Abstract
The investigation pursued in the previous article is continued. Using a general algorithm of calculating the optimum prediction for a random process, an optimum extrapolation estimate is found in explicit form for the decision of a nonlinear evolutionary differential equation in a Hilbert space with unbounded linear operators. If a differential equation contains a small nonlinearity, then such an estimate is developed as a series in powers of a small parameter.
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