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<title>
Netlab Reference Manual mlphdotv
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<H1> mlphdotv
</H1>
<h2>
Purpose
</h2>
Evaluate the product of the data Hessian with a vector.
<p><h2>
Synopsis
</h2>
<PRE>
hdv = mlphdotv(net, x, t, v)</PRE>
<p><h2>
Description
</h2>
<p><CODE>hdv = mlphdotv(net, x, t, v)</CODE> takes an MLP network data structure
<CODE>net</CODE>, together with the matrix <CODE>x</CODE> of input vectors, the
matrix <CODE>t</CODE> of target vectors and an arbitrary row vector <CODE>v</CODE>
whose length equals the number of parameters in the network, and
returns the product of the data-dependent contribution to the Hessian
matrix with <CODE>v</CODE>. The implementation is based on the R-propagation
algorithm of Pearlmutter.
<p><h2>
See Also
</h2>
<CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="mlphess.htm">mlphess</a></CODE>, <CODE><a href="hesschek.htm">hesschek</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)
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