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%% Smallest Nonzero Singular Values % Create a sparse 100-by-100 Neumann matrix. C = gallery('neumann',100); %% % Compute the ten smallest singular values. ss = svds(C,10,'smallest') %% % Compute the 10 smallest nonzero singular values. Since the matrix has a % singlular value that is equal to zero, the |'smallestnz'| option omits % it. snz = svds(C,10,'smallestnz')