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+<html>
+<head>
+<title>
+Netlab Reference Manual demgpot
+</title>
+</head>
+<body>
+<H1> demgpot
+</H1>
+<h2>
+Purpose
+</h2>
+Computes the gradient of the negative log likelihood for a mixture model.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+g = demgpot(x, mix)</PRE>
+
+
+<p><h2>
+Description
+</h2>
+This function computes the gradient of the negative log of the unconditional data
+density <CODE>p(x)</CODE> with respect to the coefficients of the
+data vector <CODE>x</CODE> for a Gaussian mixture model.  The data structure
+<CODE>mix</CODE> defines the mixture model, while the matrix <CODE>x</CODE> contains
+the data vector as a row vector. Note the unusual order of the arguments:
+this is so that the function can be used in <CODE>demhmc1</CODE> directly for
+sampling from the distribution <CODE>p(x)</CODE>.
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="demhmc1.htm">demhmc1</a></CODE>, <CODE><a href="demmet1.htm">demmet1</a></CODE>, <CODE><a href="dempot.htm">dempot</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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