Modélisation U
==============

On prend les mêmes hypothèses que la modélisation E mais avec FORMULATION = 'U_P'.


Valeurs testées
---------------


.. csv-table::

    "**Localisation**", "**Grandeurs**", "**Référence**", "**% différence**"
    ":math:`A`", ":math:`p(\mathit{réel})`
    :math:`p(\mathit{imag})`
    :math:`p(\mathit{dB})`", "–6.2426
    0.0
    109.8867", "0.1%
    0.1%
    0.1%"
    ":math:`B`", ":math:`p(\mathit{réel})`
    :math:`p(\mathit{imag})`
    :math:`p(\mathit{dB})`", "–6.2426
    0.0
    109.8867", "0.1%
    0.1%
    0.1%"
    ":math:`C`", ":math:`p(\mathit{réel})`
    :math:`p(\mathit{imag})`
    :math:`p(\mathit{dB})`", "6.0237
    1.6387
    109.8867", "0.1%
    0.1%
    0.1%"
    ":math:`D`", ":math:`p(\mathit{réel})`
    :math:`p(\mathit{imag})`
    :math:`p(\mathit{dB})`", "6.0237
    1.6387
    109.8867", "0.1%
    0.1%
    0.1%"