, including all inherited members.
| A_ | m23d_correction_matrix_error | [private] |
| clear_failure() | vnl_least_squares_function | |
| compute_q(const vnl_vector< double > &g1, const vnl_vector< double > &g2, vnl_vector< double > &q) | m23d_correction_matrix_error | [private] |
| f(vnl_vector< double > const &g, vnl_vector< double > &fx) | m23d_correction_matrix_error | [virtual] |
| failure | vnl_least_squares_function | |
| fdgradf(vnl_vector< double > const &x, vnl_matrix< double > &jacobian, double stepsize) | vnl_least_squares_function | |
| ffdgradf(vnl_vector< double > const &x, vnl_matrix< double > &jacobian, double stepsize) | vnl_least_squares_function | |
| get_number_of_residuals() const | vnl_least_squares_function | |
| get_number_of_unknowns() const | vnl_least_squares_function | |
| gradf(vnl_vector< double > const &g, vnl_matrix< double > &jacobian) | m23d_correction_matrix_error | [virtual] |
| has_gradient() const | vnl_least_squares_function | |
| init(unsigned int number_of_unknowns, unsigned int number_of_residuals) | vnl_least_squares_function | [protected] |
| k_ | m23d_correction_matrix_error | [private] |
| m23d_correction_matrix_error(const vnl_matrix< double > &A, const vnl_vector< double > &rhs, unsigned n_modes, unsigned k) | m23d_correction_matrix_error | |
| n_ | vnl_least_squares_function | [protected] |
| n_modes_ | m23d_correction_matrix_error | [private] |
| no_gradient | vnl_least_squares_function | |
| p_ | vnl_least_squares_function | [protected] |
| q_ | m23d_correction_matrix_error | [private] |
| r_ | m23d_correction_matrix_error | [private] |
| rhs_ | m23d_correction_matrix_error | [private] |
| rms(vnl_vector< double > const &x) | vnl_least_squares_function | |
| throw_failure() | vnl_least_squares_function | |
| trace(int iteration, vnl_vector< double > const &x, vnl_vector< double > const &fx) | vnl_least_squares_function | [virtual] |
| use_gradient | vnl_least_squares_function | |
| use_gradient_ | vnl_least_squares_function | [protected] |
| UseGradient enum name | vnl_least_squares_function | |
| vnl_discrete_diff_fwd(vnl_least_squares_function *lsf, double h, vnl_vector< double > const &x, vnl_matrix< double > &J) | vnl_least_squares_function | |
| vnl_discrete_diff_fwd(vnl_least_squares_function *lsf, vnl_vector< double > const &h, vnl_vector< double > const &x, vnl_matrix< double > &J) | vnl_least_squares_function | |
| vnl_discrete_diff_fwd(vnl_least_squares_function *lsf, vnl_vector< double > const &h, vnl_vector< double > const &x, vnl_vector< double > const &y, vnl_matrix< double > &J) | vnl_least_squares_function | |
| vnl_discrete_diff_sym(vnl_least_squares_function *lsf, double h, vnl_vector< double > const &x, vnl_matrix< double > &J) | vnl_least_squares_function | |
| vnl_discrete_diff_sym(vnl_least_squares_function *lsf, vnl_vector< double > const &h, vnl_vector< double > const &x, vnl_matrix< double > &J) | vnl_least_squares_function | |
| vnl_least_squares_function(unsigned int number_of_unknowns, unsigned int number_of_residuals, UseGradient g=use_gradient) | vnl_least_squares_function | |
| ~vnl_least_squares_function() | vnl_least_squares_function | [virtual] |
