`98.51840000`
`no7_ar5_1`	`373.7740`	`90.62270000`
`o7_2`	`1688.1700`	`116.94600000`
`o7_ar2_1`	`596.8440`	`140.41200000`
`o7_ar25_1`	`1431.4000`	`140.41200000`
`o7_ar3_1`	`1752.8300`	`137.93200000`
`o7_ar4_1`	`2517.3300`	`131.65300000`
`o7_ar5_1`	`1246.5100`	`116.94600000`
`o7`	`4029.9400`	`131.65300000`
`tls2`	`11.3150`	`5.30000000`
`tls4`	`1252.1500`	`8.30000000`

BONMIN_bonmin-hyb: feasible:

Modelname	Time (BONMIN_bonmin-hyb)	Obj (BONMIN_bonmin-hyb)
`FLay06H`	`7283.5900`	`66.93280000`
`FLay06M`	`7285.6700`	`66.93280000`
`RSyn0820M03M`	`7324.1500`	`2028.81000000`
`RSyn0820M04M`	`7561.4700`	`2366.93000000`
`RSyn0840M02M`	`7264.9200`	`730.18800000`
`RSyn0840M03M`	`7250.8900`	`2713.87000000`
`RSyn0840M04M`	`7526.7300`	`2502.36000000`
`SLay10H`	`7222.4000`	`129810.00000000`
`sssd-20-9-3`	`7256.2400`	`478366.00000000`
`sssd-22-8-3`	`7409.5600`	`596029.00000000`
`uflquad-20-50`	`7234.9200`	`375.91900000`
`nd-13`	`7221.9700`	`63.00510000`
`nd-15`	`7221.2500`	`82.02720000`
`nd-16`	`7221.4800`	`98.76090000`
`fo9_ar2_1`	`7262.2100`	`34.43130000`
`fo9_ar25_1`	`7280.0400`	`32.37500000`
`fo9`	`7273.4200`	`23.46430000`
`netmod_dol1`	`7225.1600`	`-0.55782300`
`o8_ar4_1`	`7344.6000`	`253.21900000`
`o9_ar4_1`	`7273.9800`	`277.69800000`
`tls5`	`7236.9600`	`11.00000000`
`tls6`	`7234.6800`	`17.00000000`

BONMIN_bonmin-hyb: fail:

Modelname	Time (BONMIN_bonmin-hyb)	Status (BONMIN_bonmin-hyb)
`RSyn0840M03H`	`--`	`mstat(13)sstat( 1)`
`Syn10M`	`--`	`mstat(13)sstat( 1)`
`tls12`	`--`	`mstat(14)sstat( 3)`
`tls7`	`--`	`mstat(14)sstat( 3)`

ALPHAECP_alphaecp-minlpconvex2: all -- BONMIN_bonmin-hyb: 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 (7561.47 seconds). The shift is 10s.

Modelname	Time (ALPHAECP_alphaecp-minlpconvex2)	Time (BONMIN_bonmin-hyb)	Ratio (ALPHAECP_alphaecp-minlpconvex2/ BONMIN_bonmin-hyb)	Obj (ALPHAECP_alphaecp-minlpconvex2)	Obj (BONMIN_bonmin-hyb)	ObjEst (ALPHAECP_alphaecp-minlpconvex2)	ObjEst (BONMIN_bonmin-hyb)	Gap (ALPHAECP_alphaecp-minlpconvex2)	Gap (BONMIN_bonmin-hyb)
`BatchS101006M`	`46.3370`	`25.8700`	`1.791`	`769440.00000000`	`769440.00000000`	`769440.00000000`	`769440.00000000`	`0.0000`	`0.0000`
`BatchS121208M`	`887.7220`	`46.4590`	`19.108`	`1241130.00000000`	`1241130.00000000`	`1241130.00000000`	`1241130.00000000`	`0.0000`	`0.0000`
`BatchS151208M`	`1088.1000`	`60.0490`	`18.120`	`1543470.00000000`	`1543470.00000000`	`1543470.00000000`	`1543470.00000000`	`0.0000`	`0.0000`
`BatchS201210M`	`127.0950`	`79.8440`	`1.592`	`2295350.00000000`	`2295350.00000000`	`2295350.00000000`	`2295350.00000000`	`0.0000`	`0.0000`
`clay0203h`	`3.0090`	`4.1880`	`0.718`	`41573.30000000`	`41573.30000000`	`41573.30000000`	`41573.30000000`	`0.0000`	`0.0000`
`clay0203m`	`2.0080`	`2.6970`	`0.745`	`41573.30000000`	`41573.30000000`	`41573.30000000`	`41573.30000000`	`0.0000`	`0.0000`
`clay0204h`	`11.3170`	`11.4310`	`0.990`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`0.0000`	`0.0000`
