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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 densityhas mean vector <CODE>mu</CODE> and covariance matrix <CODE>covar</CODE>, and thematrix <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>⌨️ 快捷键说明
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