| add_sample(const vector &s) | vpdl_kernel_base< T, n > | inlinevirtual |
| box_prob(const vector &min_pt, const vector &max_pt) const | vpdl_distribution< T, n > | virtual |
| clear_samples() | vpdl_kernel_base< T, n > | inlinevirtual |
| clone() const =0 | vpdl_distribution< T, n > | pure virtual |
| compute_covar(matrix &covar) const =0 | vpdl_distribution< T, n > | pure virtual |
| compute_mean(vector &mean) const | vpdl_kernel_base< T, n > | inlinevirtual |
| cumulative_prob(const vector &pt) const =0 | vpdl_distribution< T, n > | pure virtual |
| density(const vector &pt) const =0 | vpdl_distribution< T, n > | pure virtual |
| dimension() const | vpdl_kernel_base< T, n > | inlinevirtual |
| field_type typedef | vpdl_distribution< T, n > | |
| gradient_density(const vector &pt, vector &g) const =0 | vpdl_distribution< T, n > | pure virtual |
| inverse_cdf(const T &p) const | vpdl_distribution< T, n > | virtual |
| log_prob_density(const vector &pt) const | vpdl_distribution< T, n > | inlinevirtual |
| matrix typedef | vpdl_kernel_base< T, n > | |
| norm_const() const =0 | vpdl_distribution< T, n > | pure virtual |
| num_components() const | vpdl_kernel_base< T, n > | inlinevirtual |
| prob_density(const vector &pt) const | vpdl_distribution< T, n > | inlinevirtual |
| samples() const | vpdl_kernel_base< T, n > | inline |
| samples_ | vpdl_kernel_base< T, n > | private |
| set_samples(const std::vector< vector > &samplez) | vpdl_kernel_base< T, n > | inlinevirtual |
| vector typedef | vpdl_kernel_base< T, n > | |
| vpdl_kernel_base() | vpdl_kernel_base< T, n > | inline |
| vpdl_kernel_base(const std::vector< vector > &samplez) | vpdl_kernel_base< T, n > | inline |
| ~vpdl_distribution() | vpdl_distribution< T, n > | inlinevirtual |
| ~vpdl_multi_cmp_dist() | vpdl_multi_cmp_dist< T, n > | inlinevirtual |
