Automated higher-order complexity analysis

  • Authors:
  • Ralph Benzinger

  • Affiliations:
  • Department of Computer Science, Cornell University, Ithaca, NY

  • Venue:
  • Theoretical Computer Science - Implicit computational complexity
  • Year:
  • 2004

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Abstract

This paper describes the automated complexity analysis (ACA) system for automated higher-order complexity analysis of functional programs synthesized with the NCPRD proof development system. We introduce a general framework for defining models of computational complexity for functional programs based on an annotation of a given operational language semantics. Within this framework, we use type decomposition and polynomialization to express the complexity of higher-order terms. Symbolic interpretation of open terms automates complexity analysis, which involves generating and solving higher-order recurrence equations. Finally, the use of the ACA system is demonstrated by analyzing three different implementations of the pigeonhole principle.