Counting labeled trees

Related lectures (23)

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Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Covers real sequences, induction, limits, and convergence in mathematical analysis.

Introduces Cartesian product and induction for proofs using integers and sets.

Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Covers the concept of graph sketching with a focus on connected components.

Explores directed networks with asymmetric relationships and hypergraphs that generalize graphs by allowing edges to connect any subset of nodes.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

Explores the integrality gap concept in set cover and multiplicative weights algorithms.