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New Frontiers in Quantitative Methods in Informatics

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Cover of 'New Frontiers in Quantitative Methods in Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Geofenced Broadcasts via Centralized Scheduling of Device-to-Device Communications in LTE-Advanced
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    Chapter 2 Analysis of Performance in Depth Based Routing for Underwater Wireless Sensor Networks
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    Chapter 3 Performance Evaluation of a Secure and Scalable E-Voting Scheme Using PEPA
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    Chapter 4 Modeling Crowd Behavior in a Theater
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    Chapter 5 Vs-Driven Big Data Process Development
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    Chapter 6 Capacity Planning of Fog Computing Infrastructures for Smart Monitoring
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    Chapter 7 Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems
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    Chapter 8 Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach
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    Chapter 9 $$\mathtt {Entang{\lambda }}$$ Entang λ e: A Translation Framework from Quipper Programs to Quantum Markov Chains
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    Chapter 10 Analysis of Non-Markovian Systems in GreatSPN
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    Chapter 11 Evaluation of Iterative Methods on Large Markov Chains Generated by GSPN Models
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    Chapter 12 Mean Field Analysis for Continuous Time Bayesian Networks
Attention for Chapter 11: Evaluation of Iterative Methods on Large Markov Chains Generated by GSPN Models
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Chapter title
Evaluation of Iterative Methods on Large Markov Chains Generated by GSPN Models
Chapter number 11
Book title
New Frontiers in Quantitative Methods in Informatics
Published by
Springer, Cham, December 2017
DOI 10.1007/978-3-319-91632-3_11
Book ISBNs
978-3-31-991631-6, 978-3-31-991632-3
Authors

Stefano Caselli, Gianni Conte, Mauro Diligenti

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