| b_read(vsl_b_istream &bfs) | pdf1d_exponential | [virtual] |
| b_write(vsl_b_ostream &bfs) const | pdf1d_exponential | [virtual] |
| cdf(double x) const | pdf1d_exponential | [virtual] |
| cdf_is_analytic() const | pdf1d_exponential | [virtual] |
| clone() const | pdf1d_exponential | [virtual] |
| get_samples(vnl_vector< double > &x) const | pdf1d_pdf | |
| gradient(double x, double &p) const | pdf1d_exponential | [virtual] |
| inverse_cdf(double P) const | pdf1d_pdf | [virtual] |
| is_a() const | pdf1d_exponential | [virtual] |
| is_class(vcl_string const &s) const | pdf1d_exponential | [virtual] |
| is_valid_pdf() const | pdf1d_pdf | [virtual] |
| lambda() const | pdf1d_exponential | [inline] |
| lambda_ | pdf1d_exponential | [private] |
| log_lambda_ | pdf1d_exponential | [private] |
| log_p(double x) const | pdf1d_exponential | [virtual] |
| log_prob_thresh(double pass_proportion) const | pdf1d_exponential | [virtual] |
| mean() const | pdf1d_pdf | [inline] |
| n_peaks() const | pdf1d_pdf | [inline, virtual] |
| nearest_plausible(double x, double log_p_min) const | pdf1d_exponential | [virtual] |
| new_sampler() const | pdf1d_exponential | [virtual] |
| operator()(double x) const | pdf1d_exponential | [virtual] |
| pdf1d_exponential() | pdf1d_exponential | |
| pdf1d_exponential(double lambda) | pdf1d_exponential | |
| pdf1d_pdf() | pdf1d_pdf | |
| peak(int) const | pdf1d_pdf | [inline, virtual] |
| print_summary(vcl_ostream &os) const | pdf1d_exponential | [virtual] |
| sd() const | pdf1d_exponential | [inline] |
| set_lambda(double lambda) | pdf1d_exponential | |
| set_mean(double m) | pdf1d_pdf | [inline, protected] |
| set_variance(double v) | pdf1d_pdf | [inline, protected] |
| variance() const | pdf1d_pdf | [inline] |
| version_no() const | pdf1d_exponential | |
| write_plot_file(const vcl_string &plot_file, double min_x, double max_x, int n) const | pdf1d_pdf | |
| ~pdf1d_exponential() | pdf1d_exponential | [virtual] |
| ~pdf1d_pdf() | pdf1d_pdf | [virtual] |
1.7.5.1