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Related lectures (30)
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Ramsey Theory: Alterations and Colorings
Explores Ramsey theory, alterations, colorings in graphs, monochromatic matchings, and the significance of large cliques.
Markov Chains: Applications and Sampling Methods
Covers the basics of Markov chains and their algorithmic applications.
Promise Constraint Satisfaction and Width
Covers Promise Constraint Satisfaction Problems complexity, width, graph coloring, polymorphisms, and algorithms.
Graph Theory Basics
Introduces graph theory basics, Ramsey theory, and graph coloring concepts.
Graph Coloring: Theory and Applications
Explores graph coloring theory, spectral clustering, community detection, and network structures.
Graph Coloring: Basics and Applications
Covers the basics and applications of graph coloring, including balancing vectors and achieving perfect fairness.
Register Allocation Using Graph Coloring
Covers register allocation using graph coloring to minimize memory access in programs.
Graphical Models: Probability Distributions and Factor Graphs
Covers graphical models for probability distributions and factor graphs representation.
Interactive Proofs: The Power of Interaction
Explores interactive proofs, zero-knowledge, parallel composition, and cryptographic protocols.
Graphical Models: Joint Probability Distribution
Covers the concept of graphical models and joint probability distributions.