1 0 TAO, Function value: 0.153666, Residual: 1.22223 2 0 TAO, Function value: 0.0316957, Residual: 0.71596 3 1 TAO, Function value: 0.0134792, Residual: 0.746491 4 2 TAO, Function value: 0.000704731, Residual: 0.146624 5 3 TAO, Function value: 2.16752e-06, Residual: 0.00782352 6 4 TAO, Function value: 2.85258e-11, Residual: 2.83133e-05 7 5 TAO, Function value: 4.96958e-21, Residual: 3.73703e-10 8Tao Object: 1 MPI processes 9 type: bntr 10 CG steps: 0 11 Newton steps: 5 12 Scaled gradient steps: 0 13 Gradient steps: 0 14 KSP termination reasons: 15 atol: 0 16 rtol: 2 17 ctol: 1 18 negc: 2 19 dtol: 0 20 iter: 0 21 othr: 0 22 TaoLineSearch Object: 1 MPI processes 23 type: more-thuente 24 maximum function evaluations=30 25 tolerances: ftol=0.0001, rtol=1e-10, gtol=0.9 26 total number of function evaluations=0 27 total number of gradient evaluations=0 28 total number of function/gradient evaluations=0 29 Termination reason: 0 30 KSP Object: (tao_bnk_) 1 MPI processes 31 type: stcg 32 maximum iterations=10000, initial guess is zero 33 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 34 left preconditioning 35 using UNPRECONDITIONED norm type for convergence test 36 PC Object: (tao_bnk_) 1 MPI processes 37 type: none 38 linear system matrix = precond matrix: 39 Mat Object: 1 MPI processes 40 type: shell 41 rows=2, cols=2 42 total KSP iterations: 8 43 Active Set subset type: subvec 44 convergence tolerances: gatol=1e-08, steptol=0., gttol=0. 45 Residual in Function/Gradient:=3.73703e-10 46 Objective value=4.96958e-21 47 total number of iterations=5, (max: 50) 48 total number of function/gradient evaluations=17, (max: 4000) 49 total number of Hessian evaluations=6 50 Solution converged: ||g(X)|| <= gatol 51