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function p = normpdf(x,m,s);
% Normal probability density function
%
% pdf = normpdf(x,m,s);
%
% Computes the PDF of a the normal distribution
% with mean m and standard deviation s
% default: m=0; s=1;
% x,m,s must be matrices of same size, or any one can be a scalar.
%
% see also: NORMCDF, NORMINV
% Reference(s):
% Version 1.28 Date: 23.Sep.2002
% Copyright (c) 2000-2002 by Alois Schloegl <a.schloegl@ieee.org>
% 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 of the License, 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 program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
if nargin==1,
m=0;s=1;
elseif nargin==2,
s=1;
end;
% allocate output memory and check size of argument
z = (x-m)./s; % if this line causes an error, input arguments do not fit.
%p = ((2*pi)^(-1/2))*exp(-z.^2/2)./s;
SQ2PI = 2.5066282746310005024157652848110;
p = exp(-z.^2/2)./(s*SQ2PI);
p((x==m) & (s==0)) = inf;
p(isinf(z)~=0) = 0;
p(isnan(x) | isnan(m) | isnan(s) | (s<0)) = nan;
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