Hi Kshitij,<div><br></div><div>Thanks for your reply. I'll have to retape then. Speaking of which, what's the best way of doing that? I guess I'll have to re-run the code from trace_on to trace_off, right?</div>
<div>On another subject: I know function x.value() extracts the real component of an active variable x; is there an analogous function to extract the derivatives of that active variable with respect to the inputs?</div><div>
Thanks.</div><div><br></div><div>Regards,</div><div>Alfonso<br><br><div class="gmail_quote">El 29 de febrero de 2012 09:02, Kshitij Kulshreshtha <span dir="ltr"><<a href="mailto:kshitij@math.upb.de">kshitij@math.upb.de</a>></span> escribió:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hello,<br>
<br>
the only way to change passive parameters is to retrace the whole<br>
function computation. These are hardwired constants as far as ADOL-C are<br>
concerned once tracing was completed.<br>
<br>
Regards<br>
Kshitij.<br>
<div class="im"><br>
As on 2012-02-28 17:11, Alfonso Callejo did write:<br>
> Hello everyone,<br>
><br>
> This might be a basic question.<br>
</div>> Let y=f(x, /extra_arguments/) be the function I want to differentiate,<br>
<div class="im">> being y of length m and x of size n.<br>
> The expression for the Jacobian matrix, once the tape has been<br>
> appropriately generated, is: returnValue = jacobian(tag, m, n, x, DyDx);<br>
</div>> Assume the /extra_arguments /are extra passive arguments that take part<br>
<div class="im">> in the computation of y but which don't belong to the vector of<br>
</div>> independent variables x. Provided the value of the /extra_arguments/ has<br>
<div class="im">> changed and I want to re-evaluate the Jacobian matrix, how am I supposed<br>
> to provide them to the Jacobian driver?<br>
> Thanks a lot.<br>
><br>
> Regards,<br>
> Alfonso<br>
><br>
><br>
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