Space Complexity Insights

Michael, Alan, and Joe discuss the space complexity of algorithms, highlighting how it varies with the number of vertices and edges. They delve into the significance of memoization tables in tracking space usage and how it relates to the worst and best-case scenarios. The team also touches on approximating complexities based on the number of neighbors in a graph.