On Sharing, Memoization, and Polynomial Time - Inria - Institut national de recherche en sciences et technologies du numérique
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.
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Dates et versions

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

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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⟩
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