| box_prob(const vector &min_pt, const vector &max_pt) const | vpdl_distribution< T, n > | virtual |
| clone() const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| compute_covar(matrix &covar) const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| compute_mean(vector &mean_val) const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| covar_type typedef | vpdl_gaussian_indep< T, n > | |
| covariance() const | vpdl_gaussian_indep< T, n > | inline |
| cumulative_prob(const vector &pt) const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| density(const vector &pt) const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| dimension() const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| field_type typedef | vpdl_distribution< T, n > | |
| gradient_density(const vector &pt, vector &g) const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| impl_ | vpdl_gaussian_indep< T, n > | protected |
| inverse_cdf(const T &p) const | vpdl_distribution< T, n > | virtual |
| log_prob_density(const vector &pt) const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| matrix typedef | vpdl_gaussian_indep< T, n > | |
| mean() const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| norm_const() const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| prob_density(const vector &pt) const | vpdl_gaussian_indep< T, n > | inlinevirtual |
| set_covariance(const covar_type &var) | vpdl_gaussian_indep< T, n > | inline |
| set_mean(const vector &mean_val) | vpdl_gaussian_indep< T, n > | inlinevirtual |
| sqr_mahal_dist(const vector &pt) const | vpdl_gaussian_indep< T, n > | inline |
| vector typedef | vpdl_gaussian_indep< T, n > | |
| vpdl_gaussian_indep(unsigned int var_dim=n) | vpdl_gaussian_indep< T, n > | inline |
| vpdl_gaussian_indep(const vector &mean_val, const covar_type &var) | vpdl_gaussian_indep< T, n > | inline |
| ~vpdl_distribution() | vpdl_distribution< T, n > | inlinevirtual |
| ~vpdl_gaussian_base() | vpdl_gaussian_base< T, n > | inlinevirtual |
| ~vpdl_gaussian_indep() | vpdl_gaussian_indep< T, n > | inlinevirtual |
