55 lines
1.5 KiB
Mathematica
55 lines
1.5 KiB
Mathematica
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function varargout=sort(varargin)
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%SORT (overloaded)
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%
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% [t,loc] = sort(x)
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%
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% The variable t will be the sorted version of x.
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%
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% SORT is implemented in the nonlinear operator framework using a big-M
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% model.
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switch class(varargin{1})
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case 'double'
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error('Overloaded SDPVAR/SORT CALLED WITH DOUBLE. Report error')
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case 'sdpvar' % Overloaded operator for SDPVAR objects. Pass on args and save them.
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if 0
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error('')
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end
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y = [];
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update = varargin{1};
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for j = 1:length(update)
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y = [y;yalmip('define',mfilename,varargin{:},j)];
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end
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varargout{1} = y;
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case 'char' % YALMIP send 'graph' when it wants the epigraph or hypograph
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switch varargin{1}
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case {'milp','graph'}
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% Description using epigraphs
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t = varargin{2};
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X = varargin{3};
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% Call external to allow subsrefs in classs
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[F,vars] = pwadynamics_internal(t,varargin{3:end-1});
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varargout{1} = F;
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varargout{2} = struct('convexity','milp','monotonicity','milp','definiteness','milp');
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varargout{3} = X;
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% Inofficial way to model several nonlinear variables in
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% one call
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varargout{2}.models = vars;
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otherwise
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error('SDPVAR/SORT called with CHAR argument?');
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end
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otherwise
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error('Strange type on first argument in SDPVAR/SORT');
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end
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