- g -

• G() : vnl_gaussian_kernel_1d
• gcd() : vnl_finite_int< N > , vnl_rational , vnl_finite_int< N >
• get() : vnl_diag_matrix_fixed< T, N > , vnl_matrix< T > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix_fixed_ref< T, num_rows, num_cols > , vnl_sparse_matrix< T > , vnl_vector< T > , vnl_diag_matrix< T > , vnl_vector_fixed< T, n > , vnl_vector_fixed_ref_const< T, n >
• get_bound_selection() : vnl_lbfgsb
• get_check_derivatives() : vnl_nonlinear_minimizer
• get_column() : vnl_matrix< T > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix_fixed_ref_const< T, num_rows, num_cols >
• get_cost_function_convergence_factor() : vnl_lbfgsb
• get_covariance() : vnl_nonlinear_minimizer
• get_diagonal() : vnl_diag_matrix< T > , vnl_diag_matrix_fixed< T, N > , vnl_matrix< T > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix_fixed_ref_const< T, num_rows, num_cols >
• get_eigenvalue() : vnl_sparse_symmetric_eigensystem , vnl_symmetric_eigensystem< T >
• get_eigenvector() : vnl_sparse_symmetric_eigensystem , vnl_symmetric_eigensystem< T >
• get_end_error() : vnl_nonlinear_minimizer
• get_epsilon_function() : vnl_nonlinear_minimizer
• get_f_tolerance() : vnl_nonlinear_minimizer
• get_failure_code() : vnl_nonlinear_minimizer
• get_g_tolerance() : vnl_nonlinear_minimizer
• get_inf_norm_projected_gradient() : vnl_lbfgsb
• get_JtJ() : vnl_levenberg_marquardt , vnl_sparse_lm
• get_lower_bound() : vnl_lbfgsb
• get_max_function_evals() : vnl_nonlinear_minimizer
• get_max_variable_metric_corrections() : vnl_lbfgsb
• get_n_columns() : vnl_matrix< T > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix_fixed_ref_const< T, num_rows, num_cols >
• get_n_rows() : VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix< T > , vnl_matrix_fixed_ref_const< T, num_rows, num_cols >
• get_num_evaluations() : vnl_amoeba , vnl_nonlinear_minimizer
• get_num_iterations() : vnl_nonlinear_minimizer
• get_number_of_iterations() : vnl_lsqr
• get_number_of_residuals() : vnl_least_squares_function , vnl_linear_system
• get_number_of_unknowns() : vnl_cost_function , vnl_least_squares_function , vnl_linear_system
• get_projected_gradient_tolerance() : vnl_lbfgsb
• get_range_max() : vnl_unary_function< Return, Argument >
• get_range_min() : vnl_unary_function< Return, Argument >
• get_relative_residual() : vnl_linear_system
• get_resid_norm_estimate() : vnl_lsqr
• get_rhs() : vnl_sparse_matrix_linear_system< T > , vnl_linear_system
• get_rms_error() : vnl_linear_system
• get_row() : vnl_matrix< T > , vnl_matrix_fixed_ref_const< T, num_rows, num_cols > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_sparse_matrix< T >
• get_start_error() : vnl_nonlinear_minimizer
• get_trace() : vnl_nonlinear_minimizer
• get_upper_bound() : vnl_lbfgsb
• get_verbose() : vnl_nonlinear_minimizer
• get_weights() : vnl_sparse_lm
• get_x_tolerance() : vnl_nonlinear_minimizer
• GetAssignmentMatrix() : vnl_hungarian_algorithm< T >
• GetAssignmentVector() : vnl_hungarian_algorithm< T >
• getcolumn() : vnl_sparse_matrix< T >
• getrow() : vnl_sparse_matrix< T >
• GetTotalCost() : vnl_hungarian_algorithm< T >
• getVector() : vnl_index_sort< TValue, TIndex >
• gradf() : vnl_least_squares_function , vnl_least_squares_cost_function , vnl_cost_function
• gradientcomputer_() : vnl_conjugate_gradient
• vnl_gaussian_kernel_1d() : vnl_gaussian_kernel_1d
• vnl_generalized_eigensystem() : vnl_generalized_eigensystem