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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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnoprs:978-3-031-48731-6
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DOI: 10.1007/978-3-031-48731-6
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