vnl_sparse_lm Member List

This is the complete list of members for vnl_sparse_lm, including all inherited members.

A_	vnl_sparse_lm	[private]
allocate_matrices()	vnl_sparse_lm	[private]
B_	vnl_sparse_lm	[private]
backsolve_db(vnl_vector< double > const &da, vnl_vector< double > const &dc, vnl_vector< double > &db)	vnl_sparse_lm	[private]
C_	vnl_sparse_lm	[private]
check_derivatives_	vnl_nonlinear_minimizer	[protected]
check_vector_sizes(vnl_vector< double > const &a, vnl_vector< double > const &b, vnl_vector< double > const &c)	vnl_sparse_lm	[private]
compute_invV_Y()	vnl_sparse_lm	[private]
compute_Ma(const vnl_matrix< double > &H)	vnl_sparse_lm	[private]
compute_Mb()	vnl_sparse_lm	[private]
compute_normal_equations()	vnl_sparse_lm	[private]
compute_Sa_sea(vnl_matrix< double > &Sa, vnl_vector< double > &sea)	vnl_sparse_lm	[private]
compute_sea(vnl_vector< double > const &dc, vnl_vector< double > &sea)	vnl_sparse_lm	[private]
compute_Z_Sa(vnl_matrix< double > &Sa)	vnl_sparse_lm	[private]
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() const	vnl_sparse_lm
diagnose_outcome(vcl_ostream &) const	vnl_sparse_lm
e_	vnl_sparse_lm	[private]
ea_	vnl_sparse_lm	[private]
eb_	vnl_sparse_lm	[private]
ec_	vnl_sparse_lm	[private]
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
extract_diagonal() const	vnl_sparse_lm	[private]
f_	vnl_sparse_lm	[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_USER_REQUEST enum value	vnl_nonlinear_minimizer
FAILED_XTOL_TOO_SMALL enum value	vnl_nonlinear_minimizer
failure_code_	vnl_nonlinear_minimizer	[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_JtJ()	vnl_sparse_lm
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_weights() const	vnl_sparse_lm	[inline]
get_x_tolerance() const	vnl_nonlinear_minimizer	[inline]
gtol	vnl_nonlinear_minimizer	[protected]
init(vnl_sparse_lst_sqr_function *f)	vnl_sparse_lm	[protected]
inv_covar_	vnl_sparse_lm	[protected]
inv_V_	vnl_sparse_lm	[private]
is_a() const	vnl_nonlinear_minimizer	[virtual]
is_class(vcl_string const &s) const	vnl_nonlinear_minimizer	[virtual]
Ma_	vnl_sparse_lm	[private]
maxfev	vnl_nonlinear_minimizer	[protected]
Mb_	vnl_sparse_lm	[private]
minimize(vnl_vector< double > &a, vnl_vector< double > &b, vnl_vector< double > &c, bool use_gradient=true, bool use_weights=true)	vnl_sparse_lm
num_a_	vnl_sparse_lm	[private]
num_b_	vnl_sparse_lm	[private]
num_e_	vnl_sparse_lm	[private]
num_evaluations_	vnl_nonlinear_minimizer	[protected]
num_iterations_	vnl_nonlinear_minimizer	[protected]
num_nz_	vnl_sparse_lm	[private]
obj_value_reduced()	vnl_nonlinear_minimizer	[inline]
Q_	vnl_sparse_lm	[private]
R_	vnl_sparse_lm	[private]
report_eval(double f)	vnl_nonlinear_minimizer	[protected]
report_iter()	vnl_nonlinear_minimizer	[protected, virtual]
reset()	vnl_nonlinear_minimizer	[protected]
ReturnCodes enum name	vnl_nonlinear_minimizer
set_check_derivatives(int cd)	vnl_nonlinear_minimizer	[inline]
set_covariance_	vnl_sparse_lm	[protected]
set_diagonal(const vnl_vector< double > &diag)	vnl_sparse_lm	[private]
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]
size_a_	vnl_sparse_lm	[private]
size_b_	vnl_sparse_lm	[private]
size_c_	vnl_sparse_lm	[private]
size_e_	vnl_sparse_lm	[private]
solve_dc(vnl_vector< double > &dc)	vnl_sparse_lm	[private]
start_error_	vnl_nonlinear_minimizer	[protected]
T_	vnl_sparse_lm	[private]
tau_	vnl_sparse_lm	[protected]
TOO_MANY_ITERATIONS enum value	vnl_nonlinear_minimizer
trace	vnl_nonlinear_minimizer	[protected]
U_	vnl_sparse_lm	[private]
V_	vnl_sparse_lm	[private]
verbose_	vnl_nonlinear_minimizer	[protected]
vnl_nonlinear_minimizer()	vnl_nonlinear_minimizer
vnl_sparse_lm(vnl_sparse_lst_sqr_function &f)	vnl_sparse_lm
W_	vnl_sparse_lm	[private]
weights_	vnl_sparse_lm	[private]
xtol	vnl_nonlinear_minimizer	[protected]
Y_	vnl_sparse_lm	[private]
Z_	vnl_sparse_lm	[private]
~vnl_nonlinear_minimizer()	vnl_nonlinear_minimizer	[virtual]
~vnl_sparse_lm()	vnl_sparse_lm