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Explore the intricate relationship between tree-depth and formula complexity in subgraph isomorphism through this insightful 25-minute IEEE conference talk. Delve into problem definitions, special cases, and formula complexity as presented by Deepanshu Kush from the University of Toronto and Benjamin Rossman from Duke University. Examine conjectures surrounding tree width and tree depth, and investigate graph minor approximation and input distribution. Gain a deeper understanding of complexity measures and supplementary results while considering potential solutions and open problems in this fascinating area of graph theory and computational complexity.
Syllabus
Introduction
Problem Definition
Special Cases
Formula Complexity
conjectures
tree width and tree depth
results
digression
graph minor approximation
input distribution
Complexity measure
Supplementary results
Solution
Open Problems
Taught by
IEEE FOCS: Foundations of Computer Science