function Y=diff(varargin)
%DIFF (overloaded)
% Author Johan L鰂berg
% $Id: diff.m,v 1.1 2006/08/10 18:00:19 joloef Exp $
X = varargin{1};
n = X.dim(1);
m = X.dim(2);
Y = X;
x_lmi_variables = X.lmi_variables;
lmi_variables = [];
% Fast diff of large matrices. Convert to optmized case
switch nargin
case 1
if (min([n m]) > 1)
Y = diff(X',1,2)';
return
end
case 2
if varargin{2} == 1 & (min([n m]) > 1)
Y = diff(X',1,2)';
return
end
case 3
if varargin{2}==1 & varargin{3} == 2 & (min([n m]) > 1)
shift = [-speye(m-1) spalloc(m-1,1,0)] + [spalloc(m-1,1,0) speye(m-1)];
% shift = shift(1:m-1,1:m);
shift = kron(shift,speye(n));
Y.basis = shift*X.basis;
Y.dim(1) = n;
Y.dim(2) = m - 1;
% Reset info about conic terms
Y.conicinfo = [0 0];
Y = clean(Y);
return
elseif varargin{2}==1 & varargin{3} == 1 & (min([n m]) > 1)
Y = diff(X',1,2)';
return
end
otherwise
error('To many input arguments.')
end
% Slow but safe case. Used for higher order diff
try
j = 1;
diffX = diff(reshape(X.basis(:,1),n,m),varargin{2:end});
Y.basis=diffX(:);
for i = 1:length(x_lmi_variables)
diffX = diff(reshape(X.basis(:,i+1),n,m),varargin{2:end});
if (norm(diffX,inf)>0)
Y.basis(:,j+1) = diffX(:);
lmi_variables = [lmi_variables x_lmi_variables(i)];
j = j+1;
end
end
if j~=1
Y.lmi_variables = lmi_variables;
else
Y = full(reshape(Y.basis(:,1),size(diffX,1),size(diffX,2)));
return
end
catch
error(lasterr)
end
Y.dim(1) = size(diffX,1);
Y.dim(2) = size(diffX,2);
% Reset info about conic terms
Y.conicinfo = [0 0];