Here is a list of all class members with links to the classes they belong to:

- s -

• s : vnl_matlab_readhdr
• SaveVectors() : vnl_sparse_symmetric_eigensystem
• saxpy() : vnl_c_vector< T >
• Scalar : vnl_finite_int_poly< N, M >
• scale() : vnl_c_vector< T >
• scale_column() : vnl_matrix< T > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix_fixed_ref< T, num_rows, num_cols >
• scale_row() : 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 >
• second : vnl_sparse_matrix_pair< T >
• self : VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_vector_fixed< T, n >
• set() : vnl_cross_product_matrix , 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< T, num_rows, num_cols > , vnl_rational , vnl_real_npolynomial , vnl_vector< T > , vnl_vector_fixed< T, n > , vnl_vector_fixed_ref< T, n >
• set_absolute_thresh() : vnl_sparse_lu
• set_bound_selection() : vnl_lbfgsb
• set_check_derivatives() : vnl_nonlinear_minimizer
• set_coefficients() : vnl_polynomial< T > , vnl_real_polynomial
• set_column() : vnl_matrix< T > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix_fixed_ref< T, num_rows, num_cols >
• set_columns() : vnl_matrix< T > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix_fixed_ref< T, num_rows, num_cols >
• set_corner() : vnl_amoebaFit
• set_corner_a_plus_bl() : vnl_amoebaFit
• set_cost_function_convergence_factor() : vnl_lbfgsb
• set_covariance_ : vnl_levenberg_marquardt , vnl_sparse_lm
• set_diagonal() : vnl_sparse_lm , 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< T, num_rows, num_cols >
• set_diagonal_pivoting() : vnl_sparse_lu
• set_epsilon_function() : vnl_nonlinear_minimizer
• set_f_tolerance() : vnl_amoeba , vnl_nonlinear_minimizer
• set_fnct() : vnl_definite_integral
• set_g_tolerance() : vnl_nonlinear_minimizer
• set_half_row() : vnl_sym_matrix< T >
• set_identity() : 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 >
• set_initial_step() : vnl_powell
• set_linmin_xtol() : vnl_powell
• set_log() : vnl_finite_int< N >
• set_lower_bound() : vnl_lbfgsb
• set_max_function_evals() : vnl_nonlinear_minimizer
• set_max_iterations() : vnl_amoeba , vnl_lsqr
• set_max_variable_metric_corrections() : vnl_lbfgsb
• set_number_of_unknowns() : vnl_cost_function
• set_pivot_thresh() : vnl_sparse_lu
• set_projected_gradient_tolerance() : vnl_lbfgsb
• set_relative_diameter() : vnl_amoeba
• set_row() : 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 >
• set_size() : vnl_diag_matrix< T > , vnl_matrix< T > , vnl_matrix_ref< T > , vnl_sparse_matrix< T > , vnl_sym_matrix< T > , vnl_vector< T >
• set_trace() : vnl_nonlinear_minimizer
• set_up_simplex_absolute() : vnl_amoebaFit
• set_up_simplex_relative() : vnl_amoebaFit
• set_upper_bound() : vnl_lbfgsb
• set_verbose() : vnl_nonlinear_minimizer
• set_x_tolerance() : vnl_amoeba , vnl_nonlinear_minimizer
• SetCostMatrix() : vnl_hungarian_algorithm< T >
• setup_index() : vnl_sym_matrix< T >
• sigma_max() : vnl_svd< T > , vnl_svd_fixed< T, R, C >
• sigma_min() : vnl_svd< T > , vnl_svd_fixed< T, R, C >
• sign : vnl_bignum , vnl_decnum
• sign_ : vnl_decnum
• simplify() : vnl_real_npolynomial
• singularities() : vnl_svd< T > , vnl_svd_fixed< T, R, C >
• singval_t : vnl_svd< T > , vnl_svd_economy< real_t > , vnl_svd_fixed< T, R, C >
• size() : vnl_fft_1d< T > , 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 > , vnl_sym_matrix< T > , vnl_vector< T > , vnl_vector_fixed< T, n > , vnl_vector_fixed_ref_const< T, n >
• SIZE : vnl_vector_fixed< T, n >
• size_a_ : vnl_sparse_lm
• size_b_ : vnl_sparse_lm
• size_c_ : vnl_sparse_lm
• size_e_ : vnl_sparse_lm
• size_type : VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_vector< T > , vnl_vector_fixed< T, n > , vnl_vector_fixed_ref_const< T, n > , vnl_vector_fixed_ref< T, n >
• smallest_generator() : vnl_finite_int< N > , vnl_finite_int_poly< N, M >
