Pattern matching algorithms
A dynamic programming algorithm for constructing optimal prefix-free codes with unequal letter costs
IEEE Transactions on Information Theory
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We address the problem of designing optimal prefix-free codes over an encoding alphabet with unequal integer letter costs. The most efficient algorithm proposed so far has O(n$^{C+2}$) time complexity, where n is the number of codewords and C is the maximum letter cost. For the special case when the encoding alphabet is binary, a faster solution was proposed, namely of O(n$^C$) time complexity, based on a more sophisticated modeling of the problem, and on exploiting the Monge property of the cost function. However, those techniques seemed not to extend to the r-letter alphabet. This work proves that, on the contrary, the generalization to the r-letter case is possible, thus leading to a O(n$^C$) time complexity algorithm for the case of arbitrary number of letters.