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Tight Worst-Case Bounds for Polynomial Loop Programs

Ben-Amram, Amir M. and Hamilton, Geoff orcid logoORCID: 0000-0001-5954-6444 (2019) Tight Worst-Case Bounds for Polynomial Loop Programs. In: International Conference on Foundations of Software Science and Computation Structures, 8-11 April 2019, Prague, Czech Republic. ISBN 978-3-030-17126-1

Abstract
In 2008, Ben-Amram, Jones and Kristiansen showed that for a simple programming language|representing non-deterministic imperative programs with bounded loops, and arithmetics limited to addition and multiplication|it is possible to decide precisely whether a program has certain growth-rate properties, in particular whether a computed value, or the program's running time, has a polynomial growth rate. A natural and intriguing problem was to improve the precision of the information obtained. This paper shows how to obtain asymptotically-tight multivariate polynomial bounds for this class of programs. This is a complete solution: whenever a polynomial bound exists it will be found.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:asymptotically-tight, multivariate, disjunctive, worst-case, polynomial bounds
Subjects:Computer Science > Computational complexity
DCU Faculties and Centres:UNSPECIFIED
Published in: Foundations of Software Science and Computation Structures. Lecture Notes in Computer Science 11425. Springer. ISBN 978-3-030-17126-1
Publisher:Springer
Official URL:https://link.springer.com/book/10.1007/978-3-030-1...
Copyright Information:Creative Commons Attribution 4.0 International License (Open Access)
Funders:School of Computing, DCU
ID Code:23428
Deposited On:18 Dec 2019 11:50 by Geoffrey Hamilton . Last Modified 06 Nov 2020 12:37
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