• solns : vnl_cpoly_roots
• solve() : vnl_qr< T > , vnl_cholesky , vnl_ldl_cholesky , vnl_qr< T > , vnl_sparse_lu , vnl_svd< T > , vnl_svd_fixed< T, R, C > , vnl_symmetric_eigensystem< T > , vnl_diag_matrix< T > , vnl_diag_matrix_fixed< T, N > , vnl_diag_matrix< T > , vnl_svd< T >
• solve_dc() : vnl_sparse_lm
• solve_lx() : vnl_ldl_cholesky
• solve_preinverted() : vnl_svd< T > , vnl_svd_fixed< T, R, C >
• solve_transpose() : vnl_sparse_lu
• sortIndices() : vnl_index_sort< TValue, TIndex >
• SortMatrixIndexType : vnl_index_sort< TValue, TIndex >
• SortMatrixType : vnl_index_sort< TValue, TIndex >
• SortVectorIndexType : vnl_index_sort< TValue, TIndex >
• SortVectorType : vnl_index_sort< TValue, TIndex >
• sparse_col() : vnl_crs_index
• sparse_row() : vnl_crs_index
• sparse_vector : vnl_crs_index
• square_root() : vnl_symmetric_eigensystem< T >
• squared_magnitude() : vnl_c_vector< T > , vnl_c_na_vector< T > , vnl_vector< T > , vnl_vector_fixed_ref_const< T, n > , vnl_vector_fixed< T, n >
• STAR : vnl_hungarian_algorithm< T >
• start_error_ : vnl_nonlinear_minimizer
• start_free : vnl_alloc
• StartAssignment() : vnl_hungarian_algorithm< T >
• STATE_TYPE : vnl_hungarian_algorithm< T >
• std() : vnl_c_vector< T >
• Step_0() : vnl_hungarian_algorithm< T >
• STEP_0 : vnl_hungarian_algorithm< T >
• Step_1() : vnl_hungarian_algorithm< T >
• STEP_1 : vnl_hungarian_algorithm< T >
• STEP_2 : vnl_hungarian_algorithm< T >
• Step_2() : vnl_hungarian_algorithm< T >
• Step_3() : vnl_hungarian_algorithm< T >
• STEP_3 : vnl_hungarian_algorithm< T >
• Step_4() : vnl_hungarian_algorithm< T >
• STEP_4 : vnl_hungarian_algorithm< T >
• STEP_5 : vnl_hungarian_algorithm< T >
• Step_5() : vnl_hungarian_algorithm< T >
• STEP_6 : vnl_hungarian_algorithm< T >
• Step_6() : vnl_hungarian_algorithm< T >
• Step_done() : vnl_hungarian_algorithm< T >
• STEP_done : vnl_hungarian_algorithm< T >
• STEP_TYPE : vnl_hungarian_algorithm< T >
• storage_ : vnl_least_squares_cost_function
• sub() : VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_vector_fixed< T, n > , vnl_matrix_fixed_ref_const< T, num_rows, num_cols > , vnl_vector_fixed< T, n > , vnl_vector_fixed_ref_const< T, n > , vnl_matrix_fixed_ref_const< T, num_rows, num_cols > , VNL_MATRIX_FIXED_VCL60_WORKAROUND< T, num_rows, num_cols > , vnl_matrix_fixed_ref_const< T, num_rows, num_cols > , vnl_vector_fixed_ref_const< T, n >
• sub_outer_product() : vnl_scatter_3x3< T >
• subtract() : vnl_sparse_matrix< T > , vnl_c_vector< T > , vnl_bignum , vnl_c_vector< T >
• sum() : vnl_c_na_vector< T > , vnl_vector_fixed< T, n > , vnl_vector< T > , vnl_sse< T > , vnl_vector_fixed_ref_const< T, n > , vnl_c_vector< T >
• sum_row() : vnl_sparse_matrix< T >
• sum_sq_diff_means() : vnl_c_vector< T >
• sv_ : vnl_svd_economy< real_t >
• swap() : vnl_vector< T > , vnl_sym_matrix< T > , vnl_matrix< T >
• symmetricp : vnl_scatter_3x3< T >
• sz : vnl_fortran_copy< T >
• vnl_scalar_join_iterator() : vnl_scalar_join_iterator< T >
• vnl_scalar_join_iterator_indexed_pair() : vnl_scalar_join_iterator_indexed_pair< T >
• vnl_scatter_3x3() : vnl_scatter_3x3< T >
• vnl_simpson_integral() : vnl_simpson_integral
• vnl_SINGLE_PRECISION : vnl_matlab_header
• vnl_sparse_lm() : vnl_sparse_lm
• vnl_sparse_lst_sqr_function() : vnl_sparse_lst_sqr_function
• vnl_sparse_lu() : vnl_sparse_lu
• vnl_sparse_matrix() : vnl_sparse_matrix< T >
• vnl_sparse_matrix_elements : vnl_sparse_matrix< T >
• vnl_sparse_matrix_linear_system() : vnl_sparse_matrix_linear_system< T >
• vnl_sparse_matrix_pair() : vnl_sparse_matrix_pair< T >
• vnl_sparse_symmetric_eigensystem() : vnl_sparse_symmetric_eigensystem
• vnl_svd() : vnl_svd< T >
• vnl_svd_economy() : vnl_svd_economy< real_t >
• vnl_svd_fixed() : vnl_svd_fixed< T, R, C >
• vnl_sym_matrix() : vnl_sym_matrix< T >
• vnl_symmetric_eigensystem() : vnl_symmetric_eigensystem< T >