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2015 | OriginalPaper | Chapter

Ratio and Weight Quantiles

Authors : Daniel Krähmann, Jana Schubert, Christel Baier, Clemens Dubslaff

Published in: Mathematical Foundations of Computer Science 2015

Publisher: Springer Berlin Heidelberg

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Abstract

Several types of weighted-automata models and formalisms to specify and verify constraints on accumulated weights have been studied in the past. The lack of monotonicity for weight functions with positive and negative values as well as for ratios of the accumulated values of non-negative weight functions renders many verification problems to be undecidable or computationally hard. Our contribution comprises polynomial-time algorithms for computing ratio and weight quantiles in Markov chains, which provide optimal bounds guaranteed almost surely or with positive probability on, e.g., cost-utility ratios or the energy conversion efficiency.

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Metadata
Title
Ratio and Weight Quantiles
Authors
Daniel Krähmann
Jana Schubert
Christel Baier
Clemens Dubslaff
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-48057-1_27

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