Daniel@0: function D = setDistanceDiag(X, W, Ifrom, Ito)
Daniel@0: %
Daniel@0: % D = setDistanceDiag(X, W, Ifrom, Ito)
Daniel@0: %
Daniel@0: %   X       = d-by-n data matrix
Daniel@0: %   W       = d-by-1 PSD matrix
Daniel@0: %   Ifrom   = k-by-1 vector of source points
Daniel@0: %   Ito     = j-by-1 vector of destination points
Daniel@0: %
Daniel@0: %   D = n-by-n matrix of squared euclidean distances from Ifrom to Ito
Daniel@0: %       D is sparse, and only the rows corresponding to Ifrom and
Daniel@0: %       columns corresponding to Ito are populated.
Daniel@0: 
Daniel@0:     [d,n]       = size(X);
Daniel@0:     L           = W.^0.5;
Daniel@0:     
Daniel@0:     Vfrom       = bsxfun(@times, L, X(:,Ifrom));
Daniel@0: 
Daniel@0:     if nargin == 4
Daniel@0:         Vto     = bsxfun(@times, L, X(:,Ito));
Daniel@0:     else
Daniel@0:         Vto     = bsxfun(@times, L, X);
Daniel@0:         Ito     = 1:n;
Daniel@0:     end
Daniel@0: 
Daniel@0:     D = distToFrom(n, Vto, Vfrom, Ito, Ifrom);
Daniel@0: end