Tao Object: 1 MPI process
  type: nls
    Newton steps: 8
    BFGS steps: 0
    Gradient steps: 0
    nls ksp atol: 0
    nls ksp rtol: 8
    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_term_0_scale): 1.
            Term:
              TaoTerm Object: 1 MPI process
                type: shell
                solution vector space: N = 2 [VecType seq (tao_term_solution_vec_type)]
                parameter vector space: (none)
                default Hessian MatType (tao_term_hessian_mat_type): baij
                Context has been set
                The following methods have been set: objectiveandgradient, hessian,
                total number of function/gradient evaluations=15
                total number of Hessian evaluations=9
            Map: unmapped
          Summand 1:
            Scale (tao_term_sum_extra_scale): 1.
            Term:
              TaoTerm Object: (extra_) 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=9
                total number of Hessian evaluations=9
            Map: unmapped
        total number of function evaluations=5
        total number of gradient evaluations=1
        total number of function/gradient evaluations=9
        total number of Hessian evaluations=9
    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: 8
  convergence tolerances: gatol=1e-08,   grtol=1e-08,   steptol=0.,   gttol=0.
  Residual in Function/Gradient:=1.00035e-12
  Objective value=0.399236
  total number of iterations=8,                          (max: 50)
  total number of function evaluations=5,                  (max: unlimited)
  total number of gradient evaluations=1,                  (max: unlimited)
  total number of function/gradient evaluations=9,      (max: unlimited)
  total number of Hessian evaluations=9
  Solution converged:    ||g(X)|| <= gatol