`clay0204m`	`6.1480`	`4.4130`	`1.393`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`0.0000`	`0.0000`
`clay0205h`	`38.3660`	`110.8940`	`0.346`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0205m`	`22.6960`	`16.6980`	`1.359`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0303h`	`3.9740`	`9.6990`	`0.410`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`0.0000`	`0.0000`
`clay0303m`	`3.0000`	`3.8930`	`0.771`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`0.0000`	`0.0000`
`clay0304h`	`16.5760`	`493.1600`	`0.034`	`40262.40000000`	`40262.40000000`	`40262.40000000`	`40262.40000000`	`0.0000`	`0.0000`
`clay0304m`	`7.2770`	`56.5330`	`0.129`	`40262.40000000`	`40262.40000000`	`40262.40000000`	`40262.40000000`	`0.0000`	`0.0000`
`clay0305h`	`43.1620`	`171.6710`	`0.251`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0305m`	`24.5400`	`11.6780`	`2.101`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`FLay03H`	`8.6170`	`1.9520`	`4.414`	`48.98980000`	`48.98980000`	`48.98980000`	`48.98980000`	`0.0000`	`0.0000`
`FLay03M`	`3.3270`	`1.0510`	`3.166`	`48.98980000`	`48.98980000`	`48.98980000`	`48.98980000`	`0.0000`	`0.0000`
`FLay04H`	`147.2640`	`18.5320`	`7.946`	`54.40590000`	`54.40590000`	`54.40590000`	`54.40590000`	`0.0000`	`0.0000`
`FLay04M`	`118.6470`	`12.1130`	`9.795`	`54.40590000`	`54.40590000`	`54.40590000`	`54.40590000`	`0.0000`	`0.0000`
`FLay05H`	`7202.2400`	`315.7480`	`22.810`	`64.49810000`	`64.49810000`	`59.95990000`	`64.49810000`	`0.0757`	`0.0000`
`FLay05M`	`7202.2100`	`75.7710`	`95.052`	`64.49810000`	`64.49810000`	`54.40540000`	`64.49810000`	`0.1855`	`0.0000`
`FLay06H`	`7202.2200`	`7283.5900`	`0.989`	`66.93280000`	`66.93280000`	`65.70550000`	`60.84320000`	`0.0187`	`0.1001`
`FLay06M`	`7202.3700`	`7285.6700`	`0.989`	`66.93280000`	`66.93280000`	`65.28080000`	`63.91560000`	`0.0253`	`0.0472`
`RSyn0810H (max)`	`0.6630`	`1.1150`	`0.595`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`0.0000`	`0.0000`
`RSyn0810M02H (max)`	`6.3970`	`4.0870`	`1.565`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`0.0000`	`0.0000`
`RSyn0810M02M (max)`	`29.5920`	`83.8960`	`0.353`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`0.0000`	`0.0000`
`RSyn0810M03H (max)`	`11.5210`	`10.8450`	`1.062`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`0.0000`	`0.0000`
`RSyn0810M03M (max)`	`35.6170`	`1045.3900`	`0.034`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`0.0000`	`0.0000`
`RSyn0810M04H (max)`	`16.9230`	`7.6860`	`2.202`	`6581.94000000`	`6581.94000000`	`6581.94000000`	`6581.94000000`	`0.0000`	`0.0000`
`RSyn0810M04M (max)`	`32.5020`	`1295.9100`	`0.025`	`6581.93000000`	`6581.93000000`	`6581.94000000`	`6581.93000000`	`0.0000`	`0.0000`
`RSyn0810M (max)`	`1.1460`	`1.4900`	`0.769`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`0.0000`	`0.0000`
