1. Iteration 1

Reset training subject: 89710830129100

Reset training subject: 90173747759300

Iteration 1

Iteration 1

Adding measurement 288dd042 to history. Total: 0

LBFGS Accumulation History: 1 points

th(0)=10.090655122676658;dx=-1.5781064119233234E-4

New Minimum: 10.090655122676658 > 10.090630294780972

WOLFE (weak): th(2.154434690031884)=10.090630294780972; dx=-1.577540812024702E-4 evalInputDelta=2.4827895686030388E-5

New Minimum: 10.090630294780972 > 10.09060540764282

WOLFE (weak): th(4.308869380063768)=10.09060540764282; dx=-1.57819447929256E-4 evalInputDelta=4.971503383721654E-5

New Minimum: 10.09060540764282 > 10.090506058962395

WOLFE (weak): th(12.926608140191302)=10.090506058962395; dx=-1.5792103594319134E-4 evalInputDelta=1.4906371426270937E-4

New Minimum: 10.090506058962395 > 10.090058426476187

WOLFE (weak): th(51.70643256076521)=10.090058426476187; dx=-1.5799292804778307E-4 evalInputDelta=5.966962004713139E-4

New Minimum: 10.090058426476187 > 10.087660431344476

WOLFE (weak): th(258.53216280382605)=10.087660431344476; dx=-1.5925469938587206E-4 evalInputDelta=0.002994691332181887

New Minimum: 10.087660431344476 > 10.072276069782674

WOLFE (weak): th(1551.1929768229563)=10.072276069782674; dx=-1.655567498250749E-4 evalInputDelta=0.018379052893983783

New Minimum: 10.072276069782674 > 9.946512825994027

WOLFE (weak): th(10858.350837760694)=9.946512825994027; dx=-1.9427481112689466E-4 evalInputDelta=0.1441422966826309

New Minimum: 9.946512825994027 > 9.206086709888446

END: th(86866.80670208555)=9.206086709888446; dx=-9.62775472681134E-5 evalInputDelta=0.8845684127882123

Fitness changed from 10.090655122676658 to 9.206086709888446

Iteration 1 complete. Error: 9.206086709888446 Total: 5497.9004; Orientation: 0.0772; Line Search: 4115.4053

Final threshold in iteration 1: 9.206086709888446 (> -Infinity) after 5498.012s (< 5400.000s)