Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 09/14/12 19:33:51 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 MYSCIP_assumeconvex is represented on the left (rows) and solver ALPHAECP_alphaecp-minlpconvex2 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_scip32.pav
Tracefile 2:	minlpconvex_alphaecp.pav
Solvers used :	MYSCIP_assumeconvex
	ALPHAECP_alphaecp-minlpconvex2
Modeltype(s)	`MINLP`

	ALPHAECP_alphaecp-minlpconvex2: optimal	ALPHAECP_alphaecp-minlpconvex2: locally optimal	ALPHAECP_alphaecp-minlpconvex2: feasible	ALPHAECP_alphaecp-minlpconvex2: infeasible	ALPHAECP_alphaecp-minlpconvex2: unbounded	ALPHAECP_alphaecp-minlpconvex2: fail	ALPHAECP_alphaecp-minlpconvex2: no data	total MYSCIP_assumeconvex
MYSCIP_assumeconvex: optimal	`122`	-	`14`	-	-	-	-	`136`
MYSCIP_assumeconvex: locally optimal	-	-	-	-	-	-	-	`-`
MYSCIP_assumeconvex: feasible	`4`	-	`10`	-	-	`1`	-	`15`
MYSCIP_assumeconvex: infeasible	-	-	-	-	-	-	-	`-`
MYSCIP_assumeconvex: unbounded	-	-	-	-	-	-	-	`-`
MYSCIP_assumeconvex: fail	`1`	-	`2`	-	-	`1`	-	`4`
MYSCIP_assumeconvex: no data	-	-	-	-	-	-	-	`-`
total ALPHAECP_alphaecp-minlpconvex2	`127`	`-`	`26`	`-`	`-`	`2`	`-`	`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.

