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Mathematical Research for Blockchain Economy

Edited by Panos Pardalos (), Ilias Kotsireas (), William J. Knottenbelt () and Stefanos Leonardos ()

in Lecture Notes in Operations Research from Springer, currently edited by Jalin Yan

Date: 2023
ISBN: 978-3-031-48731-6
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Chapters in this book:

Deep Reinforcement Learning-Based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks
Nikolaos Papadis and Leandros Tassiulas
Game-Theoretic Randomness for Proof-of-Stake
Zhuo Cai and Amir Goharshady
Incentive Schemes for Rollup Validators
Akaki Mamageishvili and Edward W. Felten
Characterizing Common Quarterly Behaviors in DeFi Lending Protocols
Aaron Green, Michael Giannattasio, Keran Wang, John S. Erickson, Oshani Seneviratne and Kristin P. Bennett
Blockchain Transaction Censorship: (In)secure and (In)efficient?
Zhipeng Wang, Xihan Xiong and William J. Knottenbelt
An Automated Market Maker Minimizing Loss-Versus-Rebalancing
Conor McMenamin, Vanesa Daza and Bruno Mazorra
Profit Lag and Alternate Network Mining
Cyril Grunspan and Ricardo Pérez-Marco
Oracle Counterpoint: Relationships Between On-Chain and Off-Chain Market Data
Zhimeng Yang, Ariah Klages-Mundt and Lewis Gudgeon
Exploring Decentralized Governance: A Framework Applied to Compound Finance
Stamatis Papangelou, Klitos Christodoulou and George Michoulis
A Mathematical Approach on the Use of Integer Partitions for Smurfing in Cryptocurrencies
Bernhard Garn, Klaus Kieseberg, Ceren Çulha, Marlene Koelbing and Dimitris E. Simos
Bigger Than We Thought: The Upbit Hack Gang
Qishuang Fu, Dan Lin and Jiajing Wu

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DOI: 10.1007/978-3-031-48731-6

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