Tree size estimate

I would like to estimate the number of leaves in a large tree structure for which I cannot visit each node exhaustively. Is this algorithm consistent? Does he have a name? Also, please, pedant, if I use any conditions inappropriately.

sum_trials = 0
num_trials = 0
WHILE time_is_not_up
    bits = 0
    ptr = tree.root
    WHILE count(ptr.children) > 0
         bits += log2(count(ptr.children))
         ptr = ptr.children[rand()%count(ptr.children)]
    sum_trials += bits
    num_trials++
estimated_tree_size = 2^(sum_trials/num_trials)
+3
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2 answers

, (: ?) ( , node?)?, , () / node. .

+3

Source: https://habr.com/ru/post/1744523/


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