MYSCIP_assumeconvex: optimal -- ALPHAECP_alphaecp-minlpconvex2: optimal

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ALPHAECP_alphaecp-minlpconvex2)	Obj (MYSCIP_assumeconvex)	Obj (ALPHAECP_alphaecp-minlpconvex2)
`BatchS101006M`	`21.7270`	`46.3370`	`0.469`	`769440.00000000`	`769440.00000000`
`BatchS121208M`	`30.9590`	`887.7220`	`0.035`	`1241130.00000000`	`1241130.00000000`
`BatchS151208M`	`225.7170`	`1088.1000`	`0.207`	`1543470.00000000`	`1543470.00000000`
`BatchS201210M`	`54.2590`	`127.0950`	`0.427`	`2295350.00000000`	`2295350.00000000`
`clay0203h`	`0.7740`	`3.0090`	`0.257`	`41572.80000000`	`41573.30000000`
`clay0203m`	`0.3100`	`2.0080`	`0.154`	`41572.90000000`	`41573.30000000`
`clay0204h`	`2.6050`	`11.3170`	`0.230`	`6545.00000000`	`6545.00000000`
`clay0204m`	`1.1560`	`6.1480`	`0.188`	`6545.00000000`	`6545.00000000`
`clay0205h`	`15.4340`	`38.3660`	`0.402`	`8092.50000000`	`8092.50000000`
`clay0205m`	`4.7990`	`22.6960`	`0.211`	`8092.50000000`	`8092.50000000`
`clay0303h`	`0.9120`	`3.9740`	`0.229`	`26668.30000000`	`26669.10000000`
`clay0303m`	`0.4360`	`3.0000`	`0.145`	`26669.10000000`	`26669.10000000`
`clay0304h`	`2.9040`	`16.5760`	`0.175`	`40262.30000000`	`40262.40000000`
`clay0304m`	`1.7420`	`7.2770`	`0.239`	`40262.20000000`	`40262.40000000`
`clay0305h`	`17.7480`	`43.1620`	`0.411`	`8092.50000000`	`8092.50000000`
`clay0305m`	`7.2880`	`24.5400`	`0.297`	`8092.50000000`	`8092.50000000`
`FLay03H`	`0.8930`	`8.6170`	`0.104`	`48.98980000`	`48.98980000`
`FLay03M`	`0.4800`	`3.3270`	`0.144`	`48.98980000`	`48.98980000`
`FLay04H`	`4.5470`	`147.2640`	`0.031`	`54.40590000`	`54.40590000`
`FLay04M`	`2.2240`	`118.6470`	`0.019`	`54.40590000`	`54.40590000`
`RSyn0810H`	`0.3500`	`0.6630`	`0.528`	`1721.45000000`	`1721.45000000`
`RSyn0810M02H`	`1.3990`	`6.3970`	`0.219`	`1741.39000000`	`1741.39000000`
`RSyn0810M02M`	`38.7710`	`29.5920`	`1.310`	`1741.39000000`	`1741.39000000`
`RSyn0810M03H`	`2.1380`	`11.5210`	`0.186`	`2722.45000000`	`2722.45000000`
`RSyn0810M03M`	`95.1980`	`35.6170`	`2.673`	`2722.45000000`	`2722.45000000`
`RSyn0810M04H`	`1.9950`	`16.9230`	`0.118`	`6581.94000000`	`6581.94000000`
`RSyn0810M04M`	`491.3120`	`32.5020`	`15.116`	`6581.93000000`	`6581.93000000`
`RSyn0810M`	`1.7480`	`1.1460`	`1.525`	`1721.45000000`	`1721.45000000`
`RSyn0820H`	`0.5400`	`1.3090`	`0.413`	`1150.30000000`	`1150.30000000`
`RSyn0820M02H`	`1.5070`	`4.4300`	`0.340`	`1092.09000000`	`1092.09000000`
`RSyn0820M02M`	`189.1830`	`28.0010`	`6.756`	`1092.09000000`	`1092.09000000`
`RSyn0820M03H`	`3.5940`	`7.7190`	`0.466`	`2028.81000000`	`2028.81000000`
`RSyn0820M03M`	`4043.5800`	`23.0700`	`175.274`	`2028.81000000`	`2028.81000000`
`RSyn0820M04H`	`2.8120`	`11.6270`	`0.242`	`2450.77000000`	`2450.77000000`
`RSyn0820M`	`31.5510`	`2.3010`	`13.712`	`1150.30000000`	`1150.30000000`
`RSyn0840H`	`0.8380`	`2.4300`	`0.345`	`325.55500000`	`325.55500000`
`RSyn0840M02H`	`1.3060`	`13.8590`	`0.094`	`734.98500000`	`734.98400000`
`RSyn0840M02M`	`984.6840`	`29.1150`	`33.821`	`734.98300000`	`734.98300000`
`RSyn0840M03H`	`3.0000`	`30.3690`	`0.099`	`2742.65000000`	`2742.65000000`
`RSyn0840M`	`1.7030`	`2.5790`	`0.660`	`325.55500000`	`325.55500000`
`SLay05H`	`4.2360`	`118.8330`	`0.036`	`22664.70000000`	`22664.70000000`
`SLay05M`	`0.8140`	`77.8080`	`0.010`	`22664.70000000`	`22664.70000000`
`SLay06H`	`5.9620`	`244.1010`	`0.024`	`32757.00000000`	`32757.00000000`
`SLay06M`	`3.4160`	`157.3150`	`0.022`	`32757.00000000`	`32757.00000000`
`SLay07H`	`111.8900`	`746.2320`	`0.150`	`64748.80000000`	`64748.80000000`
`SLay07M`	`5.1290`	`431.6340`	`0.012`	`64748.80000000`	`64748.80000000`
`SLay08H`	`30.9390`	`1579.8000`	`0.020`	`84960.20000000`	`84960.20000000`
`SLay08M`	`21.7900`	`821.5290`	`0.027`	`84960.20000000`	`84960.20000000`
`SLay09M`	`74.1690`	`2096.7000`	`0.035`	`107806.00000000`	`107806.00000000`
`Syn10H`	`0.3010`	`0.0950`	`3.168`	`1267.35000000`	`1267.35000000`
`Syn10M02H`	`0.3970`	`1.0430`	`0.381`	`2310.30000000`	`2310.30000000`
`Syn10M02M`	`0.9740`	`0.7600`	`1.282`	`2310.30000000`	`2310.30000000`
`Syn10M03H`	`0.4540`	`1.1770`	`0.386`	`3354.68000000`	`3354.68000000`
`Syn10M03M`	`1.7960`	`1.0970`	`1.637`	`3354.68000000`	`3354.68000000`
`Syn10M04H`	`0.4620`	`2.1200`	`0.218`	`4557.06000000`	`4557.06000000`
`Syn10M04M`	`2.7110`	`1.9320`	`1.403`	`4557.06000000`	`4557.06000000`
`Syn10M`	`0.1750`	`0.1580`	`1.108`	`1267.35000000`	`1267.35000000`
`Syn20H`	`0.3240`	`0.8670`	`0.374`	`924.26400000`	`924.26300000`
`Syn20M02H`	`0.4370`	`1.2090`	`0.361`	`1752.13000000`	`1752.13000000`
`Syn20M02M`	`2.0840`	`0.9900`	`2.105`	`1752.13000000`	`1752.13000000`
`Syn20M03H`	`0.4680`	`2.2050`	`0.212`	`2646.95000000`	`2646.95000000`
`Syn20M03M`	`8.3810`	`1.5200`	`5.514`	`2646.95000000`	`2646.95000000`
`Syn20M04H`	`0.8560`	`3.0560`	`0.280`	`3532.74000000`	`3532.74000000`
`Syn20M04M`	`17.5570`	`2.5290`	`6.942`	`3532.74000000`	`3532.74000000`
`Syn20M`	`1.1730`	`1.1480`	`1.022`	`924.26300000`	`924.26300000`
`Syn40H`	`0.3250`	`2.2640`	`0.144`	`67.71350000`	`67.71340000`
`Syn40M02H`	`1.0280`	`4.9100`	`0.209`	`388.77400000`	`388.77300000`
`Syn40M02M`	`94.3190`	`4.3890`	`21.490`	`388.77200000`	`388.77200000`
`Syn40M03H`	`2.3970`	`10.8970`	`0.220`	`395.15000000`	`395.14900000`
`Syn40M03M`	`1733.0000`	`10.4170`	`166.363`	`395.14800000`	`395.14800000`
`Syn40M04H`	`2.5930`	`21.2340`	`0.122`	`901.75200000`	`901.75200000`
`Syn40M`	`3.4460`	`2.2290`	`1.546`	`67.71330000`	`67.71330000`
`sssd-8-4-3`	`1.2110`	`3.1510`	`0.384`	`197181.00000000`	`197181.00000000`
`sssd-10-4-3`	`2.6580`	`6.8130`	`0.390`	`152710.00000000`	`152710.00000000`
`sssd-12-5-3`	`4.0020`	`24.2350`	`0.165`	`261143.00000000`	`261143.00000000`
`sssd-15-6-3`	`11.3280`	`118.7660`	`0.095`	`440711.00000000`	`440711.00000000`
`sssd-16-8-3`	`444.4330`	`3710.8100`	`0.120`	`615763.00000000`	`615763.00000000`
`sssd-18-8-3`	`542.1740`	`5649.0100`	`0.096`	`524063.00000000`	`524063.00000000`
`nd-10`	`45.5430`	`5943.3000`	`0.008`	`52.46110000`	`52.46110000`
`nd-12`	`72.8130`	`684.6800`	`0.106`	`56.66960000`	`56.66960000`
`fo7_2`	`63.4920`	`16.2510`	`3.907`	`17.74930000`	`17.74930000`
`fo7_ar2_1`	`32.3480`	`71.6920`	`0.451`	`24.83980000`	`24.83980000`
`fo7_ar25_1`	`22.1460`	`68.7200`	`0.322`	`23.09360000`	`23.09360000`
`fo7_ar3_1`	`26.0700`	`143.0130`	`0.182`	`22.51750000`	`22.51750000`
`fo7_ar4_1`	`44.5350`	`129.5990`	`0.344`	`20.72980000`	`20.72980000`
`fo7_ar5_1`	`13.2490`	`26.7280`	`0.496`	`17.74930000`	`17.74930000`
`fo7`	`128.7190`	`158.3240`	`0.813`	`20.72980000`	`20.72980000`
`fo8_ar2_1`	`225.8400`	`416.7040`	`0.542`	`30.34060000`	`30.34060000`
`fo8_ar25_1`	`168.2290`	`432.2920`	`0.389`	`28.04520000`	`28.04520000`
`fo8_ar3_1`	`107.9150`	`175.8330`	`0.614`	`23.91000000`	`23.91010000`
`fo8_ar4_1`	`128.2540`	`130.3020`	`0.984`	`22.38190000`	`22.38190000`
`fo8_ar5_1`	`90.1740`	`469.2460`	`0.192`	`22.38190000`	`22.38190000`
`fo8`	`377.7440`	`532.1980`	`0.710`	`22.38190000`	`22.38190000`
`fo9_ar2_1`	`1361.5800`	`1938.4500`	`0.702`	`32.62500000`	`32.62500000`
`fo9_ar3_1`	`80.7270`	`1033.5200`	`0.078`	`24.81550000`	`24.81550000`
`fo9_ar4_1`	`700.2040`	`1274.7400`	`0.549`	`23.46430000`	`23.46430000`
`fo9_ar5_1`	`913.2290`	`2653.3400`	`0.344`	`23.46430000`	`23.46430000`
`fo9`	`877.6090`	`3049.9300`	`0.288`	`23.46430000`	`23.46430000`
`m3`	`0.1630`	`0.4270`	`0.382`	`37.80000000`	`37.80000000`
`m6`	`1.5190`	`1.4800`	`1.026`	`82.25690000`	`82.25690000`
`m7_ar2_1`	`4.8210`	`6.8390`	`0.705`	`190.23500000`	`190.23500000`
`m7_ar25_1`	`1.8010`	`1.0600`	`1.699`	`143.58500000`	`143.58500000`
`m7_ar3_1`	`6.4840`	`10.8580`	`0.597`	`143.58500000`	`143.58500000`
`m7_ar4_1`	`1.1680`	`0.9760`	`1.197`	`106.75700000`	`106.75700000`
`m7_ar5_1`	`9.4960`	`3.7390`	`2.540`	`106.46000000`	`106.46000000`
`m7`	`9.2380`	`2.8200`	`3.276`	`106.75700000`	`106.75700000`
`netmod_dol2`	`38.4470`	`408.5090`	`0.094`	`-0.56000800`	`-0.56000800`
`netmod_kar1`	`3.8370`	`81.9920`	`0.047`	`-0.41979000`	`-0.41979000`
`netmod_kar2`	`3.8280`	`82.5560`	`0.046`	`-0.41979000`	`-0.41979000`
`no7_ar2_1`	`19.6950`	`131.1430`	`0.150`	`107.81500000`	`107.81500000`
`no7_ar25_1`	`53.3200`	`221.2130`	`0.241`	`107.81500000`	`107.81500000`
`no7_ar3_1`	`171.5720`	`361.9430`	`0.474`	`107.81500000`	`107.81500000`
`no7_ar4_1`	`101.1420`	`308.8270`	`0.328`	`98.51840000`	`98.51840000`
`no7_ar5_1`	`63.5460`	`197.2660`	`0.322`	`90.62270000`	`90.62270000`
`o7_2`	`1272.4600`	`1225.8300`	`1.038`	`116.94600000`	`116.94600000`
`o7_ar2_1`	`78.4490`	`164.5370`	`0.477`	`140.41200000`	`140.41200000`
`o7_ar25_1`	`465.1740`	`876.7070`	`0.531`	`140.41200000`	`140.41200000`
`o7_ar3_1`	`712.5000`	`689.1960`	`1.034`	`137.93200000`	`137.93200000`
`o7_ar4_1`	`1244.0700`	`4416.5100`	`0.282`	`131.65300000`	`131.65300000`
`o7_ar5_1`	`419.9260`	`645.0260`	`0.651`	`116.94600000`	`116.94600000`
`tls2`	`0.1810`	`0.3030`	`0.597`	`5.30000000`	`5.30000000`
`tls4`	`9.2560`	`224.4940`	`0.041`	`8.30000000`	`8.30000000`

