function z = prob_noisy_LSF_x2z_test(varargin)
%PROB_NOISY_LSF_X2Z_TEST  Noisy limit state function
%
%   Noisy Limit state function for testing and comparison purposes of
%   various reliability methods.
%   Test case obtained from Waarts (2000)
%
%   Syntax:
%   varargout = prob_noisy_LSF_x2z_test(varargin)
%
%   Input:
%   varargin  = propertyName-propertyValue pairs of samples
%
%   Output:
%   z         = array with resulting z-values 
%
%   Example
%   prob_noisy_LSF_x2z_test
%
%   See also

%% Copyright notice
%   --------------------------------------------------------------------
%   Copyright (C) 2011 Deltares
%       Kees den Heijer
%
%       Kees.denHeijer@Deltares.nl
%
%       Deltares
%       P.O. Box 177
%       2600 MH Delft
%       The Netherlands
%
%   This library is free software: you can redistribute it and/or
%   modify it under the terms of the GNU Lesser General Public
%   License as published by the Free Software Foundation, either
%   version 2.1 of the License, or (at your option) any later version.
%
%   This library 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
%   Lesser General Public License for more details.
%
%   You should have received a copy of the GNU Lesser General Public
%   License along with this library. If not, see <http://www.gnu.org/licenses/>.
%   --------------------------------------------------------------------

% This tool is part of <a href="http://OpenEarth.nl">OpenEarthTools</a>.
% OpenEarthTools is an online collaboration to share and manage data and
% programming tools in an open source, version controlled environment.
% Sign up to recieve regular updates of this function, and to contribute
% your own tools.

%% Version <http://svnbook.red-bean.com/en/1.5/svn.advanced.props.special.keywords.html>
% Created: 29 Jun 2011
% Created with Matlab version: 7.12.0.635 (R2011a)

% $Id$
% $Date$
% $Author$
% $Revision$
% $HeadURL$
% $Keywords: $

%%
samples = struct(varargin{:});

x = [varargin{2:2:end}];

z = samples.x1 + 2*samples.x2 + 2*samples.x3 + samples.x4 - 5*samples.x5 - 5*samples.x6 + 1e-3 * sum(sin(x),2);