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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual eigdec
5 </title>
6 </head>
7 <body>
8 <H1> eigdec
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Sorted eigendecomposition
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 evals = eigdec(x, N)
20 [evals, evec] = eigdec(x, N)
21 </PRE>
22
23
24 <p><h2>
25 Description
26 </h2>
27
28 <CODE>evals = eigdec(x, N</CODE> computes the largest <CODE>N</CODE> eigenvalues of the
29 matrix <CODE>x</CODE> in descending order. <CODE>[evals, evec] = eigdec(x, N)</CODE>
30 also computes the corresponding eigenvectors.
31
32 <p><h2>
33 See Also
34 </h2>
35 <CODE><a href="pca.htm">pca</a></CODE>, <CODE><a href="ppca.htm">ppca</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>