ABSTRACT
We turn now to iterative algorithms involving nonnegative vectors and matrices. For such algorithms the two-norm will not play a major role. Instead, the Kullback-Leibler, or cross-entropy, distance will be our primary tool. Our main examples are the simultaneous multiplicative algebraic reconstruction technique (SMART), the expectation maximization maximum likelihood (EMML) algorithms, and various related methods.
