.. _auto_math_random:

*GENERATE A RANDOM NUMBER*
==========================

Generates a single pseudo-random floating-point number uniformly distributed between a specified minimum and maximum value. Use this worker wherever a stochastic scalar is needed inside a workflow, such as random noise injection or Monte Carlo sampling steps.

When to use
-----------

Classification: **process**.

Tagged: ``math``, ``monte_carlo``, ``mt_rand``, ``random``, ``scalar``, ``stochastic``, ``uniform``.

Inputs
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Min Value
     - min_value
     - scalar
     - 0
     - ✓
     - Lower bound of the random number range (inclusive); dimensionless scalar, default 0.
   * - Max Value
     - max_value
     - scalar
     - 1
     - ✓
     - Upper bound of the random number range (exclusive); dimensionless scalar, default 1.

Outputs
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - Label
     - ID
     - Type
     - Description
   * - math_random_output_1
     - math_random_output_1
     - scalar
     - A single pseudo-random floating-point number drawn from a uniform distribution over [min_value, max_value).

Disciplines
-----------

- data.statistics
- design_exploration.reliability

Runnable example
----------------

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=math_random <https://www.d3view.com/api/workflow/example?id=math_random>`_

.. raw:: html

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   <p style="font-size:11px;color:#888">
   Auto-generated from <code>transformation</code> schema. Worker id: <code>math_random</code>. Schema hash: <code>8e4cb13c40c9</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>