Mercurial > octave-dspies
comparison scripts/sparse/sprand.m @ 18589:35a5e7740a6d
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 |
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18588:5032ac119d52 | 18589:35a5e7740a6d |
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19 ## Original version by Paul Kienzle distributed as free software in the | 19 ## Original version by Paul Kienzle distributed as free software in the |
20 ## public domain. | 20 ## public domain. |
21 | 21 |
22 ## -*- texinfo -*- | 22 ## -*- texinfo -*- |
23 ## @deftypefn {Function File} {} sprand (@var{m}, @var{n}, @var{d}) | 23 ## @deftypefn {Function File} {} sprand (@var{m}, @var{n}, @var{d}) |
24 ## @deftypefnx {Function File} {} sprand (@var{m}, @var{n}, @var{d}, @var{rc}) | |
24 ## @deftypefnx {Function File} {} sprand (@var{s}) | 25 ## @deftypefnx {Function File} {} sprand (@var{s}) |
25 ## Generate a random sparse matrix. The size of the matrix will be | 26 ## Generate a random sparse matrix. The size of the matrix will be |
26 ## @var{m} by @var{n}, with a density of values given by @var{d}. | 27 ## @var{m} by @var{n}, with a density of values given by @var{d}. |
27 ## @var{d} should be between 0 and 1. Values will be uniformly | 28 ## @var{d} should be between 0 and 1. Values will be uniformly |
28 ## distributed between 0 and 1. | 29 ## distributed between 0 and 1. |
29 ## | 30 ## |
30 ## If called with a single matrix argument, a random sparse matrix is | 31 ## If called with a single matrix argument, a random sparse matrix is |
31 ## generated wherever the matrix @var{S} is non-zero. | 32 ## generated wherever the matrix @var{S} is non-zero. |
33 ## | |
34 ## If called with the rc parameter as a scalar, a random sparse matrix with a | |
35 ## reciprocal condition number rc is generated. If rc is a vector, then it | |
36 ## contains the first singular values of the matrix generated (length(rc) <= min(m, n)). | |
37 ## | |
32 ## @seealso{sprandn, sprandsym} | 38 ## @seealso{sprandn, sprandsym} |
33 ## @end deftypefn | 39 ## @end deftypefn |
34 | 40 |
35 ## Author: Paul Kienzle <pkienzle@users.sf.net> | 41 ## Author: Paul Kienzle <pkienzle@users.sf.net> |
36 ## | 42 ## |
40 ## 2004-09-27 use Paul's hint to allow larger random matrices | 46 ## 2004-09-27 use Paul's hint to allow larger random matrices |
41 ## at the price of sometimes lower density than desired | 47 ## at the price of sometimes lower density than desired |
42 ## David Bateman | 48 ## David Bateman |
43 ## 2004-10-20 Texinfo help and copyright message | 49 ## 2004-10-20 Texinfo help and copyright message |
44 | 50 |
45 function S = sprand (m, n, d) | 51 function S = sprand (m, n, d, rc) |
46 | 52 |
47 if (nargin == 1 ) | 53 if (nargin == 1 ) |
48 S = __sprand_impl__ (m, @rand); | 54 S = __sprand_impl__ (m, @rand); |
49 elseif ( nargin == 3) | 55 elseif ( nargin == 3) |
50 S = __sprand_impl__ (m, n, d, "sprand", @rand); | 56 S = __sprand_impl__ (m, n, d, "sprand", @rand); |
57 elseif (nargin == 4) | |
58 S = __sprand_impl__ (m, n, d, rc, "sprand", @rand); | |
51 else | 59 else |
52 print_usage (); | 60 print_usage (); |
53 endif | 61 endif |
54 | 62 |
55 endfunction | 63 endfunction |
66 %! [i, j, v] = find (s); | 74 %! [i, j, v] = find (s); |
67 %! assert (sort (i), [1 2 3]'); | 75 %! assert (sort (i), [1 2 3]'); |
68 %! assert (sort (j), [2 3 3]'); | 76 %! assert (sort (j), [2 3 3]'); |
69 %! assert (all (v > 0 & v < 1)); | 77 %! assert (all (v > 0 & v < 1)); |
70 | 78 |
79 %% Test 4-input calling form | |
80 %!test | |
81 %! d = rand(); | |
82 %! s1 = sprand (100, 100, d, 0.4); | |
83 %! rc = [5, 4, 3, 2, 1, 0.1]; | |
84 %! s2 = sprand (100, 100, d, rc); | |
85 %! s3 = sprand (6, 4, d, rc); | |
86 %! assert (svd (s2)'(1:length (rc)), rc, sqrt (eps)); | |
87 %! assert (1/cond (s1), 0.4, sqrt (eps)); | |
88 %! assert (nnz (s1) / (100*100), d, 0.02); | |
89 %! assert (nnz (s2) / (100*100), d, 0.02); | |
90 %! assert (svd (s3)', [5 4 3 2], sqrt (eps)); | |
91 | |
71 %% Test input validation | 92 %% Test input validation |
72 %!error sprand () | 93 %!error sprand () |
73 %!error sprand (1, 2) | 94 %!error sprand (1, 2) |
74 %!error sprand (1, 2, 3, 4) | 95 %!error sprand (1, 2, 3, 4) |
75 %!error sprand (ones (3), 3, 0.5) | 96 %!error sprand (ones (3), 3, 0.5) |
78 %!error sprand (3, ones (3), 0.5) | 99 %!error sprand (3, ones (3), 0.5) |
79 %!error sprand (3, 3.5, 0.5) | 100 %!error sprand (3, 3.5, 0.5) |
80 %!error sprand (3, 0, 0.5) | 101 %!error sprand (3, 0, 0.5) |
81 %!error sprand (3, 3, -1) | 102 %!error sprand (3, 3, -1) |
82 %!error sprand (3, 3, 2) | 103 %!error sprand (3, 3, 2) |
104 %!error sprand (2, 2, 0.2, -1) | |
105 %!error sprand (2, 2, 0.2, 2) | |
83 | 106 |
84 %% Test very large, very low density matrix doesn't fail | 107 %% Test very large, very low density matrix doesn't fail |
85 %!test | 108 %!test |
86 %! s = sprand(1e6,1e6,1e-7); | 109 %! s = sprand(1e6,1e6,1e-7); |
87 | 110 |