--- /dev/null
+## Copyright (C) 2000-2012 Daniel Calvelo
+## Copyright (C) 2009 Jaroslav Hajek
+##
+## 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
+## <http://www.gnu.org/licenses/>.
+
+## -*- texinfo -*-
+## @deftypefn {Function File} {[@var{s}, @var{i}] =} sortrows (@var{A})
+## @deftypefnx {Function File} {[@var{s}, @var{i}] =} sortrows (@var{A}, @var{c})
+## Sort the rows of the matrix @var{A} according to the order of the
+## columns specified in @var{c}. If @var{c} is omitted, a
+## lexicographical sort is used. By default ascending order is used
+## however if elements of @var{c} are negative then the corresponding
+## column is sorted in descending order.
+## @seealso{sort}
+## @end deftypefn
+
+## Author: Daniel Calvelo, Paul Kienzle
+## Adapted-by: jwe
+
+function [s, i] = sortrows (A, c)
+
+ if (nargin < 1 || nargin > 2)
+ print_usage ();
+ endif
+
+ if (nargin == 2)
+ if (! (isnumeric (c) && isvector (c)))
+ error ("sortrows: C must be a numeric vector");
+ elseif (any (c == 0) || any (abs (c) > columns (A)))
+ error ("sortrows: all elements of C must be in the range [1, columns (A)]");
+ endif
+ endif
+
+ default_mode = "ascend";
+ reverse_mode = "descend";
+
+ if (issparse (A))
+ ## FIXME: Eliminate this case once __sort_rows_idx__ is fixed to
+ ## handle sparse matrices.
+ if (nargin == 1)
+ i = sort_rows_idx_generic (default_mode, reverse_mode, A);
+ else
+ i = sort_rows_idx_generic (default_mode, reverse_mode, A, c);
+ endif
+ elseif (nargin == 1)
+ i = __sort_rows_idx__ (A, default_mode);
+ elseif (all (c > 0))
+ i = __sort_rows_idx__ (A(:,c), default_mode);
+ elseif (all (c < 0))
+ i = __sort_rows_idx__ (A(:,-c), reverse_mode);
+ else
+ ## Otherwise, fall back to the old algorithm.
+ i = sort_rows_idx_generic (default_mode, reverse_mode, A, c);
+ endif
+
+ ## Only bother to compute s if needed.
+ if (isargout (1))
+ s = A(i,:);
+ endif
+
+endfunction
+
+function i = sort_rows_idx_generic (default_mode, reverse_mode, m, c)
+
+ if (nargin == 3)
+ indices = [1:columns(m)]';
+ mode(1:columns(m)) = {default_mode};
+ else
+ for j = 1:length (c);
+ if (c(j) < 0)
+ mode{j} = reverse_mode;
+ else
+ mode{j} = default_mode;
+ endif
+ endfor
+ indices = abs (c(:));
+ endif
+
+ ## Since sort is 'stable' the order of identical elements will be
+ ## preserved, so by traversing the sort indices in reverse order we
+ ## will make sure that identical elements in index i are subsorted by
+ ## index j.
+ indices = flipud (indices);
+ mode = flipud (mode');
+ i = [1:rows(m)]';
+ for j = 1:length (indices);
+ [~, idx] = sort (m(i, indices(j)), mode{j});
+ i = i(idx);
+ endfor
+
+endfunction
+
+
+%!test
+%! m = [1, 1; 1, 2; 3, 6; 2, 7];
+%! c = [1, -2];
+%! [x, idx] = sortrows (m, c);
+%! [sx, sidx] = sortrows (sparse (m), c);
+%! assert (x, [1, 2; 1, 1; 2, 7; 3, 6]);
+%! assert (idx, [2; 1; 4; 3]);
+%! assert (issparse (sx));
+%! assert (x, full (sx));
+%! assert (idx, sidx);
+
+%!test
+%! m = [1, 0, 0, 4];
+%! c = 1;
+%! [x, idx] = sortrows (m, c);
+%! [sx, sidx] = sortrows (sparse (m), c);
+%! assert (x, m);
+%! assert (idx, 1);
+%! assert (issparse (sx));
+%! assert (x, full (sx));
+%! assert (idx, sidx);
+
+%% Test input validation
+%!error sortrows ()
+%!error sortrows (1, 2, 3)
+%!error sortrows (1, "ascend")
+%!error sortrows (1, ones (2,2))
+%!error sortrows (1, 0)
+%!error sortrows (1, 2)
+