check_derivatives_ | vnl_nonlinear_minimizer | [protected] |
CONVERGED_FTOL enum value | vnl_nonlinear_minimizer | |
CONVERGED_GTOL enum value | vnl_nonlinear_minimizer | |
CONVERGED_XFTOL enum value | vnl_nonlinear_minimizer | |
CONVERGED_XTOL enum value | vnl_nonlinear_minimizer | |
diagnose_outcome(vcl_ostream &) const | vnl_conjugate_gradient | |
diagnose_outcome() const | vnl_conjugate_gradient | |
end_error_ | vnl_nonlinear_minimizer | [protected] |
epsfcn | vnl_nonlinear_minimizer | [protected] |
ERROR_DODGY_INPUT enum value | vnl_nonlinear_minimizer | |
ERROR_FAILURE enum value | vnl_nonlinear_minimizer | |
f_ | vnl_conjugate_gradient | [protected] |
FAILED_FTOL_TOO_SMALL enum value | vnl_nonlinear_minimizer | |
FAILED_GTOL_TOO_SMALL enum value | vnl_nonlinear_minimizer | |
FAILED_TOO_MANY_ITERATIONS enum value | vnl_nonlinear_minimizer | |
FAILED_XTOL_TOO_SMALL enum value | vnl_nonlinear_minimizer | |
failure_code_ | vnl_nonlinear_minimizer | [protected] |
final_step_size_ | vnl_conjugate_gradient | [protected] |
ftol | vnl_nonlinear_minimizer | [protected] |
get_check_derivatives() const | vnl_nonlinear_minimizer | [inline] |
get_covariance() | vnl_nonlinear_minimizer | [virtual] |
get_end_error() const | vnl_nonlinear_minimizer | [inline] |
get_epsilon_function() const | vnl_nonlinear_minimizer | [inline] |
get_f_tolerance() const | vnl_nonlinear_minimizer | [inline] |
get_failure_code() const | vnl_nonlinear_minimizer | [inline] |
get_g_tolerance() const | vnl_nonlinear_minimizer | [inline] |
get_max_function_evals() const | vnl_nonlinear_minimizer | [inline] |
get_num_evaluations() const | vnl_nonlinear_minimizer | [inline] |
get_num_iterations() const | vnl_nonlinear_minimizer | [inline] |
get_start_error() const | vnl_nonlinear_minimizer | [inline] |
get_trace() const | vnl_nonlinear_minimizer | [inline] |
get_verbose() const | vnl_nonlinear_minimizer | [inline] |
get_x_tolerance() const | vnl_nonlinear_minimizer | [inline] |
gradientcomputer_(double *g, double *x) | vnl_conjugate_gradient | [protected, static] |
gtol | vnl_nonlinear_minimizer | [protected] |
init(vnl_cost_function &f) | vnl_conjugate_gradient | |
is_a() const | vnl_nonlinear_minimizer | [virtual] |
is_a(vcl_string const &s) const | vnl_nonlinear_minimizer | [inline, virtual] |
maxfev | vnl_nonlinear_minimizer | [protected] |
minimize(vnl_vector< double > &x) | vnl_conjugate_gradient | |
num_evaluations_ | vnl_nonlinear_minimizer | [protected] |
num_iterations_ | vnl_nonlinear_minimizer | [protected] |
preconditioner_(double *out, double *in) | vnl_conjugate_gradient | [protected, static] |
report_eval(double f) | vnl_nonlinear_minimizer | [protected] |
report_iter() | vnl_nonlinear_minimizer | [protected] |
reset() | vnl_nonlinear_minimizer | [protected] |
ReturnCodes enum name | vnl_nonlinear_minimizer | |
set_check_derivatives(int cd) | vnl_nonlinear_minimizer | [inline] |
set_epsilon_function(double v) | vnl_nonlinear_minimizer | [inline] |
set_f_tolerance(double v) | vnl_nonlinear_minimizer | [inline] |
set_g_tolerance(double v) | vnl_nonlinear_minimizer | [inline] |
set_max_function_evals(int v) | vnl_nonlinear_minimizer | [inline] |
set_trace(bool on) | vnl_nonlinear_minimizer | [inline] |
set_verbose(bool verb) | vnl_nonlinear_minimizer | [inline] |
set_x_tolerance(double v) | vnl_nonlinear_minimizer | [inline] |
start_error_ | vnl_nonlinear_minimizer | [protected] |
trace | vnl_nonlinear_minimizer | [protected] |
valueandgradientcomputer_(double *v, double *g, double *x) | vnl_conjugate_gradient | [protected, static] |
valuecomputer_(double *x) | vnl_conjugate_gradient | [protected, static] |
verbose_ | vnl_nonlinear_minimizer | [protected] |
vnl_conjugate_gradient(vnl_cost_function &f) | vnl_conjugate_gradient | [inline] |
vnl_conjugate_gradient(vnl_cost_function &f, vnl_vector< double > &x) | vnl_conjugate_gradient | [inline] |
vnl_conjugate_gradient_Activate class | vnl_conjugate_gradient | [friend] |
vnl_nonlinear_minimizer() | vnl_nonlinear_minimizer | |
xtol | vnl_nonlinear_minimizer | [protected] |
~vnl_conjugate_gradient() | vnl_conjugate_gradient | |
~vnl_nonlinear_minimizer() | vnl_nonlinear_minimizer | [virtual] |