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What is Fast TTC Computation via Markov Matrix about?

This paper proposes a fast Markov Matrix-based methodology for computing Top Trading Cycles (TTC) that delivers O(1) computational speed independent of the number of agents and objects. The methodology represents agent preferences over objects as a weighted directed graph/Markov matrix. It then uses the Perron-Frobenius theorem to efficiently compute cycles in the graph/matrix and assign objects to agents, achieving the same results as conventional TTC but with much greater computational efficiency as the s

Author

larrylynnmail

Language

EN