## Copyright (C) 1995, 1996, 1997  Kurt Hornik
##
## This program 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 2, or (at your option)
## any later version.
##
## This program 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 this file.  If not, write to the Free Software Foundation,
## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.

## -*- texinfo -*-
## @deftypefn {Function File} {} lognormal_rnd (@var{a}, @var{v}, @var{r}, @var{c})
## Return an @var{r} by @var{c} matrix of random samples from the
## lognormal distribution with parameters @var{a} and @var{v}. Both
## @var{a} and @var{v} must be scalar or of size @var{r} by @var{c}.
##
## If @var{r} and @var{c} are omitted, the size of the result matrix is
## the common size of @var{a} and @var{v}.
## @end deftypefn

## Author: KH <Kurt.Hornik@ci.tuwien.ac.at>
## Description: Random deviates from the log normal distribution

function rnd = lognormal_rnd (a, v, r, c)

  if (nargin == 4)
    if (! (is_scalar (r) && (r > 0) && (r == round (r))) )
      error ("lognormal_rnd: r must be a positive integer");
    endif
    if (! (is_scalar (c) && (c > 0) && (c == round (c))) )
      error ("lognormal_rnd: c must be a positive integer");
    endif
    [retval, a, v] = common_size (a, v, zeros (r, c));
    if (retval > 0)
      error ("lognormal_rnd: a and v must be scalar or of size %d by %d", r, c);
    endif
  elseif (nargin == 2)
    [retval, a, v] = common_size (a, v);
    if (retval > 0)
      error ("lognormal_rnd: a and v must be of common size or scalar");
    endif
  else
    usage ("lognormal_rnd (a, v, r, c)");
  endif

  [r, c] = size (a);
  s = r * c;
  a = reshape (a, 1, s);
  v = reshape (v, 1, s);
  rnd = zeros (1, s);

  k = find (!(a > 0) | !(a < Inf) | !(v > 0) | !(v < Inf));
  if (any (k))
    rnd(k) = NaN * ones (1, length (k));
  endif

  k = find ((a > 0) & (a < Inf) & (v > 0) & (v < Inf));
  if (any (k))
    rnd(k) = a(k) .* exp (sqrt (v(k)) .* randn (1, length (k)));
  endif

  rnd = reshape (rnd, r, c);

endfunction