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| author | Daniel Wolff |
|---|---|
| date | Fri, 19 Aug 2016 13:07:06 +0200 |
| parents | |
| children |
| rev | line source |
|---|---|
| Daniel@0 | 1 <html> |
| Daniel@0 | 2 <head> |
| Daniel@0 | 3 <title> |
| Daniel@0 | 4 Netlab Reference Manual gsamp |
| Daniel@0 | 5 </title> |
| Daniel@0 | 6 </head> |
| Daniel@0 | 7 <body> |
| Daniel@0 | 8 <H1> gsamp |
| Daniel@0 | 9 </H1> |
| Daniel@0 | 10 <h2> |
| Daniel@0 | 11 Purpose |
| Daniel@0 | 12 </h2> |
| Daniel@0 | 13 Sample from a Gaussian distribution. |
| Daniel@0 | 14 |
| Daniel@0 | 15 <p><h2> |
| Daniel@0 | 16 Synopsis |
| Daniel@0 | 17 </h2> |
| Daniel@0 | 18 <PRE> |
| Daniel@0 | 19 x = gsamp(mu, covar, nsamp) |
| Daniel@0 | 20 </PRE> |
| Daniel@0 | 21 |
| Daniel@0 | 22 |
| Daniel@0 | 23 <p><h2> |
| Daniel@0 | 24 Description |
| Daniel@0 | 25 </h2> |
| Daniel@0 | 26 |
| Daniel@0 | 27 <p><CODE>x = gsamp(mu, covar, nsamp)</CODE> generates a sample of size <CODE>nsamp</CODE> |
| Daniel@0 | 28 from a <CODE>d</CODE>-dimensional Gaussian distribution. The Gaussian density |
| Daniel@0 | 29 has mean vector <CODE>mu</CODE> and covariance matrix <CODE>covar</CODE>, and the |
| Daniel@0 | 30 matrix <CODE>x</CODE> has <CODE>nsamp</CODE> rows in which each row represents a |
| Daniel@0 | 31 <CODE>d</CODE>-dimensional sample vector. |
| Daniel@0 | 32 |
| Daniel@0 | 33 <p><h2> |
| Daniel@0 | 34 See Also |
| Daniel@0 | 35 </h2> |
| Daniel@0 | 36 <CODE><a href="gauss.htm">gauss</a></CODE>, <CODE><a href="demgauss.htm">demgauss</a></CODE><hr> |
| Daniel@0 | 37 <b>Pages:</b> |
| Daniel@0 | 38 <a href="index.htm">Index</a> |
| Daniel@0 | 39 <hr> |
| Daniel@0 | 40 <p>Copyright (c) Ian T Nabney (1996-9) |
| Daniel@0 | 41 |
| Daniel@0 | 42 |
| Daniel@0 | 43 </body> |
| Daniel@0 | 44 </html> |