`RSyn0820H (max)`	`1.3090`	`2.5190`	`0.520`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`0.0000`	`0.0000`
`RSyn0820M02H (max)`	`4.4300`	`4.1210`	`1.075`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`0.0000`	`0.0000`
`RSyn0820M02M (max)`	`28.0010`	`544.8660`	`0.051`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`0.0000`	`0.0000`
`RSyn0820M03H (max)`	`7.7190`	`12.2690`	`0.629`	`2028.81000000`	`2028.81000000`	`2028.81000000`	`2028.81000000`	`0.0000`	`0.0000`
`RSyn0820M03M (max)`	`23.0700`	`7324.1500`	`0.003`	`2028.81000000`	`2028.81000000`	`2028.81000000`	`2313.16000000`	`0.0000`	`0.1229`
`RSyn0820M04H (max)`	`11.6270`	`12.3980`	`0.938`	`2450.77000000`	`2450.77000000`	`2450.77000000`	`2450.77000000`	`0.0000`	`0.0000`
`RSyn0820M04M (max)`	`26.0200`	`7561.4700`	`0.003`	`2450.77000000`	`2366.93000000`	`2450.77000000`	`3451.99000000`	`0.0000`	`0.3143`
`RSyn0820M (max)`	`2.3010`	`8.0470`	`0.286`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`0.0000`	`0.0000`
`RSyn0840H (max)`	`2.4300`	`1.4330`	`1.696`	`325.55500000`	`325.55500000`	`325.55500000`	`325.55500000`	`0.0000`	`0.0000`
`RSyn0840M02H (max)`	`13.8590`	`3.3540`	`4.132`	`734.98400000`	`734.98400000`	`734.98500000`	`734.98400000`	`0.0000`	`0.0000`
`RSyn0840M02M (max)`	`29.1150`	`7264.9200`	`0.004`	`734.98300000`	`730.18800000`	`734.98500000`	`822.26300000`	`0.0000`	`0.1120`
`RSyn0840M03H (max)`	`30.3690`	`11.3200`	---	`2742.65000000`	`mstat(13) sstat(1)`	`2742.65000000`	---	`0.0000`	`---`
`RSyn0840M03M (max)`	`50.1770`	`7250.8900`	`0.007`	`2742.65000000`	`2713.87000000`	`2742.65000000`	`3241.80000000`	`0.0000`	`0.1629`
`RSyn0840M04H (max)`	`77.1670`	`21.5470`	`3.581`	`2564.50000000`	`2564.50000000`	`2564.50000000`	`2564.50000000`	`0.0000`	`0.0000`
`RSyn0840M04M (max)`	`543.7590`	`7526.7300`	`0.072`	`2564.50000000`	`2502.36000000`	`2564.50000000`	`3849.60000000`	`0.0000`	`0.3500`
`RSyn0840M (max)`	`2.5790`	`16.7770`	`0.154`	`325.55500000`	`325.55500000`	`325.55500000`	`325.55500000`	`0.0000`	`0.0000`
`SLay05H`	`118.8330`	`8.4460`	`14.070`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`0.0000`	`0.0000`
`SLay05M`	`77.8080`	`1.2310`	`63.207`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`0.0000`	`0.0000`
`SLay06H`	`244.1010`	`25.8010`	`9.461`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`0.0000`	`0.0000`
`SLay06M`	`157.3150`	`3.0400`	`51.748`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`0.0000`	`0.0000`
`SLay07H`	`746.2320`	`89.7690`	`8.313`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`0.0000`	`0.0000`
`SLay07M`	`431.6340`	`5.1260`	`84.205`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`0.0000`	`0.0000`
`SLay08H`	`1579.8000`	`231.4060`	`6.827`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`0.0000`	`0.0000`
`SLay08M`	`821.5290`	`14.1080`	`58.231`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`0.0000`	`0.0000`
`SLay09H`	`7202.2300`	`3633.1000`	`1.982`	`107983.00000000`	`107806.00000000`	`98642.60000000`	`107806.00000000`	`0.0947`	`0.0000`
