Abstract
A law of division of a continuous output value of a GERT network having polynomial computational complexity is found via the inversion formula integration method. The scaling of the probability distributions of random values acting as the weights of the arcs of the GERT network by compressing their characteristic functions is applied. The distribution of the output value of the GERT network is transformed to a discrete form using an intermediate transformation.
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