MYSCIP_assumeconvex: optimal -- ALPHAECP_alphaecp-minlpconvex2: feasible

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ALPHAECP_alphaecp-minlpconvex2)	Obj (MYSCIP_assumeconvex)	Obj (ALPHAECP_alphaecp-minlpconvex2)
`FLay05H`	`232.2830`	`7202.2400`	`0.032`	`64.49810000`	`64.49810000`
`FLay05M`	`58.2750`	`7202.2100`	`0.008`	`64.49810000`	`64.49810000`
`FLay06M`	`2587.4000`	`7202.3700`	`0.359`	`66.93270000`	`66.93280000`
`SLay09H`	`986.2290`	`7202.2300`	`0.137`	`107806.00000000`	`107983.00000000`
`SLay10H`	`1748.7000`	`7202.0600`	`0.243`	`129580.00000000`	`129876.00000000`
`SLay10M`	`152.2020`	`7202.2800`	`0.021`	`129580.00000000`	`129796.00000000`
`sssd-22-8-3`	`6892.9700`	`7202.7000`	`0.957`	`595971.00000000`	`602410.00000000`
`uflquad-15-60`	`1530.3100`	`7202.2100`	`0.212`	`1063.19000000`	`1063.19000000`
`uflquad-20-40`	`284.2890`	`7202.1600`	`0.039`	`860.96000000`	`860.96100000`
`uflquad-25-25`	`14.3800`	`7202.1900`	`0.002`	`673.69700000`	`673.69700000`
`uflquad-25-30`	`18.9550`	`7202.1900`	`0.003`	`669.83900000`	`669.84000000`
`uflquad-25-40`	`292.6350`	`7202.2000`	`0.041`	`828.16400000`	`828.16500000`
`netmod_dol1`	`5276.9300`	`7202.1700`	`0.733`	`-0.56000800`	`-0.55976000`
`o7`	`1575.0800`	`7202.2300`	`0.219`	`131.65300000`	`131.65300000`

MYSCIP_assumeconvex: feasible -- ALPHAECP_alphaecp-minlpconvex2: optimal

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ALPHAECP_alphaecp-minlpconvex2)	Obj (MYSCIP_assumeconvex)	Obj (ALPHAECP_alphaecp-minlpconvex2)
`RSyn0820M04M`	`7431.8600`	`26.0200`	`285.621`	`2450.77000000`	`2450.77000000`
`RSyn0840M03M`	`7459.9500`	`50.1770`	`148.673`	`2740.99000000`	`2742.65000000`
`RSyn0840M04M`	`7314.8000`	`543.7590`	`13.452`	`2562.48000000`	`2564.50000000`
`Syn40M04M`	`7477.8100`	`20.9420`	`357.072`	`901.60200000`	`901.75100000`

MYSCIP_assumeconvex: feasible -- ALPHAECP_alphaecp-minlpconvex2: feasible

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ALPHAECP_alphaecp-minlpconvex2)	Obj (MYSCIP_assumeconvex)	Obj (ALPHAECP_alphaecp-minlpconvex2)
`FLay06H`	`7325.4000`	`7202.2200`	`1.017`	`66.93280000`	`66.93280000`
`sssd-20-9-3`	`7714.7200`	`7202.5300`	`1.071`	`478093.00000000`	`489487.00000000`
`uflquad-15-80`	`7220.6900`	`7202.2300`	`1.003`	`1249.90000000`	`1217.99000000`
`uflquad-20-50`	`7220.6600`	`7202.1300`	`1.003`	`392.95100000`	`394.98200000`
`fo9_ar25_1`	`7458.6500`	`7202.1900`	`1.036`	`32.18640000`	`32.18640000`
`o8_ar4_1`	`7423.9200`	`7202.4500`	`1.031`	`243.07100000`	`243.07100000`
`o9_ar4_1`	`7412.4000`	`7202.6900`	`1.029`	`236.13800000`	`266.02800000`
`tls5`	`7410.4800`	`7202.2800`	`1.029`	`10.40000000`	`14.60000000`
`tls6`	`7415.0500`	`7202.2800`	`1.030`	`15.30000000`	`39.10000000`
`tls7`	`7315.0100`	`7202.3400`	`1.016`	`15.80000000`	`53.80000000`

MYSCIP_assumeconvex: feasible -- ALPHAECP_alphaecp-minlpconvex2: fail

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ALPHAECP_alphaecp-minlpconvex2)	Obj (MYSCIP_assumeconvex)	Status (ALPHAECP_alphaecp-minlpconvex2)
`nd-15`	`7255.5800`	`7202.2600`	---	`80.46940000`	`mstat(13)sstat( 1)`

MYSCIP_assumeconvex: fail -- ALPHAECP_alphaecp-minlpconvex2: optimal

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ALPHAECP_alphaecp-minlpconvex2)	Status (MYSCIP_assumeconvex)	Obj (ALPHAECP_alphaecp-minlpconvex2)
`RSyn0840M04H`	`3.5960`	`77.1670`	---	`mstat(13)sstat( 1)`	`2564.50000000`

MYSCIP_assumeconvex: fail -- ALPHAECP_alphaecp-minlpconvex2: feasible

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ALPHAECP_alphaecp-minlpconvex2)	Status (MYSCIP_assumeconvex)	Obj (ALPHAECP_alphaecp-minlpconvex2)
`nd-13`	`3286.0400`	`7202.3300`	---	`mstat(13)sstat( 1)`	`63.00510000`
`nd-16`	`7246.9600`	`7202.3300`	---	`mstat(13)sstat( 1)`	`98.19780000`

MYSCIP_assumeconvex: fail -- ALPHAECP_alphaecp-minlpconvex2: fail

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ALPHAECP_alphaecp-minlpconvex2)	Status (MYSCIP_assumeconvex)	Status (ALPHAECP_alphaecp-minlpconvex2)
`tls12`	`7368.4500`	`7202.3000`	---	`mstat(14)sstat( 3)`	`mstat(14)sstat( 3)`

MYSCIP_assumeconvex: optimal:

