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+<html>
+<head>
+<title>
+Netlab Reference Manual gsamp
+</title>
+</head>
+<body>
+<H1> gsamp
+</H1>
+<h2>
+Purpose
+</h2>
+Sample from a Gaussian distribution.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+x = gsamp(mu, covar, nsamp)
+</PRE>
+
+
+<p><h2>
+Description
+</h2>
+
+<p><CODE>x = gsamp(mu, covar, nsamp)</CODE> generates a sample of size <CODE>nsamp</CODE>
+from a <CODE>d</CODE>-dimensional Gaussian distribution. The Gaussian density
+has mean vector <CODE>mu</CODE> and covariance matrix <CODE>covar</CODE>, and the
+matrix <CODE>x</CODE> has <CODE>nsamp</CODE> rows in which each row represents a
+<CODE>d</CODE>-dimensional sample vector.  
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="gauss.htm">gauss</a></CODE>, <CODE><a href="demgauss.htm">demgauss</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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