Algorithmic counting of nonequivalent compact Huffman codes

Abstract

AbstractIt is known that the following five counting problems lead to the same integer sequence $${f_t}({n})$$ f t ( n ) : the number of nonequivalent compact Huffman codes of length n over an alphabet of t letters, the number of “nonequivalent” complete rooted t-ary trees (level-greedy trees) with n leaves, the number of “proper” words (in the sense of Even and Lempel), the number of bounded degree sequences (in the sense of Komlós, Moser, and Nemetz), and the number of ways of writing $$\begin{aligned} 1= \frac{1}{t^{x_1}}+ \dots + \frac{1}{t^{x_n}} \end{aligned}$$ 1 = 1 t x 1 + ⋯ + 1 t x n with integers $$0 \le x_1 \le x_2 \le \dots \le x_n$$ 0 ≤ x 1 ≤ x 2 ≤ ⋯ ≤ x n . In this work, we show that one can compute this sequence for all$$n<N$$ n < N with essentially one power series division. In total we need at most $$N^{1+\varepsilon }$$ N 1 + ε additions and multiplications of integers of cN bits (for a positive constant $$c<1$$ c < 1 depending on t only) or $$N^{2+\varepsilon }$$ N 2 + ε bit operations, respectively, for any $$\varepsilon >0$$ ε > 0 . This improves an earlier bound by Even and Lempel who needed $${O}({{N^3}})$$ O ( N 3 ) operations in the integer ring or $$O({N^4})$$ O ( N 4 ) bit operations, respectively.