`SLay09M`	`2096.7000`	`42.7860`	`49.004`	`107806.00000000`	`107806.00000000`	`107806.00000000`	`107806.00000000`	`0.0000`	`0.0000`
`SLay10H`	`7202.0600`	`7222.4000`	`0.997`	`129876.00000000`	`129810.00000000`	`118969.00000000`	`120848.00000000`	`0.0917`	`0.0742`
`SLay10M`	`7202.2800`	`483.9660`	`14.882`	`129796.00000000`	`129580.00000000`	`112365.00000000`	`129580.00000000`	`0.1551`	`0.0000`
`Syn10H (max)`	`0.0950`	`0.6440`	`0.148`	`1267.35000000`	`1267.35000000`	`1267.35000000`	`1267.35000000`	`0.0000`	`0.0000`
`Syn10M02H (max)`	`1.0430`	`0.8510`	`1.226`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`0.0000`	`0.0000`
`Syn10M02M (max)`	`0.7600`	`0.5760`	`1.319`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`0.0000`	`0.0000`
`Syn10M03H (max)`	`1.1770`	`1.0360`	`1.136`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`0.0000`	`0.0000`
`Syn10M03M (max)`	`1.0970`	`0.6150`	`1.784`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`0.0000`	`0.0000`
`Syn10M04H (max)`	`2.1200`	`1.0810`	`1.961`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`0.0000`	`0.0000`
`Syn10M04M (max)`	`1.9320`	`1.0700`	`1.806`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`0.0000`	`0.0000`
`Syn10M (max)`	`0.1580`	`0.1470`	---	`1267.35000000`	`mstat(13) sstat(1)`	`1267.35000000`	---	`0.0000`	`---`
`Syn20H (max)`	`0.8670`	`0.9380`	`0.924`	`924.26300000`	`924.26300000`	`924.26500000`	`924.26300000`	`0.0000`	`0.0000`
`Syn20M02H (max)`	`1.2090`	`1.1640`	`1.039`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`0.0000`	`0.0000`
`Syn20M02M (max)`	`0.9900`	`1.3020`	`0.760`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`0.0000`	`0.0000`
`Syn20M03H (max)`	`2.2050`	`2.0970`	`1.052`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`0.0000`	`0.0000`
`Syn20M03M (max)`	`1.5200`	`2.9490`	`0.515`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`0.0000`	`0.0000`
`Syn20M04H (max)`	`3.0560`	`2.9870`	`1.023`	`3532.74000000`	`3532.74000000`	`3532.75000000`	`3532.74000000`	`0.0000`	`0.0000`
`Syn20M04M (max)`	`2.5290`	`9.0510`	`0.279`	`3532.74000000`	`3532.74000000`	`3532.74000000`	`3532.74000000`	`0.0000`	`0.0000`
`Syn20M (max)`	`1.1480`	`0.4590`	`2.501`	`924.26300000`	`924.26300000`	`924.26400000`	`924.26300000`	`0.0000`	`0.0000`
`Syn40H (max)`	`2.2640`	`1.2300`	`1.841`	`67.71340000`	`67.71340000`	`67.71360000`	`67.71340000`	`0.0000`	`0.0000`
`Syn40M02H (max)`	`4.9100`	`1.5640`	`3.139`	`388.77300000`	`388.77300000`	`388.77400000`	`388.77300000`	`0.0000`	`0.0000`
`Syn40M02M (max)`	`4.3890`	`9.7590`	`0.450`	`388.77200000`	`388.77200000`	`388.77300000`	`388.77200000`	`0.0000`	`0.0000`
`Syn40M03H (max)`	`10.8970`	`15.4660`	`0.705`	`395.14900000`	`395.14900000`	`395.15000000`	`395.14900000`	`0.0000`	`0.0000`
`Syn40M03M (max)`	`10.4170`	`3068.0700`	`0.003`	`395.14800000`	`395.14800000`	`395.14900000`	`395.14800000`	`0.0000`	`0.0000`
