***** enters -qn code- (without bound cstr) dimension= 2, epsg= 2.220446049250313E-016, verbosity level: imp= 10 max number of iterations allowed: iter= 100 max number of calls to costf allowed: nap= 100 ------------------------------------------------ iter num 1, nb calls= 1, f= 52.00 linear search: initial derivative=-78.23 step length=0.1000E-01, df=-7.456 , derivative=-70.45 step length=0.1000 , df=-39.44 , derivative=-.4248 iter num 2, nb calls= 3, f= 12.56 linear search: initial derivative=-5.538 step length= 1.000 , df=-2.425 , derivative=-1.254 iter num 3, nb calls= 4, f= 10.13 linear search: initial derivative=-1.255 step length= 1.000 , df=-.1312 , derivative=-.1643E-06 iter num 4, nb calls= 5, f= 10.00 linear search: initial derivative=-.2148E-04 step length= 1.000 , df=-.2959E-11, derivative=-.3695E-08 iter num 5, nb calls= 6, f= 10.00 linear search: initial derivative=-.3687E-08 step length= 1.000 , df=0.0000E+00, derivative=-.3669E-18 step length=0.3333 , df=0.0000E+00, derivative=-.2458E-08 step length=0.8091E-01, df=0.0000E+00, derivative=-.3389E-08 step length=0.1766E-01, df=0.0000E+00, derivative=-.3622E-08 step length=0.3758E-02, df=0.0000E+00, derivative=-.3673E-08 step length=0.7954E-03, df=0.0000E+00, derivative=-.3684E-08 step length=0.1681E-03, df=0.0000E+00, derivative=-.3686E-08 step length=0.3553E-04, df=0.0000E+00, derivative=-.3687E-08 step length=0.7509E-05, df=0.0000E+00, derivative=-.3687E-08 step length=0.1587E-05, df=0.0000E+00, derivative=-.3687E-08 step length=0.3354E-06, df=0.0000E+00, derivative=-.3687E-08 iter num 6, nb calls= 17, f= 10.00 linear search: initial derivative=-.3701E-17 step length= 1.000 , df=0.0000E+00, derivative=-.4843E-24 iter num 7, nb calls= 18, f= 10.00 linear search: initial derivative=-.4843E-24 step length= 1.000 , df=0.0000E+00, derivative=-.6339E-31 iter num 8, nb calls= 19, f= 10.00 linear search: initial derivative=-.6339E-31 step length= 1.000 , df=0.0000E+00, derivative=-.8296E-38 iter num 9, nb calls= 20, f= 10.00 linear search: initial derivative=-.8296E-38 step length= 1.000 , df=0.0000E+00, derivative=-.1086E-44 iter num 10, nb calls= 21, f= 10.00 linear search: initial derivative=-.1086E-44 step length= 1.000 , df=0.0000E+00, derivative=-.1421E-51 iter num 11, nb calls= 22, f= 10.00 linear search: initial derivative=-.1421E-51 step length= 1.000 , df=0.0000E+00, derivative=-.1860E-58 iter num 12, nb calls= 23, f= 10.00 linear search: initial derivative=-.1860E-58 step length= 1.000 , df=0.0000E+00, derivative=-.2434E-65 iter num 13, nb calls= 24, f= 10.00 linear search: initial derivative=-.2434E-65 step length= 1.000 , df=0.0000E+00, derivative=-.3186E-72 iter num 14, nb calls= 25, f= 10.00 linear search: initial derivative=-.3186E-72 step length= 1.000 , df=0.0000E+00, derivative=-.4169E-79 iter num 15, nb calls= 26, f= 10.00 linear search: initial derivative=-.4169E-79 step length= 1.000 , df=0.0000E+00, derivative=-.5457E-86 iter num 16, nb calls= 27, f= 10.00 linear search: initial derivative=-.5457E-86 step length= 1.000 , df=0.0000E+00, derivative=-.7141E-93 iter num 17, nb calls= 28, f= 10.00 linear search: initial derivative=-.7141E-93 step length= 1.000 , df=0.0000E+00, derivative=-.9347-100 iter num 18, nb calls= 29, f= 10.00 linear search: initial derivative=-.9347-100 step length= 1.000 , df=0.0000E+00, derivative=-.1223-106 iter num 19, nb calls= 30, f= 10.00 linear search: initial derivative=-.1223-106 step length= 1.000 , df=0.0000E+00, derivative=-.1601-113 iter num 20, nb calls= 31, f= 10.00 linear search: initial derivative=-.1601-113 step length= 1.000 , df=0.0000E+00, derivative=-.2095-120 iter num 21, nb calls= 32, f= 10.00 linear search: initial derivative=-.2095-120 step length= 1.000 , df=0.0000E+00, derivative=-.2742-127 iter num 22, nb calls= 33, f= 10.00 linear search: initial derivative=-.2742-127 step length= 1.000 , df=0.0000E+00, derivative=-.3589-134 iter num 23, nb calls= 34, f= 10.00 linear search: initial derivative=-.3589-134 step length= 1.000 , df=0.0000E+00, derivative=-.4697-141 iter num 24, nb calls= 35, f= 10.00 linear search: initial derivative=-.4697-141 step length= 1.000 , df=0.0000E+00, derivative=-.6148-148 iter num 25, nb calls= 36, f= 10.00 linear search: initial derivative=-.6148-148 step length= 1.000 , df=0.0000E+00, derivative=-.8046-155 iter num 26, nb calls= 37, f= 10.00 linear search: initial derivative=-.8046-155 step length= 1.000 , df=0.0000E+00, derivative=-.1053-161 iter num 27, nb calls= 38, f= 10.00 linear search: initial derivative=0.0000E+00 step length= 1.000 , df=0.0000E+00, derivative=0.0000E+00 iter num 27, nb calls= 39, f= 10.00 ***** leaves -qn code-, gradient norm= 0.000000000000000E+000 ***** enters -qn code- (without bound cstr) dimension= 2, epsg= 2.220446049250313E-016, verbosity level: imp= 9 max number of iterations allowed: iter= 100 max number of calls to costf allowed: nap= 100 ------------------------------------------------ iter num 1, nb calls= 1, f= 52.00 linear search: initial derivative=-78.23 step length=0.1000E-01, df=-7.456 , derivative=-70.45 step length=0.1000 , df=-39.44 , derivative=-.4248 iter num 2, nb calls= 3, f= 12.56 linear search: initial derivative=-5.538 step length= 1.000 , df=-2.425 , derivative=-1.254 iter num 3, nb calls= 4, f= 10.13 linear search: initial derivative=-1.255 step length= 1.000 , df=-.1312 , derivative=-.1643E-06 iter num 4, nb calls= 5, f= 10.00 linear search: initial derivative=-.2148E-04 step length= 1.000 , df=-.2959E-11, derivative=-.3695E-08 iter num 5, nb calls= 6, f= 10.00 linear search: initial derivative=-.3687E-08 step length= 1.000 , df=0.0000E+00, derivative=-.3669E-18 step length=0.3333 , df=0.0000E+00, derivative=-.2458E-08 step length=0.8091E-01, df=0.0000E+00, derivative=-.3389E-08 step length=0.1766E-01, df=0.0000E+00, derivative=-.3622E-08 step length=0.3758E-02, df=0.0000E+00, derivative=-.3673E-08 step length=0.7954E-03, df=0.0000E+00, derivative=-.3684E-08 step length=0.1681E-03, df=0.0000E+00, derivative=-.3686E-08 step length=0.3553E-04, df=0.0000E+00, derivative=-.3687E-08 step length=0.7509E-05, df=0.0000E+00, derivative=-.3687E-08 step length=0.1587E-05, df=0.0000E+00, derivative=-.3687E-08 step length=0.3354E-06, df=0.0000E+00, derivative=-.3687E-08 iter