Reset training subject: 1019786156924 Reset training subject: 1020304780358 Adding measurement 10ef3ccf to history. Total: 0 LBFGS Accumulation History: 1 points Constructing line search parameters: GD+Trust th(0)=0.9171986708779798;dx=-5.573743555080293E-9 Armijo: th(2.154434690031884)=0.9171986708779798; dx=-5.573742151074105E-9 evalInputDelta=0.0 Armijo: th(1.077217345015942)=0.9171986708779798; dx=-5.573742196756276E-9 evalInputDelta=0.0 Armijo: th(0.3590724483386473)=0.9171986708779798; dx=-5.573742226671482E-9 evalInputDelta=0.0 Armijo: th(0.08976811208466183)=0.9171986708779798; dx=-5.57374355159303E-9 evalInputDelta=0.0 Armijo: th(0.017953622416932366)=0.9171986708779798; dx=-5.573743554699676E-9 evalInputDelta=0.0 WOLFE (weak): th(0.002992270402822061)=0.9171986708779798; dx=-5.573743554924312E-9 evalInputDelta=0.0 Armijo: th(0.010472946409877214)=0.9171986708779798; dx=-5.57374355502692E-9 evalInputDelta=0.0 WOLFE (weak): th(0.006732608406349637)=0.9171986708779798; dx=-5.573743555027853E-9 evalInputDelta=0.0 WOLFE (weak): th(0.008602777408113426)=0.9171986708779798; dx=-5.5737435549130675E-9 evalInputDelta=0.0 WOLFE (weak): th(0.00953786190899532)=0.9171986708779798; dx=-5.573743554999982E-9 evalInputDelta=0.0 Armijo: th(0.010005404159436267)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 WOLFE (weak): th(0.009771633034215793)=0.9171986708779798; dx=-5.5737435550537486E-9 evalInputDelta=0.0 WOLFE (weak): th(0.00988851859682603)=0.9171986708779798; dx=-5.573743555040722E-9 evalInputDelta=0.0 WOLFE (weak): th(0.009946961378131149)=0.9171986708779798; dx=-5.573743555040722E-9 evalInputDelta=0.0 Armijo: th(0.009976182768783707)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 Armijo: th(0.009961572073457428)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 WOLFE (weak): th(0.009954266725794289)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 WOLFE (weak): th(0.00995791939962586)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 Armijo: th(0.009959745736541643)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 WOLFE (weak): th(0.009958832568083751)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 WOLFE (weak): th(0.009959289152312697)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 Armijo: th(0.00995951744442717)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 Armijo: th(0.009959403298369933)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 WOLFE (weak): th(0.009959346225341316)=0.9171986708779798; dx=-5.5737435550297546E-9 evalInputDelta=0.0 mu ~= nu (0.009959346225341316): th(0.0)=0.9171986708779798 Fitness changed from 0.9171986708779798 to 0.9171986708779798 Static Iteration Total: 20.5540; Orientation: 0.0660; Line Search: 18.9530 Iteration 1 failed. Error: 0.9171986708779798 Previous Error: 0.0 -> 0.9171986708779798 Retrying iteration 1 Reset training subject: 1040340330046 Adding measurement 1d04c81b to history. Total: 0 LBFGS Accumulation History: 1 points th(0)=0.9171986708779798;dx=-5.573743555080293E-9 WOLFE (weak): th(0.021456822477969786)=0.9171986708779798; dx=-5.573743554621649E-9 evalInputDelta=0.0 WOLFE (weak): th(0.04291364495593957)=0.9171986708779798; dx=-5.5737435536874555E-9 evalInputDelta=0.0 Armijo: th(0.1287409348678187)=0.9171986708779798; dx=-5.573743587071597E-9 evalInputDelta=0.0 Armijo: th(0.08582728991187914)=0.9171986708779798; dx=-5.573743552070244E-9 evalInputDelta=0.0 Armijo: th(0.06437046743390935)=0.9171986708779798; dx=-5.573743552715254E-9 evalInputDelta=0.0 Armijo: th(0.05364205619492446)=0.9171986708779798; dx=-5.573743553458397E-9 evalInputDelta=0.0 WOLFE (weak): th(0.04827785057543202)=0.9171986708779798; dx=-5.573743553614351E-9 evalInputDelta=0.0 Armijo: th(0.05095995338517824)=0.9171986708779798; dx=-5.573743553429205E-9 evalInputDelta=0.0 WOLFE (weak): th(0.04961890198030513)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 Armijo: th(0.05028942768274168)=0.9171986708779798; dx=-5.5737435535053335E-9 evalInputDelta=0.0 Armijo: th(0.0499541648315234)=0.9171986708779798; dx=-5.57374355357629E-9 evalInputDelta=0.0 WOLFE (weak): th(0.04978653340591427)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 Armijo: th(0.049870349118718835)=0.9171986708779798; dx=-5.5737435536184835E-9 evalInputDelta=0.0 Armijo: th(0.04982844126231655)=0.9171986708779798; dx=-5.5737435536184835E-9 evalInputDelta=0.0 Armijo: th(0.04980748733411541)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 Armijo: th(0.04979701037001484)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 WOLFE (weak): th(0.049791771887964555)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 WOLFE (weak): th(0.0497943911289897)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 WOLFE (weak): th(0.04979570074950227)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 WOLFE (weak): th(0.04979635555975856)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 WOLFE (weak): th(0.0497966829648867)=0.9171986708779798; dx=-5.573743553645273E-9 evalInputDelta=0.0 mu ~= nu (0.0497966829648867): th(0.0)=0.9171986708779798 Fitness changed from 0.9171986708779798 to 0.9171986708779798 Static Iteration Total: 17.0925; Orientation: 0.0666; Line Search: 16.0026 Iteration 2 failed. Error: 0.9171986708779798 Previous Error: 0.0 -> 0.9171986708779798 Optimization terminated 2 Final threshold in iteration 2: 0.9171986708779798 (> -Infinity) after 37.647s (< 3600.000s)