arXiv subjects

Thaynara Arielly de Lima

Publications and source records attributed to Thaynara Arielly de Lima.

6 recordsLinked to original sources

arXiv2026

Proceedings 21st International Symposium on Logical and Semantic Frameworks with Applications

This volume contains the proceedings of the 21st Workshop on Logical and Semantic Frameworks with Applications (LSFA 2026), held in Lisbon, Portugal, from July 18 to July 19, 2026. LSFA aims to promote techniques and results from the theoretical side, ranging from well-established ones such as lambda calculus and type theory to state-of-the-art ones such as machine learning, and provide feedback on integrating, implementing, and using such methods and results from the practical side.

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arXiv2026

Anti-Unification Completeness Analysis in PVS

In syntactic anti-unification, one is concerned with finding the commonalities between terms, while (uniformly) abstracting their differences. The original goal of anti-unification development in the seventies was to automate inductive reasoning. Recent applications of anti-unification techniques include efficiently transforming sequential code into parallel code, detecting code clones, and preventing software failures. Previous work addressed the elements required to verify, in the Prototype Verification System (PVS), termination and soundness of a functional algorithm based on inference rules for syntactic anti-unification. This paper dissects all aspects required to formally establish the completeness of the rule-based algorithm, highlighting the significant differences in the formalizations of anti-unification and unification.

cs.LO↗

arXiv2025

Graded Quantitative Narrowing

The recently introduced framework of Graded Quantitative Rewriting is an innovative extension of traditional rewriting systems, in which rules are annotated with degrees drawn from a quantale. This framework provides a robust foundation for equational reasoning that incorporates metric aspects, such as the proximity between terms and the complexity of rewriting-based computations. Quantitative narrowing, introduced in this paper, generalizes quantitative rewriting by replacing matching with unification in reduction steps, enabling the reduction of terms even when they contain variables, through simultaneous instantiation and rewriting. In the standard (non-quantitative) setting, narrowing has been successfully applied in various domains, including functional logic programming, theorem proving, and equational unification. Here, we focus on quantitative narrowing to solve unification problems in quantitative equational theories over Lawverean quantales. We establish its soundness and discuss conditions under which completeness can be ensured. This approach allows us to solve quantitative equations in richer theories than those addressed by previous methods.

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arXiv2024

Formalizing Factorization on Euclidean Domains and Abstract Euclidean Algorithms

This paper discusses the extension of the Prototype Verification System (PVS) sub-theory for rings, part of the PVS algebra theory, with theorems related to the division algorithm for Euclidean rings and Unique Factorization Domains that are general structures where an analog of the Fundamental Theorem of Arithmetic holds. First, we formalize the general abstract notions of divisibility, prime, and irreducible elements in commutative rings, essential to deal with unique factorization domains. Then, we formalize the landmark theorem, establishing that every principal ideal domain is a unique factorization domain. Finally, we specify the theory of Euclidean domains and formally verify that the rings of integers, the Gaussian integers, and arbitrary fields are Euclidean domains. To highlight the benefits of such a general abstract discipline of formalization, we specify a Euclidean gcd algorithm for Euclidean domains and formalize its correctness. Also, we show how this correctness is inherited under adequate parameterizations for the structures of integers and Gaussian integers.

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arXiv2022

Reconfigurable Heterogeneous Parallel Island Models

Heterogeneous Parallel Island Models (HePIMs) run different bio-inspired algorithms (BAs) in their islands. From a variety of communication topologies and migration policies fine-tuned for homogeneous PIMs (HoPIMs), which run the same BA in all their islands, previous work introduced HePIMs that provided competitive quality solutions regarding the best-adapted BA in HoPIMs. This work goes a step forward, maintaining the population diversity provided by HePIMs, and increasing their flexibility, allowing BA reconfiguration on islands during execution: according to their performance, islands may substitute their BAs dynamically during the evolutionary process. Experiments with the introduced architectures (RecHePIMs) were applied to the NP-hard problem of sorting permutations by reversals, using four different BAs, namely, simple Genetic Algorithm, Double-point crossover Genetic Algorithm, Differential Evolution, and self-adjusting Particle Swarm Optimization. The results showed that the new reconfigurable heterogeneous models compute better quality solutions than the HePIMs closing the gap with the HoPIM running the best-adapted BA.

cs.NE↗

arXiv2020

Teaching Interactive Proofs to Mathematicians

This work discusses an approach to teach to mathematicians the importance and effectiveness of the application of Interactive Theorem Proving tools in their specific fields of interest. The approach aims to motivate the use of such tools through short courses. In particular, it is discussed how, using as case-of-study algebraic notions and properties, the use of the proof assistant Prototype Verification System PVS is promoted to interest mathematicians in the development of their mechanized proofs.

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