num 6, nb calls= 17, f= 10.00 linear search: initial derivative=-.3701E-17 step length= 1.000 , df=0.0000E+00, derivative=-.4843E-24 iter num 7, nb calls= 18, f= 10.00 linear search: initial derivative=-.4843E-24 step length= 1.000 , df=0.0000E+00, derivative=-.6339E-31 iter num 8, nb calls= 19, f= 10.00 linear search: initial derivative=-.6339E-31 step length= 1.000 , df=0.0000E+00, derivative=-.8296E-38 iter num 9, nb calls= 20, f= 10.00 linear search: initial derivative=-.8296E-38 step length= 1.000 , df=0.0000E+00, derivative=-.1086E-44 iter num 10, nb calls= 21, f= 10.00 linear search: initial derivative=-.1086E-44 step length= 1.000 , df=0.0000E+00, derivative=-.1421E-51 iter num 11, nb calls= 22, f= 10.00 linear search: initial derivative=-.1421E-51 step length= 1.000 , df=0.0000E+00, derivative=-.1860E-58 iter num 12, nb calls= 23, f= 10.00 linear search: initial derivative=-.1860E-58 step length= 1.000 , df=0.0000E+00, derivative=-.2434E-65 iter num 13, nb calls= 24, f= 10.00 linear search: initial derivative=-.2434E-65 step length= 1.000 , df=0.0000E+00, derivative=-.3186E-72 iter num 14, nb calls= 25, f= 10.00 linear search: initial derivative=-.3186E-72 step length= 1.000 , df=0.0000E+00, derivative=-.4169E-79 iter num 15, nb calls= 26, f= 10.00 linear search: initial derivative=-.4169E-79 step length= 1.000 , df=0.0000E+00, derivative=-.5457E-86 iter num 16, nb calls= 27, f= 10.00 linear search: initial derivative=-.5457E-86 step length= 1.000 , df=0.0000E+00, derivative=-.7141E-93 iter num 17, nb calls= 28, f= 10.00 linear search: initial derivative=-.7141E-93 step length= 1.000 , df=0.0000E+00, derivative=-.9347-100 iter num 18, nb calls= 29, f= 10.00 linear search: initial derivative=-.9347-100 step length= 1.000 , df=0.0000E+00, derivative=-.1223-106 iter num 19, nb calls= 30, f= 10.00 linear search: initial derivative=-.1223-106 step length= 1.000 , df=0.0000E+00, derivative=-.1601-113 iter num 20, nb calls= 31, f= 10.00 linear search: initial derivative=-.1601-113 step length= 1.000 , df=0.0000E+00, derivative=-.2095-120 iter num 21, nb calls= 32, f= 10.00 linear search: initial derivative=-.2095-120 step length= 1.000 , df=0.0000E+00, derivative=-.2742-127 iter num 22, nb calls= 33, f= 10.00 linear search: initial derivative=-.2742-127 step length= 1.000 , df=0.0000E+00, derivative=-.3589-134 iter num 23, nb calls= 34, f= 10.00 linear search: initial derivative=-.3589-134 step length= 1.000 , df=0.0000E+00, derivative=-.4697-141 iter num 24, nb calls= 35, f= 10.00 linear search: initial derivative=-.4697-141 step length= 1.000 , df=0.0000E+00, derivative=-.6148-148 iter num 25, nb calls= 36, f= 10.00 linear search: initial derivative=-.6148-148 step length= 1.000 , df=0.0000E+00, derivative=-.8046-155 iter num 26, nb calls= 37, f= 10.00 linear search: initial derivative=-.8046-155 step length= 1.000 , df=0.0000E+00, derivative=-.1053-161 iter num 27, nb calls= 38, f= 10.00 linear search: initial derivative=0.0000E+00 step length= 1.000 , df=0.0000E+00, derivative=0.0000E+00 iter num 27, nb calls= 39, f= 10.00 ***** leaves -qn code-, gradient norm= 0.000000000000000E+000