Execution Time9.10s

Test: mathcore-testLogLExecPolicy (Passed)
Build: master-x86_64-ubuntu18-gcc7-opt-exp-pyroot (sft-ubuntu-1804-3) on 2019-11-13 03:22:20
Repository revision: 30660dce2d9e89e4852dbf83dbd8b2cfcc137eff

Test Timing: Passed
Processors1

Show Command Line
Display graphs:

Test output
////////////////////////////SEQUENTIAL TEST////////////////////////////

Minuit2Minimizer: Minimize with max-calls 1780 convergence for edm < 0.01 strategy 1
MnSeedGenerator: for initial parameters FCN = 734988.2879514
MnSeedGenerator: Initial state:   - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: start iterating until Edm is < 1e-05
VariableMetric: Initial state   - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: Iteration #   0 - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: Iteration #   1 - FCN =   734986.7316647 Edm =     0.173199 NCalls =     45
VariableMetric: Iteration #   2 - FCN =   734986.5989339 Edm =    0.0406143 NCalls =     57
VariableMetric: Iteration #   3 - FCN =   734986.5524224 Edm =   0.00108448 NCalls =     69
VariableMetric: Iteration #   4 - FCN =   734986.5513258 Edm =  1.11024e-05 NCalls =     80
VariableMetric: Iteration #   5 - FCN =   734986.5493772 Edm =  0.000682602 NCalls =     96
VariableMetric: Iteration #   6 - FCN =   734986.5482811 Edm =  6.07274e-07 NCalls =    109
VariableMetric: After Hessian   - FCN =   734986.5482811 Edm =  1.59235e-06 NCalls =    150
VariableMetric: Iteration #   7 - FCN =   734986.5482811 Edm =  1.59235e-06 NCalls =    150
Number of iterations 8
----------> Iteration 0
            FVAL = 734988.287951 Edm = 2.20235367153 Nfcn = 31
            Error matrix change = 1
            Parameters :  p0 = 0.1 p1 = 130 p2 = 2 p3 = 3.5 p4 = 1.5
----------> Iteration 1
            FVAL = 734986.731665 Edm = 0.173199065877 Nfcn = 45
            Error matrix change = 0.576575
            Parameters :  p0 = 0.100224 p1 = 129.992 p2 = 1.97632 p3 = 3.50879 p4 = 1.50345
----------> Iteration 2
            FVAL = 734986.598934 Edm = 0.0406143107178 Nfcn = 57
            Error matrix change = 0.345849
            Parameters :  p0 = 0.100157 p1 = 129.991 p2 = 1.97026 p3 = 3.50446 p4 = 1.50171
----------> Iteration 3
            FVAL = 734986.552422 Edm = 0.00108448349488 Nfcn = 69
            Error matrix change = 0.214659
            Parameters :  p0 = 0.0998555 p1 = 129.992 p2 = 1.96777 p3 = 3.50413 p4 = 1.50157
----------> Iteration 4
            FVAL = 734986.551326 Edm = 1.11024352954e-05 Nfcn = 80
            Error matrix change = 0.127845
            Parameters :  p0 = 0.0998569 p1 = 129.993 p2 = 1.96751 p3 = 3.50408 p4 = 1.50159
----------> Iteration 5
            FVAL = 734986.549377 Edm = 0.000682602075845 Nfcn = 96
            Error matrix change = 0.555781
            Parameters :  p0 = 0.0998451 p1 = 129.992 p2 = 1.96776 p3 = 3.49273 p4 = 1.50591
----------> Iteration 6
            FVAL = 734986.548281 Edm = 6.07273715553e-07 Nfcn = 109
            Error matrix change = 0.342104
            Parameters :  p0 = 0.0998364 p1 = 129.993 p2 = 1.9672 p3 = 3.48665 p4 = 1.50847
----------> Iteration 7
            FVAL = 734986.548281 Edm = 1.5923524913e-06 Nfcn = 150
            Error matrix change = 0
            Parameters :  p0 = 0.0998364 p1 = 129.993 p2 = 1.9672 p3 = 3.48665 p4 = 1.50847
Minuit2Minimizer : Valid minimum - status = 0
FVAL  = 734986.548281101277
Edm   = 1.59235249129869613e-06
Nfcn  = 150
Par_0	  = 0.0998364	 +/-  0.00101629	(limited)
Par_1	  = 1000	 (fixed)
Par_2	  = 129.993	 +/-  0.0217929
Par_3	  = 1.9672	 +/-  0.0205199	(limited)
Par_4	  = 3.48665	 +/-  0.165084	(limited)
Par_5	  = 1.50847	 +/-  0.0651743	(limited)

