BRIM, Luboš, Jakub CHALOUPKA, Laurent DOYEN, Raffaella GENTILINI and Jean-François RASKIN. Faster algorithms for mean-payoff games. Formal Methods in System Design. Springer Netherlands, 2011, vol. 38, No 2, p. 97-118. ISSN 0925-9856. Available from: https://dx.doi.org/10.1007/s10703-010-0105-x.
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Basic information
Original name Faster algorithms for mean-payoff games
Authors BRIM, Luboš (203 Czech Republic, guarantor, belonging to the institution), Jakub CHALOUPKA (203 Czech Republic, belonging to the institution), Laurent DOYEN (56 Belgium), Raffaella GENTILINI (380 Italy) and Jean-François RASKIN (56 Belgium).
Edition Formal Methods in System Design, Springer Netherlands, 2011, 0925-9856.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 0.690
RIV identification code RIV/00216224:14330/11:00050261
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1007/s10703-010-0105-x
UT WoS 000288671700001
Keywords in English Mean payoff objectives; Algorithms and complexity upper bounds
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 20/4/2012 09:16.
Abstract
In this paper, we study algorithmic problems for quantitative models that are motivated by the applications in modeling embedded systems. We consider two-player games played on a weighted graph with mean-payoff objective and with energy constraints. We present a new pseudopolynomial algorithm for solving such games, improving the best known worst-case complexity for pseudopolynomial mean-payoff algorithms. Our algorithm can also be combined with the procedure by Andersson and Vorobyov to obtain a randomized algorithm with currently the best expected time complexity. The proposed solution relies on a simple fixpoint iteration to solve the log-space equivalent problem of deciding the winner of energy games. Our results imply also that energy games and mean-payoff games can be reduced to safety games in pseudopolynomial time.
Links
GA201/09/1389, research and development projectName: Verifikace a analýza velmi velkých počítačových systémů
Investor: Czech Science Foundation, Verification and Analysis of Large-Scale Computer Systems
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
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