https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Proppe_2021aProppe 2021a - Revision history2026-04-23T09:06:43ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Proppe_2021a&diff=219736&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 743654575 to Proppe 2021a2021-03-11T16:33:40Z<p>Scipediacontent moved page <a href="/public/Draft_Content_743654575" class="mw-redirect" title="Draft Content 743654575">Draft Content 743654575</a> to <a href="/public/Proppe_2021a" title="Proppe 2021a">Proppe 2021a</a></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<tr style='vertical-align: top;' lang='en'>
<td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 16:33, 11 March 2021</td>
</tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div>
</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Proppe_2021a&diff=219735&oldid=prevScipediacontent: Created page with "== Abstract == Local reliability sensitivity methods aim at determining the partial derivatives of the failure probability or the reliability index with respect to model para..."2021-03-11T16:33:37Z<p>Created page with "== Abstract == Local reliability sensitivity methods aim at determining the partial derivatives of the failure probability or the reliability index with respect to model para..."</p>
<p><b>New page</b></p><div>== Abstract ==<br />
<br />
Local reliability sensitivity methods aim at determining the partial derivatives of the failure probability or the reliability index with respect to model parameters. For efficient local reliability based sensitivity analysis, it is important to avoid repeated evaluations of the performance function. To this end, an extension of the moving particles method to local reliability based sensitivity analysis is presented that is completely based on the already evaluated samples for the reliability estimate and thus avoids repeated evaluations of the performance function. In order to further reduce the variance of the estimator and to increase the efficiency, a multilevel variant of the estimator is proposed. The method is discussed in detail and illustrated by means of examples.<br />
<br />
== Full document ==<br />
<pdf>Media:Draft_Content_743654575p4931.pdf</pdf></div>Scipediacontent