Max-Flow Min-Cut

Related lectures (30)

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Covers quantum algorithms, complexity classes, Grover's algorithm, and quantum information in computational complexity.

Explores interlacing families of polynomials and 1-sided Ramanujan graphs, focusing on their properties and construction methods.

Explores interlacing families, Ramanujan graphs, and their construction using signed adjacency matrices.

Introduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.

Delves into complexity theory, focusing on the P vs NP problem and the classification of computational problems based on efficiency.

Explores pseudorandomness theory, AI challenges, pseudo-random graphs, random walks, and matrix properties.

Covers finding the shortest path in directed graphs efficiently using algorithmic approaches and discussing related NP-complete problems.

Explores cryptanalysis in public-key systems and the power of interaction in interactive proofs, covering CO-NP, NP classes, P vs. NP, and more.

Covers the basics of computational complexity, including big O notation and complexity classes.

Covers the linear optimization problem of the transhipment model.