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On the stack-size of general tries

Jérémie BourdonMarkus NebelBrigitte Vallée — 2001

RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications

Digital trees or tries are a general purpose flexible data structure that implements dictionaries built on words. The present paper is focussed on the average-case analysis of an important parameter of this tree-structure, i.e., the stack-size. The stack-size of a tree is the memory needed by a storage-optimal preorder traversal. The analysis is carried out under a general model in which words are produced by a source (in the information-theoretic sense) that emits symbols. Under some natural assumptions...

On the Stack-Size of General Tries

Jérémie BourdonMarkus NebelBrigitte Vallée — 2010

RAIRO - Theoretical Informatics and Applications

Digital trees or tries are a general purpose flexible data structure that implements dictionaries built on words. The present paper is focussed on the average-case analysis of an important parameter of this tree-structure, , the stack-size. The stack-size of a tree is the memory needed by a storage-optimal preorder traversal. The analysis is carried out under a general model in which words are produced by a source (in the information-theoretic sense) that emits symbols. Under some natural...

On the Horton-Strahler Number for Combinatorial Tries

Markus E. Nebel — 2010

RAIRO - Theoretical Informatics and Applications

In this paper we investigate the average Horton-Strahler number of all possible tree-structures of binary tries. For that purpose we consider a generalization of extended binary trees where leaves are distinguished in order to represent the location of keys within a corresponding trie. Assuming a uniform distribution for those trees we prove that the expected Horton-Strahler number of a tree with internal nodes and leaves that correspond to a key is asymptotically given by 4 2 β - α log ( α ) ( 2 β - 1 ) ( α + 1 ) ( α + 2 ) 2 α + 1 α - 1 8 π α 3 / 2 log ( 2 ) ( β - 1 ) β 2 β β 2 provided that and...

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