Mercurial > hg > octave-nkf
annotate scripts/polynomial/polyeig.m @ 15187:045ae93e8fe9
polyeig: return eigenvectors of the _correct_ size
author | Ed Meyer <eem2314@gmail.com> |
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date | Thu, 19 Jul 2012 04:53:34 +0100 |
parents | 504fec921af5 |
children | 2ad5e6212cd7 |
rev | line source |
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1 ## Copyright (C) 2012 Fotios Kasolis |
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2 ## |
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3 ## This file is part of Octave. |
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4 ## |
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5 ## Octave is free software; you can redistribute it and/or modify it |
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6 ## under the terms of the GNU General Public License as published by |
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7 ## the Free Software Foundation; either version 3 of the License, or (at |
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8 ## your option) any later version. |
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9 ## |
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10 ## Octave is distributed in the hope that it will be useful, but |
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11 ## WITHOUT ANY WARRANTY; without even the implied warranty of |
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12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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13 ## General Public License for more details. |
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14 ## |
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15 ## You should have received a copy of the GNU General Public License |
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16 ## along with Octave; see the file COPYING. If not, see |
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17 ## <http://www.gnu.org/licenses/>. |
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18 |
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19 ## -*- texinfo -*- |
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20 ## @deftypefn {Function File} {@var{z} =} polyeig (@var{C0}, @var{C1}, @dots{}, @var{Cl}) |
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21 ## @deftypefnx {Function File} {[ @var{v}, @var{z} ] =} polyeig (@var{C0}, @var{C1}, @dots{}, @var{Cl}) |
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22 ## Solve the polynomial eigenvalue problem of degree @var{l}. |
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23 ## |
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24 ## Given a @var{n*n} matrix polynomial @var{C(s)} = @var{C0 + C1 s + @dots{} + Cl s^l} polyeig |
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25 ## solves the eigenvalue problem (@var{C0} + @var{C1} + @dots{} + @var{Cl})v = 0. |
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26 ## Note that the eigenvalues @var{z} are the zeros of the matrix polynomial. @var{z} is a |
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27 ## @var{lxn} vector and @var{v} is a @var{(n x n)l} matrix with columns that correspond to |
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28 ## the eigenvectors. |
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29 ## @seealso{eig, eigs, compan} |
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30 ## @end deftypefn |
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31 |
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32 ## Author: Fotios Kasolis |
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33 |
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34 function [ z, varargout ] = polyeig (varargin) |
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35 |
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36 if ( nargout > 2 ) |
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37 print_usage (); |
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38 endif |
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39 |
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40 nin = numel (varargin); |
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41 |
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42 n = zeros (1, nin); |
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43 |
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44 for cnt = 1 : nin |
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45 if ! ( issquare (varargin{cnt}) ) |
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46 error ("polyeig: coefficients must be square matrices"); |
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47 endif |
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48 n(cnt) = size (varargin{cnt}, 1); |
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49 endfor |
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50 |
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51 if numel (unique (n)) > 1 |
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52 error ("polyeig: coefficients must have the same dimensions"); |
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53 endif |
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54 n = unique (n); |
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55 |
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56 # matrix polynomial degree |
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57 l = nin - 1; |
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58 |
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59 # form needed matrices |
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60 C = [ zeros(n * (l - 1), n), eye(n * (l - 1)); -cell2mat(varargin(1 : end - 1)) ]; |
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61 D = [ eye(n * (l - 1)), zeros(n * (l - 1), n); zeros(n, n * (l - 1)), varargin{end} ]; |
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62 |
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63 % solve generalized eigenvalue problem |
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64 if ( isequal (nargout, 1) ) |
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65 z = eig (C, D); |
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66 else |
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67 [ z, v ] = eig (C, D); |
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68 varargout{1} = v; |
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69 % return n-element eigenvectors normalized so |
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70 % that the infinity-norm = 1 |
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71 z = z(1:n,:); |
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72 % max() takes the abs if complex: |
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73 t = max(z); |
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74 z /= diag(t); |
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75 endif |
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76 |
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77 endfunction |
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78 |
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79 %!test |
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80 %! C0 = [8, 0; 0, 4]; C1 = [1, 0; 0, 1]; |
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81 %! [v,z] = polyeig (C0, C1); |
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82 %! assert (isequal (z(1), -8), true); |
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83 %! d = C0*v + C1*v*z |
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84 %! assert (isequal (norm(d), 0.0), true); |