Time for the sequential test: 3.50366

///////////////////////////////MT TEST////////////////////////////

Minuit2Minimizer: Minimize with max-calls 1780 convergence for edm < 0.01 strategy 1
MnSeedGenerator: for initial parameters FCN = 734988.2879514
MnSeedGenerator: Initial state:   - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: start iterating until Edm is < 1e-05
VariableMetric: Initial state   - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: Iteration #   0 - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: Iteration #   1 - FCN =   734986.7316645 Edm =     0.173199 NCalls =     45
VariableMetric: Iteration #   2 - FCN =   734986.5989339 Edm =    0.0406142 NCalls =     57
VariableMetric: Iteration #   3 - FCN =   734986.5524227 Edm =   0.00108445 NCalls =     69
VariableMetric: Iteration #   4 - FCN =   734986.5513259 Edm =  1.11029e-05 NCalls =     80
VariableMetric: Iteration #   5 - FCN =   734986.5493775 Edm =  0.000682602 NCalls =     96
VariableMetric: Iteration #   6 - FCN =   734986.5482812 Edm =  6.11905e-07 NCalls =    109
VariableMetric: After Hessian   - FCN =   734986.5482812 Edm =  1.54203e-06 NCalls =    150
VariableMetric: Iteration #   7 - FCN =   734986.5482812 Edm =  1.54203e-06 NCalls =    150
Number of iterations 8
----------> Iteration 0
            FVAL = 734988.287951 Edm = 2.20235365848 Nfcn = 31
            Error matrix change = 1
            Parameters :  p0 = 0.1 p1 = 130 p2 = 2 p3 = 3.5 p4 = 1.5
----------> Iteration 1
            FVAL = 734986.731665 Edm = 0.17319905452 Nfcn = 45
            Error matrix change = 0.576575
            Parameters :  p0 = 0.100224 p1 = 129.992 p2 = 1.97632 p3 = 3.50879 p4 = 1.50345
----------> Iteration 2
            FVAL = 734986.598934 Edm = 0.0406142429661 Nfcn = 57
            Error matrix change = 0.345849
            Parameters :  p0 = 0.100157 p1 = 129.991 p2 = 1.97026 p3 = 3.50446 p4 = 1.50171
----------> Iteration 3
            FVAL = 734986.552423 Edm = 0.00108445284115 Nfcn = 69
            Error matrix change = 0.21466
            Parameters :  p0 = 0.0998555 p1 = 129.992 p2 = 1.96777 p3 = 3.50413 p4 = 1.50157
----------> Iteration 4
            FVAL = 734986.551326 Edm = 1.11029095214e-05 Nfcn = 80
            Error matrix change = 0.127846
            Parameters :  p0 = 0.0998569 p1 = 129.993 p2 = 1.96751 p3 = 3.50408 p4 = 1.50159
----------> Iteration 5
            FVAL = 734986.549377 Edm = 0.000682602248228 Nfcn = 96
            Error matrix change = 0.55578
            Parameters :  p0 = 0.099845 p1 = 129.992 p2 = 1.96776 p3 = 3.49273 p4 = 1.50591
----------> Iteration 6
            FVAL = 734986.548281 Edm = 6.11904990263e-07 Nfcn = 109
            Error matrix change = 0.342031
            Parameters :  p0 = 0.0998364 p1 = 129.993 p2 = 1.9672 p3 = 3.48665 p4 = 1.50847
----------> Iteration 7
            FVAL = 734986.548281 Edm = 1.54202733397e-06 Nfcn = 150
            Error matrix change = 0
            Parameters :  p0 = 0.0998364 p1 = 129.993 p2 = 1.9672 p3 = 3.48665 p4 = 1.50847
Minuit2Minimizer : Valid minimum - status = 0
FVAL  = 734986.548281224445
Edm   = 1.54202733397078611e-06
Nfcn  = 150
Par_0	  = 0.0998364	 +/-  0.00101629	(limited)
Par_1	  = 1000	 (fixed)
Par_2	  = 129.993	 +/-  0.0217929
Par_3	  = 1.9672	 +/-  0.0205199	(limited)
Par_4	  = 3.48665	 +/-  0.165094	(limited)
Par_5	  = 1.50847	 +/-  0.0651782	(limited)
Time for the parallel test: 0.990494