`Syn40M04H (max)`	`21.2340`	`15.3270`	`1.385`	`901.75200000`	`901.75200000`	`901.75500000`	`901.75200000`	`0.0000`	`0.0000`
`Syn40M04M (max)`	`20.9420`	`5722.4800`	`0.004`	`901.75100000`	`901.75100000`	`901.75400000`	`901.75100000`	`0.0000`	`0.0000`
`Syn40M (max)`	`2.2290`	`1.2650`	`1.762`	`67.71330000`	`67.71330000`	`67.71350000`	`67.71330000`	`0.0000`	`0.0000`
`sssd-8-4-3`	`3.1510`	`1.3250`	`2.378`	`197181.00000000`	`197181.00000000`	`197181.00000000`	`197181.00000000`	`0.0000`	`0.0000`
`sssd-10-4-3`	`6.8130`	`1.6560`	`4.114`	`152710.00000000`	`152710.00000000`	`152710.00000000`	`152710.00000000`	`0.0000`	`0.0000`
`sssd-12-5-3`	`24.2350`	`42.0410`	`0.576`	`261143.00000000`	`261143.00000000`	`261142.00000000`	`261143.00000000`	`0.0000`	`0.0000`
`sssd-15-6-3`	`118.7660`	`61.3160`	`1.937`	`440711.00000000`	`440711.00000000`	`440711.00000000`	`440711.00000000`	`0.0000`	`0.0000`
`sssd-16-8-3`	`3710.8100`	`761.9770`	`4.870`	`615763.00000000`	`615763.00000000`	`615763.00000000`	`615763.00000000`	`0.0000`	`0.0000`
`sssd-18-8-3`	`5649.0100`	`841.6700`	`6.712`	`524063.00000000`	`524063.00000000`	`524063.00000000`	`524063.00000000`	`0.0000`	`0.0000`
`sssd-20-9-3`	`7202.5300`	`7256.2400`	`0.993`	`489487.00000000`	`478366.00000000`	`467306.00000000`	`477119.00000000`	`0.0475`	`0.0026`
`sssd-22-8-3`	`7202.7000`	`7409.5600`	`0.972`	`602410.00000000`	`596029.00000000`	`585703.00000000`	`595713.00000000`	`0.0285`	`0.0005`
`uflquad-15-60`	`7202.2100`	`55.1940`	`130.489`	`1063.19000000`	`1063.19000000`	`150.03600000`	`1063.19000000`	`6.0862`	`0.0000`
`uflquad-15-80`	`7202.2300`	`124.7640`	`57.727`	`1217.99000000`	`1217.99000000`	`-56.14740000`	`1217.99000000`	`22.6927`	`0.0000`
`uflquad-20-40`	`7202.1600`	`58.3210`	`123.492`	`860.96100000`	`860.96100000`	`111.42300000`	`860.96100000`	`6.7270`	`0.0000`
`uflquad-20-50`	`7202.1300`	`7234.9200`	`0.995`	`394.98200000`	`375.91900000`	`-483.34100000`	`314.68100000`	`1.8172`	`0.1946`
`uflquad-25-25`	`7202.1900`	`28.7690`	`250.346`	`673.69700000`	`673.69700000`	`229.50000000`	`673.69700000`	`1.9355`	`0.0000`
`uflquad-25-30`	`7202.1900`	`26.8910`	`267.829`	`669.84000000`	`669.84000000`	`22.43660000`	`669.84000000`	`28.8548`	`0.0000`
`uflquad-25-40`	`7202.2000`	`107.6530`	`66.902`	`828.16500000`	`828.16500000`	`193.96600000`	`828.16500000`	`3.2696`	`0.0000`
`nd-10`	`5943.3000`	`42.5860`	`139.560`	`52.46110000`	`52.46110000`	`52.46110000`	`52.46110000`	`0.0000`	`0.0000`
`nd-12`	`684.6800`	`183.5050`	`3.731`	`56.66960000`	`56.66960000`	`56.66960000`	`56.66960000`	`0.0000`	`0.0000`
`nd-13`	`7202.3300`	`7221.9700`	`0.997`	`63.00510000`	`63.00510000`	`53.17870000`	`58.87240000`	`0.1848`	`0.0702`
`nd-15`	`7202.2600`	`7221.2500`	---	`mstat(13) sstat(1)`	`82.02720000`	---	`68.60060000`	`---`	`0.1957`
`nd-16`	`7202.3300`	`7221.4800`	`0.997`	`98.19780000`	`98.76090000`	`89.58430000`	`92.81670000`	`0.0961`	`0.0640`
