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+<html>
+<head>
+<title>
+Netlab Reference Manual mlphdotv
+</title>
+</head>
+<body>
+<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)
+
+
+</body>
+</html>
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