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Adjacency of Optimal Regions for Huffman Trees

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3106))

Abstract

The Huffman tree is a binary tree storing each leaf with a key and its weight with the smallest weighted search time (i.e., the weighted sum of external path lengths).

The combinatorial structure of the Huffman tree depends on the weights of keys, and thus the space of weights is tessellated into regions called optimal regions associated with the combinatorial structures. In this paper we investigate properties of this tessellation.

We show that each optimal region is convex and non-empty. Moreover, we give a combinatorial necessary and sufficient condition for the adjacency of optimal regions. We also give analogous results for alphabetic trees.

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© 2004 Springer-Verlag Berlin Heidelberg

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Onishi, K. (2004). Adjacency of Optimal Regions for Huffman Trees. In: Chwa, KY., Munro, J.I.J. (eds) Computing and Combinatorics. COCOON 2004. Lecture Notes in Computer Science, vol 3106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27798-9_4

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  • DOI: https://doi.org/10.1007/978-3-540-27798-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22856-1

  • Online ISBN: 978-3-540-27798-9

  • eBook Packages: Springer Book Archive

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