Sublinear Insights: A Faster Classical Algorithm for Edge Coloring

Explore a cutting-edge lecture on graph theory and algorithmic advancements presented by Sepehr Assadi from the University of Waterloo and Rutgers University. Delve into the world of edge coloring algorithms, starting with Vizing's theorem and its implications for graphs with maximum degree Delta. Discover a groundbreaking randomized algorithm that achieves a Delta+O(log n) coloring in near-linear time, challenging the longstanding O(m\sqrt(n)) time complexity of previous methods. Learn how this novel approach, inspired by sublinear algorithmic techniques, leads to an O(n^2 log(n)) expected time algorithm for the (Delta+1) edge coloring problem, marking a significant improvement over existing bounds. Gain insights into the theoretical foundations and practical implications of this research, which pushes the boundaries of graph coloring efficiency and opens new avenues for algorithmic graph theory.

Sublinear Insights: A Faster (Classical) Algorithm for Edge Coloring