`fo7_2`	`16.2510`	`99.3470`	`0.164`	`17.74930000`	`17.74930000`	`17.74930000`	`17.74930000`	`0.0000`	`0.0000`
`fo7_ar2_1`	`71.6920`	`401.3470`	`0.179`	`24.83980000`	`24.83980000`	`24.83980000`	`24.83980000`	`0.0000`	`0.0000`
`fo7_ar25_1`	`68.7200`	`220.1330`	`0.312`	`23.09360000`	`23.09360000`	`23.09360000`	`23.09360000`	`0.0000`	`0.0000`
`fo7_ar3_1`	`143.0130`	`192.7660`	`0.742`	`22.51750000`	`22.51750000`	`22.51750000`	`22.51750000`	`0.0000`	`0.0000`
`fo7_ar4_1`	`129.5990`	`259.7450`	`0.499`	`20.72980000`	`20.72980000`	`20.72980000`	`20.72980000`	`0.0000`	`0.0000`
`fo7_ar5_1`	`26.7280`	`55.1540`	`0.485`	`17.74930000`	`17.74930000`	`17.74930000`	`17.74930000`	`0.0000`	`0.0000`
`fo7`	`158.3240`	`1100.1200`	`0.144`	`20.72980000`	`20.72980000`	`20.72980000`	`20.72980000`	`0.0000`	`0.0000`
`fo8_ar2_1`	`416.7040`	`2301.8800`	`0.181`	`30.34060000`	`30.34060000`	`30.34060000`	`30.34060000`	`0.0000`	`0.0000`
`fo8_ar25_1`	`432.2920`	`3448.7200`	`0.125`	`28.04520000`	`28.04520000`	`28.04520000`	`28.04520000`	`0.0000`	`0.0000`
`fo8_ar3_1`	`175.8330`	`1526.5000`	`0.115`	`23.91010000`	`23.91010000`	`23.91010000`	`23.91010000`	`0.0000`	`0.0000`
`fo8_ar4_1`	`130.3020`	`802.0580`	`0.162`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo8_ar5_1`	`469.2460`	`748.5300`	`0.627`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo8`	`532.1980`	`3903.7200`	`0.136`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo9_ar2_1`	`1938.4500`	`7262.2100`	`0.267`	`32.62500000`	`34.43130000`	`32.62500000`	`27.63070000`	`0.0000`	`0.2461`
`fo9_ar25_1`	`7202.1900`	`7280.0400`	`0.989`	`32.18640000`	`32.37500000`	`31.30790000`	`25.73620000`	`0.0281`	`0.2580`
`fo9_ar3_1`	`1033.5200`	`4415.4200`	`0.234`	`24.81550000`	`24.81550000`	`24.81550000`	`24.81550000`	`0.0000`	`0.0000`
`fo9_ar4_1`	`1274.7400`	`2857.2600`	`0.446`	`23.46430000`	`23.46430000`	`23.46430000`	`23.46430000`	`0.0000`	`0.0000`
`fo9_ar5_1`	`2653.3400`	`5114.2900`	`0.519`	`23.46430000`	`23.46430000`	`23.46430000`	`23.46430000`	`0.0000`	`0.0000`
`fo9`	`3049.9300`	`7273.4200`	`0.419`	`23.46430000`	`23.46430000`	`23.46430000`	`16.44880000`	`0.0000`	`0.4265`
`m3`	`0.4270`	`0.4080`	`1.047`	`37.80000000`	`37.80000000`	`37.80000000`	`37.80000000`	`0.0000`	`0.0000`
`m6`	`1.4800`	`17.3510`	`0.085`	`82.25690000`	`82.25690000`	`82.25690000`	`82.25690000`	`0.0000`	`0.0000`
`m7_ar2_1`	`6.8390`	`79.1760`	`0.086`	`190.23500000`	`190.23500000`	`190.23500000`	`190.23500000`	`0.0000`	`0.0000`
`m7_ar25_1`	`1.0600`	`20.5300`	`0.052`	`143.58500000`	`143.58500000`	`143.58500000`	`143.58500000`	`0.0000`	`0.0000`
`m7_ar3_1`	`10.8580`	`84.1390`	`0.129`	`143.58500000`	`143.58500000`	`143.58500000`	`143.58500000`	`0.0000`	`0.0000`
`m7_ar4_1`	`0.9760`	`134.7340`	`0.007`	`106.75700000`	`106.75700000`	`106.75700000`	`106.75700000`	`0.0000`	`0.0000`
`m7_ar5_1`	`3.7390`	`173.0310`	`0.022`	`106.46000000`	`106.46000000`	`106.46000000`	`106.46000000`	`0.0000`	`0.0000`