Modelname	Time (MYSCIP_assumeconvex)	Obj (MYSCIP_assumeconvex)
`BatchS101006M`	`21.7270`	`769440.00000000`
`BatchS121208M`	`30.9590`	`1241130.00000000`
`BatchS151208M`	`225.7170`	`1543470.00000000`
`BatchS201210M`	`54.2590`	`2295350.00000000`
`clay0203h`	`0.7740`	`41572.80000000`
`clay0203m`	`0.3100`	`41572.90000000`
`clay0204h`	`2.6050`	`6545.00000000`
`clay0204m`	`1.1560`	`6545.00000000`
`clay0205h`	`15.4340`	`8092.50000000`
`clay0205m`	`4.7990`	`8092.50000000`
`clay0303h`	`0.9120`	`26668.30000000`
`clay0303m`	`0.4360`	`26669.10000000`
`clay0304h`	`2.9040`	`40262.30000000`
`clay0304m`	`1.7420`	`40262.20000000`
`clay0305h`	`17.7480`	`8092.50000000`
`clay0305m`	`7.2880`	`8092.50000000`
`FLay03H`	`0.8930`	`48.98980000`
`FLay03M`	`0.4800`	`48.98980000`
`FLay04H`	`4.5470`	`54.40590000`
`FLay04M`	`2.2240`	`54.40590000`
`FLay05H`	`232.2830`	`64.49810000`
`FLay05M`	`58.2750`	`64.49810000`
`FLay06M`	`2587.4000`	`66.93270000`
`RSyn0810H`	`0.3500`	`1721.45000000`
`RSyn0810M02H`	`1.3990`	`1741.39000000`
`RSyn0810M02M`	`38.7710`	`1741.39000000`
`RSyn0810M03H`	`2.1380`	`2722.45000000`
`RSyn0810M03M`	`95.1980`	`2722.45000000`
`RSyn0810M04H`	`1.9950`	`6581.94000000`
`RSyn0810M04M`	`491.3120`	`6581.93000000`
`RSyn0810M`	`1.7480`	`1721.45000000`
`RSyn0820H`	`0.5400`	`1150.30000000`
`RSyn0820M02H`	`1.5070`	`1092.09000000`
`RSyn0820M02M`	`189.1830`	`1092.09000000`
`RSyn0820M03H`	`3.5940`	`2028.81000000`
`RSyn0820M03M`	`4043.5800`	`2028.81000000`
`RSyn0820M04H`	`2.8120`	`2450.77000000`
`RSyn0820M`	`31.5510`	`1150.30000000`
`RSyn0840H`	`0.8380`	`325.55500000`
`RSyn0840M02H`	`1.3060`	`734.98500000`
`RSyn0840M02M`	`984.6840`	`734.98300000`
`RSyn0840M03H`	`3.0000`	`2742.65000000`
`RSyn0840M`	`1.7030`	`325.55500000`
`SLay05H`	`4.2360`	`22664.70000000`
`SLay05M`	`0.8140`	`22664.70000000`
`SLay06H`	`5.9620`	`32757.00000000`
`SLay06M`	`3.4160`	`32757.00000000`
`SLay07H`	`111.8900`	`64748.80000000`
`SLay07M`	`5.1290`	`64748.80000000`
`SLay08H`	`30.9390`	`84960.20000000`
`SLay08M`	`21.7900`	`84960.20000000`
`SLay09H`	`986.2290`	`107806.00000000`
`SLay09M`	`74.1690`	`107806.00000000`
`SLay10H`	`1748.7000`	`129580.00000000`
`SLay10M`	`152.2020`	`129580.00000000`
`Syn10H`	`0.3010`	`1267.35000000`
`Syn10M02H`	`0.3970`	`2310.30000000`
`Syn10M02M`	`0.9740`	`2310.30000000`
`Syn10M03H`	`0.4540`	`3354.68000000`
`Syn10M03M`	`1.7960`	`3354.68000000`
`Syn10M04H`	`0.4620`	`4557.06000000`
`Syn10M04M`	`2.7110`	`4557.06000000`
`Syn10M`	`0.1750`	`1267.35000000`
`Syn20H`	`0.3240`	`924.26400000`
`Syn20M02H`	`0.4370`	`1752.13000000`
`Syn20M02M`	`2.0840`	`1752.13000000`
`Syn20M03H`	`0.4680`	`2646.95000000`
`Syn20M03M`	`8.3810`	`2646.95000000`
`Syn20M04H`	`0.8560`	`3532.74000000`
`Syn20M04M`	`17.5570`	`3532.74000000`
`Syn20M`	`1.1730`	`924.26300000`
`Syn40H`	`0.3250`	`67.71350000`
`Syn40M02H`	`1.0280`	`388.77400000`
`Syn40M02M`	`94.3190`	`388.77200000`
`Syn40M03H`	`2.3970`	`395.15000000`
`Syn40M03M`	`1733.0000`	`395.14800000`
`Syn40M04H`	`2.5930`	`901.75200000`
`Syn40M`	`3.4460`	`67.71330000`
`sssd-8-4-3`	`1.2110`	`197181.00000000`
`sssd-10-4-3`	`2.6580`	`152710.00000000`
`sssd-12-5-3`	`4.0020`	`261143.00000000`
`sssd-15-6-3`	`11.3280`	`440711.00000000`
`sssd-16-8-3`	`444.4330`	`615763.00000000`
`sssd-18-8-3`	`542.1740`	`524063.00000000`
`sssd-22-8-3`	`6892.9700`	`595971.00000000`
`uflquad-15-60`	`1530.3100`	`1063.19000000`
`uflquad-20-40`	`284.2890`	`860.96000000`
`uflquad-25-25`	`14.3800`	`673.69700000`
`uflquad-25-30`	`18.9550`	`669.83900000`
`uflquad-25-40`	`292.6350`	`828.16400000`
`nd-10`	`45.5430`	`52.46110000`
`nd-12`	`72.8130`	`56.66960000`
`fo7_2`	`63.4920`	`17.74930000`
`fo7_ar2_1`	`32.3480`	`24.83980000`
`fo7_ar25_1`	`22.1460`	`23.09360000`
`fo7_ar3_1`	`26.0700`	`22.51750000`
`fo7_ar4_1`	`44.5350`	`20.72980000`
`fo7_ar5_1`	`13.2490`	`17.74930000`
`fo7`	`128.7190`	`20.72980000`
`fo8_ar2_1`	`225.8400`	`30.34060000`
`fo8_ar25_1`	`168.2290`	`28.04520000`
`fo8_ar3_1`	`107.9150`	`23.91000000`
`fo8_ar4_1`	`128.2540`	`22.38190000`
`fo8_ar5_1`	`90.1740`	`22.38190000`
`fo8`	`377.7440`	`22.38190000`
`fo9_ar2_1`	`1361.5800`	`32.62500000`
`fo9_ar3_1`	`80.7270`	`24.81550000`
`fo9_ar4_1`	`700.2040`	`23.46430000`
`fo9_ar5_1`	`913.2290`	`23.46430000`
`fo9`	`877.6090`	`23.46430000`
`m3`	`0.1630`	`37.80000000`
`m6`	`1.5190`	`82.25690000`
`m7_ar2_1`	`4.8210`	`190.23500000`
`m7_ar25_1`	`1.8010`	`143.58500000`
`m7_ar3_1`	`6.4840`	`143.58500000`
`m7_ar4_1`	`1.1680`	`106.75700000`
`m7_ar5_1`	`9.4960`	`106.46000000`
`m7`	`9.2380`	`106.75700000`
`netmod_dol1`	`5276.9300`	`-0.56000800`
`netmod_dol2`	`38.4470`	`-0.56000800`
`netmod_kar1`	`3.8370`	`-0.41979000`
`netmod_kar2`	`3.8280`	`-0.41979000`
`no7_ar2_1`	`19.6950`	`107.81500000`
`no7_ar25_1`	`53.3200`	`107.81500000`
`no7_ar3_1`	`171.5720`	`107.81500000`
`no7_ar4_1`	`101.1420`	`98.51840000`
`no7_ar5_1`	`63.5460`	`90.62270000`
`o7_2`	`1272.4600`	`116.94600000`
`o7_ar2_1`	`78.4490`	`140.41200000`
`o7_ar25_1`	`465.1740`	`140.41200000`
`o7_ar3_1`	`712.5000`	`137.93200000`
`o7_ar4_1`	`1244.0700`	`131.65300000`
`o7_ar5_1`	`419.9260`	`116.94600000`
`o7`	`1575.0800`	`131.65300000`
`tls2`	`0.1810`	`5.30000000`
`tls4`	`9.2560`	`8.30000000`

