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    Metadata details:
    filename: robustmodel.m
    path of file: ./repos/YALMIP/modules/robust
    
    the code of the file until where you have to start completion: function varargout = robustmodel(varargin)
%ROBUSTMODEL  Derives robust counterpart.
%
% [Frobust,objrobust,failure] = ROBUSTMODEL(F,h,options) is used to derive
% the robust counterpart of an uncertain YALMIP model.
%
%   min        h(x,w)
%   subject to
%           F(x,w) >(=) 0  for all w in W
%

    
function varargout = robustmodel(varargin)
%ROBUSTMODEL  Derives robust counterpart.
%
% [Frobust,objrobust,failure] = ROBUSTMODEL(F,h,options) is used to derive
% the robust counterpart of an uncertain YALMIP model.
%
%   min        h(x,w)
%   subject to
%           F(x,w) >(=) 0  for all w in W
%
% The constraints and objective have to satisfy a number of conditions for
% the robustification to be possible. Please refer to the YALMIP Wiki for
% the current assumptions.
%
% Some options for the robustification strategies can be altered via the
% solver tag 'robust' in sdpsettings
%
%  'robust.lplp'  : Controls how linear constraints with affine
%                   parameterization in an uncertainty with polytopic
%                   description is handled. Can be either 'duality' or
%                   'enumeration' 
%
%  'robust.auxred': Controls how uncertainty depend