| N. Dershowitz. Orderings for term-rewriting systems. Theor. Comput. Sci., 17:279-- 301, 1982. |
....ring problems by including the complete set of rewrite rules as demodulators as well as using demodulators generated during the search to rewrite all lemmas; we report on several successful applications in this area in Section 7. In the current system we use lexicographic recursive path ordering [10] based on a user specified total ordering of symbols to determine if a rewrite rule applies. The lexicographic order is also used to rewrite orientable instances of unorientable rules such as f(xy) f(yx) This system is similar to the LEX demodulators used in OTTER [25] and is a feature of the ....
....ordering of symbols to determine if a rewrite rule applies. The lexicographic order is also used to rewrite orientable instances of unorientable rules such as f(xy) f(yx) This system is similar to the LEX demodulators used in OTTER [25] and is a feature of the unfailing Knuth Bendix procedure [10]. The user may specify if a set of rewrite rules is to be used in addition to or independently of any dynamically generated demodulators. 6 Implementation Because cache templates and solutions must be added at runtime, it is not feasible to compile cache entries in the same way that input ....
N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17:279--301, 1982.
....termination proof harder. An alternative to the dependency pair method is the use of the monotonic semantic path ordering (MSPO; BFR00] which is a monotonic version of the semantic path ordering (SPO; KL80] The SPO generalizes path orderings like Dershowit s recursive path ordering (RPO; [Der82]) by replacing the use of a precedence by the use of any measure, defined by an underlaying quasi ordering, involving the whole term and not only the head symbol. The aim of this paper is to adapt the MSPO to deal with AC symbols, obtaining a fully monotonic AC ordering which allows us to avoid ....
N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17(3):279--301, 1982. 40
....is clear that most FP functions cannot be programmed in a non sizeincreasing framework, it has been shown by the same author [58] that all those representing problems in P can be. Returning to strati cation, Marion [92] applied the methodology to termination proofs using multiset path orderings [35]. Programs that can be proved to terminate by his light ordering compute exactly the FP functions. Before that FP was also characterized as a class of rst order programs admitting termination proofs by an appropriate assignment of polynomials with positive coecients to function symbols [23] to ....
N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17(3):279-301, 1987.
....Given such an order we can consider ordering constraints which are quanti er free formulas in the language of the term algebra with equality and the order. Two kinds of orders are mainly used in automated deduction: the Knuth Bendix orders [9] and various versions of the recursive path orders [5]. Because of its importance, the decision problem for ordering constraints has been well studied. For the recursive path orders decidability and complexity issues were considered in [8, 2, 16, 17, 15, 14] For the Knuth Bendix orders we have the following results: the decidability of constraints ....
N. Dershowitz. Orderings for term rewriting systems. Theoretical Computer Science, 17:279-301, 1982.
....E LK and we apply it in section 4.2 to prove a parallel moves lemma and hence the strong normalization for the orthogonal restrictions LKsp . Recursive path ordering monotone interpretations proofs This technique applies term rewriting recursive path ordering termination proofs developed in [Der82] and [KL80] it was used, building on Okada s lectures, in [CRS94] to prove the strong normalization of fragments of the linear calculus and in [CRS96] to prove strong normalization of ELK ; we apply it in section 4.3 to give a finite rewriting system interpretation of and hence a totally ....
....weak parallel moves lemma and the strong normalization property implies the confluence of E . 4.3. Strong normalization proofs by recursive path orderings In this section we describe and apply a recursive strong normalization criterion based on well partial order theory. We refer the reader to [Der82, KL80] for the initial studies on this subject or to [MZ94] for a new formulation of this matter. Strong normalization proofs for sequent calculi by recursive path orderings have been achieved in [CRS94, CRS96, DP96] A partial order on a set S, denoted by (S; is a non reflexive transitive binary ....
N. Dershowitz, Orderings for term rewriting systems, Theoretical Computer Science, Vol. 17 (5), 279-301.
....a given interpretation generates an AC compatible ordering, we have an ordering in varyadic terms, by interpreting varyadic terms into the interpretation of any non varyadic term it is equivalent to. 3. 2 Path orderings We assume the reader familiar with the Recursive Path Ordering with status [14, 22]. We use this ordering on flat terms by requiring that AC symbols always have multiset status. But such an ordering is not always monotonic: we need high restrictions on the precedence, as shown by the following proposition. Proposition 3.3 If all AC symbols are minimal in the precedence, then ....
N. Dershowitz. Orderings for term rewriting systems. Theoretical Computer Science, 17(3):279--301, Mar. 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theor. Comput. Sci., 17:279--301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theor. Comput. Sci., 17:279-- 301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theor. Comput. Sci., 17:279-- 301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theor. Comput. Sci., 17:279-- 301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theor. Comput. Sci., 17:279-- 301, 1982.
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N. Dershowitz. Orderings for term rewriting systems. Theoretical Computer Science, 17:279-301, 1982.
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N. Dershowitz. Orderings for term rewriting systems. In 20th IEEE Symposium on Foundations of Computer Science, 1979. Extended version in [45].
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N. Dershowitz. Orderings for term rewriting systems. Theoretical Computer Science, 17(3):279-301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17(3):279--301, 1982.
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Nachum Dershowitz. Orderings for term rewriting systems. Theoretical Computer Science, 17(3):279301, March 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17(3):279-301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17(3):279--301, March 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17:279--301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17:279--301, 1982.
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N. Dershowitz. Orderings for Term-Rewriting Systems. Theoretical Computer Science, 17:279--301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17:279--301, 1982.
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N. Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17:279--301, 1982.
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N. Dershowitz. Orderings for term rewriting systems. Theoretical Computer Science, 17(3):279-301, 1982.
No context found.
Nachum Dershowitz. Orderings for term-rewriting systems. Theoretical Computer Science, 17(3):279--301, 1982.
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