MYSCIP_assumeconvex: feasible:

Modelname	Time (MYSCIP_assumeconvex)	Obj (MYSCIP_assumeconvex)
`FLay06H`	`7325.4000`	`66.93280000`
`RSyn0820M04M`	`7431.8600`	`2450.77000000`
`RSyn0840M03M`	`7459.9500`	`2740.99000000`
`RSyn0840M04M`	`7314.8000`	`2562.48000000`
`Syn40M04M`	`7477.8100`	`901.60200000`
`sssd-20-9-3`	`7714.7200`	`478093.00000000`
`uflquad-15-80`	`7220.6900`	`1249.90000000`
`uflquad-20-50`	`7220.6600`	`392.95100000`
`nd-15`	`7255.5800`	`80.46940000`
`fo9_ar25_1`	`7458.6500`	`32.18640000`
`o8_ar4_1`	`7423.9200`	`243.07100000`
`o9_ar4_1`	`7412.4000`	`236.13800000`
`tls5`	`7410.4800`	`10.40000000`
`tls6`	`7415.0500`	`15.30000000`
`tls7`	`7315.0100`	`15.80000000`

MYSCIP_assumeconvex: fail:

Modelname	Time (MYSCIP_assumeconvex)	Status (MYSCIP_assumeconvex)
`RSyn0840M04H`	`--`	`mstat(13) sstat( 1)`
`nd-13`	`--`	`mstat(13) sstat( 1)`
`nd-16`	`--`	`mstat(13) sstat( 1)`
`tls12`	`--`	`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)`

MYSCIP_assumeconvex: all -- ALPHAECP_alphaecp-minlpconvex2: 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 (7714.72 seconds). The shift is 10s.

