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