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Digital Search Trees Again Revisited: The Internal Path Length Perspective
Abstract
This paper studies the asymptotics of the variance for the internal path length in a symmetric digital search tree under the Bernoulli model. This problem has been open until now. It is proved that the variance is asymptotically equal to $N \cdot 0.26600 + N \cdot \delta (\log _2 N)$, where N is the number of stored records and $\delta (x)$ is a periodic function of mean zero and a very small amplitude. This result completes a series of studies devoted to the asymptotic analysis of the variances of digital tree parameters in the symmetric case. In order to prove the previous result a number of nontrivial problems concerning analytic continuations and some others of a numerical nature had to be solved. In fact, some of these techniques are motivated by the methodology introduced in an influential paper by Flajolet and Sedgewick.
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“who prove that a^[W{n)] login where C = 0.26600 (to five significant places)”
From A statistical test suite for random and pseudorandom number generators for cryptographic applications (2000) · cites this paper as Kirschenhofer, Prodinger, and Szpankowski (1994)
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Metadata
- Authors
- Kirschenhofer, P., Prodinger, H., & Szpankowski, W.
- Affiliations
- Purdue University West Lafayette (US)
- TU Wien (AT)
- Venue
- SIAM Journal on Computing
- Published
- 1994-06
- Volume
- 23
- Issue
- 3
- Pages
- 598-616
- ISSN
- 0097-5397 (ISSN-L)
- 1095-7111
- OpenAlex
- W2129108235
- Cited by
- 43
- References
- 26
- Citations by year
- 2026: 1 · 2020: 2 · 2015: 3 · 2013: 4 · 2012: 3
- FWCI
- 4.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- SIAM Journal on Computing (publishedVersion)
- Purdue e-Pubs (Purdue University System) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Theoretical Computer Science › Algorithms and Data Compression
- Physical Sciences › Mathematics › Discrete Mathematics and Combinatorics › Advanced Combinatorial Mathematics
- Physical Sciences › Mathematics › Theoretical Computer Science › Optimization and Search Problems
- Keywords
- digital search trees, variance asymptotics, Bernoulli model, analytic continuation, digital trees
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