Modelname	Time (MYSCIP_assumeconvex)	Time (ALPHAECP_alphaecp-minlpconvex2)	Ratio (MYSCIP_assumeconvex/ ALPHAECP_alphaecp-minlpconvex2)	Obj (MYSCIP_assumeconvex)	Obj (ALPHAECP_alphaecp-minlpconvex2)	ObjEst (MYSCIP_assumeconvex)	ObjEst (ALPHAECP_alphaecp-minlpconvex2)	Gap (MYSCIP_assumeconvex)	Gap (ALPHAECP_alphaecp-minlpconvex2)
`BatchS101006M`	`21.7270`	`46.3370`	`0.469`	`769440.00000000`	`769440.00000000`	`769440.00000000`	`769440.00000000`	`0.0000`	`0.0000`
`BatchS121208M`	`30.9590`	`887.7220`	`0.035`	`1241130.00000000`	`1241130.00000000`	`1241130.00000000`	`1241130.00000000`	`0.0000`	`0.0000`
`BatchS151208M`	`225.7170`	`1088.1000`	`0.207`	`1543470.00000000`	`1543470.00000000`	`1543470.00000000`	`1543470.00000000`	`0.0000`	`0.0000`
`BatchS201210M`	`54.2590`	`127.0950`	`0.427`	`2295350.00000000`	`2295350.00000000`	`2295350.00000000`	`2295350.00000000`	`0.0000`	`0.0000`
`clay0203h`	`0.7740`	`3.0090`	`0.257`	`41572.80000000`	`41573.30000000`	`41572.80000000`	`41573.30000000`	`0.0000`	`0.0000`
`clay0203m`	`0.3100`	`2.0080`	`0.154`	`41572.90000000`	`41573.30000000`	`41572.90000000`	`41573.30000000`	`0.0000`	`0.0000`
`clay0204h`	`2.6050`	`11.3170`	`0.230`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`0.0000`	`0.0000`
`clay0204m`	`1.1560`	`6.1480`	`0.188`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`6545.00000000`	`0.0000`	`0.0000`
`clay0205h`	`15.4340`	`38.3660`	`0.402`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0205m`	`4.7990`	`22.6960`	`0.211`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0303h`	`0.9120`	`3.9740`	`0.229`	`26668.30000000`	`26669.10000000`	`26668.30000000`	`26669.10000000`	`0.0000`	`0.0000`
`clay0303m`	`0.4360`	`3.0000`	`0.145`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`26669.10000000`	`0.0000`	`0.0000`
`clay0304h`	`2.9040`	`16.5760`	`0.175`	`40262.30000000`	`40262.40000000`	`40262.30000000`	`40262.40000000`	`0.0000`	`0.0000`
`clay0304m`	`1.7420`	`7.2770`	`0.239`	`40262.20000000`	`40262.40000000`	`40262.20000000`	`40262.40000000`	`0.0000`	`0.0000`
`clay0305h`	`17.7480`	`43.1620`	`0.411`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`clay0305m`	`7.2880`	`24.5400`	`0.297`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`8092.50000000`	`0.0000`	`0.0000`
`FLay03H`	`0.8930`	`8.6170`	`0.104`	`48.98980000`	`48.98980000`	`48.98980000`	`48.98980000`	`0.0000`	`0.0000`
`FLay03M`	`0.4800`	`3.3270`	`0.144`	`48.98980000`	`48.98980000`	`48.98980000`	`48.98980000`	`0.0000`	`0.0000`
`FLay04H`	`4.5470`	`147.2640`	`0.031`	`54.40590000`	`54.40590000`	`54.40590000`	`54.40590000`	`0.0000`	`0.0000`
`FLay04M`	`2.2240`	`118.6470`	`0.019`	`54.40590000`	`54.40590000`	`54.40590000`	`54.40590000`	`0.0000`	`0.0000`
`FLay05H`	`232.2830`	`7202.2400`	`0.032`	`64.49810000`	`64.49810000`	`64.49810000`	`59.95990000`	`0.0000`	`0.0757`
`FLay05M`	`58.2750`	`7202.2100`	`0.008`	`64.49810000`	`64.49810000`	`64.49810000`	`54.40540000`	`0.0000`	`0.1855`
`FLay06H`	`7325.4000`	`7202.2200`	`1.017`	`66.93280000`	`66.93280000`	`64.49780000`	`65.70550000`	`0.0378`	`0.0187`
`FLay06M`	`2587.4000`	`7202.3700`	`0.359`	`66.93270000`	`66.93280000`	`66.93260000`	`65.28080000`	`0.0000`	`0.0253`
`RSyn0810H (max)`	`0.3500`	`0.6630`	`0.528`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`0.0000`	`0.0000`
`RSyn0810M02H (max)`	`1.3990`	`6.3970`	`0.219`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`0.0000`	`0.0000`
`RSyn0810M02M (max)`	`38.7710`	`29.5920`	`1.310`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`1741.39000000`	`0.0000`	`0.0000`
`RSyn0810M03H (max)`	`2.1380`	`11.5210`	`0.186`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`0.0000`	`0.0000`
`RSyn0810M03M (max)`	`95.1980`	`35.6170`	`2.673`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`2722.45000000`	`0.0000`	`0.0000`
`RSyn0810M04H (max)`	`1.9950`	`16.9230`	`0.118`	`6581.94000000`	`6581.94000000`	`6581.94000000`	`6581.94000000`	`0.0000`	`0.0000`
`RSyn0810M04M (max)`	`491.3120`	`32.5020`	`15.116`	`6581.93000000`	`6581.93000000`	`6581.94000000`	`6581.94000000`	`0.0000`	`0.0000`
`RSyn0810M (max)`	`1.7480`	`1.1460`	`1.525`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`1721.45000000`	`0.0000`	`0.0000`
`RSyn0820H (max)`	`0.5400`	`1.3090`	`0.413`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`0.0000`	`0.0000`
`RSyn0820M02H (max)`	`1.5070`	`4.4300`	`0.340`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`0.0000`	`0.0000`
`RSyn0820M02M (max)`	`189.1830`	`28.0010`	`6.756`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`1092.09000000`	`0.0000`	`0.0000`
`RSyn0820M03H (max)`	`3.5940`	`7.7190`	`0.466`	`2028.81000000`	`2028.81000000`	`2028.81000000`	`2028.81000000`	`0.0000`	`0.0000`
`RSyn0820M03M (max)`	`4043.5800`	`23.0700`	`175.274`	`2028.81000000`	`2028.81000000`	`2028.81000000`	`2028.81000000`	`0.0000`	`0.0000`
`RSyn0820M04H (max)`	`2.8120`	`11.6270`	`0.242`	`2450.77000000`	`2450.77000000`	`2450.77000000`	`2450.77000000`	`0.0000`	`0.0000`
`RSyn0820M04M (max)`	`7431.8600`	`26.0200`	`285.621`	`2450.77000000`	`2450.77000000`	`2970.11000000`	`2450.77000000`	`0.1749`	`0.0000`
`RSyn0820M (max)`	`31.5510`	`2.3010`	`13.712`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`1150.30000000`	`0.0000`	`0.0000`
`RSyn0840H (max)`	`0.8380`	`2.4300`	`0.345`	`325.55500000`	`325.55500000`	`325.55500000`	`325.55500000`	`0.0000`	`0.0000`
`RSyn0840M02H (max)`	`1.3060`	`13.8590`	`0.094`	`734.98500000`	`734.98400000`	`734.98500000`	`734.98500000`	`0.0000`	`0.0000`
`RSyn0840M02M (max)`	`984.6840`	`29.1150`	`33.821`	`734.98300000`	`734.98300000`	`734.98600000`	`734.98500000`	`0.0000`	`0.0000`
`RSyn0840M03H (max)`	`3.0000`	`30.3690`	`0.099`	`2742.65000000`	`2742.65000000`	`2742.65000000`	`2742.65000000`	`0.0000`	`0.0000`
`RSyn0840M03M (max)`	`7459.9500`	`50.1770`	`148.673`	`2740.99000000`	`2742.65000000`	`3099.20000000`	`2742.65000000`	`0.1156`	`0.0000`
`RSyn0840M04H (max)`	`3.5960`	`77.1670`	---	`mstat(13) sstat(1)`	`2564.50000000`	---	`2564.50000000`	`---`	`0.0000`
`RSyn0840M04M (max)`	`7314.8000`	`543.7590`	`13.452`	`2562.48000000`	`2564.50000000`	`3252.87000000`	`2564.50000000`	`0.2122`	`0.0000`
`RSyn0840M (max)`	`1.7030`	`2.5790`	`0.660`	`325.55500000`	`325.55500000`	`325.55500000`	`325.55500000`	`0.0000`	`0.0000`
`SLay05H`	`4.2360`	`118.8330`	`0.036`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`0.0000`	`0.0000`
