Class piecewise_linear_distribution_t

• Defined in File piecewise_linear_distribution.hpp

Inheritance Relationships

Base Type

• public wt::distribution1d_t (Class distribution1d_t)

Class Documentation

class piecewise_linear_distribution_t : public wt::distribution1d_t

Continuos piecewise-linear distribution.

Public Functions

inline explicit piecewise_linear_distribution_t(std::vector<vec2_t> values)

Construct a piecewise_linear_distribution_t.

Parameters:

values – non negative values, with x in strictly ascending order

piecewise_linear_distribution_t(piecewise_linear_distribution_t&&) noexcept = default

piecewise_linear_distribution_t(const piecewise_linear_distribution_t&) noexcept = default

piecewise_linear_distribution_t &operator=(piecewise_linear_distribution_t&&) noexcept = default

piecewise_linear_distribution_t &operator=(const piecewise_linear_distribution_t&) noexcept = default

inline virtual std::unique_ptr<distribution1d_t> clone() const override

inline auto total() const noexcept

inline auto range() const noexcept

inline auto &operator[](std::size_t idx)

inline const auto &operator[](std::size_t idx) const

inline auto size() const noexcept

inline auto begin() noexcept

inline auto end() noexcept

inline auto begin() const noexcept

inline auto end() const noexcept

inline auto &front() noexcept

inline auto &back() noexcept

inline const auto &front() const noexcept

inline const auto &back() const noexcept

inline auto cbegin() const noexcept

inline auto cend() const noexcept

inline auto crbegin() const noexcept

inline auto crend() const noexcept

inline auto rbegin() noexcept

inline auto rend() noexcept

inline auto rbegin() const noexcept

inline auto rend() const noexcept

inline auto operator+(const piecewise_linear_distribution_t &d) const noexcept

inline f_t value(f_t x) const noexcept

Value at position.

Parameters:

x – position

Returns:

Piece-wise linearly interpolated value

inline f_t integrate(f_t x0, f_t x1) const noexcept

Integrate the distribution between x0 and x1.

Parameters:

• x0 – integrate from

• x1 – integrate to

inline virtual f_t pdf(f_t x, measure_e measure = measure_e::continuos) const noexcept final

PDF.

Parameters:

x – value

Returns:

PDF of the distribution at x

inline vec2_t icdf(f_t v) const noexcept

Inverse CDF.

Parameters:

v – CDF values in range [0,1]

Returns:

value

inline virtual sample_ret_t sample(sampler::sampler_t &sampler) const noexcept final

Sample from the distribution.