.. _oneapi-mkl-rng-chi_square: oneapi::mkl::rng::chi_square ============================ Generates chi-square distributed random values. .. contents:: :local: :depth: 1 Description *********** The ``oneapi::mkl::rng::chi_square`` class object is used in the ``oneapi::mkl::rng::generate`` function to provide random numbers with chi-square distribution and ``ν`` degrees of freedom, ``n``\ ∈\ *N*, ``n`` > 0. The probability density function is: .. math:: F_{v}(x) = \begin{cases} \frac {x^{\frac {n-2}{2}} e^{-\frac{x}{2}}} {2^{n/2} \Gamma (\frac {n}{2})} dy, & x \geq 0 \\ 0, & x < 0 \end{cases} The cumulative distribution function is: .. math:: F_{v}(x) = \begin{cases} \int _{0}^{x} \frac {y^{\frac {n-2}{2}} e^{-\frac{n}{2}}} {2^{n/2} \Gamma (\frac {n}{2})} dy, & x \geq 0 \\ 0, & x < 0 \end{cases} API *** Syntax ------ .. code-block:: cpp template class chi_square { public: using method_type = Method; using result_type = RealType; chi_square(): chi_square(5){} explicit chi_square(std::int32_t n); explicit chi_square(const param_type& pt); std::int32_t n() const; param_type param() const; void param(const param_type& pt); }; Devices supported: Host, CPU, and GPU. Include Files ------------- - ``oneapi/mkl/rng.hpp`` Template Parameters ------------------- .. list-table:: :header-rows: 0 * - ``typename RealType = float`` - Type of the produced values. The specific values are as follows: ``float`` ``double`` * - ``typename Method = oneamkl::rng::chi_square_method::by_default`` - Generation method. The specific values are as follows: ``oneapi::mkl::rng::chi_square_method::gamma_based`` See brief descriptions of the methods in :ref:`distributions-template-parameter-method`. Input Parameters ---------------- .. list-table:: :header-rows: 1 * - Name - Type - Description * - n - ``std::int32_t`` - Degrees of freedom.