`SLay05M`	`0.8140`	`77.8080`	`0.010`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`22664.70000000`	`0.0000`	`0.0000`
`SLay06H`	`5.9620`	`244.1010`	`0.024`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`0.0000`	`0.0000`
`SLay06M`	`3.4160`	`157.3150`	`0.022`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`32757.00000000`	`0.0000`	`0.0000`
`SLay07H`	`111.8900`	`746.2320`	`0.150`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`0.0000`	`0.0000`
`SLay07M`	`5.1290`	`431.6340`	`0.012`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`64748.80000000`	`0.0000`	`0.0000`
`SLay08H`	`30.9390`	`1579.8000`	`0.020`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`0.0000`	`0.0000`
`SLay08M`	`21.7900`	`821.5290`	`0.027`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`84960.20000000`	`0.0000`	`0.0000`
`SLay09H`	`986.2290`	`7202.2300`	`0.137`	`107806.00000000`	`107983.00000000`	`107806.00000000`	`98642.60000000`	`0.0000`	`0.0947`
`SLay09M`	`74.1690`	`2096.7000`	`0.035`	`107806.00000000`	`107806.00000000`	`107806.00000000`	`107806.00000000`	`0.0000`	`0.0000`
`SLay10H`	`1748.7000`	`7202.0600`	`0.243`	`129580.00000000`	`129876.00000000`	`129580.00000000`	`118969.00000000`	`0.0000`	`0.0917`
`SLay10M`	`152.2020`	`7202.2800`	`0.021`	`129580.00000000`	`129796.00000000`	`129580.00000000`	`112365.00000000`	`0.0000`	`0.1551`
`Syn10H (max)`	`0.3010`	`0.0950`	`3.168`	`1267.35000000`	`1267.35000000`	`1267.35000000`	`1267.35000000`	`0.0000`	`0.0000`
`Syn10M02H (max)`	`0.3970`	`1.0430`	`0.381`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`0.0000`	`0.0000`
`Syn10M02M (max)`	`0.9740`	`0.7600`	`1.282`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`2310.30000000`	`0.0000`	`0.0000`
`Syn10M03H (max)`	`0.4540`	`1.1770`	`0.386`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`0.0000`	`0.0000`
`Syn10M03M (max)`	`1.7960`	`1.0970`	`1.637`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`3354.68000000`	`0.0000`	`0.0000`
`Syn10M04H (max)`	`0.4620`	`2.1200`	`0.218`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`0.0000`	`0.0000`
`Syn10M04M (max)`	`2.7110`	`1.9320`	`1.403`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`4557.06000000`	`0.0000`	`0.0000`
`Syn10M (max)`	`0.1750`	`0.1580`	`1.108`	`1267.35000000`	`1267.35000000`	`1267.35000000`	`1267.35000000`	`0.0000`	`0.0000`
`Syn20H (max)`	`0.3240`	`0.8670`	`0.374`	`924.26400000`	`924.26300000`	`924.26400000`	`924.26500000`	`0.0000`	`0.0000`
`Syn20M02H (max)`	`0.4370`	`1.2090`	`0.361`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`0.0000`	`0.0000`
`Syn20M02M (max)`	`2.0840`	`0.9900`	`2.105`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`1752.13000000`	`0.0000`	`0.0000`
`Syn20M03H (max)`	`0.4680`	`2.2050`	`0.212`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`0.0000`	`0.0000`
`Syn20M03M (max)`	`8.3810`	`1.5200`	`5.514`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`2646.95000000`	`0.0000`	`0.0000`
`Syn20M04H (max)`	`0.8560`	`3.0560`	`0.280`	`3532.74000000`	`3532.74000000`	`3532.74000000`	`3532.75000000`	`0.0000`	`0.0000`
`Syn20M04M (max)`	`17.5570`	`2.5290`	`6.942`	`3532.74000000`	`3532.74000000`	`3532.75000000`	`3532.74000000`	`0.0000`	`0.0000`
`Syn20M (max)`	`1.1730`	`1.1480`	`1.022`	`924.26300000`	`924.26300000`	`924.26500000`	`924.26400000`	`0.0000`	`0.0000`
`Syn40H (max)`	`0.3250`	`2.2640`	`0.144`	`67.71350000`	`67.71340000`	`67.71350000`	`67.71360000`	`0.0000`	`0.0000`
`Syn40M02H (max)`	`1.0280`	`4.9100`	`0.209`	`388.77400000`	`388.77300000`	`388.77400000`	`388.77400000`	`0.0000`	`0.0000`
`Syn40M02M (max)`	`94.3190`	`4.3890`	`21.490`	`388.77200000`	`388.77200000`	`388.77500000`	`388.77300000`	`0.0000`	`0.0000`
`Syn40M03H (max)`	`2.3970`	`10.8970`	`0.220`	`395.15000000`	`395.14900000`	`395.15000000`	`395.15000000`	`0.0000`	`0.0000`
`Syn40M03M (max)`	`1733.0000`	`10.4170`	`166.363`	`395.14800000`	`395.14800000`	`395.15000000`	`395.14900000`	`0.0000`	`0.0000`
`Syn40M04H (max)`	`2.5930`	`21.2340`	`0.122`	`901.75200000`	`901.75200000`	`901.75200000`	`901.75500000`	`0.0000`	`0.0000`
`Syn40M04M (max)`	`7477.8100`	`20.9420`	`357.072`	`901.60200000`	`901.75100000`	`1002.78000000`	`901.75400000`	`0.1009`	`0.0000`
`Syn40M (max)`	`3.4460`	`2.2290`	`1.546`	`67.71330000`	`67.71330000`	`67.71350000`	`67.71350000`	`0.0000`	`0.0000`
`sssd-8-4-3`	`1.2110`	`3.1510`	`0.384`	`197181.00000000`	`197181.00000000`	`197181.00000000`	`197181.00000000`	`0.0000`	`0.0000`
`sssd-10-4-3`	`2.6580`	`6.8130`	`0.390`	`152710.00000000`	`152710.00000000`	`152710.00000000`	`152710.00000000`	`0.0000`	`0.0000`
`sssd-12-5-3`	`4.0020`	`24.2350`	`0.165`	`261143.00000000`	`261143.00000000`	`261143.00000000`	`261142.00000000`	`0.0000`	`0.0000`
`sssd-15-6-3`	`11.3280`	`118.7660`	`0.095`	`440711.00000000`	`440711.00000000`	`440711.00000000`	`440711.00000000`	`0.0000`	`0.0000`
`sssd-16-8-3`	`444.4330`	`3710.8100`	`0.120`	`615763.00000000`	`615763.00000000`	`615763.00000000`	`615763.00000000`	`0.0000`	`0.0000`
`sssd-18-8-3`	`542.1740`	`5649.0100`	`0.096`	`524063.00000000`	`524063.00000000`	`524063.00000000`	`524063.00000000`	`0.0000`	`0.0000`
`sssd-20-9-3`	`7714.7200`	`7202.5300`	`1.071`	`478093.00000000`	`489487.00000000`	`477760.00000000`	`467306.00000000`	`0.0007`	`0.0475`
`sssd-22-8-3`	`6892.9700`	`7202.7000`	`0.957`	`595971.00000000`	`602410.00000000`	`595971.00000000`	`585703.00000000`	`0.0000`	`0.0285`
`uflquad-15-60`	`1530.3100`	`7202.2100`	`0.212`	`1063.19000000`	`1063.19000000`	`1063.19000000`	`150.03600000`	`0.0000`	`6.0862`
`uflquad-15-80`	`7220.6900`	`7202.2300`	`1.003`	`1249.90000000`	`1217.99000000`	`724.85700000`	`-56.14740000`	`0.7243`	`22.6927`
`uflquad-20-40`	`284.2890`	`7202.1600`	`0.039`	`860.96000000`	`860.96100000`	`860.96000000`	`111.42300000`	`0.0000`	`6.7270`
`uflquad-20-50`	`7220.6600`	`7202.1300`	`1.003`	`392.95100000`	`394.98200000`	`149.11500000`	`-483.34100000`	`1.6352`	`1.8172`
`uflquad-25-25`	`14.3800`	`7202.1900`	`0.002`	`673.69700000`	`673.69700000`	`673.69700000`	`229.50000000`	`0.0000`	`1.9355`
`uflquad-25-30`	`18.9550`	`7202.1900`	`0.003`	`669.83900000`	`669.84000000`	`669.83900000`	`22.43660000`	`0.0000`	`28.8548`
`uflquad-25-40`	`292.6350`	`7202.2000`	`0.041`	`828.16400000`	`828.16500000`	`828.16400000`	`193.96600000`	`0.0000`	`3.2696`
