function Z = replace(X,Y,W) %REPLACE Substitutes variables % %Z = REPLACE(Y,X,W) Replaces any occurence of the SDPVAR object Y % in the SDPVAR object X with the double W % % Example % x = sdpvar(1,1); % t = sdpvar(1,1); % Y = [1+t;1+x+t]; % Y = replace(Y,x,2) generates Y=[1+t;3+t] % Author Johan Löfberg % $Id: replace.m,v 1.1 2006/08/10 18:00:22 joloef Exp $ if ~isa(X,'sdpvar') Z = X; return end if ~isa(Y,'sdpvar') error('Second arguments must be an sdpvar object') end if ~is(Y,'linear') error('Second arguments must be linear') end if ~isequal(size(Y),size(W)) error('Both arguments must have same size') end if isa(W,'sdpvar') % This is tricky... Z = variable_replace(X,Y,W); return end if ~isa(W,'double') error('Third arguments must be a double') end % Replace with NaN destroys everything, assume it should be cleared W(isnan(W)) = 0; y_lmi_variables = Y.lmi_variables; b = W(:)-Y.basis(:,1); A = Y.basis(:,2:end); feas_var = A\b; if norm(A*feas_var-b)>sqrt(eps) error('Inconsistent assignment') end x_lmi_variables = X.lmi_variables; n = X.dim(1); m = X.dim(2); [monomtable,variabletype] = yalmip('monomtable'); if all(variabletype(x_lmi_variables)==0) % is(X,'linear') Z = X.basis(:,1); for i = 1:length(x_lmi_variables) j = find(x_lmi_variables(i) == y_lmi_variables); if isempty(j) Z = Z + recover(x_lmi_variables(i))*X.basis(:,i+1); else Z = Z + feas_var(j)*X.basis(:,i+1); end end else replaced_vars = depends(Y); % used_variables = getvariables(X); used_variables = x_lmi_variables; % monomtable = yalmip('monomtable'); local_monom = monomtable(used_variables,replaced_vars); W = W(:)'; gain = zeros(length(used_variables),1); for i = 1:length(used_variables) % F**N 6.5 0^sparse(0) and 0^0 differ gain(i) = prod(W.^full(local_monom(i,:))); end local_monoms_left = monomtable(used_variables,:); local_monoms_left(:,replaced_vars) = 0; used_left = find(sum(local_monoms_left,1)); base = recovermonoms(local_monoms_left(:,used_left),recover(used_left)); base = base.*gain(:); Z = X.basis(:,1); Z = Z + X.basis(:,2:end)*base; end if isa(Z,'sdpvar') Z.dim(1) = n; Z.dim(2) = m; Z.typeflag = X.typeflag; % Reset info about conic terms Z.conicinfo = [0 0]; else Z = reshape(full(Z),n,m); end