////////////////////////////VECTOR TEST////////////////////////////

Minuit2Minimizer: Minimize with max-calls 1780 convergence for edm < 0.01 strategy 1
MnSeedGenerator: for initial parameters FCN = 734988.2879514
MnSeedGenerator: Initial state:   - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: start iterating until Edm is < 1e-05
VariableMetric: Initial state   - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: Iteration #   0 - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: Iteration #   1 - FCN =   734986.7316644 Edm =     0.173199 NCalls =     45
VariableMetric: Iteration #   2 - FCN =   734986.5989341 Edm =    0.0406142 NCalls =     57
VariableMetric: Iteration #   3 - FCN =   734986.5524225 Edm =   0.00108447 NCalls =     69
VariableMetric: Iteration #   4 - FCN =   734986.5513257 Edm =  1.11036e-05 NCalls =     80
VariableMetric: Iteration #   5 - FCN =    734986.549377 Edm =  0.000681437 NCalls =     96
VariableMetric: Iteration #   6 - FCN =   734986.5482811 Edm =  6.24114e-07 NCalls =    109
VariableMetric: After Hessian   - FCN =   734986.5482811 Edm =  1.59934e-06 NCalls =    150
VariableMetric: Iteration #   7 - FCN =   734986.5482811 Edm =  1.59934e-06 NCalls =    150
Number of iterations 8
----------> Iteration 0
            FVAL = 734988.287951 Edm = 2.20235337396 Nfcn = 31
            Error matrix change = 1
            Parameters :  p0 = 0.1 p1 = 130 p2 = 2 p3 = 3.5 p4 = 1.5
----------> Iteration 1
            FVAL = 734986.731664 Edm = 0.17319875193 Nfcn = 45
            Error matrix change = 0.576575
            Parameters :  p0 = 0.100224 p1 = 129.992 p2 = 1.97632 p3 = 3.50879 p4 = 1.50345
----------> Iteration 2
            FVAL = 734986.598934 Edm = 0.040614220421 Nfcn = 57
            Error matrix change = 0.345849
            Parameters :  p0 = 0.100157 p1 = 129.991 p2 = 1.97026 p3 = 3.50446 p4 = 1.50171
----------> Iteration 3
            FVAL = 734986.552422 Edm = 0.00108446524865 Nfcn = 69
            Error matrix change = 0.214659
            Parameters :  p0 = 0.0998555 p1 = 129.992 p2 = 1.96777 p3 = 3.50413 p4 = 1.50157
----------> Iteration 4
            FVAL = 734986.551326 Edm = 1.11035538402e-05 Nfcn = 80
            Error matrix change = 0.127846
            Parameters :  p0 = 0.0998569 p1 = 129.993 p2 = 1.96751 p3 = 3.50408 p4 = 1.50159
----------> Iteration 5
            FVAL = 734986.549377 Edm = 0.000681436624619 Nfcn = 96
            Error matrix change = 0.555781
            Parameters :  p0 = 0.0998451 p1 = 129.992 p2 = 1.96776 p3 = 3.49274 p4 = 1.50591
----------> Iteration 6
            FVAL = 734986.548281 Edm = 6.24113955461e-07 Nfcn = 109
            Error matrix change = 0.342056
            Parameters :  p0 = 0.0998364 p1 = 129.993 p2 = 1.9672 p3 = 3.48664 p4 = 1.50847
----------> Iteration 7
            FVAL = 734986.548281 Edm = 1.5993425505e-06 Nfcn = 150
            Error matrix change = 0
            Parameters :  p0 = 0.0998364 p1 = 129.993 p2 = 1.9672 p3 = 3.48664 p4 = 1.50847
Minuit2Minimizer : Valid minimum - status = 0
FVAL  = 734986.548281059368
Edm   = 1.59934255049775495e-06
Nfcn  = 150
Par_0	  = 0.0998364	 +/-  0.00101629	(limited)
Par_1	  = 1000	 (fixed)
Par_2	  = 129.993	 +/-  0.0217929
Par_3	  = 1.9672	 +/-  0.0205199	(limited)
Par_4	  = 3.48664	 +/-  0.16508	(limited)
Par_5	  = 1.50847	 +/-  0.0651726	(limited)
Time for the vectorized test: 2.47658

