Solver Square Comparison

Solver Square Comparison: Considers all models.

Date / Time: 08/24/07 19:22:08

Solver comparison utility.

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 BARON is represented on the left (rows) and solver LaGO 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.

Tracefile 1 :	`1-BARON7.8.1.QQPs.trc`
Tracefile 2 :	`2-LaGO-1.trc`
Solvers used :	`BARON`
	`LaGO`
Modeltype(s)	`NLP`

	LaGO: optimal	LaGO: locally optimal	LaGO: feasible	LaGO: infeasible	LaGO: unbounded	LaGO: fail	LaGO: no data	total BARON
BARON: optimal	`1`	`24`	-	-	-	-	-	`25`
BARON: locally optimal	-	`136`	-	-	-	`1`	-	`137`
BARON: feasible	-	-	-	-	-	-	-	`-`
BARON: infeasible	-	-	-	-	-	-	-	`-`
BARON: unbounded	-	-	-	-	-	-	-	`-`
BARON: fail	-	-	-	-	-	-	-	`-`
BARON: no data	-	-	-	-	-	-	-	`-`
total LaGO	`1`	`160`	`-`	`-`	`-`	`1`	`-`	`162`

Solver return definitions:

Outcome	Model Status	Solver Status
optimal	1 or 15	1
locally optimal	2	any
feasible	7 or 16 or 17	1 or 2 or 3 or 4 or 5
infeasible	4 or 5 or 19	1
unbounded	3 or 18	1
fail	all other	all other

Solver Resource Times

Models for each solver pair outcome. Listed are the solver resource times 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 1.00E-05. 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.

BARON: optimal -- LaGO: optimal Back to top

Modelname	Time (BARON)	Time (LaGO)	Ratio (BARON/LaGO)	Obj (BARON)	Obj (LaGO)
`nemhaus`	`0.0000`	`0.0420`	`---`	`31.00000000`	`31.00000000`

BARON: optimal -- LaGO: locally optimal Back to top

Modelname	Time (BARON)	Time (LaGO)	Ratio (BARON/LaGO)	Obj (BARON)	Obj (LaGO)
`ex14_1_6`	`0.0000`	`2.3170`	`0.000`	`0.00000000`	`0.00000000`
`ex2_1_2`	`0.0000`	`0.0380`	`---`	`-213.00000000`	`-213.00000000`
`ex3_1_3`	`0.0000`	`0.0520`	`0.000`	`-310.00000000`	`-310.00000000`
`ex9_1_1`	`0.0100`	`0.1080`	`0.093`	`-13.00000000`	`-13.00000000`
`ex9_1_10`	`0.0000`	`1.5240`	`0.000`	`-3.25000000`	`-3.25000000`
`ex9_1_2`	`0.0100`	`2.6150`	`0.004`	`-16.00000001`	`-16.00000000`
`ex9_1_4`	`0.0000`	`2.4720`	`0.000`	`-37.00000000`	`-37.00000000`
`ex9_1_5`	`0.0000`	`0.0700`	`0.000`	`-1.00000000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`1.5250`	`0.000`	`-3.25000000`	`-3.25000000`
`ex9_2_2`	`0.0000`	`0.1300`	`0.000`	`99.99998248`	`99.99996939`
`ex9_2_3`	`0.0300`	`2.0340`	`0.015`	`0.00000000`	`0.00000000`
`immun`	`0.0300`	`0.2070`	`0.145`	`0.00000000`	`0.00000000`
`st_bpv1`	`0.0000`	`0.0430`	`---`	`10.00000000`	`10.00000000`
`st_bsj3`	`0.0000`	`0.0600`	`0.000`	`-86768.55000000`	`-86768.55000000`
`st_e02`	`0.0000`	`0.0600`	`0.000`	`201.15912557`	`201.15933406`
`st_e34`	`0.0000`	`0.0620`	`0.000`	`0.01561953`	`0.01561953`
`st_fp2`	`0.0000`	`0.0520`	`0.000`	`-213.00000000`	`-213.00000000`
`st_fp3`	`0.0200`	`0.0720`	`0.278`	`-15.00000000`	`-15.00000000`
`st_ph10`	`0.0000`	`0.0440`	`---`	`-10.50000000`	`-10.50000000`
`st_qpc-m3b`	`0.0600`	`5.6040`	`0.011`	`0.00000000`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.0790`	`0.000`	`0.00000000`	`0.00000000`
`st_qpc-m4`	`0.0100`	`0.1030`	`0.097`	`0.00000000`	`0.00000000`
`st_robot`	`0.0300`	`0.1400`	`0.214`	`0.00000000`	`0.00000000`
`st_z`	`0.0100`	`0.0600`	`0.167`	`0.00000000`	`0.00000000`

