Mercurial > hg > octave-nkf
annotate scripts/sparse/sprandn.m @ 18724:35a5e7740a6d
Added implementation for 4th argument of sprand/sprandn (bug #41839).
* __sprand_impl__.m: Implementation done here
* sprand.m: Added documentation and some tests.
* sprandn.m: Added documentation and some tests.
author | Eduardo Ramos (edu159) <eduradical951@gmail.com> |
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date | Sat, 22 Mar 2014 13:23:41 +0100 |
parents | d63878346099 |
children | 54a1e95365e1 |
rev | line source |
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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}) |
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24 ## @deftypefnx {Function File} {} sprandn (@var{m}, @var{n}, @var{d}, @var{rc}) |
5610 | 25 ## @deftypefnx {Function File} {} sprandn (@var{s}) |
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26 ## Generate a random sparse matrix. The size of the matrix will be |
5164 | 27 ## @var{m} by @var{n}, with a density of values given by @var{d}. |
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28 ## @var{d} should be between 0 and 1. Values will be normally |
5164 | 29 ## distributed with mean of zero and variance 1. |
30 ## | |
31 ## If called with a single matrix argument, a random sparse matrix is | |
32 ## generated wherever the matrix @var{S} is non-zero. | |
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33 ## |
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34 ## If called with the rc parameter, then a random sparse matrix with a |
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35 ## reciprocal condition number rc is generated if rc is scalar. If rc |
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36 ## is a vector, then it contains the first singular values of the matrix |
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37 ## generated (length(rc) <= min(m, n)). |
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38 ## |
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39 ## @seealso{sprand, sprandsym} |
5164 | 40 ## @end deftypefn |
41 | |
42 ## Author: Paul Kienzle <pkienzle@users.sf.net> | |
43 | |
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44 function S = sprandn (m, n, d, rc) |
6498 | 45 |
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46 if (nargin == 1 ) |
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47 S = __sprand_impl__ (m, @randn); |
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48 elseif ( nargin == 3) |
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49 S = __sprand_impl__ (m, n, d, "sprandn", @randn); |
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50 elseif (nargin == 4) |
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51 S = __sprand_impl__ (m, n, d, rc, "sprandn", @randn); |
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52 else |
6046 | 53 print_usage (); |
5164 | 54 endif |
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55 |
5164 | 56 endfunction |
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57 |
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58 |
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59 %!test |
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60 %! s = sprandn (4, 10, 0.1); |
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61 %! assert (size (s), [4, 10]); |
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62 %! assert (nnz (s) / numel (s), 0.1); |
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63 |
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64 %% Test 1-input calling form |
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65 %!test |
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66 %! s = sprandn (sparse ([1 2 3], [3 2 3], [2 2 2])); |
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67 %! [i, j] = find (s); |
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68 %! assert (sort (i), [1 2 3]'); |
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69 %! assert (sort (j), [2 3 3]'); |
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70 |
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71 %% Test 4-input calling form |
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72 %!test |
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73 %! d = rand(); |
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74 %! s1 = sprandn (100, 100, d, 0.4); |
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75 %! rc = [5, 4, 3, 2, 1, 0.1]; |
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76 %! s2 = sprandn (100, 100, d, rc); |
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77 %! s3 = sprandn (6, 4, d, rc); |
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78 %! assert (svd (s2)'(1:length (rc)), rc, sqrt (eps)); |
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79 %! assert (1/cond (s1), 0.4, sqrt (eps)); |
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80 %! assert (nnz (s1) / (100*100), d, 0.02); |
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81 %! assert (nnz (s2) / (100*100), d, 0.02); |
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82 %! assert (svd (s3)', [5 4 3 2], sqrt (eps)); |
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83 |
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84 %% Test input validation |
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85 %!error sprandn () |
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86 %!error sprandn (1, 2) |
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87 %!error sprandn (1, 2, 3, 4) |
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88 %!error sprandn (ones (3), 3, 0.5) |
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89 %!error sprandn (3.5, 3, 0.5) |
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90 %!error sprandn (0, 3, 0.5) |
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91 %!error sprandn (3, ones (3), 0.5) |
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92 %!error sprandn (3, 3.5, 0.5) |
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93 %!error sprandn (3, 0, 0.5) |
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94 %!error sprandn (3, 3, -1) |
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95 %!error sprandn (3, 3, 2) |
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96 %!error sprandn (2, 2, 0.2, -1) |
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97 %!error sprandn (2, 2, 0.2, 2) |
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98 |
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99 %% Test very large, very low density matrix doesn't fail |
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100 %!test |
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101 %! s = sprandn(1e6,1e6,1e-7); |
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