Characterizing polynomial time complexity of stream programs using interpretations-Reference-Cited by-同舟云学术

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Characterizing polynomial time complexity of stream programs using interpretations

Published:2015-06 Issue: Volume:585 Page:41-54
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Férée Hugo,Hainry Emmanuel,Hoyrup Mathieu,Péchoux Romain

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference24 articles.

1. Type two computational complexity;Constable,1973

2. Polynomial and abstract subrecursive classes;Mehlhorn,1974

3. A new characterization of type-2 feasibility;Kapron;SIAM J. Comput.,1996

4. Turing machine characterizations of feasible functionals of all finite types;Seth,1995

5. On characterizations of the basic feasible functionals (Part I);Irwin;J. Funct. Programming,2001

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1. A tier-based typed programming language characterizing Feasible Functionals;Logical Methods in Computer Science;2022-02-24

2. Complete and tractable machine-independent characterizations of second-order polytime;Lecture Notes in Computer Science;2022

3. A tier-based typed programming language characterizing Feasible Functionals;Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science;2020-07-08

4. THEORY OF HIGHER ORDER INTERPRETATIONS AND APPLICATION TO BASIC FEASIBLE FUNCTIONS;LOG METH COMPUT SCI;2020

5. Polynomial Time over the Reals with Parsimony;Functional and Logic Programming;2020

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