apply_GN apply_GN assemble_GN_rhs check_convergence compute_dlogalpha designSolution DesignVec DesignVecGhosted evaluate_objective_and_gradient evaluateGNFunctional init IP_SSATaucTikhonovGNSolver linesearch m_alpha m_comm m_d m_d0 m_d_diff m_d_diff_lin m_dalpha_rhs m_design_stencil_width m_designFunctional m_dGlobal m_dh_dalpha m_dh_dalphaGlobal m_eta m_GN_rhs m_grad_design m_grad_state m_gradient m_h m_hGlobal m_iter m_iter_max m_ksp m_log m_logalpha m_mat_GN m_ssaforward m_state_stencil_width m_stateFunctional m_target_misfit m_tikhonov_adaptive m_tikhonov_atol m_tikhonov_ptol m_tikhonov_rtol m_tmp_D1Global m_tmp_D1Local m_tmp_D2Global m_tmp_D2Local m_tmp_S1Global m_tmp_S1Local m_tmp_S2Global m_tmp_S2Local m_u_diff m_u_obs m_val_design m_val_state m_value m_vel_scale m_x setInitialGuess setTargetMisfit solve solve_linearized stateSolution StateVec StateVec1 ~IP_SSATaucTikhonovGNSolver

apply_GN() [2/2] void pism::inverse::IP_SSATaucTikhonovGNSolver::apply_GN ( Vec  x, Vec  y  ) virtual Note This function has to return PetscErrorCode (it is used as a callback). Definition at line 130 of file IP_SSATaucTikhonovGNSolver.cc. References pism::array::Array2D< T >::add(), pism::inverse::IP_SSATaucForwardProblem::apply_linearization(), pism::inverse::IP_SSATaucForwardProblem::apply_linearization_transpose(), pism::array::Array::dm(), m_alpha, m_designFunctional, m_ssaforward, m_stateFunctional, m_tmp_D1Global, m_tmp_D2Global, m_tmp_S1Global, m_tmp_S1Local, m_x, PISM_CHK, pism::array::Array::update_ghosts(), and pism::array::Array::vec().