We compare two approaches, the interval and the ellipsoidal ones, to the guaranteed estimation of errors of vector operations by considering the problem of multiplication of a vector by a matrix. It is shown that for a large class of linear operators the ellipsoidal estimates are more precise than the interval ones, even if the initial vector has interval error bounds.
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