Characterizations of polynomial complexity classes with a better intensionality

  • Authors:
  • Jean-Yves Marion;Romain Péchoux

  • Affiliations:
  • Nancy-Université, Loria, Vandoeuvre-lès-Nancy Cedex, France;Nancy-Université, Loria, Vandoeuvre-lès-Nancy Cedex, France

  • Venue:
  • Proceedings of the 10th international ACM SIGPLAN conference on Principles and practice of declarative programming
  • Year:
  • 2008

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Abstract

In this paper, we study characterizations of polynomial complexity classes using first order functional programs and we try to improve their intensionality, that is the number of natural algorithms captured. We use polynomial assignments over the reals. The polynomial assignments used are inspired by the notions of quasiinterpretation and sup-interpretation, and are decidable when considering polynomials of bounded degree ranging over real numbers. Contrarily to quasi-interpretations, the considered assignments are not required to have the subterm property. Consequently, they capture a strictly larger number of natural algorithms (including quotient, gcd, duplicate elimination from a list) than previous characterizations using quasi-interpretations