Frontiers of algorithmic wisdom = in...
International Joint Conference on Theoretical Computer Science-Frontier of Algorithmic Wisdom ((2022 :)

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  • Frontiers of algorithmic wisdom = international Joint Conference, IJTCS-FAW 2022, Hong Kong, China, August 15-19, 2022 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Frontiers of algorithmic wisdom/ edited by Minming Li, Xiaoming Sun.
    其他題名: international Joint Conference, IJTCS-FAW 2022, Hong Kong, China, August 15-19, 2022 : revised selected papers /
    其他題名: IJTCS-FAW 2022
    其他作者: Li, Minming.
    團體作者: International Joint Conference on Theoretical Computer Science-Frontier of Algorithmic Wisdom
    出版者: Cham :Springer International Publishing : : 2022.,
    面頁冊數: xix, 289 p. :ill. (some col.), digital ;24 cm.
    內容註: Algorithmic Game Theory -- EFX under Budget Constraint -- Two-Facility Location Game with Distance Requirement -- Constrained Heterogeneous Two-facility Location Games with Max-variant Cost -- Optimally Integrating Ad Auction into E-Commerce Platforms -- Verifiable Crowd Computing: Coping with Bounded Rationality -- Game Theory in Block Chain -- Equilibrium analysis of block withholding attack: an evolutionary game perspective -- Frontiers of Algorithmic Wisdom -- An approximation algorithm for the H-prize-collecting power cover problem -- Online early work maximization on three hierarchical machines with a common due date -- Secure Computations through Checking Suits of Playing Cards -- Streaming Submodular Maximization with the Chance Constraint -- Colorful Graph Coloring -- On the Transversal Number of Rank k Hypergraphs -- Exact Algorithms and Hardness Results for Geometric Red-Blue Hitting Set Problem -- Bounds for the Oriented Diameter of Planar Triangulations -- String Rearrangement Inequalities and a Total Order Between Primitive Words -- Approximation Algorithms for Prize-Collecting Capacitated Network Design Problems -- Computational and Network Economics -- Possible and Necessary Winner Problems in Iterative Elections with Multiple Rules -- A Mechanism Design Approach for Multi-Party Machine Learning -- Budget-Feasible Sybil-Proof Mechanisms for Crowdsensing.
    Contained By: Springer Nature eBook
    標題: Computer science - Mathematics -
    電子資源: https://doi.org/10.1007/978-3-031-20796-9
    ISBN: 9783031207969
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