iter =   0, Function value 1., Residual: 2.
iter =   0, Function value 0.774392, Residual: 5.22273
iter =   1, Function value 0.544223, Residual: 3.24237
iter =   2, Function value 0.398487, Residual: 5.29608
iter =   3, Function value 0.285781, Residual: 1.49089
iter =   4, Function value 0.241473, Residual: 5.37794
iter =   5, Function value 0.202466, Residual: 0.235645
iter =   6, Function value 0.195894, Residual: 1.42564
iter =   7, Function value 0.194198, Residual: 0.00449584
iter =   8, Function value 0.194189, Residual: 0.00182195
iter =   9, Function value 0.194189, Residual: < 1.0e-6
Tao Object: 1 MPI process
  type: nls
    Newton steps: 9
    BFGS steps: 0
    Gradient steps: 0
    nls ksp atol: 0
    nls ksp rtol: 9
    nls ksp ctol: 0
    nls ksp negc: 0
    nls ksp dtol: 0
    nls ksp iter: 0
    nls ksp othr: 0
  Objective function:
    Scale (tao_objective_scale): 1.
    Function:
      TaoTerm Object: 1 MPI process
        type: sum
        solution vector space: N = 2 [VecType seq (tao_term_solution_vec_type)]
        parameter vector space: (optional) K = 2 [VecType nest (tao_term_parameters_vec_type)]
        Hessian MatType (tao_term_hessian_mat_type): aij
        Sum of 2 terms:
          Summand 0:
            Scale (tao_term_sum_callbacks_scale): 1.
            Term:
              TaoTerm Object: (callbacks_) 1 MPI process
                type: callbacks
                solution vector space: N = 2 [VecType seq (tao_term_solution_vec_type)]
                parameter vector space: (none)
                Hessian MatType (tao_term_hessian_mat_type): seqbaij
                attached to Tao [name omitted]
                total number of function/gradient evaluations=16
                total number of Hessian evaluations=10
            Map: unmapped
          Summand 1:
            Scale (tao_term_sum_reg_scale): 0.3
            Term:
              TaoTerm Object: (reg_) 1 MPI process
                type: halfl2squared
                solution vector space: N = 2 [VecType seq (tao_term_solution_vec_type)]
                parameter vector space: (optional) K = 2 [VecType seq (tao_term_parameters_vec_type)]
                Hessian MatType (tao_term_hessian_mat_type): diagonal
                total number of function evaluations=5
                total number of gradient evaluations=1
                total number of function/gradient evaluations=10
                total number of Hessian evaluations=10
            Map: unmapped
        total number of function evaluations=5
        total number of gradient evaluations=1
        total number of function/gradient evaluations=10
        total number of Hessian evaluations=10
    Map: unmapped
  TaoLineSearch Object: 1 MPI process
    type: more-thuente
    maximum function evaluations=30
    tolerances: ftol=0.0001, rtol=1e-10, gtol=0.9
    total number of function evaluations=0
    total number of gradient evaluations=0
    total number of function/gradient evaluations=1
    Termination reason: SUCCESS
  KSP Object: (tao_nls_) 1 MPI process
    type: stcg
    maximum iterations=10000, initial guess is zero
    tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
    left preconditioning
    using UNPRECONDITIONED norm type for convergence test
  PC Object: (tao_nls_) 1 MPI process
    type: ilu
      out-of-place factorization
      0 levels of fill
      tolerance for zero pivot 2.22045e-14
      matrix ordering: natural
      factor fill ratio given 1., needed 1.
        Factored matrix:
          Mat Object: (tao_nls_) 1 MPI process
            type: seqaij
            rows=2, cols=2
            package used to perform factorization: petsc
            total: nonzeros=4, allocated nonzeros=4
              using I-node routines: found 1 nodes, limit used is 5
    linear system matrix, which is also used to construct the preconditioner:
    Mat Object: 1 MPI process
      type: seqaij
      rows=2, cols=2
      total: nonzeros=4, allocated nonzeros=4
      total number of mallocs used during MatSetValues calls=0
        using I-node routines: found 1 nodes, limit used is 5
  total KSP iterations: 9
  convergence tolerances: gatol=1e-08,   grtol=1e-08,   steptol=0.,   gttol=0.
  Residual in Function/Gradient:=4.46323e-09
  Objective value=0.194189
  total number of iterations=9,                          (max: 50)
  total number of function evaluations=5,                  (max: unlimited)
  total number of gradient evaluations=1,                  (max: unlimited)
  total number of function/gradient evaluations=10,      (max: unlimited)
  total number of Hessian evaluations=10
  Solution converged:    ||g(X)|| <= gatol
