AdmArwiki

# Number of parameters = 4  Objective function value = -9.26798  Maximum gradient component = 8.74191e-05
# N0:
 0.763329
# q:
 0.387439
# logs:
-0.810980000000
# M:
0.349833634676
# logscc:
-5.00000000000
# ce:
 0.000463245644084 0.00393578197997 0.00887292826072 0.00885739583861 0.00667918431789 0.0100033000971 0.00945231898754 -0.000168597280002 0.00303462305674 0.00000000000 0.00000000000 

# Number of parameters = 5  Objective function value = -13.0029  Maximum gradient component = 7.36375e-06
# N0:
 0.598603 0.350230
# q:
 0.382811
# logs:
-0.810980000000
# M:
0.275039821748
# logscc:
-5.00000000000
# ce:
 0.00123973632575 0.0105236663429 0.0249001774166 0.0300173062994 0.0186210368629 0.0178146765705 0.0130779498448 0.00106923325509 0.00343107662846 0.00000000000 0.00000000000 0.000517383620656 0.00335648073123 0.00860202246257 0.00722742502889 0.00310244257253 0.00574386867140 -0.00285865545795 -0.00238956406543 -0.00420751508381 0.00000000000 

# Number of parameters = 6  Objective function value = -23.4151  Maximum gradient component = 8.52905e-05
# N0:
 0.604060 0.353597 0.292895
# q:
 0.341562
# logs:
-0.719250000000
# M:
0.277381327936
# logscc:
-5.00000000000
# ce:
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# Number of parameters = 7  Objective function value = -29.9309  Maximum gradient component = 0.000388797
# N0:
 0.546794 0.322344 0.267767 0.502918
# q:
 0.380751
# logs:
-0.719250000000
# M:
0.246164740495
# logscc:
-5.00000000000
# ce:
 0.00159728455968 0.0133145086106 0.0312783708477 0.0382101846318 0.0223879782609 0.0189009923141 0.0125581170204 0.00141478133805 0.00298928845135 0.00000000000 0.00000000000 0.000683096349006 0.00467216523143 0.0128846992701 0.0103654036082 0.00487235830948 0.00628015189304 -0.00182747145506 -0.00168159937923 -0.00335966217196 0.00000000000 0.00133698254230 0.00712347999647 0.0113850528103 0.00449022083124 0.00435813966449 -0.00113132802512 -0.00159770993387 -0.00112781655549 -0.00296197407408 0.00559627627885 0.0503516444628 0.0635019750676 0.0424864751989 0.0269438971586 0.0198524491031 0.0103147595742 0.0185805284382 

# Number of parameters = 4  Objective function value = -5.20959  Maximum gradient component = 0.00167095
# N0:
 0.268856
# q:
 0.380030
# logs:
-0.719250000000
# M:
0.180856065464
# logscc:
-5.00000000000
# ce:
 0.00161436836958 0.0110932371287 0.0309217069072 0.0228203843673 0.0107739747254 0.00972689382430 -0.000698456462870 -0.00108005389038 -0.00312163618719 0.00000000000 

# Number of parameters = 5  Objective function value = -15.5602  Maximum gradient component = 1.98915e-05
# N0:
 0.303892 0.252872
# q:
 0.325866
# logs:
-0.719250000000
# M:
0.224237264247
# logscc:
-5.00000000000
# ce:
 0.000675289152544 0.00481519457068 0.0140112831361 0.0122290719745 0.00686138577155 0.00843883198676 -0.000280025054944 -0.000754127074964 -0.00263159225052 0.00000000000 0.00124613680840 0.00687538706171 0.0116602868810 0.00564150717855 0.00608885542948 0.000865250761740 0.000149370629991 -0.000136876607726 -0.00184156366061 

# Number of parameters = 6  Objective function value = -21.5822  Maximum gradient component = 0.00141035
# N0:
 0.286340 0.238823 0.451056
# q:
 0.378669
# logs:
-0.719250000000
# M:
0.203865997117
# logscc:
-5.00000000000
# ce:
 0.00120237295874 0.00832454465240 0.0233608581941 0.0177880416598 0.00850171334624 0.00848452414935 -0.00106829275612 -0.00126866914822 -0.00318262065604 0.00000000000 0.00246883534234 0.0135442794769 0.0217161963542 0.0122949711729 0.00855340747398 0.00110117314490 -0.000401622998555 -0.000577658387221 -0.00251484060760 0.00865090322303 0.0745841229484 0.0918903635776 0.0588330892595 0.0358383988268 0.0249783123998 0.0119314095424 0.0196328130701 

