petsc-3.6.1 2015-08-06iter = 0, Function value: 1, Residual: 2 iter = 0, Function value: 0.770447, Residual: 5.24792 iter = 1, Function value: 0.526409, Residual: 3.62426 iter = 2, Function value: 0.357435, Residual: 5.6789 iter = 3, Function value: 0.213476, Residual: 2.12473 iter = 4, Function value: 0.15103, Residual: 8.35263 iter = 5, Function value: 0.0602938, Residual: 0.498513 iter = 6, Function value: 0.0331258, Residual: 2.4877 iter = 7, Function value: 0.0119116, Residual: 1.77389 iter = 8, Function value: 0.00292613, Residual: 1.00799 iter = 9, Function value: 0.000357205, Residual: 0.409411 iter = 10, Function value: 1.02563e-05, Residual: 0.0746257 iter = 11, Function value: 1.26232e-08, Residual: 0.00275403 iter = 12, Function value: 2.09587e-14, Residual: 3.46652e-06 Tao Object: 1 MPI processes type: nls Rejected matrix updates: 0 Newton steps: 12 BFGS steps: 0 Scaled gradient steps: 0 Gradient steps: 0 nls ksp atol: 0 nls ksp rtol: 12 nls ksp ctol: 0 nls ksp negc: 0 nls ksp dtol: 0 nls ksp iter: 0 nls ksp othr: 0 TaoLineSearch Object: 1 MPI processes type: more-thuente KSP Object: 1 MPI processes type: stcg total KSP iterations: 24 convergence tolerances: fatol=1e-10, frtol=1e-10 convergence tolerances: gatol=1e-08, steptol=0, gttol=0 Residual in Function/Gradient:=3.46652e-06 Objective value=2.09587e-14 total number of iterations=12, (max: 50) total number of function/gradient evaluations=20, (max: 4000) total number of Hessian evaluations=13 Solution converged: estimated f(x)-f(X*) <= fatol