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相关论文: Static Dependency Pair Method based on Strong Comp…

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Dependency pairs constitute a series of very effective techniques for the termination analysis of term rewriting systems. In this paper, we adapt the static dependency pair framework to logically constrained simply-typed term rewriting…

计算机科学中的逻辑 · 计算机科学 2024-07-31 Liye Guo , Kasper Hagens , Cynthia Kop , Deivid Vale

The static dependency pair method is a method for proving the termination of higher-order rewrite systems a la Nipkow. It combines the dependency pair method introduced for first-order rewrite systems with the notion of strong computability…

计算机科学中的逻辑 · 计算机科学 2011-09-21 Sho Suzuki , Keiichirou Kusakari , Frédéric Blanqui

We revisit the static dependency pair method for proving termination of higher-order term rewriting and extend it in a number of ways: (1) We introduce a new rewrite formalism designed for general applicability in termination proving of…

计算机科学中的逻辑 · 计算机科学 2019-04-08 Carsten Fuhs , Cynthia Kop

Dependency pairs are one of the most powerful techniques for proving termination of term rewrite systems (TRSs), and they are used in almost all tools for termination analysis of TRSs. Problem #106 of the RTA List of Open Problems asks for…

计算机科学中的逻辑 · 计算机科学 2024-04-24 Jan-Christoph Kassing , Grigory Vartanyan , Jürgen Giesl

Arts and Giesl proved that the termination of a first-order rewrite system can be reduced to the study of its "dependency pairs". We extend these results to rewrite systems on simply typed lambda-terms by using Tait's computability…

计算机科学中的逻辑 · 计算机科学 2018-04-25 Frédéric Blanqui

The dependency pair (DP) framework is one of the most powerful techniques for automatic termination and complexity analysis of term rewrite systems. While DPs were extended to prove almost-sure termination of probabilistic term rewrite…

计算机科学中的逻辑 · 计算机科学 2025-10-16 Jan-Christoph Kassing , Leon Spitzer , Jürgen Giesl

Dependency pairs are one of the most powerful techniques to analyze termination of term rewrite systems (TRSs) automatically. We adapt the dependency pair framework to the probabilistic setting in order to prove almost-sure innermost…

计算机科学中的逻辑 · 计算机科学 2023-07-20 Jan-Christoph Kassing , Jürgen Giesl

Dependency pairs are one of the most powerful techniques to analyze termination of term rewrite systems (TRSs) automatically. We adapt the dependency pair framework to the probabilistic setting in order to prove almost-sure innermost…

计算机科学中的逻辑 · 计算机科学 2023-06-06 Jan-Christoph Kassing , Jürgen Giesl

We extend the higher-order termination method of dynamic dependency pairs to Algebraic Functional Systems (AFSs). In this setting, simply typed lambda-terms with algebraic reduction and separate {\beta}-steps are considered. For left-linear…

计算机科学中的逻辑 · 计算机科学 2015-07-01 Cynthia Kop , Femke van Raamsdonk

In recent years, two higher-order extensions of the powerful dependency pair approach for termination analysis of first-order term rewriting have been defined: the static and the dynamic approach. Both approaches offer distinct advantages…

计算机科学中的逻辑 · 计算机科学 2018-05-25 Carsten Fuhs , Cynthia Kop

Logically Constrained Term Rewriting Systems (LCTRSs) provide a general framework for term rewriting with constraints. We discuss a simple dependency pair approach to prove termination of LCTRSs. We see that existing techniques transfer to…

计算机科学中的逻辑 · 计算机科学 2016-01-14 Cynthia Kop

Dependency pairs are a key concept at the core of modern automated termination provers for first-order term rewriting systems. In this paper, we introduce an extension of this technique for a large class of dependently-typed higher-order…

计算机科学中的逻辑 · 计算机科学 2020-07-16 Frédéric Blanqui , Guillaume Genestier , Olivier Hermant

Dependency pairs (DPs) are one of the most powerful techniques for automated termination analysis of term rewrite systems. Recently, we adapted the DP framework to the probabilistic setting to prove almost-sure termination (AST) via…

计算机科学中的逻辑 · 计算机科学 2025-01-23 Jan-Christoph Kassing , Jürgen Giesl

Refinement types are a well-studied manner of performing in-depth analysis on functional programs. The dependency pair method is a very powerful method used to prove termination of rewrite systems; however its extension to higher order…

计算机科学中的逻辑 · 计算机科学 2011-01-25 Cody Roux

Dependency pairs are one of the most powerful techniques to analyze termination of term rewrite systems automatically. We adapt dependency pairs to the probabilistic setting and develop an annotated dependency pair framework for…

计算机科学中的逻辑 · 计算机科学 2025-06-09 Jan-Christoph Kassing , Jürgen Giesl

This article is concerned with automated complexity analysis of term rewrite systems. Since these systems underlie much of declarative programming, time complexity of functions defined by rewrite systems is of particular interest. Among…

计算机科学中的逻辑 · 计算机科学 2011-06-02 Nao Hirokawa , Georg Moser

We study the derivational complexity of rewrite systems whose termination is provable in the dependency pair framework using the processors for reduction pairs, dependency graphs, or the subterm criterion. We show that the derivational…

计算机科学中的逻辑 · 计算机科学 2011-03-29 Georg Moser , Andreas Schnabl

In this short paper, we present a simple variant of the recursive path ordering, specified for Logically Constrained Simply Typed Rewriting Systems (LCSTRSs). This is a method for curried systems, without lambda but with partially applied…

计算机科学中的逻辑 · 计算机科学 2024-06-27 Cynthia Kop

Recently, the well-known dependency pair (DP) framework was adapted to a dependency tuple framework in order to prove almost-sure innermost termination (iAST) of probabilistic term rewrite systems. While this approach was incomplete, in…

计算机科学中的逻辑 · 计算机科学 2024-03-01 Jan-Christoph Kassing , Stefan Dollase , Jürgen Giesl

Rewriting is a framework for reasoning about functional programming. The dependency pair criterion is a well-known mechanism to analyze termination of term rewriting systems. Functional specifications with an operational semantics based on…

计算机科学中的逻辑 · 计算机科学 2019-11-04 Ariane Alves Almeida , Mauricio Ayala-Rincon
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