# Number of parameters = 4  Objective function value = -3.37978  Maximum gradient component = 1.95145e-06
# N0:
 0.516109
# q:
 0.475306
# logs:
-0.922473038606
# M:
0.229629359685
 

# Number of parameters = 5  Objective function value = -7.88727  Maximum gradient component = 3.20101e-06
# N0:
 0.513446 0.298678
# q:
 0.452489
# logs:
-1.02581794259
# M:
0.227541762701
 

# Number of parameters = 6  Objective function value = -12.6473  Maximum gradient component = 3.05992e-05
# N0:
 0.509808 0.297279 0.250449
# q:
 0.414260
# logs:
-1.07487783663
# M:
0.224407491868
 

# Number of parameters = 7  Objective function value = -20.4626  Maximum gradient component = 0.000311131
# N0:
 0.504020 0.294245 0.247969 0.484308
# q:
 0.417562
# logs:
-1.20560858664
# M:
0.220722003756
 

# Number of parameters = 4  Objective function value = -4.93278  Maximum gradient component = 6.89035e-06
# N0:
 0.289033
# q:
 0.432621
# logs:
-1.20468309469
# M:
0.214608667980
 

# Number of parameters = 5  Objective function value = -10.7519  Maximum gradient component = 0.000181244
# N0:
 0.286587 0.241295
# q:
 0.387224
# logs:
-1.26799574237
# M:
0.209539869492
 

# Number of parameters = 6  Objective function value = -19.7971  Maximum gradient component = 5.18349e-05
# N0:
 0.293470 0.247051 0.483911
# q:
 0.392993
# logs:
-1.44271797754
# M:
0.218665452260
 

# Number of parameters = 7  Objective function value = -22.5567  Maximum gradient component = 3.07576e-05
# N0:
 0.371853 0.311810 0.615438 0.769912
# q:
 0.365359
# logs:
-1.30559636690
# M:
0.302854166936
 

# Number of parameters = 4  Objective function value = -6.96424  Maximum gradient component = 2.89220e-05
# N0:
 0.243818
# q:
 0.341766
# logs:
-1.49489079550
# M:
0.211927949874
 

# Number of parameters = 5  Objective function value = -16.5870  Maximum gradient component = 7.50474e-05
# N0:
 0.268437 0.529506
# q:
 0.353662
# logs:
-1.68478868950
# M:
0.248314995512
 

# Number of parameters = 6  Objective function value = -18.1745  Maximum gradient component = 2.66569e-05
# N0:
 0.401105 0.812412 1.04852
# q:
 0.296806
# logs:
-1.36545147740
# M:
0.384113190246
 

# Number of parameters = 7  Objective function value = -21.8712  Maximum gradient component = 6.70988e-06
# N0:
 0.281835 0.552476 0.683516 0.566695
# q:
 0.396672
# logs:
-1.28111344656
# M:
0.267739682105
 

# Number of parameters = 4  Objective function value = -14.9417  Maximum gradient component = 0.000156633
# N0:
 0.443256
# q:
 0.446373
# logs:
-2.63452610841
# M:
0.188376555429
 

# Number of parameters = 5  Objective function value = -13.6729  Maximum gradient component = 2.55368e-05
# N0:
 0.645252 0.809032
# q:
 0.398800
# logs:
-1.47663242459
# M:
0.322592116138
 

# Number of parameters = 6  Objective function value = -17.8498  Maximum gradient component = 1.24022e-05
# N0:
 0.433931 0.524806 0.413599
# q:
 0.514941
# logs:
-1.34998941565
# M:
0.182910597292
 

# Number of parameters = 7  Objective function value = -25.7355  Maximum gradient component = 0.000543041
# N0:
 0.406884 0.489518 0.380431 0.442819
# q:
 0.539011
# logs:
-1.41912547614
# M:
0.157823692174