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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual gauss
5 </title>
6 </head>
7 <body>
8 <H1> gauss
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Evaluate a Gaussian distribution.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 y = gauss(mu, covar, x)
20 </PRE>
21
22
23 <p><h2>
24 Description
25 </h2>
26
27 <p><CODE>y = gauss(mu, covar, x)</CODE> evaluates a multi-variate Gaussian
28 density in <CODE>d</CODE>-dimensions at a set of points given by the rows
29 of the matrix <CODE>x</CODE>. The Gaussian density has mean vector <CODE>mu</CODE>
30 and covariance matrix <CODE>covar</CODE>.
31
32 <p><h2>
33 See Also
34 </h2>
35 <CODE><a href="gsamp.htm">gsamp</a></CODE>, <CODE><a href="demgauss.htm">demgauss</a></CODE><hr>
36 <b>Pages:</b>
37 <a href="index.htm">Index</a>
38 <hr>
39 <p>Copyright (c) Ian T Nabney (1996-9)
40
41
42 </body>
43 </html>