Carpan Collector Problem

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Probability & Stochastic Processes Log in to Mediaspace to watch this video

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Probability and Statistics Log in to Mediaspace to watch this video

Explores joint random variables, conditional density, and independence in probability and statistics.

Introduction to Inference Log in to Mediaspace to watch this video

Covers the basics of probability theory, random variables, joint probability, and inference.

Statistical Analysis: Boxplot and Normal Distribution Log in to Mediaspace to watch this video

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.

Estimating Extreme Quantiles Log in to Mediaspace to watch this video

Covers the estimation of extreme quantiles using empirical quantiles and sample data.

Stochastic Models for Communications Log in to Mediaspace to watch this video

Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.

Law of Large Numbers: Strong Convergence Log in to Mediaspace to watch this video

Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.

Probability Theory: Basics Log in to Mediaspace to watch this video

Introduces the basics of probability theory, covering events, intersections, unions, and sample space.

Probability and Statistics Log in to Mediaspace to watch this video

Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.

Conditional Density and Expectation Log in to Mediaspace to watch this video

Explores conditional density, expectations, and independence of random variables with practical examples.

Graphs and Probabilities Log in to Mediaspace to watch this video

Explores the connection between graphs and probabilities, emphasizing modular and super modular probabilities and correlation properties.

Sparsest Cut: ARV Theorem Log in to Mediaspace to watch this video

Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.

Page 2 of 2