Tailoring Recursion to Characterize Non-Deterministic Complexity Classes Over Arbitrary Structures
Olivier Bournez,Felipe Cucker,P. de Jacobe Naurois,Jean-Yves Marion +3 more
- 14 Apr 2004
- pp 409-422
TL;DR: It is shown that polynomial alternating time corresponds to safe recursion with predicative substitutions and that digital polyn coefficients alternating time correspond to safeRecursion with digital predicative substitution.
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Abstract: We provide machine-independent characterizations of some complexity classes, over an arbitrary structure, in the model of computation proposed by L. Blum, M. Shub and S. Smale. We show that the levels of the polynomial hierarchy correspond to safe recursion with predicative minimization. The levels of the digital polynomial hierarchy correspond to safe recursion with digital predicative minimization. Also, we show that polynomial alternating time corresponds to safe recursion with predicative substitutions and that digital polynomial alternating time corresponds to safe recursion with digital predicative substitutions.
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Modèles Continus. Calculs. Algorithmique Distribuée.
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TL;DR: In this article, the authors present a panorama of quelques-uns of persons who have expressed their opinions about the polynomiality of a certain notion of concurrence entre agents.
References
•Book
Complexity and Real Computation
Lenore Blum,Felipe Cucker,Michael Shub,Steve Smale +3 more
- 30 Oct 1997
TL;DR: This chapter discusses decision problems and Complexity over a Ring and the Fundamental Theorem of Algebra: Complexity Aspects.
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Cobham Alan. The intrinsic computational difficulty of functions. Logic, methodology and philosophy of science, Proceedings of the 1964 International Congress , edited by Bar-Hillel Yehoshua, Studies in logic and the foundations of mathematics, North-Holland Publishing Company, Amsterdam 1965, pp. 24–30.
Abstract: ALAN COBHAM. The intrinsic computational difficulty of functions. Logic, methodology and philosophy of science, Proceedings of the 1964 International Congress, edited by Yehoshua BarHillel, Studies in logic and the foundations of mathematics, North-Holland Publishing Company, Amsterdam 1965, pp. 24-30. This is perhaps the best general discussion in print of the subject of the title. Although the interesting work of Blum (see the following review) demonstrates that much can be said on the subject which is almost completely independent of the methods used to compute functions, the present paper points out the need for a theory giving specific measures of the intrinsic computational difficulty of specific functions such as addition and multiplication. The author does not provide such a theory, but does state some results which form a beginning, and focuses attention on problems which deserve study. One such result generalizes Ritchie's work (Classes of predictably computable functions, XXVIII 252) and characterizes each class &", k ^ 3, of the Grzegorczyk hierarchy in terms of the time and storage required to compute its members by machines. Since there is no parallel to this theorem for k < 3 (at least in terms of computation time) the author introduces a class £f consisting of those functions which are computed by Turing machines in a number of steps bounded by a polynomial in the length (say, in decimal notation) of the input. He argues that i f is a natural class to consider, since the Turing machines could be replaced by any reasonable computing model and the class would remain unchanged. He states without proof the following interesting characterization of -S?. THEOREM. & is the least class of functions including the eleven functions s{(x) = 10* + /, / = 0, 1, • • •, 9, and x? (where ((y) is the decimal length of y), and closed under the operations of explicit transformation, composition, and limited recursion on notation (digit-by-digit recursion). Among the problems posed, one of the most interesting is to decide whether «? (of the Grzegorczyk hierarchy) is contained in £P. The author conjectures the function f(n) = the nth prime is in — .S?. A second interesting problem is to find a precisely defined class .S? of functions which satisfies the informal criterion that a function/is in i ? 1 if and only if/(jf) can be computed within a time proportional to the length of x. Any obvious definition turns out to depend heavily on the class of machines allowed to do the computing. STEPHEN A. COOK
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Ramified Recurrence and Computational Complexity II: Substitution and Poly-Space
Daniel Leivant,Jean-Yves Marion +1 more
- 25 Sep 1994
TL;DR: An applicative characterization of poly-space is proved as the set of functions over \(\mathbb{W} = 0,1\} *\)defined by ramified recurrence with parameter substitution, thereby enabling the simulation of parallel (alternating) computing.
113
Metafinite model theory
Erich Grädel,Yuri Gurevich +1 more
TL;DR: Motivated by computer science challenges, it is suggested to extend the approach and methods of finite model theory beyond finite structures to address the challenges posed by the rapidly changing environment.
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