The algorithm convergence when the number of buyers and sellers varies.

The algorithm convergence when the number of buyers and sellers varies.

<p>The algorithm convergence when the number of buyers and sellers varies.</p>

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Bibliographic Details
Main Author:	Quyuan Wang (8724972) (author)
Other Authors:	Xinyu Ni (14859604) (author), Yuping Tu (21755873) (author), Ying Wang (11406) (author), Jiadi Liu (9300461) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified simulation results demonstrate payoff maximization problem market dynamics evolve effectively allocate budgets develop two types brought growing interest addressed technical aspects underlying economic mechanisms stepped price adjustments resource trading strategies resource trading smoothed adjustments proposed strategies economic tools resource allocation resource acquisition xlink "> thereby addressing task publishers strategic effectiveness risk selection rapid development prior research pricing algorithms one based less attention edge computing data resources data acquisition coupling relationship budget constraints artificial intelligence another based also explore algorithmic efficiency
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