`nd-10`	`45.5430`	`5943.3000`	`0.008`	`52.46110000`	`52.46110000`	`52.46110000`	`52.46110000`	`0.0000`	`0.0000`
`nd-12`	`72.8130`	`684.6800`	`0.106`	`56.66960000`	`56.66960000`	`56.66960000`	`56.66960000`	`0.0000`	`0.0000`
`nd-13`	`3286.0400`	`7202.3300`	---	`mstat(13) sstat(1)`	`63.00510000`	---	`53.17870000`	`---`	`0.1848`
`nd-15`	`7255.5800`	`7202.2600`	---	`80.46940000`	`mstat(13) sstat(1)`	`67.20590000`	---	`0.1974`	`---`
`nd-16`	`7246.9600`	`7202.3300`	---	`mstat(13) sstat(1)`	`98.19780000`	---	`89.58430000`	`---`	`0.0961`
`fo7_2`	`63.4920`	`16.2510`	`3.907`	`17.74930000`	`17.74930000`	`17.74930000`	`17.74930000`	`0.0000`	`0.0000`
`fo7_ar2_1`	`32.3480`	`71.6920`	`0.451`	`24.83980000`	`24.83980000`	`24.83980000`	`24.83980000`	`0.0000`	`0.0000`
`fo7_ar25_1`	`22.1460`	`68.7200`	`0.322`	`23.09360000`	`23.09360000`	`23.09360000`	`23.09360000`	`0.0000`	`0.0000`
`fo7_ar3_1`	`26.0700`	`143.0130`	`0.182`	`22.51750000`	`22.51750000`	`22.51750000`	`22.51750000`	`0.0000`	`0.0000`
`fo7_ar4_1`	`44.5350`	`129.5990`	`0.344`	`20.72980000`	`20.72980000`	`20.72980000`	`20.72980000`	`0.0000`	`0.0000`
`fo7_ar5_1`	`13.2490`	`26.7280`	`0.496`	`17.74930000`	`17.74930000`	`17.74930000`	`17.74930000`	`0.0000`	`0.0000`
`fo7`	`128.7190`	`158.3240`	`0.813`	`20.72980000`	`20.72980000`	`20.72980000`	`20.72980000`	`0.0000`	`0.0000`
`fo8_ar2_1`	`225.8400`	`416.7040`	`0.542`	`30.34060000`	`30.34060000`	`30.34060000`	`30.34060000`	`0.0000`	`0.0000`
`fo8_ar25_1`	`168.2290`	`432.2920`	`0.389`	`28.04520000`	`28.04520000`	`28.04520000`	`28.04520000`	`0.0000`	`0.0000`
`fo8_ar3_1`	`107.9150`	`175.8330`	`0.614`	`23.91000000`	`23.91010000`	`23.91000000`	`23.91010000`	`0.0000`	`0.0000`
`fo8_ar4_1`	`128.2540`	`130.3020`	`0.984`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo8_ar5_1`	`90.1740`	`469.2460`	`0.192`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo8`	`377.7440`	`532.1980`	`0.710`	`22.38190000`	`22.38190000`	`22.38190000`	`22.38190000`	`0.0000`	`0.0000`
`fo9_ar2_1`	`1361.5800`	`1938.4500`	`0.702`	`32.62500000`	`32.62500000`	`32.62500000`	`32.62500000`	`0.0000`	`0.0000`
`fo9_ar25_1`	`7458.6500`	`7202.1900`	`1.036`	`32.18640000`	`32.18640000`	`29.79580000`	`31.30790000`	`0.0802`	`0.0281`
`fo9_ar3_1`	`80.7270`	`1033.5200`	`0.078`	`24.81550000`	`24.81550000`	`24.81550000`	`24.81550000`	`0.0000`	`0.0000`
`fo9_ar4_1`	`700.2040`	`1274.7400`	`0.549`	`23.46430000`	`23.46430000`	`23.46430000`	`23.46430000`	`0.0000`	`0.0000`
`fo9_ar5_1`	`913.2290`	`2653.3400`	`0.344`	`23.46430000`	`23.46430000`	`23.46430000`	`23.46430000`	`0.0000`	`0.0000`
`fo9`	`877.6090`	`3049.9300`	`0.288`	`23.46430000`	`23.46430000`	`23.46430000`	`23.46430000`	`0.0000`	`0.0000`
`m3`	`0.1630`	`0.4270`	`0.382`	`37.80000000`	`37.80000000`	`37.80000000`	`37.80000000`	`0.0000`	`0.0000`
`m6`	`1.5190`	`1.4800`	`1.026`	`82.25690000`	`82.25690000`	`82.25690000`	`82.25690000`	`0.0000`	`0.0000`
`m7_ar2_1`	`4.8210`	`6.8390`	`0.705`	`190.23500000`	`190.23500000`	`190.23500000`	`190.23500000`	`0.0000`	`0.0000`
`m7_ar25_1`	`1.8010`	`1.0600`	`1.699`	`143.58500000`	`143.58500000`	`143.58500000`	`143.58500000`	`0.0000`	`0.0000`
`m7_ar3_1`	`6.4840`	`10.8580`	`0.597`	`143.58500000`	`143.58500000`	`143.58500000`	`143.58500000`	`0.0000`	`0.0000`
`m7_ar4_1`	`1.1680`	`0.9760`	`1.197`	`106.75700000`	`106.75700000`	`106.75700000`	`106.75700000`	`0.0000`	`0.0000`
`m7_ar5_1`	`9.4960`	`3.7390`	`2.540`	`106.46000000`	`106.46000000`	`106.46000000`	`106.46000000`	`0.0000`	`0.0000`
`m7`	`9.2380`	`2.8200`	`3.276`	`106.75700000`	`106.75700000`	`106.75700000`	`106.75700000`	`0.0000`	`0.0000`
`netmod_dol1`	`5276.9300`	`7202.1700`	`0.733`	`-0.56000800`	`-0.55976000`	`-0.56000800`	`-0.64218600`	`0.0000`	`0.1284`
`netmod_dol2`	`38.4470`	`408.5090`	`0.094`	`-0.56000800`	`-0.56000800`	`-0.56000800`	`-0.56000800`	`0.0000`	`0.0000`
`netmod_kar1`	`3.8370`	`81.9920`	`0.047`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`0.0000`	`0.0000`
`netmod_kar2`	`3.8280`	`82.5560`	`0.046`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`-0.41979000`	`0.0000`	`0.0000`
`no7_ar2_1`	`19.6950`	`131.1430`	`0.150`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar25_1`	`53.3200`	`221.2130`	`0.241`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar3_1`	`171.5720`	`361.9430`	`0.474`	`107.81500000`	`107.81500000`	`107.81500000`	`107.81500000`	`0.0000`	`0.0000`
`no7_ar4_1`	`101.1420`	`308.8270`	`0.328`	`98.51840000`	`98.51840000`	`98.51840000`	`98.51840000`	`0.0000`	`0.0000`
`no7_ar5_1`	`63.5460`	`197.2660`	`0.322`	`90.62270000`	`90.62270000`	`90.62270000`	`90.62270000`	`0.0000`	`0.0000`
`o7_2`	`1272.4600`	`1225.8300`	`1.038`	`116.94600000`	`116.94600000`	`116.94600000`	`116.94600000`	`0.0000`	`0.0000`
`o7_ar2_1`	`78.4490`	`164.5370`	`0.477`	`140.41200000`	`140.41200000`	`140.41200000`	`140.41200000`	`0.0000`	`0.0000`
`o7_ar25_1`	`465.1740`	`876.7070`	`0.531`	`140.41200000`	`140.41200000`	`140.41200000`	`140.41200000`	`0.0000`	`0.0000`
`o7_ar3_1`	`712.5000`	`689.1960`	`1.034`	`137.93200000`	`137.93200000`	`137.93200000`	`137.93200000`	`0.0000`	`0.0000`
`o7_ar4_1`	`1244.0700`	`4416.5100`	`0.282`	`131.65300000`	`131.65300000`	`131.65300000`	`131.65300000`	`0.0000`	`0.0000`
`o7_ar5_1`	`419.9260`	`645.0260`	`0.651`	`116.94600000`	`116.94600000`	`116.94600000`	`116.94600000`	`0.0000`	`0.0000`
`o7`	`1575.0800`	`7202.2300`	`0.219`	`131.65300000`	`131.65300000`	`131.65300000`	`97.11390000`	`0.0000`	`0.3557`
`o8_ar4_1`	`7423.9200`	`7202.4500`	`1.031`	`243.07100000`	`243.07100000`	`225.04800000`	`174.30600000`	`0.0801`	`0.3945`
`o9_ar4_1`	`7412.4000`	`7202.6900`	`1.029`	`236.13800000`	`266.02800000`	`217.27700000`	`210.81100000`	`0.0868`	`0.2619`
`tls12`	`7368.4500`	`7202.3000`	---	`mstat(14) sstat(3)`	`mstat(14) sstat(3)`	---	---	---	---
`tls2`	`0.1810`	`0.3030`	`0.597`	`5.30000000`	`5.30000000`	`5.30000000`	`5.30000000`	`0.0000`	`0.0000`
`tls4`	`9.2560`	`224.4940`	`0.041`	`8.30000000`	`8.30000000`	`8.30000000`	`8.30000000`	`0.0000`	`0.0000`
`tls5`	`7410.4800`	`7202.2800`	`1.029`	`10.40000000`	`14.60000000`	`8.60264000`	`6.30000000`	`0.2089`	`1.3175`
`tls6`	`7415.0500`	`7202.2800`	`1.030`	`15.30000000`	`39.10000000`	`10.19440000`	`3.86909000`	`0.5008`	`9.1057`
`tls7`	`7315.0100`	`7202.3400`	`1.016`	`15.80000000`	`53.80000000`	`6.40000000`	`1.34735000`	`1.4688`	`38.9302`
Shifted Geometric Mean (Solved)	79.40	146.18
% Unsolved	12.26%	18.06%