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In this 28-minute conference talk from the International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2025), Alexander Gnedin from Queen Mary University presents a mathematical exploration of random graph growth models. Discover the probabilistic foundations, combinatorial structures, and asymptotic behaviors that characterize these models. The presentation, delivered on May 9, 2025 at the Fields Institute, offers insights into how random graphs evolve and the mathematical tools used to analyze their properties.
Syllabus
A Random Graph Growth Model
Taught by
Fields Institute