///////////////////////////////MT+VEC TEST////////////////////////////

Minuit2Minimizer: Minimize with max-calls 1780 convergence for edm < 0.01 strategy 1
MnSeedGenerator: for initial parameters FCN = 734988.2879514
MnSeedGenerator: Initial state:   - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: start iterating until Edm is < 1e-05
VariableMetric: Initial state   - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: Iteration #   0 - FCN =   734988.2879514 Edm =      2.20235 NCalls =     31
VariableMetric: Iteration #   1 - FCN =   734986.7316648 Edm =     0.173199 NCalls =     45
VariableMetric: Iteration #   2 - FCN =   734986.5989337 Edm =    0.0406144 NCalls =     57
VariableMetric: Iteration #   3 - FCN =   734986.5524223 Edm =   0.00108442 NCalls =     69
VariableMetric: Iteration #   4 - FCN =   734986.5513257 Edm =  1.11035e-05 NCalls =     80
VariableMetric: Iteration #   5 - FCN =   734986.5493778 Edm =  0.000682298 NCalls =     96
VariableMetric: Iteration #   6 - FCN =    734986.548281 Edm =  6.16997e-07 NCalls =    109
VariableMetric: After Hessian   - FCN =    734986.548281 Edm =  1.57836e-06 NCalls =    150
VariableMetric: Iteration #   7 - FCN =    734986.548281 Edm =  1.57836e-06 NCalls =    150
Number of iterations 8
----------> Iteration 0
            FVAL = 734988.287951 Edm = 2.20235381692 Nfcn = 31
            Error matrix change = 1
            Parameters :  p0 = 0.1 p1 = 130 p2 = 2 p3 = 3.5 p4 = 1.5
----------> Iteration 1
            FVAL = 734986.731665 Edm = 0.173199020668 Nfcn = 45
            Error matrix change = 0.576575
            Parameters :  p0 = 0.100224 p1 = 129.992 p2 = 1.97632 p3 = 3.50879 p4 = 1.50345
----------> Iteration 2
            FVAL = 734986.598934 Edm = 0.0406144281049 Nfcn = 57
            Error matrix change = 0.345849
            Parameters :  p0 = 0.100157 p1 = 129.991 p2 = 1.97026 p3 = 3.50446 p4 = 1.50171
----------> Iteration 3
            FVAL = 734986.552422 Edm = 0.00108442475136 Nfcn = 69
            Error matrix change = 0.214659
            Parameters :  p0 = 0.0998555 p1 = 129.992 p2 = 1.96777 p3 = 3.50413 p4 = 1.50157
----------> Iteration 4
            FVAL = 734986.551326 Edm = 1.11035462202e-05 Nfcn = 80
            Error matrix change = 0.127847
            Parameters :  p0 = 0.0998569 p1 = 129.993 p2 = 1.96751 p3 = 3.50408 p4 = 1.50159
----------> Iteration 5
            FVAL = 734986.549378 Edm = 0.000682297782421 Nfcn = 96
            Error matrix change = 0.555777
            Parameters :  p0 = 0.099845 p1 = 129.992 p2 = 1.96776 p3 = 3.49274 p4 = 1.50591
----------> Iteration 6
            FVAL = 734986.548281 Edm = 6.16996683238e-07 Nfcn = 109
            Error matrix change = 0.342161
            Parameters :  p0 = 0.0998364 p1 = 129.993 p2 = 1.9672 p3 = 3.48665 p4 = 1.50847
----------> Iteration 7
            FVAL = 734986.548281 Edm = 1.57835630978e-06 Nfcn = 150
            Error matrix change = 0
            Parameters :  p0 = 0.0998364 p1 = 129.993 p2 = 1.9672 p3 = 3.48665 p4 = 1.50847
Minuit2Minimizer : Valid minimum - status = 0
FVAL  = 734986.548281032126
Edm   = 1.57835630978293141e-06
Nfcn  = 150
Par_0	  = 0.0998364	 +/-  0.00101628	(limited)
Par_1	  = 1000	 (fixed)
Par_2	  = 129.993	 +/-  0.0217929
Par_3	  = 1.9672	 +/-  0.0205198	(limited)
Par_4	  = 3.48665	 +/-  0.165063	(limited)
Par_5	  = 1.50847	 +/-  0.0651661	(limited)
Time for the parallel+vectorized test: 0.654723