Tail recursion transformation for invertible functions

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Dokumenter

  • Fulltext

    Indsendt manuskript, 214 KB, PDF-dokument

Tail recursive functions allow for a wider range of optimisations than general recursive functions. For this reason, much research has gone into the transformation and optimisation of this family of functions, in particular those written in continuation passing style (CPS).

Though the CPS transformation, capable of transforming any recursive function to an equivalent tail recursive one, is deeply problematic in the context of reversible programming (as it relies on troublesome features such as higher-order functions), we argue that relaxing (local) reversibility to (global) invertibility drastically improves the situation. On this basis, we present an algorithm for tail recursion conversion specifically for invertible functions. The key insight is that functions introduced by program transformations that preserve invertibility, need only be invertible in the context in which the functions subject of transformation calls them. We show how a bespoke data type, corresponding to such a context, can be used to transform invertible recursive functions into a pair of tail recursive function acting on this context, in a way where calls are highlighted, and from which a tail recursive inverse can be straightforwardly extracted.
OriginalsprogEngelsk
TitelReversible Computation : 15th International Conference, RC 2023, Giessen, Germany, July 18–19, 2023, Proceedings
ForlagSpringer
Publikationsdato2023
Sider73–88
ISBN (Trykt)978-3-031-38099-0
ISBN (Elektronisk)978-3-031-38100-3
DOI
StatusUdgivet - 2023
Begivenhed15th International Conference on Reversible Computation, RC 2023 - Giessen, Tyskland
Varighed: 18 jul. 202319 jul. 2023

Konference

Konference15th International Conference on Reversible Computation, RC 2023
LandTyskland
ByGiessen
Periode18/07/202319/07/2023
NavnLecture Notes in Computer Science
Vol/bind13960
ISSN0302-9743

ID: 359598632