# Number of parameters = 7  Objective function value = -19.8909  Maximum gradient component = 586.460
# N0:
 0.351512 0.263026 0.640471 1.04376
# q:
 0.352639
# logs:
-0.719250000000
# M:
0.496725189638
# logscc:
0.496819003062
# ce:
 -0.00179979403702 -0.0242675955534 -0.0393024399108 0.249582723125 0.162511335633 1.08795455914 -0.0655065044514 -0.0637420060352 -0.151817662912 0.00000000000 0.00179742399830 -0.00247622867888 0.171766068940 -0.0275785164823 0.757244606582 0.189591301082 0.176971959361 0.0488294626107 -0.0671401635331 0.0120570913475 0.338742372985 0.187416329015 0.435697310707 0.403613290774 0.533777132551 0.128387059732 1.48477877500 0.0521694717246 0.121290233127 0.526728182922 0.360762467401 0.559060401673 0.587023606658 0.605791765770 

# Number of parameters = 4  Objective function value = -12.9339  Maximum gradient component = 6.76693e-05
# N0:
 0.331565
# q:
 0.253058
# logs:
-1.28460000000
# M:
0.316295505459
# logscc:
-5.00000000000
# ce:
 0.000399164330439 0.00162783870381 0.00508993280607 -0.00291342894178 0.00967261728734 0.00151503437358 0.00121384440714 9.61003071729e-05 -0.00403332320010 

# Number of parameters = 4  Objective function value = -12.9339  Maximum gradient component = 6.76693e-05
# N0:
 0.331565
# q:
 0.253058
# logs:
-1.28460000000
# M:
0.316295505459
# logscc:
-5.00000000000
# ce:
 0.000399164330439 0.00162783870381 0.00508993280607 -0.00291342894178 0.00967261728734 0.00151503437358 0.00121384440714 9.61003071729e-05 -0.00403332320010 

# Number of parameters = 6  Objective function value = 185.476  Maximum gradient component = 3887.94
# N0:
 11.2970 3.03344 1.91685
# q:
 0.100666
# logs:
-1.28460000000
# M:
0.0999791511835
# logscc:
0.100466717690
# ce:
 0.0101869692276 5.62095995334 1.50582117835 0.167179050588 2.19155293921 0.956551938997 1.64107340449 0.503183526742 0.0664520745438 0.0168664636920 3.47687758067 0.124942257910 1.77232814168 1.30365002187 1.98423854969 0.270970831635 2.82066088195 0.0862338305325 0.123350988031 2.74286781935 0.465752486362 1.91165127476 0.636720986778 2.82424621406 

# Number of parameters = 7  Objective function value = -24.8206  Maximum gradient component = 9.78417e-05
# N0:
 0.233642 0.531295 0.793692 0.677581
# q:
 0.380934
# logs:
-1.28460000000
# M:
0.500000000000
# logscc:
0.739002808812
# ce:
 -0.00362255304172 -0.0406794670866 0.305358359836 -0.134852845706 1.14431748582 0.302855648204 0.649493257403 0.108231731344 -0.0998705748297 0.000458407068663 0.547096088053 -0.0137991406527 0.632949609228 0.482908119768 0.937461888313 0.0666854466615 1.58078353547 0.0463176593967 0.0111436065357 0.346691580113 0.253599588310 0.384074670280 0.295020620414 1.58442995661 -0.00998283170770 -0.0632215609240 -0.187724618203 -0.234256899554 0.119209321178 0.596132794199 

# Number of parameters = 4  Objective function value = -5.33070  Maximum gradient component = 0.00775457
# N0:
 0.449594
# q:
 0.495071
# logs:
-1.28460000000
# M:
0.499999999999
# logscc:
0.397915203644
# ce:
 -0.0189907879988 0.127237869291 -0.404560533793 -0.0773459128574 0.0441647448246 0.225838216985 0.0678536389757 1.24873896264 

# Number of parameters = 4  Objective function value = -5.33070  Maximum gradient component = 0.00775457
# N0:
 0.449594
# q:
 0.495071
# logs:
-1.28460000000
# M:
0.499999999999
# logscc:
0.397915203644
# ce:
 -0.0189907879988 0.127237869291 -0.404560533793 -0.0773459128574 0.0441647448246 0.225838216985 0.0678536389757 1.24873896264 

# Number of parameters = 4  Objective function value = -5.33070  Maximum gradient component = 0.00775457
# N0:
 0.449594
# q:
 0.495071
# logs:
-1.28460000000
# M:
0.499999999999
# logscc:
0.397915203644
# ce:
 -0.0189907879988 0.127237869291 -0.404560533793 -0.0773459128574 0.0441647448246 0.225838216985 0.0678536389757 1.24873896264 

# Number of parameters = 4  Objective function value = -5.33070  Maximum gradient component = 0.00775457
# N0:
 0.449594
# q:
 0.495071
# logs:
-1.28460000000
# M:
0.499999999999
# logscc:
0.397915203644
# ce:
 -0.0189907879988 0.127237869291 -0.404560533793 -0.0773459128574 0.0441647448246 0.225838216985 0.0678536389757 1.24873896264