BARON: locally optimal -- LaGO: locally optimal Back to top

Modelname	Time (BARON)	Time (LaGO)	Ratio (BARON/LaGO)	Obj (BARON)	Obj (LaGO)
`abel`	`3600.0100`	`0.1470`	`24489.864`	`225.19458319`	`225.19458319`
`bayes2_10`	`0.3000`	`2.5980`	`0.115`	`13.67748915`	`0.00030565`
`bayes2_20`	`3600.0000`	`1.5170`	`2373.105`	`0.00032609`	`0.00970679`
`bayes2_30`	`3600.0100`	`5.2170`	`690.054`	`0.00010752`	`0.00010752`
`bayes2_50`	`492.4100`	`3600.6330`	`0.137`	`0.52020774`	`0.52020774`
`camshape100`	`3600.0200`	`3600.2700`	`1.000`	`-4.28423607`	`-4.28414712`
`camshape200`	`3600.1000`	`3602.6840`	`0.999`	`-4.27850988`	`-4.27850079`
`camshape400`	`3600.4000`	`3610.5380`	`0.997`	`-4.27574754`	`-4.27568848`
`catmix100`	`3600.5100`	`3600.2900`	`1.000`	`-0.04806570`	`-0.04806933`
`catmix200`	`3602.3000`	`3603.4870`	`1.000`	`-0.04805517`	`-0.04805899`
`circle`	`0.0300`	`0.1020`	`0.294`	`4.57424778`	`4.57424779`
`demo7`	`0.2900`	`0.5440`	`0.533`	`-1589042.38620000`	`-1589042.38619811`
`dispatch`	`0.0100`	`0.0540`	`0.185`	`3155.28792686`	`3155.28792686`
`ex2_1_1`	`0.0200`	`0.0730`	`0.274`	`-17.00000000`	`-17.00000000`
`ex2_1_10`	`0.0400`	`0.2640`	`0.152`	`49318.01795840`	`49318.01795841`
`ex2_1_3`	`0.0000`	`0.0470`	`---`	`-15.00000000`	`-15.00000000`
`ex2_1_4`	`0.0000`	`0.0480`	`---`	`-11.00002574`	`-11.00000000`
`ex2_1_5`	`0.0300`	`0.0810`	`0.370`	`-268.01463169`	`-268.01463154`
`ex2_1_6`	`0.0200`	`0.0820`	`0.244`	`-39.00000000`	`-39.00000000`
`ex2_1_7`	`0.4000`	`13.3140`	`0.030`	`-4150.41013393`	`-4150.41013393`
`ex2_1_8`	`0.0700`	`0.3240`	`0.216`	`15639.00000000`	`15639.00000000`
`ex2_1_9`	`3.2200`	`3600.3380`	`0.001`	`-0.37500000`	`-0.37500000`
`ex3_1_1`	`0.2000`	`3600.2390`	`0.000`	`7049.24807534`	`7049.24802053`
`ex3_1_2`	`0.0100`	`0.0590`	`0.169`	`-30665.53867290`	`-30665.53867179`
`ex3_1_4`	`0.0200`	`2.2600`	`0.009`	`-4.00000000`	`-4.00000000`
`ex5_2_2_case1`	`0.0200`	`3600.0460`	`0.000`	`-400.00000000`	`-400.00000000`
`ex5_2_2_case2`	`0.0400`	`3600.1760`	`0.000`	`-600.00000000`	`-600.00000000`
`ex5_2_2_case3`	`0.0100`	`3600.0280`	`0.000`	`-750.00000000`	`-750.00000000`
`ex5_2_4`	`0.0400`	`59.9070`	`0.001`	`-450.00000000`	`-450.00000000`
`ex5_2_5`	`3600.0200`	`3600.4060`	`1.000`	`-3500.00009029`	`-3500.00000000`
`ex5_3_2`	`0.1300`	`3600.1540`	`0.000`	`1.86415946`	`1.86415946`
`ex5_4_2`	`0.1300`	`3600.2640`	`0.000`	`7512.23013503`	`7512.23014448`
`ex7_3_3`	`0.0400`	`95.5140`	`0.000`	`0.81752905`	`0.81752905`
`ex8_3_2`	`3600.0200`	`3600.5520`	`1.000`	`-0.41233021`	`-0.41233018`
`ex8_3_3`	`3600.0300`	`3600.1120`	`1.000`	`-0.41660308`	`-0.41660308`
`ex8_3_4`	`3600.0100`	`3600.4570`	`1.000`	`-3.55044156`	`-3.57998238`
`ex8_3_5`	`3600.0200`	`3600.1240`	`1.000`	`-0.06911967`	`-0.06911967`
`ex8_3_8`	`3600.0800`	`3600.7550`	`1.000`	`-3.25611909`	`-3.25611909`
`ex8_3_9`	`3600.0100`	`3600.1260`	`1.000`	`-0.76300275`	`-0.76300193`
`ex8_4_1`	`0.6600`	`3600.5750`	`0.000`	`0.61857276`	`0.61857276`
`ex9_2_1`	`0.0200`	`0.3210`	`0.062`	`17.00000000`	`17.00000000`
`ex9_2_4`	`0.0400`	`1.0820`	`0.037`	`0.50000000`	`0.50000000`
`ex9_2_5`	`0.0200`	`3600.3430`	`0.000`	`5.00000000`	`5.00000000`
