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maint: Update copyright notices for release.
author John W. Eaton <jwe@octave.org>
date Wed, 23 Oct 2013 22:09:27 -0400
parents 1c89599167a6
children 35a5e7740a6d 53af80da6781
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d63878346099 maint: Update copyright notices for release.
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1 ## Copyright (C) 2004-2013 Paul Kienzle
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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 ## Original version by Paul Kienzle distributed as free software in the
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20 ## public domain.
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21
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22 ## -*- texinfo -*-
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23 ## @deftypefn {Function File} {} sprandn (@var{m}, @var{n}, @var{d})
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24 ## @deftypefnx {Function File} {} sprandn (@var{s})
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25 ## Generate a random sparse matrix. The size of the matrix will be
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26 ## @var{m} by @var{n}, with a density of values given by @var{d}.
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27 ## @var{d} should be between 0 and 1. Values will be normally
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28 ## distributed with mean of zero and variance 1.
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29 ##
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30 ## If called with a single matrix argument, a random sparse matrix is
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31 ## generated wherever the matrix @var{S} is non-zero.
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32 ## @seealso{sprand, sprandsym}
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33 ## @end deftypefn
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34
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35 ## Author: Paul Kienzle <pkienzle@users.sf.net>
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36
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37 function S = sprandn (m, n, d)
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38
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39 if (nargin == 1 )
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40 S = __sprand_impl__ (m, @randn);
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41 elseif ( nargin == 3)
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42 S = __sprand_impl__ (m, n, d, "sprandn", @randn);
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43 else
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44 print_usage ();
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45 endif
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46
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47 endfunction
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50 %!test
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51 %! s = sprandn (4, 10, 0.1);
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52 %! assert (size (s), [4, 10]);
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53 %! assert (nnz (s) / numel (s), 0.1);
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55 %% Test 1-input calling form
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56 %!test
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57 %! s = sprandn (sparse ([1 2 3], [3 2 3], [2 2 2]));
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58 %! [i, j] = find (s);
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59 %! assert (sort (i), [1 2 3]');
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60 %! assert (sort (j), [2 3 3]');
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62 %% Test input validation
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63 %!error sprandn ()
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64 %!error sprandn (1, 2)
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65 %!error sprandn (1, 2, 3, 4)
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66 %!error sprandn (ones (3), 3, 0.5)
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67 %!error sprandn (3.5, 3, 0.5)
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68 %!error sprandn (0, 3, 0.5)
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69 %!error sprandn (3, ones (3), 0.5)
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70 %!error sprandn (3, 3.5, 0.5)
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71 %!error sprandn (3, 0, 0.5)
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72 %!error sprandn (3, 3, -1)
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73 %!error sprandn (3, 3, 2)
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75 %% Test very large, very low density matrix doesn't fail
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76 %!test
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77 %! s = sprandn(1e6,1e6,1e-7);
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