On a recurrence arising in graph compression (Q456337)

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scientific article; zbMATH DE number 6098357
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On a recurrence arising in graph compression
scientific article; zbMATH DE number 6098357

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    On a recurrence arising in graph compression (English)
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    24 October 2012
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    Summary: In a recently proposed graphical compression algorithm by \textit{Y. Choi} and \textit{W. Szpankowski} [``Compression of Graphical Structures: Fundamental Limits, Algorithms, and Experiments'', IEEE Trans. Inf. Theory 58, 620--638 (2012)], the following tree arose in the course of the analysis. The root contains \(n\) balls that are consequently distributed between two subtrees according to a simple rule: In each step, all balls independently move down to the left subtree (say with probability \(p\)) or the right subtree (with probability \(1-p\)). A new node is created as long as there is at least one ball in that node. Furthermore, a nonnegative integer \(d\) is given, and at level \(d\) or greater one ball is removed from the leftmost node before the balls move down to the next level. These steps are repeated until all balls are removed (i.e., after \(n+d\) steps). Observe that when \(d=\infty\) the above tree can be modeled as a trie that stores \(n\) independent sequences generated by a binary memoryless source with parameter \(p\). Therefore, we coin the name \((n,d)\)-tries for the tree just described, and to which we often refer simply as \(d\)-tries. We study here in detail the path length, and show how much the path length of such a \(d\)-trie differs from that of regular tries. We use methods of analytic algorithmics, from Mellin transforms to analytic poissonization.
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    digital trees
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    Mellin transform
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    poissonization
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    graph compression
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