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OverviewThis book constitutes the proceedings of the 16th International Symposium on Functional and Logic Programming, FLOPS 2022, held in Kyoto, Japan, in May 2022. The 12 papers presented in this volume were carefully reviewed and selected from 30 submissions. Additionally, the volume includes two system descriptions and a declarative pearl paper. The papers cover all aspects of the design, semantics, theory, applications, implementations, and teaching of declarative programming focusing on topics such as functional programming, logic programming, declarative programming, constraint programming, formal method, model checking, program transformation, program refinement, and type theory. Full Product DetailsAuthor: Michael Hanus , Atsushi IgarashiPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2022 Volume: 13215 Weight: 0.462kg ISBN: 9783030994600ISBN 10: 3030994600 Pages: 283 Publication Date: 31 March 2022 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsEnhancing expressivity of checked corecursive streams.- Improving Type Error Reporting for Type Classes.- Asynchronous Unfold/Fold Transformation for Fixpoint Logic.- Program Logic for Higher-Order Probabilistic Programs in Isabelle/HOL.- Generating C (System Description).- Translation Certification for Smart Contracts.- Zipping Strategies and Attribute Grammars.- Unified Program Generation and Verification: A Case Study on Number-Theoretic Transform.- Scheduling Complexity of Interleaving Search.- Automated Generation of Control Concepts Annotation Rules Using Inductive Logic Programming (System Description).- A Functional Account of Probabilistic Programming with Possible Worlds (Declarative Pearl).- Explanations as Programs in Probabilistic Logic Programming.- FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data.- A Lazy Desugaring System for Evaluating Programs with Sugars.- On Transforming Cut- and Quantifier-Free Cyclic Proofs into Rewriting-Induction Proofs.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |