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<div class="moz-cite-prefix">Le 09/08/2016 à 15:34, Dženan Zukić a écrit :<br>
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<blockquote cite="mid:CAPf2UMSJvekEodZRXoupoK77FPnhSkEJNrXJ_RxwrrJYM=qWYA@mail.gmail.com" type="cite">
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Hi François,</div>
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<br>
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have you seen <a moz-do-not-send="true" href="https://itk.org/Doxygen/html/group__FiniteDifferenceFunctions.html">
this</a> list?</div>
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<br>
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Regards,</div>
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Dženan</div>
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<div class="gmail_quote">On Tue, Aug 9, 2016 at 7:20 AM, <span dir="ltr"><<a moz-do-not-send="true" href="mailto:Francois.GIRINON@ensam.eu" target="_blank">Francois.GIRINON@ensam.eu</a>></span> wrote:<br>
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Hello,<br>
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I wondered if ITK already included some methods to compute finite differences approximation and in particular for MultipleValuedCostFunction ?<br>
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Thanks for any help,<br>
François.<br>
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<p>I've actually seen this, but what I'd like to do is computing for the 1 ... i parameters of a transformation :<br>
df/dpi = (f(pi + epsilon) - f(pi + epsilon))/ (2*epsilon)</p>
<p>where :</p>
<ul>
<li>f is a MultipleValuedCostFunction </li><li>pi , the ith parameter </li></ul>
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