Mercurial > hg > octave-nkf
annotate scripts/sparse/sprandn.m @ 17744:d63878346099
maint: Update copyright notices for release.
author | John W. Eaton <jwe@octave.org> |
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date | Wed, 23 Oct 2013 22:09:27 -0400 |
parents | 1c89599167a6 |
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1 ## Copyright (C) 2004-2013 Paul Kienzle |
5164 | 2 ## |
7016 | 3 ## This file is part of Octave. |
4 ## | |
5 ## Octave is free software; you can redistribute it and/or modify it | |
6 ## under the terms of the GNU General Public License as published by | |
7 ## the Free Software Foundation; either version 3 of the License, or (at | |
8 ## your option) any later version. | |
9 ## | |
10 ## Octave is distributed in the hope that it will be useful, but | |
11 ## WITHOUT ANY WARRANTY; without even the implied warranty of | |
12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
13 ## General Public License for more details. | |
14 ## | |
15 ## You should have received a copy of the GNU General Public License | |
16 ## along with Octave; see the file COPYING. If not, see | |
17 ## <http://www.gnu.org/licenses/>. | |
18 ## | |
19 ## Original version by Paul Kienzle distributed as free software in the | |
20 ## public domain. | |
5164 | 21 |
22 ## -*- texinfo -*- | |
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23 ## @deftypefn {Function File} {} sprandn (@var{m}, @var{n}, @var{d}) |
5610 | 24 ## @deftypefnx {Function File} {} sprandn (@var{s}) |
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25 ## Generate a random sparse matrix. The size of the matrix will be |
5164 | 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 |
5164 | 28 ## distributed with mean of zero and variance 1. |
29 ## | |
30 ## If called with a single matrix argument, a random sparse matrix is | |
31 ## generated wherever the matrix @var{S} is non-zero. | |
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32 ## @seealso{sprand, sprandsym} |
5164 | 33 ## @end deftypefn |
34 | |
35 ## Author: Paul Kienzle <pkienzle@users.sf.net> | |
36 | |
6498 | 37 function S = sprandn (m, n, d) |
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 |
6046 | 44 print_usage (); |
5164 | 45 endif |
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46 |
5164 | 47 endfunction |
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48 |
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49 |
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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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54 |
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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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61 |
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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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74 |
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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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