We show that simple structural conditions on proofs of convergence of equational programs, in the intrinsic-theories verification framework of [16], correspond to resource bounds on program execution. These conditions may be construed as reflecting finitistic-predicative reasoning. The results provide a user-transparent method for certifying the computational complexity of functional programs. In particular, we define natural notions of data-positive formulas and of data-predicative derivations, and show that restricting induction to data-positive formulas captures precisely the primitive recursive functions, data-predicative derivations characterize the Kalmar-elementary functions, and the combination of both yields the poly-time functions.
CITATION STYLE
Leivant, D. (2001). Termination proofs and complexity certification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2215, pp. 183–200). Springer Verlag. https://doi.org/10.1007/3-540-45500-0_9
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