.. SPDX-FileCopyrightText: 2019-2020 Intel Corporation .. .. SPDX-License-Identifier: CC-BY-4.0 .. _onemkl_rng_chi_square: chi_square ========== Class is used for generation of chi-square distributed real types random numbers. .. _onemkl_rng_chi_square_description: .. rubric:: Description The class object is used in the :ref:`oneapi::mkl::rng::generate()` function to provide random numbers chi-square distributed with :math:`n` degrees of freedom, :math:`n \in N; n > 0`. The probability distribution is given by: .. math:: f_{n}(x) = \left\{ \begin{array}{rcl} \frac{x^{\frac{n - 2}{2}}e^{-\frac{x}{2}}}{2^{n/2}\Gamma(n/2)}, x \ge 0 \\ 0, x < 0 \end{array}\right. The cumulative distribution function is as follows: .. math:: F_{n}(x) = \left\{ \begin{array}{rcl} \int^{x}_{0}\frac{y^{\frac{n - 2}{2}}e^{-\frac{x}{2}}}{2^{n/2}\Gamma(n/2)}dy, x \ge 0 \\ 0, x < 0 \end{array}\right. .. _onemkl_rng_chi_square_syntax: class chi_square ---------------- .. rubric:: Syntax .. code-block:: cpp namespace oneapi::mkl::rng { template class chi_square { public: using method_type = Method; using result_type = RealType; chi_square(); explicit chi_square(std::int32_t n); std::int32_t n() const; }; } .. container:: section .. rubric:: Template parameters .. container:: section typename RealType Type of the produced values. Supported types: * ``float`` * ``double`` .. container:: section typename Method = oneapi::mkl::rng::chi_square_method::by_default Transformation method, which will be used for generation. Supported types: * ``oneapi::mkl::rng::chi_square_method::by_default`` * ``oneapi::mkl::rng::chi_square_method::gamma_based`` See description of the methods in :ref:`Distributions methods template parameter`. .. container:: section .. rubric:: Class Members .. list-table:: :header-rows: 1 * - Routine - Description * - `chi_square()`_ - Default constructor * - `explicit chi_square(std::int32_t n)`_ - Constructor with parameters * - `std::int32_t n() const`_ - Method to obtain number of degrees of freedom `n` .. container:: section .. rubric:: Member types .. container:: section .. code-block:: cpp chi_square::method_type = Method .. container:: section .. rubric:: Description The type which defines transformation method for generation. .. container:: section .. code-block:: cpp chi_square::result_type = RealType .. container:: section .. rubric:: Description The type which defines type of generated random numbers. .. container:: section .. rubric:: Constructors .. container:: section .. _`chi_square()`: .. code-block:: cpp chi_square::chi_square() .. container:: section .. rubric:: Description Default constructor for distribution, parameters set as `n` = 5. .. container:: section .. _`explicit chi_square(std::int32_t n)`: .. code-block:: cpp explicit chi_square::chi_square(std::int32_t n) .. container:: section .. rubric:: Description Constructor with parameters. `n` is the number of degrees of freedom. .. container:: section .. rubric:: Throws oneapi::mkl::invalid_argument Exception is thrown when :math:`n < 1` .. container:: section .. rubric:: Characteristics .. container:: section .. _`std::int32_t n() const`: .. code-block:: cpp std::int32_t chi_square::n() const .. container:: section .. rubric:: Return Value Returns the distribution parameter `n` - number of degrees of freedom. **Parent topic:** :ref:`onemkl_rng_distributions`