.. SPDX-FileCopyrightText: 2019-2020 Intel Corporation .. .. SPDX-License-Identifier: CC-BY-4.0 .. _onemkl_rng_cauchy: cauchy ====== Class is used for generation of Cauchy distributed real types random numbers. .. _onemkl_rng_cauchy_description: .. rubric:: Description The class object is used in the :ref:`oneapi::mkl::rng::generate()` function to provide random numbers Cauchy distributed with displacement :math:`a`, and scale parameter :math:`(b, \beta)`, where :math:`a, \beta \in R; \beta > 0`. The probability distribution is given by: .. math:: f_{a, \beta}(x) = \frac{1}{\pi\beta(1 + (\frac{x - a}{\beta})^2)}, x \in R. The cumulative distribution function is as follows: .. math:: F_{a, \beta}(x) = \frac{1}{2} + \frac{1}{\pi} \arctan{(\frac{x - a}{\beta})}, x \in R. .. _onemkl_rng_cauchy_syntax: class cauchy ------------ .. rubric:: Syntax .. code-block:: cpp namespace oneapi::mkl::rng { template class cauchy { public: using method_type = Method; using result_type = RealType; cauchy(); explicit cauchy(RealType a, RealType b); RealType a() const; RealType b() 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::cauchy_method::by_default Transformation method, which will be used for generation. Supported types: * ``oneapi::mkl::rng::cauchy_method::by_default`` * ``oneapi::mkl::rng::cauchy_method::icdf`` See description of the methods in :ref:`Distributions methods template parameter`. .. container:: section .. rubric:: Class Members .. list-table:: :header-rows: 1 * - Routine - Description * - `cauchy()`_ - Default constructor * - `explicit cauchy(RealType a, RealType b)`_ - Constructor with parameters * - `RealType a() const`_ - Method to obtain displacement value * - `RealType b() const`_ - Method to obtain scalefactor value .. container:: section .. rubric:: Member types .. container:: section .. code-block:: cpp cauchy::method_type = Method .. container:: section .. rubric:: Description The type which defines transformation method for generation. .. container:: section .. code-block:: cpp cauchy::result_type = RealType .. container:: section .. rubric:: Description The type which defines type of generated random numbers. .. container:: section .. rubric:: Constructors .. container:: section .. _`cauchy()`: .. code-block:: cpp cauchy::cauchy() .. container:: section .. rubric:: Description Default constructor for distribution, parameters set as `a` = 0.0, and `b` = 1.0. .. container:: section .. _`explicit cauchy(RealType a, RealType b)`: .. code-block:: cpp explicit cauchy::cauchy(RealType a, RealType b) .. container:: section .. rubric:: Description Constructor with parameters. `a` is a displacement value, `b` is a scalefactor value. .. container:: section .. rubric:: Throws oneapi::mkl::invalid_argument Exception is thrown when :math:`b \leq` static_cast(0.0) .. container:: section .. rubric:: Characteristics .. container:: section .. _`RealType a() const`: .. code-block:: cpp RealType cauchy::a() const .. container:: section .. rubric:: Return Value Returns the distribution parameter `a` - displacement value. .. container:: section .. _`RealType b() const`: .. code-block:: cpp RealType cauchy::b() const .. container:: section .. rubric:: Return Value Returns the distribution parameter `b` - scalefactor value. **Parent topic:** :ref:`onemkl_rng_distributions`