A distribution that generates discrete Poisson-distributed variates.
Declared in <absl/random/poisson_distribution.h>
template<typename IntType = int>
class poisson_distribution;Generates discrete variates conforming to a Poisson distribution. p(n) = (mean^n / n!) exp(-mean)
Depending on the parameter, the distribution selects one of the following algorithms: * The standard algorithm, attributed to Knuth, extended using a split method for larger values * The "Ratio of Uniforms as a convenient method for sampling from classical discrete distributions", Stadlober, 1989. http://www.sciencedirect.com/science/article/pii/0377042790903495
NOTE: param_type.mean() is a double, which permits values larger than poisson_distribution<IntType>::max(), however this should be avoided and the distribution results are limited to the max() value.
The goals of this implementation are to provide good performance while still being thread-safe: This limits the implementation to not using lgamma provided by <math.h>.
| Name | Description |
|---|---|
param_type | The parameter set of the distribution. |
| Name | Description |
|---|---|
result_type | The type of the values produced by the distribution. |
| Name | Description |
|---|---|
poisson_distribution [constructor] | Constructors |
max | Returns the largest value the distribution can produce. |
mean | Returns the mean of the distribution. |
min | Returns the smallest value the distribution can produce. |
operator() | Function call operators |
param | param overloads |
reset | Resets the internal state of the distribution. |
| Name | Description |
|---|---|
absl::operator!= | Compares two distributions for inequality. |
absl::operator== | Compares two distributions for equality. |