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Related lectures (9)
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Probability Theory: Markov's Theorem
Explores Markov's theorem, Chernoff bound, and probability theory fundamentals, including good coloring, 2-colorable graphs, and rare events.
Probabilistic Methods in Combinatorics
Covers probabilistic methods in combinatorics, monochromatic edges, 2-colorable graphs, and good 2-colorings.
Local structure of totally disconnected locally compact groups V
Explores the local structure of totally disconnected locally compact groups, focusing on GER and Mon (G), their properties, and faithful actions.
Topology of Riemann Surfaces
Covers the topology of Riemann surfaces and the concept of triangulation using finitely many triangles.
Mapping and Colouring: Poisson Processes
Covers the theorems of superposition and colouring for Poisson processes.
Markov Chains and Algorithm Applications
Covers the fundamentals of Markov chains and their applications in algorithms, focusing on proper coloring and the Metropolis algorithm.
Analyzing Limits: Indeterminate Forms
Explores handling indeterminate forms in limits through simplification and extracting dominant terms for effective evaluation.
Graph Coloring: Basics and Applications
Covers the basics and applications of graph coloring, including balancing vectors and achieving perfect fairness.
Transactions: Concepts and Implementations
Explores the elegance and challenges of transactions, including ACID properties and transactional memory benefits in concurrent programming.
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