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A very simple heuristic approach to the unfolding problem will be described.An iterative algorithm starts with an empty histogram and every iteration aimsto add one entry to this histogram. The entry to be added is selected accordingto a criteria which includes a $\chi^2$ test and a regularization. After arelatively small number of iterations (500 - 1000) the growing reconstructeddistribution converges to the true distribution.

Heuristic algorithm for 1D and 2D unfolding