On Sharing, Memoization, and Polynomial Time - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

On Sharing, Memoization, and Polynomial Time

Résumé

We study how the adoption of an evaluation mechanism with sharing and memoization impacts the class of functions which can be computed in polynomial time. We first show how a natural cost model in which lookup for an already computed result has no cost is indeed invariant. As a corollary, we then prove that the most general notion of ramified recurrence is sound for polynomial time, this way settling an open problem in implicit computational complexity.
Fichier principal
Vignette du fichier
4.pdf (786.44 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01231816 , version 1 (03-12-2015)

Licence

Licence Ouverte - etalab

Identifiants

Citer

Martin Avanzini, Ugo Dal Lago. On Sharing, Memoization, and Polynomial Time. Proceedings of STACS 2015, 2015, Munich, Germany. ⟨10.4230/LIPIcs.STACS.2015.62⟩. ⟨hal-01231816⟩
178 Consultations
133 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More