A (Weakly) Polynomial Algorithm for AIVF Coding

May 10, 2024 Β· Declared Dead Β· πŸ› International Symposium on Information Theory

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Authors Reza Hosseini Dolatabadi, Mordecai J. Golin, Arian Zamani arXiv ID 2405.06805 Category cs.DS: Data Structures & Algorithms Citations 0 Venue International Symposium on Information Theory Last Checked 5 months ago
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.
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