`m7`	`2.8200`	`57.0230`	`0.049`	`106.75700000`	`106.75700000`	`106.75700000`	`106.75700000`	`0.0000`	`0.0000`
`netmod_dol1`	`7202.1700`	`7225.1600`	`0.997`	`-0.55976000`	`-0.55782300`	`-0.64218600`	`-0.67242900`	`0.1284`	`0.1704`
`netmod_dol2`	`408.5090`	`337.4090`	`1.211`	`-0.56000800`	`-0.56000800`	`-0.56000800`	`-0.56000800`	`0.0000`	`0.0000`
`netmod_kar1`	`81.9920`	`29.9370`	`2.739`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`0.0000`	`0.0000`
`netmod_kar2`	`82.5560`	`29.9190`	`2.759`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`0.0000`	`0.0000`
`no7_ar2_1`	`131.1430`	`204.2040`	`0.642`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar25_1`	`221.2130`	`613.4560`	`0.361`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar3_1`	`361.9430`	`1017.7600`	`0.356`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar4_1`	`308.8270`	`879.8670`	`0.351`	`98.51840000`	`98.51840000`	`98.51840000`	`98.51840000`	`0.0000`	`0.0000`
`no7_ar5_1`	`197.2660`	`373.7740`	`0.528`	`90.62270000`	`90.62270000`	`90.62270000`	`90.62270000`	`0.0000`	`0.0000`
`o7_2`	`1225.8300`	`1688.1700`	`0.726`	`116.94600000`	`116.94600000`	`116.94600000`	`116.94600000`	`0.0000`	`0.0000`
`o7_ar2_1`	`164.5370`	`596.8440`	`0.276`	`140.41200000`	`140.41200000`	`140.41200000`	`140.41200000`	`0.0000`	`0.0000`
`o7_ar25_1`	`876.7070`	`1431.4000`	`0.612`	`140.41200000`	`140.41200000`	`140.41200000`	`140.41200000`	`0.0000`	`0.0000`
`o7_ar3_1`	`689.1960`	`1752.8300`	`0.393`	`137.93200000`	`137.93200000`	`137.93200000`	`137.93200000`	`0.0000`	`0.0000`
`o7_ar4_1`	`4416.5100`	`2517.3300`	`1.754`	`131.65300000`	`131.65300000`	`131.65300000`	`131.65300000`	`0.0000`	`0.0000`
`o7_ar5_1`	`645.0260`	`1246.5100`	`0.517`	`116.94600000`	`116.94600000`	`116.94600000`	`116.94600000`	`0.0000`	`0.0000`
`o7`	`7202.2300`	`4029.9400`	`1.787`	`131.65300000`	`131.65300000`	`97.11390000`	`131.65300000`	`0.3557`	`0.0000`
`o8_ar4_1`	`7202.4500`	`7344.6000`	`0.981`	`243.07100000`	`253.21900000`	`174.30600000`	`199.13200000`	`0.3945`	`0.2716`
`o9_ar4_1`	`7202.6900`	`7273.9800`	`0.990`	`266.02800000`	`277.69800000`	`210.81100000`	`162.83000000`	`0.2619`	`0.7054`
`tls12`	`7202.3000`	`7263.2900`	---	`mstat(14) sstat(3)`	`mstat(14) sstat(3)`	---	---	---	---
`tls2`	`0.3030`	`11.3150`	`0.027`	`5.30000000`	`5.30000000`	`5.30000000`	`5.30000000`	`0.0000`	`0.0000`
`tls4`	`224.4940`	`1252.1500`	`0.179`	`8.30000000`	`8.30000000`	`8.30000000`	`8.30000000`	`0.0000`	`0.0000`
`tls5`	`7202.2800`	`7236.9600`	`0.995`	`14.60000000`	`11.00000000`	`6.30000000`	`5.39990000`	`1.3175`	`1.0371`
`tls6`	`7202.2800`	`7234.6800`	`0.996`	`39.10000000`	`17.00000000`	`3.86909000`	`4.74878000`	`9.1057`	`2.5799`
`tls7`	`7202.3400`	`7255.9000`	---	`53.80000000`	`mstat(14) sstat(3)`	`1.34735000`	---	`38.9302`	`---`
Shifted Geometric Mean (Solved)	145.62	167.03
% Unsolved	18.06%	16.77%