Mercurial > octave
view scripts/sparse/sprandn.m @ 31205:b0e90ca8e679 stable
quad2d: fix unintended complex conjugate return (bug #62972)
quad2d: use .' instead of ' to avoid complex conjugate in q and qerr.
author | Arun Giridhar <arungiridhar@gmail.com> |
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date | Sun, 28 Aug 2022 12:21:17 -0400 |
parents | 796f54d4ddbf |
children | 5d3faba0342e |
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######################################################################## ## ## Copyright (C) 2004-2022 The Octave Project Developers ## ## See the file COPYRIGHT.md in the top-level directory of this ## distribution or <https://octave.org/copyright/>. ## ## This file is part of Octave. ## ## Octave is free software: you can redistribute it and/or modify it ## under the terms of the GNU General Public License as published by ## the Free Software Foundation, either version 3 of the License, or ## (at your option) any later version. ## ## Octave is distributed in the hope that it will be useful, but ## WITHOUT ANY WARRANTY; without even the implied warranty of ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ## GNU General Public License for more details. ## ## You should have received a copy of the GNU General Public License ## along with Octave; see the file COPYING. If not, see ## <https://www.gnu.org/licenses/>. ## ######################################################################## ## ## Original version by Paul Kienzle distributed as free software in the ## public domain. ## -*- texinfo -*- ## @deftypefn {} {} sprandn (@var{m}, @var{n}, @var{d}) ## @deftypefnx {} {} sprandn (@var{m}, @var{n}, @var{d}, @var{rc}) ## @deftypefnx {} {} sprandn (@var{s}) ## Generate a sparse matrix with normally distributed random values. ## ## The size of the matrix is @var{m}x@var{n} with a density of values @var{d}. ## @var{d} must be between 0 and 1. Values will be normally distributed with a ## mean of 0 and a variance of 1. ## ## If called with a single matrix argument, a sparse matrix is generated with ## random values wherever the matrix @var{s} is nonzero. ## ## If called with a scalar fourth argument @var{rc}, a random sparse matrix ## with reciprocal condition number @var{rc} is generated. If @var{rc} is ## a vector, then it specifies the first singular values of the generated ## matrix (@code{length (@var{rc}) <= min (@var{m}, @var{n})}). ## ## @seealso{sprand, sprandsym, randn} ## @end deftypefn function s = sprandn (m, n, d, rc) if (nargin == 1) s = __sprand__ (m, @randn); elseif (nargin == 3) s = __sprand__ (m, n, d, "sprandn", @randn); elseif (nargin == 4) s = __sprand__ (m, n, d, rc, "sprandn", @randn); else print_usage (); endif endfunction ## Test 3-input calling form %!test %! s = sprandn (4, 10, 0.1); %! assert (size (s), [4, 10]); %! assert (nnz (s) / numel (s), 0.1); ## Test 4-input calling form %!test %! d = rand (); %! s1 = sprandn (100, 100, d, 0.4); %! rc = [5, 4, 3, 2, 1, 0.1]; %! s2 = sprandn (100, 100, d, rc); %! s3 = sprandn (6, 4, d, rc); %! assert (svd (s2)'(1:length (rc)), rc, sqrt (eps)); %! assert (1/cond (s1), 0.4, sqrt (eps)); %! assert (nnz (s1) / (100*100), d, 0.02); %! assert (nnz (s2) / (100*100), d, 0.02); %! assert (svd (s3)', [5 4 3 2], sqrt (eps)); ## Test 1-input calling form %!test %! s = sprandn (sparse ([1 2 3], [3 2 3], [2 2 2])); %! [i, j] = find (s); %! assert (sort (i), [1 2 3]'); %! assert (sort (j), [2 3 3]'); ## Test very large, very low density matrix doesn't fail %!test %! s = sprandn (1e6,1e6,1e-7); ## Test empty array creation %!assert (size (sprandn (0, 0, 0.5)), [0, 0]) %!assert (size (sprandn (0, 3, 0.5)), [0, 3]) %!assert (size (sprandn (3, 0, 0.5)), [3, 0]) ## Test input validation %!error <Invalid call> sprandn () %!error <Invalid call> sprandn (1, 2) %!error <M must be a non-negative integer> sprand (-1, -1, 0.5) %!error <M must be a non-negative integer> sprandn (ones (3), 3, 0.5) %!error <M must be a non-negative integer> sprandn (3.5, 3, 0.5) %!error <M must be a non-negative integer> sprandn (-1, 3, 0.5) %!error <N must be a non-negative integer> sprandn (3, ones (3), 0.5) %!error <N must be a non-negative integer> sprandn (3, 3.5, 0.5) %!error <N must be a non-negative integer> sprandn (3, -1, 0.5) %!error <D must be between 0 and 1> sprandn (3, 3, -1) %!error <D must be between 0 and 1> sprandn (3, 3, 2) %!error <RC must be a scalar or vector> sprandn (2, 2, 0.2, ones (3,3)) %!error <RC must be between 0 and 1> sprandn (2, 2, 0.2, -1) %!error <RC must be between 0 and 1> sprandn (2, 2, 0.2, 2)