`ex9_2_6`	`0.0300`	`142.2150`	`0.000`	`-1.00000000`	`-1.00000000`
`ex9_2_7`	`0.0200`	`0.3250`	`0.062`	`17.00000000`	`17.00000000`
`ex9_2_8`	`0.0000`	`0.0430`	`---`	`1.50000000`	`1.50000000`
`haverly`	`0.0500`	`3600.1920`	`0.000`	`-400.00000000`	`-400.00000000`
`himmel11`	`0.0100`	`0.0670`	`0.149`	`-30665.53867740`	`-30665.53867178`
`himmel16`	`31.1100`	`3600.4060`	`0.009`	`-0.86602540`	`-0.86602540`
`house`	`0.0100`	`2813.4900`	`0.000`	`-4500.00000000`	`-4500.00000000`
`hydro`	`0.0400`	`0.1800`	`0.222`	`4366944.15974000`	`4366944.15975814`
`meanvar`	`0.6800`	`0.0620`	`10.968`	`5.24339907`	`5.24339907`
`prob05`	`0.0000`	`0.1440`	`0.000`	`0.74178196`	`0.74178196`
`prob06`	`0.0000`	`0.0760`	`0.000`	`1.17712434`	`1.17712434`
`prolog`	`0.2800`	`3600.2510`	`0.000`	`-0.00000001`	`0.00000000`
`qp1`	`3600.2200`	`1.4170`	`2540.734`	`0.00080932`	`0.00080932`
`qp2`	`3600.1500`	`0.9580`	`3757.985`	`0.00080932`	`0.00080932`
`qp3`	`3600.0100`	`3600.3330`	`1.000`	`0.00080932`	`0.00080932`
`qp4`	`0.3000`	`3.1160`	`0.096`	`0.00080932`	`0.00080932`
`sambal`	`0.0700`	`0.0800`	`0.875`	`3.96822036`	`3.96822036`
`st_bpaf1a`	`0.0100`	`8.2830`	`0.001`	`-45.37971014`	`-45.37971014`
`st_bpaf1b`	`0.0000`	`1.4280`	`0.000`	`-42.96255760`	`-42.96255760`
`st_bpk1`	`0.0100`	`0.0680`	`0.147`	`-13.00000000`	`-13.00000000`
`st_bpk2`	`0.0000`	`0.0600`	`0.000`	`-13.00000000`	`-13.00000000`
`st_bpv2`	`0.0000`	`0.0570`	`0.000`	`-8.00000000`	`-8.00000000`
`st_bsj2`	`0.0100`	`0.0620`	`0.161`	`1.00000000`	`1.00000000`
`st_bsj4`	`0.0100`	`0.0760`	`0.132`	`-70262.05000000`	`-70262.05000000`
`st_cqpf`	`0.0000`	`0.0410`	`---`	`-2.75000206`	`-2.75000000`
`st_cqpjk1`	`0.0100`	`0.0630`	`0.159`	`-12.44444222`	`-12.44444222`
`st_cqpjk2`	`0.0000`	`0.0510`	`0.000`	`-12.50000000`	`-12.50000000`
`st_e01`	`0.0000`	`0.0550`	`0.000`	`-6.66666667`	`-6.66666667`
`st_e05`	`0.1200`	`233.3930`	`0.001`	`7049.24927248`	`7049.24927248`
`st_e07`	`0.0200`	`1.8420`	`0.011`	`-400.00000000`	`-400.00000000`
`st_e08`	`0.0000`	`0.1480`	`0.000`	`0.74178196`	`0.74178196`
`st_e09`	`0.0100`	`0.1540`	`0.065`	`-0.50000001`	`-0.50000000`
`st_e18`	`0.0000`	`0.0490`	`---`	`-2.82842712`	`-2.82842712`
`st_e22`	`0.0000`	`0.0570`	`0.000`	`-85.00000000`	`-85.00000000`
`st_e23`	`0.0100`	`0.0700`	`0.143`	`-1.08333333`	`-1.08333333`
`st_e24`	`0.0100`	`0.0520`	`0.192`	`3.00000000`	`3.00000000`
`st_e25`	`0.0100`	`0.0610`	`0.164`	`0.89019359`	`0.89019359`
`st_e26`	`0.0100`	`0.0460`	`---`	`-185.77920000`	`-185.77920000`
`st_e28`	`0.0100`	`0.0630`	`0.159`	`-30665.53867740`	`-30665.53867178`
`st_e30`	`0.0800`	`55.5070`	`0.001`	`-1.58113883`	`-1.58113883`
`st_e33`	`0.0300`	`1.2070`	`0.025`	`-400.00000000`	`-400.00000000`
`st_e42`	`0.0100`	`0.0520`	`0.192`	`18.78420000`	`18.78420000`
`st_fp1`	`0.0100`	`0.0950`	`0.105`	`-17.00000000`	`-17.00000000`
`st_fp4`	`0.0100`	`0.0530`	`0.189`	`-11.00000000`	`-11.00000000`
`st_fp5`	`0.0200`	`0.0950`	`0.211`	`-268.01463169`	`-268.01463154`
`st_fp6`	`0.0300`	`0.1010`	`0.297`	`-39.00000000`	`-39.00000000`
`st_fp7a`	`0.1200`	`1.6180`	`0.074`	`-354.75061242`	`-354.75061242`
