📄 set.m
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function F = set(varargin)
%set Defines a constraint (the feasible set)
%
% F = SET Creates an empty SET-object
%
% Constraints can be generated using string notation
% F = SET('X>Y') Constrains X-Y to be positive semi-definite if X-Y is Hermitian,
% interpreted as element-wise constraint otherwise
% F = SET('X==Y') Element-wise equality constraint
% F = SET('||X||<Y') Create second order cone constraint (X and Y column vectors)
%
% One can also use overloaded >, < and ==
% F = SET(X > Y) Constrains X-Y to be positive semi-definite if X-Y is Hermitian,
% interpreted as element-wise constraint otherwise
% F = SET(X==Y) Element-wise equality constraint
% F = SET(CONE(X,Y)) Second order cone constraint (X and Y column vectors)
%
% Variables can be constrained to be integer or binary
% F = SET(INTEGER(X))
% F = SET(BINARY(X))
%
% Multiple constraints are obtained with overloaded plus
% F = set(X > 0) + set(CONE(X(:),1)) + SET(X(1,1) == 1/2)
%
% Double-sided constraint (and extensions) can easily be defined
% The following two comands give equivalent problems
% F = set(X > 0 > Y > Z < 5 < W)
% F = set(X > 0) + set(0 > Y) + set(Y > Z) + set(Z < 5) + set(5 < W)
%
%
% General info
% A constraint can be tagged with a name or description
% F = SET(X > Y,'tag') Gives the constraint a tag (used in display/checkset)
%
% The right-hand side and left-hand side can be interchanged. Supports {>,<,==}.
%
% All inequalities are interpreted as non-strict.
%
% For notational purposes though, both >= and > are supported (as well as < and <=)
%
% Any valid expression built using DOUBLEs & SDPVARs can be used on both sides.
%
% The advantage of using the string notation approach is that more information will be
% shown when the SET is displayed (and in checkset)
%
% See also DUAL, SOLVESDP, INTEGER, BINARY
switch nargin
case 0
F = lmi;
case 1
F = lmi(varargin{1});
case 2
F = lmi(varargin{1},varargin{2});
case 3
F = lmi(varargin{1},varargin{1},varargin{3});
case 4
F = lmi(varargin{1},[],[],1);
otherwise
end
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