Hyper-Minimization for Deterministic Weighted Tree Automata
Hyper-minimization is a state reduction technique that allows a finite change in the semantics. The theory for hyper-minimization of deterministic weighted tree automata is provided. The presence of weights slightly complicates the situation in comparison to the unweighted case. In addition, the...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Open Publishing Association
2014-05-01
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Series: | Electronic Proceedings in Theoretical Computer Science |
Online Access: | http://arxiv.org/pdf/1405.5610v1 |
_version_ | 1818252898389196800 |
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author | Andreas Maletti Daniel Quernheim |
author_facet | Andreas Maletti Daniel Quernheim |
author_sort | Andreas Maletti |
collection | DOAJ |
description | Hyper-minimization is a state reduction technique that allows a finite change in the semantics. The theory for hyper-minimization of deterministic weighted tree automata is provided. The presence of weights slightly complicates the situation in comparison to the unweighted case. In addition, the first hyper-minimization algorithm for deterministic weighted tree automata, weighted over commutative semifields, is provided together with some implementation remarks that enable an efficient implementation. In fact, the same run-time O(m log n) as in the unweighted case is obtained, where m is the size of the deterministic weighted tree automaton and n is its number of states. |
first_indexed | 2024-12-12T16:31:29Z |
format | Article |
id | doaj.art-28c1277472544e2f95479dfdb917acfa |
institution | Directory Open Access Journal |
issn | 2075-2180 |
language | English |
last_indexed | 2024-12-12T16:31:29Z |
publishDate | 2014-05-01 |
publisher | Open Publishing Association |
record_format | Article |
series | Electronic Proceedings in Theoretical Computer Science |
spelling | doaj.art-28c1277472544e2f95479dfdb917acfa2022-12-22T00:18:46ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802014-05-01151Proc. AFL 201431432610.4204/EPTCS.151.22:33Hyper-Minimization for Deterministic Weighted Tree AutomataAndreas Maletti0Daniel Quernheim1 Universität Leipzig Universität Stuttgart Hyper-minimization is a state reduction technique that allows a finite change in the semantics. The theory for hyper-minimization of deterministic weighted tree automata is provided. The presence of weights slightly complicates the situation in comparison to the unweighted case. In addition, the first hyper-minimization algorithm for deterministic weighted tree automata, weighted over commutative semifields, is provided together with some implementation remarks that enable an efficient implementation. In fact, the same run-time O(m log n) as in the unweighted case is obtained, where m is the size of the deterministic weighted tree automaton and n is its number of states.http://arxiv.org/pdf/1405.5610v1 |
spellingShingle | Andreas Maletti Daniel Quernheim Hyper-Minimization for Deterministic Weighted Tree Automata Electronic Proceedings in Theoretical Computer Science |
title | Hyper-Minimization for Deterministic Weighted Tree Automata |
title_full | Hyper-Minimization for Deterministic Weighted Tree Automata |
title_fullStr | Hyper-Minimization for Deterministic Weighted Tree Automata |
title_full_unstemmed | Hyper-Minimization for Deterministic Weighted Tree Automata |
title_short | Hyper-Minimization for Deterministic Weighted Tree Automata |
title_sort | hyper minimization for deterministic weighted tree automata |
url | http://arxiv.org/pdf/1405.5610v1 |
work_keys_str_mv | AT andreasmaletti hyperminimizationfordeterministicweightedtreeautomata AT danielquernheim hyperminimizationfordeterministicweightedtreeautomata |