`st_fp7b`	`0.1100`	`1.0800`	`0.102`	`-634.75061242`	`-634.75061242`
`st_fp7c`	`0.1100`	`1.5800`	`0.070`	`-8695.01224832`	`-8695.01224832`
`st_fp7d`	`0.1500`	`2.1800`	`0.069`	`-114.75061242`	`-114.75061242`
`st_fp7e`	`7.5500`	`13.6840`	`0.552`	`-3730.41013393`	`-3730.41013393`
`st_fp8`	`0.0600`	`0.4530`	`0.132`	`15639.00000000`	`15639.00000000`
`st_glmp_fp1`	`0.0000`	`0.0630`	`0.000`	`9.99998574`	`10.00000000`
`st_glmp_fp2`	`0.0000`	`0.1290`	`0.000`	`7.34454542`	`7.34454542`
`st_glmp_fp3`	`0.0000`	`0.0610`	`0.000`	`-12.00000000`	`-12.00000000`
`st_glmp_kk90`	`0.0000`	`0.0550`	`0.000`	`3.00000000`	`3.00000000`
`st_glmp_kk92`	`0.0000`	`0.0620`	`0.000`	`-12.00000000`	`-12.00000000`
`st_glmp_kky`	`0.0100`	`0.2530`	`0.040`	`-2.50000000`	`-2.50000000`
`st_glmp_ss1`	`0.0100`	`0.1220`	`0.082`	`-24.57142857`	`-24.57142857`
`st_glmp_ss2`	`0.0000`	`0.0620`	`0.000`	`2.99999713`	`3.00000000`
`st_ht`	`0.0200`	`0.0540`	`0.370`	`-1.60000000`	`-1.60000000`
`st_iqpbk1`	`0.3000`	`0.6290`	`0.477`	`-621.48782500`	`-621.48782500`
`st_iqpbk2`	`0.3400`	`0.3460`	`0.983`	`-1195.22565000`	`-1195.22565000`
`st_jcbpaf2`	`0.0200`	`89.2410`	`0.000`	`-794.85591401`	`-794.85591398`
`st_jcbpafex`	`0.0000`	`0.0690`	`0.000`	`-1.08333333`	`-1.08333333`
`st_kr`	`0.0000`	`0.0670`	`0.000`	`-85.00000000`	`-85.00000000`
`st_m1`	`0.0700`	`0.8980`	`0.078`	`-461356.93887900`	`-461356.93887879`
`st_m2`	`0.2000`	`382.2090`	`0.001`	`-856648.81868500`	`-856648.81868507`
`st_pan1`	`0.0100`	`0.0600`	`0.167`	`-5.28370925`	`-5.28370918`
`st_pan2`	`0.0100`	`0.0870`	`0.115`	`-17.00000000`	`-17.00000000`
`st_ph1`	`0.0100`	`0.0640`	`0.156`	`-230.11728395`	`-230.11728395`
`st_ph11`	`0.0000`	`0.0650`	`0.000`	`-11.28125000`	`-11.28125000`
`st_ph12`	`0.0100`	`0.0570`	`0.175`	`-22.62500000`	`-22.62500000`
`st_ph13`	`0.0000`	`0.0630`	`0.000`	`-11.28125000`	`-11.28125000`
`st_ph14`	`0.0000`	`0.0610`	`0.000`	`-229.72222222`	`-229.72222222`
`st_ph15`	`0.0100`	`0.0610`	`0.164`	`-392.70370370`	`-392.70370370`
`st_ph2`	`0.0000`	`0.0670`	`0.000`	`-1028.11728395`	`-1028.11728395`
`st_ph20`	`0.0100`	`0.0550`	`0.182`	`-158.00000000`	`-158.00000000`
`st_ph3`	`0.0100`	`0.0670`	`0.149`	`-420.23481985`	`-420.23481985`
`st_phex`	`0.0100`	`0.0560`	`0.179`	`-85.00000000`	`-85.00000000`
`st_qpc-m0`	`0.0100`	`0.0470`	`---`	`-5.00000000`	`-5.00000000`
`st_qpc-m1`	`0.0100`	`0.2410`	`0.041`	`-473.77777778`	`-473.77777778`
`st_qpc-m3a`	`0.2100`	`3600.2090`	`0.000`	`-382.69500000`	`-382.69500000`
`st_qpk1`	`0.0000`	`0.0560`	`0.000`	`-3.00000000`	`-3.00000000`
`st_qpk2`	`0.1500`	`0.4100`	`0.366`	`-12.25000000`	`-12.25000000`
`st_qpk3`	`3.7000`	`11.3020`	`0.327`	`-36.00000000`	`-36.00000000`
`st_rv1`	`0.0200`	`0.0800`	`0.250`	`-59.94391660`	`-59.90434506`
`st_rv2`	`0.1500`	`0.3170`	`0.473`	`-64.48069510`	`-64.48069510`
`st_rv3`	`0.1000`	`0.7780`	`0.129`	`-35.76067064`	`-35.76067064`
`st_rv7`	`0.2000`	`0.9570`	`0.209`	`-138.18749713`	`-138.18749713`
`st_rv8`	`0.3500`	`1.4970`	`0.234`	`-132.66162896`	`-132.66162896`
`st_rv9`	`27.3300`	`5.8620`	`4.662`	`-120.11640294`	`-120.11640294`
`turkey`	`10.9600`	`22.1270`	`0.495`	`-29330.15804000`	`-29330.15804003`

