scholarly journals On Tree Automata that Certify Termination of Left-Linear Term Rewriting Systems

Author(s):  
Alfons Geser ◽  
Dieter Hofbauer ◽  
Johannes Waldmann ◽  
Hans Zantema
1990 ◽  
Vol 13 (2) ◽  
pp. 211-226
Author(s):  
Z. Fülop ◽  
S. Vágvölgyi

The concept of top-down tree automata with prefix look-ahead is introduced. It is shown that a tree language is the set of irreducible trees of a left-linear term rewriting system if and only if it can be recognized by a one-state deterministic top-down tree automaton with pre fix look-ahead.


2007 ◽  
Vol 205 (4) ◽  
pp. 512-534 ◽  
Author(s):  
Alfons Geser ◽  
Dieter Hofbauer ◽  
Johannes Waldmann ◽  
Hans Zantema

1995 ◽  
Vol 152 (2) ◽  
pp. 285-303
Author(s):  
Paola Inverardi ◽  
Monica Nesi

1995 ◽  
Vol 149 (2) ◽  
pp. 361-374 ◽  
Author(s):  
Manfred Schmidt-Schauß ◽  
Massimo Marchiori ◽  
Sven Eric Panitz

2006 ◽  
Vol 17 (06) ◽  
pp. 1253-1272
Author(s):  
LOEK CLEOPHAS ◽  
KEES HEMERIK ◽  
GERARD ZWAAN

Tree pattern matching (TPM) algorithms on ordered, ranked trees play an important role in applications such as compilers and term rewriting systems. Many TPM algorithms appearing in the literature are based on tree automata. For efficiency, these automata should be deterministic, yet deterministic root-to-frontier tree automata (DRFTAS) are less powerful than nondeterministic ones, and no root-to-frontier TPM algorithm using a DRFTA has appeared so far. Hoffmann & O'Donnell presented a root-to-frontier TPM algorithm based on an Aho-Corasick automaton recognizing tree stringpaths. No relationship between this algorithm and algorithms using tree automata has however been described. We show that a specific DRFTA can be used for stringpath matching in a root-to-frontier TPM algorithm. This new algorithm provides a missing link between TPM algorithms using stringpath automata and those using tree automata. We also investigate the correspondence between the automata used by the two algorithms.


Author(s):  
Salvador Lucas

AbstractContext-sensitive rewriting is a restriction of rewriting where reduction steps are allowed on specific arguments $$\mu (f)\subseteq \{1,\ldots ,k\}$$ μ ( f ) ⊆ { 1 , … , k } of k-ary function symbols f only. Terms which cannot be further rewritten in this way are called $$\mu $$ μ -normal forms. For left-linear term rewriting systems (TRSs), the so-called normalization via$$\mu $$ μ -normalization procedure provides a systematic way to obtain normal forms by the stepwise computation and combination of intermediate $$\mu $$ μ -normal forms. In this paper, we show how to obtain bounds on the derivational complexity of computations using this procedure by using bounds on the derivational complexity of context-sensitive rewriting. Two main applications are envisaged: Normalization via $$\mu $$ μ -normalization can be used with non-terminating TRSs where the procedure still terminates; on the other hand, it can be used to improve on bounds of derivational complexity of terminating TRSs as it discards many rewritings.


1987 ◽  
Vol 18 (9) ◽  
pp. 19-30
Author(s):  
Tohru Naoi ◽  
Masafumi Yamashita ◽  
Toshihide Ibaraki ◽  
Namio Honda

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