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Computer Science > Data Structures and Algorithms

Title: A (Weakly) Polynomial Algorithm for AIVF Coding

Abstract: It is possible to improve upon Tunstall coding using a collection of multiple parse trees. The best such results so far are Iwata and Yamamoto's maximum cost AIVF codes. The most efficient algorithm for designing such codes is an iterative one that could run in exponential time. In this paper, we show that this problem fits into the framework of a newly developed technique that uses linear programming with the Ellipsoid method to solve the minimum cost Markov chain problem. This permits constructing maximum cost AIVF codes in (weakly) polynomial time.
Comments: Expanded version of paper appearing on ISIT 2024
Subjects: Data Structures and Algorithms (cs.DS)
ACM classes: F.2; E.4
Cite as: arXiv:2405.06805 [cs.DS]
  (or arXiv:2405.06805v1 [cs.DS] for this version)

Submission history

From: Mordecai Golin [view email]
[v1] Fri, 10 May 2024 20:36:19 GMT (41kb)

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