BARON: locally optimal -- LaGO: fail Back to top

Modelname	Time (BARON)	Time (LaGO)	Ratio (BARON/LaGO)	Obj (BARON)	Status (LaGO)
`ex5_3_3`	`3600.0100`	`NA`	---	`3.23401822`	`mstat(13) sstat(13)`

BARON: optimal: Back to top

Modelname	Time (BARON)	Obj (BARON)
`ex14_1_6`	`0.0000`	`0.00000000`
`ex2_1_2`	`0.0000`	`-213.00000000`
`ex3_1_3`	`0.0000`	`-310.00000000`
`ex9_1_1`	`0.0100`	`-13.00000000`
`ex9_1_10`	`0.0000`	`-3.25000000`
`ex9_1_2`	`0.0100`	`-16.00000001`
`ex9_1_4`	`0.0000`	`-37.00000000`
`ex9_1_5`	`0.0000`	`-1.00000000`
`ex9_1_8`	`0.0000`	`-3.25000000`
`ex9_2_2`	`0.0000`	`99.99998248`
`ex9_2_3`	`0.0300`	`0.00000000`
`immun`	`0.0300`	`0.00000000`
`nemhaus`	`0.0000`	`31.00000000`
`st_bpv1`	`0.0000`	`10.00000000`
`st_bsj3`	`0.0000`	`-86768.55000000`
`st_e02`	`0.0000`	`201.15912557`
`st_e34`	`0.0000`	`0.01561953`
`st_fp2`	`0.0000`	`-213.00000000`
`st_fp3`	`0.0200`	`-15.00000000`
`st_ph10`	`0.0000`	`-10.50000000`
`st_qpc-m3b`	`0.0600`	`0.00000000`
`st_qpc-m3c`	`0.0000`	`0.00000000`
`st_qpc-m4`	`0.0100`	`0.00000000`
`st_robot`	`0.0300`	`0.00000000`
`st_z`	`0.0100`	`0.00000000`

