Finding Large Cliques in Random and Semi-Random Graphs
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore the intricacies of finding large cliques in random and semi-random graphs in this Richard M. Karp Distinguished Lecture delivered by Uriel Feige from the Weizmann Institute of Science. Delve into the click problem, examining the model and proof while considering constructive arguments. Investigate algorithms for finding clicks and understand why the click is not a fixed parameter. Follow the proof in polynomial time and review the algorithm, paradigm, and hypothesis. Gain valuable insights into this complex topic through a comprehensive one-hour presentation that covers introduction, summary, and in-depth analysis of the subject matter.
Syllabus
Introduction
The Click Problem
The Model
Proof
Constructive Arguments
Algorithms for finding clicks
Click is not fixed parameter
Proof in polynomial time
Summary
Algorithm Review
Paradigm
Hypothesis
Taught by
Simons Institute
Related Courses
Automata TheoryStanford University via edX Intro to Theoretical Computer Science
Udacity Computing: Art, Magic, Science
ETH Zurich via edX 理论计算机科学基础 | Introduction to Theoretical Computer Science
Peking University via edX Quantitative Formal Modeling and Worst-Case Performance Analysis
EIT Digital via Coursera