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author | Daniel Wolff |
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date | Fri, 19 Aug 2016 13:07:06 +0200 |
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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>