BARON: locally optimal: Back to top

Modelname	Time (BARON)	Obj (BARON)
`abel`	`3600.0100`	`225.19458319`
`bayes2_10`	`0.3000`	`13.67748915`
`bayes2_20`	`3600.0000`	`0.00032609`
`bayes2_30`	`3600.0100`	`0.00010752`
`bayes2_50`	`492.4100`	`0.52020774`
`camshape100`	`3600.0200`	`-4.28423607`
`camshape200`	`3600.1000`	`-4.27850988`
`camshape400`	`3600.4000`	`-4.27574754`
`catmix100`	`3600.5100`	`-0.04806570`
`catmix200`	`3602.3000`	`-0.04805517`
`circle`	`0.0300`	`4.57424778`
`demo7`	`0.2900`	`-1589042.38620000`
`dispatch`	`0.0100`	`3155.28792686`
`ex2_1_1`	`0.0200`	`-17.00000000`
`ex2_1_10`	`0.0400`	`49318.01795840`
`ex2_1_3`	`0.0000`	`-15.00000000`
`ex2_1_4`	`0.0000`	`-11.00002574`
`ex2_1_5`	`0.0300`	`-268.01463169`
`ex2_1_6`	`0.0200`	`-39.00000000`
`ex2_1_7`	`0.4000`	`-4150.41013393`
`ex2_1_8`	`0.0700`	`15639.00000000`
`ex2_1_9`	`3.2200`	`-0.37500000`
`ex3_1_1`	`0.2000`	`7049.24807534`
`ex3_1_2`	`0.0100`	`-30665.53867290`
`ex3_1_4`	`0.0200`	`-4.00000000`
`ex5_2_2_case1`	`0.0200`	`-400.00000000`
`ex5_2_2_case2`	`0.0400`	`-600.00000000`
`ex5_2_2_case3`	`0.0100`	`-750.00000000`
`ex5_2_4`	`0.0400`	`-450.00000000`
`ex5_2_5`	`3600.0200`	`-3500.00009029`
`ex5_3_2`	`0.1300`	`1.86415946`
`ex5_3_3`	`3600.0100`	`3.23401822`
`ex5_4_2`	`0.1300`	`7512.23013503`
`ex7_3_3`	`0.0400`	`0.81752905`
`ex8_3_2`	`3600.0200`	`-0.41233021`
`ex8_3_3`	`3600.0300`	`-0.41660308`
`ex8_3_4`	`3600.0100`	`-3.55044156`
`ex8_3_5`	`3600.0200`	`-0.06911967`
`ex8_3_8`	`3600.0800`	`-3.25611909`
`ex8_3_9`	`3600.0100`	`-0.76300275`
`ex8_4_1`	`0.6600`	`0.61857276`
`ex9_2_1`	`0.0200`	`17.00000000`
`ex9_2_4`	`0.0400`	`0.50000000`
`ex9_2_5`	`0.0200`	`5.00000000`
`ex9_2_6`	`0.0300`	`-1.00000000`
`ex9_2_7`	`0.0200`	`17.00000000`
`ex9_2_8`	`0.0000`	`1.50000000`
`haverly`	`0.0500`	`-400.00000000`
`himmel11`	`0.0100`	`-30665.53867740`
`himmel16`	`31.1100`	`-0.86602540`
`house`	`0.0100`	`-4500.00000000`
`hydro`	`0.0400`	`4366944.15974000`
`meanvar`	`0.6800`	`5.24339907`
`prob05`	`0.0000`	`0.74178196`
`prob06`	`0.0000`	`1.17712434`
`prolog`	`0.2800`	`-0.00000001`
`qp1`	`3600.2200`	`0.00080932`
`qp2`	`3600.1500`	`0.00080932`
`qp3`	`3600.0100`	`0.00080932`
`qp4`	`0.3000`	`0.00080932`
`sambal`	`0.0700`	`3.96822036`
`st_bpaf1a`	`0.0100`	`-45.37971014`
`st_bpaf1b`	`0.0000`	`-42.96255760`
`st_bpk1`	`0.0100`	`-13.00000000`
`st_bpk2`	`0.0000`	`-13.00000000`
`st_bpv2`	`0.0000`	`-8.00000000`
`st_bsj2`	`0.0100`	`1.00000000`
`st_bsj4`	`0.0100`	`-70262.05000000`
`st_cqpf`	`0.0000`	`-2.75000206`
`st_cqpjk1`	`0.0100`	`-12.44444222`
`st_cqpjk2`	`0.0000`	`-12.50000000`
`st_e01`	`0.0000`	`-6.66666667`
`st_e05`	`0.1200`	`7049.24927248`
`st_e07`	`0.0200`	`-400.00000000`
`st_e08`	`0.0000`	`0.74178196`
`st_e09`	`0.0100`	`-0.50000001`
`st_e18`	`0.0000`	`-2.82842712`
`st_e22`	`0.0000`	`-85.00000000`
`st_e23`	`0.0100`	`-1.08333333`
`st_e24`	`0.0100`	`3.00000000`
`st_e25`	`0.0100`	`0.89019359`
`st_e26`	`0.0100`	`-185.77920000`
`st_e28`	`0.0100`	`-30665.53867740`
`st_e30`	`0.0800`	`-1.58113883`
`st_e33`	`0.0300`	`-400.00000000`
`st_e42`	`0.0100`	`18.78420000`
`st_fp1`	`0.0100`	`-17.00000000`
`st_fp4`	`0.0100`	`-11.00000000`
`st_fp5`	`0.0200`	`-268.01463169`
`st_fp6`	`0.0300`	`-39.00000000`
`st_fp7a`	`0.1200`	`-354.75061242`
`st_fp7b`	`0.1100`	`-634.75061242`
`st_fp7c`	`0.1100`	`-8695.01224832`
`st_fp7d`	`0.1500`	`-114.75061242`
`st_fp7e`	`7.5500`	`-3730.41013393`
`st_fp8`	`0.0600`	`15639.00000000`
`st_glmp_fp1`	`0.0000`	`9.99998574`
`st_glmp_fp2`	`0.0000`	`7.34454542`
`st_glmp_fp3`	`0.0000`	`-12.00000000`
`st_glmp_kk90`	`0.0000`	`3.00000000`
`st_glmp_kk92`	`0.0000`	`-12.00000000`
`st_glmp_kky`	`0.0100`	`-2.50000000`
`st_glmp_ss1`	`0.0100`	`-24.57142857`
`st_glmp_ss2`	`0.0000`	`2.99999713`
`st_ht`	`0.0200`	`-1.60000000`
`st_iqpbk1`	`0.3000`	`-621.48782500`
`st_iqpbk2`	`0.3400`	`-1195.22565000`
`st_jcbpaf2`	`0.0200`	`-794.85591401`
`st_jcbpafex`	`0.0000`	`-1.08333333`
`st_kr`	`0.0000`	`-85.00000000`
`st_m1`	`0.0700`	`-461356.93887900`
`st_m2`	`0.2000`	`-856648.81868500`
`st_pan1`	`0.0100`	`-5.28370925`
`st_pan2`	`0.0100`	`-17.00000000`
`st_ph1`	`0.0100`	`-230.11728395`
`st_ph11`	`0.0000`	`-11.28125000`
`st_ph12`	`0.0100`	`-22.62500000`
`st_ph13`	`0.0000`	`-11.28125000`
`st_ph14`	`0.0000`	`-229.72222222`
`st_ph15`	`0.0100`	`-392.70370370`
`st_ph2`	`0.0000`	`-1028.11728395`
`st_ph20`	`0.0100`	`-158.00000000`
`st_ph3`	`0.0100`	`-420.23481985`
`st_phex`	`0.0100`	`-85.00000000`
`st_qpc-m0`	`0.0100`	`-5.00000000`
`st_qpc-m1`	`0.0100`	`-473.77777778`
`st_qpc-m3a`	`0.2100`	`-382.69500000`
`st_qpk1`	`0.0000`	`-3.00000000`
`st_qpk2`	`0.1500`	`-12.25000000`
`st_qpk3`	`3.7000`	`-36.00000000`
`st_rv1`	`0.0200`	`-59.94391660`
`st_rv2`	`0.1500`	`-64.48069510`
`st_rv3`	`0.1000`	`-35.76067064`
`st_rv7`	`0.2000`	`-138.18749713`
`st_rv8`	`0.3500`	`-132.66162896`
`st_rv9`	`27.3300`	`-120.11640294`
`turkey`	`10.9600`	`-29330.15804000`

LaGO: optimal: Back to top

Modelname	Time (LaGO)	Obj (LaGO)
`nemhaus`	`0.0420`	`31.00000000`

LaGO: locally optimal: Back to top

Modelname	Time (LaGO)	Obj (LaGO)
`abel`	`0.1470`	`225.19458319`
`bayes2_10`	`2.5980`	`0.00030565`
`bayes2_20`	`1.5170`	`0.00970679`
`bayes2_30`	`5.2170`	`0.00010752`
`bayes2_50`	`3600.6330`	`0.52020774`
`camshape100`	`3600.2700`	`-4.28414712`
`camshape200`	`3602.6840`	`-4.27850079`
`camshape400`	`3610.5380`	`-4.27568848`
`catmix100`	`3600.2900`	`-0.04806933`
`catmix200`	`3603.4870`	`-0.04805899`
`circle`	`0.1020`	`4.57424779`
`demo7`	`0.5440`	`-1589042.38619811`
`dispatch`	`0.0540`	`3155.28792686`
`ex14_1_6`	`2.3170`	`0.00000000`
`ex2_1_1`	`0.0730`	`-17.00000000`
`ex2_1_10`	`0.2640`	`49318.01795841`
`ex2_1_2`	`0.0380`	`-213.00000000`
`ex2_1_3`	`0.0470`	`-15.00000000`
`ex2_1_4`	`0.0480`	`-11.00000000`
`ex2_1_5`	`0.0810`	`-268.01463154`
`ex2_1_6`	`0.0820`	`-39.00000000`
`ex2_1_7`	`13.3140`	`-4150.41013393`
`ex2_1_8`	`0.3240`	`15639.00000000`
`ex2_1_9`	`3600.3380`	`-0.37500000`
`ex3_1_1`	`3600.2390`	`7049.24802053`
`ex3_1_2`	`0.0590`	`-30665.53867179`
`ex3_1_3`	`0.0520`	`-310.00000000`
`ex3_1_4`	`2.2600`	`-4.00000000`
`ex5_2_2_case1`	`3600.0460`	`-400.00000000`
`ex5_2_2_case2`	`3600.1760`	`-600.00000000`
`ex5_2_2_case3`	`3600.0280`	`-750.00000000`
`ex5_2_4`	`59.9070`	`-450.00000000`
`ex5_2_5`	`3600.4060`	`-3500.00000000`
`ex5_3_2`	`3600.1540`	`1.86415946`
`ex5_4_2`	`3600.2640`	`7512.23014448`
`ex7_3_3`	`95.5140`	`0.81752905`
`ex8_3_2`	`3600.5520`	`-0.41233018`
`ex8_3_3`	`3600.1120`	`-0.41660308`
`ex8_3_4`	`3600.4570`	`-3.57998238`
`ex8_3_5`	`3600.1240`	`-0.06911967`
`ex8_3_8`	`3600.7550`	`-3.25611909`
`ex8_3_9`	`3600.1260`	`-0.76300193`
`ex8_4_1`	`3600.5750`	`0.61857276`
`ex9_1_1`	`0.1080`	`-13.00000000`
`ex9_1_10`	`1.5240`	`-3.25000000`
`ex9_1_2`	`2.6150`	`-16.00000000`
`ex9_1_4`	`2.4720`	`-37.00000000`
`ex9_1_5`	`0.0700`	`-1.00000000`
`ex9_1_8`	`1.5250`	`-3.25000000`
`ex9_2_1`	`0.3210`	`17.00000000`
`ex9_2_2`	`0.1300`	`99.99996939`
`ex9_2_3`	`2.0340`	`0.00000000`
`ex9_2_4`	`1.0820`	`0.50000000`
`ex9_2_5`	`3600.3430`	`5.00000000`
`ex9_2_6`	`142.2150`	`-1.00000000`
`ex9_2_7`	`0.3250`	`17.00000000`
`ex9_2_8`	`0.0430`	`1.50000000`
`haverly`	`3600.1920`	`-400.00000000`
`himmel11`	`0.0670`	`-30665.53867178`
`himmel16`	`3600.4060`	`-0.86602540`
`house`	`2813.4900`	`-4500.00000000`
`hydro`	`0.1800`	`4366944.15975814`
`immun`	`0.2070`	`0.00000000`
`meanvar`	`0.0620`	`5.24339907`
`prob05`	`0.1440`	`0.74178196`
`prob06`	`0.0760`	`1.17712434`
`prolog`	`3600.2510`	`0.00000000`
`qp1`	`1.4170`	`0.00080932`
`qp2`	`0.9580`	`0.00080932`
`qp3`	`3600.3330`	`0.00080932`
`qp4`	`3.1160`	`0.00080932`
`sambal`	`0.0800`	`3.96822036`
`st_bpaf1a`	`8.2830`	`-45.37971014`
`st_bpaf1b`	`1.4280`	`-42.96255760`
`st_bpk1`	`0.0680`	`-13.00000000`
`st_bpk2`	`0.0600`	`-13.00000000`
`st_bpv1`	`0.0430`	`10.00000000`
`st_bpv2`	`0.0570`	`-8.00000000`
`st_bsj2`	`0.0620`	`1.00000000`
`st_bsj3`	`0.0600`	`-86768.55000000`
`st_bsj4`	`0.0760`	`-70262.05000000`
`st_cqpf`	`0.0410`	`-2.75000000`
`st_cqpjk1`	`0.0630`	`-12.44444222`
`st_cqpjk2`	`0.0510`	`-12.50000000`
`st_e01`	`0.0550`	`-6.66666667`
`st_e02`	`0.0600`	`201.15933406`
`st_e05`	`233.3930`	`7049.24927248`
`st_e07`	`1.8420`	`-400.00000000`
`st_e08`	`0.1480`	`0.74178196`
`st_e09`	`0.1540`	`-0.50000000`
`st_e18`	`0.0490`	`-2.82842712`
`st_e22`	`0.0570`	`-85.00000000`
`st_e23`	`0.0700`	`-1.08333333`
`st_e24`	`0.0520`	`3.00000000`
`st_e25`	`0.0610`	`0.89019359`
`st_e26`	`0.0460`	`-185.77920000`
`st_e28`	`0.0630`	`-30665.53867178`
`st_e30`	`55.5070`	`-1.58113883`
`st_e33`	`1.2070`	`-400.00000000`
`st_e34`	`0.0620`	`0.01561953`
`st_e42`	`0.0520`	`18.78420000`
`st_fp1`	`0.0950`	`-17.00000000`
`st_fp2`	`0.0520`	`-213.00000000`
`st_fp3`	`0.0720`	`-15.00000000`
`st_fp4`	`0.0530`	`-11.00000000`
`st_fp5`	`0.0950`	`-268.01463154`
`st_fp6`	`0.1010`	`-39.00000000`
`st_fp7a`	`1.6180`	`-354.75061242`
`st_fp7b`	`1.0800`	`-634.75061242`
`st_fp7c`	`1.5800`	`-8695.01224832`
`st_fp7d`	`2.1800`	`-114.75061242`
`st_fp7e`	`13.6840`	`-3730.41013393`
`st_fp8`	`0.4530`	`15639.00000000`
`st_glmp_fp1`	`0.0630`	`10.00000000`
`st_glmp_fp2`	`0.1290`	`7.34454542`
`st_glmp_fp3`	`0.0610`	`-12.00000000`
`st_glmp_kk90`	`0.0550`	`3.00000000`
`st_glmp_kk92`	`0.0620`	`-12.00000000`
`st_glmp_kky`	`0.2530`	`-2.50000000`
`st_glmp_ss1`	`0.1220`	`-24.57142857`
`st_glmp_ss2`	`0.0620`	`3.00000000`
`st_ht`	`0.0540`	`-1.60000000`
`st_iqpbk1`	`0.6290`	`-621.48782500`
`st_iqpbk2`	`0.3460`	`-1195.22565000`
`st_jcbpaf2`	`89.2410`	`-794.85591398`
`st_jcbpafex`	`0.0690`	`-1.08333333`
`st_kr`	`0.0670`	`-85.00000000`
`st_m1`	`0.8980`	`-461356.93887879`
`st_m2`	`382.2090`	`-856648.81868507`
`st_pan1`	`0.0600`	`-5.28370918`
`st_pan2`	`0.0870`	`-17.00000000`
`st_ph1`	`0.0640`	`-230.11728395`
`st_ph10`	`0.0440`	`-10.50000000`
`st_ph11`	`0.0650`	`-11.28125000`
`st_ph12`	`0.0570`	`-22.62500000`
`st_ph13`	`0.0630`	`-11.28125000`
`st_ph14`	`0.0610`	`-229.72222222`
`st_ph15`	`0.0610`	`-392.70370370`
`st_ph2`	`0.0670`	`-1028.11728395`
`st_ph20`	`0.0550`	`-158.00000000`
`st_ph3`	`0.0670`	`-420.23481985`
`st_phex`	`0.0560`	`-85.00000000`
`st_qpc-m0`	`0.0470`	`-5.00000000`
`st_qpc-m1`	`0.2410`	`-473.77777778`
`st_qpc-m3a`	`3600.2090`	`-382.69500000`
`st_qpc-m3b`	`5.6040`	`0.00000000`
`st_qpc-m3c`	`0.0790`	`0.00000000`
`st_qpc-m4`	`0.1030`	`0.00000000`
`st_qpk1`	`0.0560`	`-3.00000000`
`st_qpk2`	`0.4100`	`-12.25000000`
`st_qpk3`	`11.3020`	`-36.00000000`
`st_robot`	`0.1400`	`0.00000000`
`st_rv1`	`0.0800`	`-59.90434506`
`st_rv2`	`0.3170`	`-64.48069510`
`st_rv3`	`0.7780`	`-35.76067064`
`st_rv7`	`0.9570`	`-138.18749713`
`st_rv8`	`1.4970`	`-132.66162896`
`st_rv9`	`5.8620`	`-120.11640294`
`st_z`	`0.0600`	`0.00000000`
`turkey`	`22.1270`	`-29330.15804003`

LaGO: fail: Back to top

Modelname	Time (LaGO)	Status (LaGO)
`ex5_3_3`	`--`	`mstat(13) sstat(13)`