Spectral Graph Theory - Eigenvalues at CMU - Lecture 15a of CS Theory Toolkit
Offered By: Ryan O'Donnell via YouTube
Course Description
Overview
Explore the third installment of Spectral Graph Theory in this graduate-level lecture from Carnegie Mellon University's "CS Theory Toolkit" course. Delve into the eigenvalues of the Laplacian and Markov operator, along with associated formulas. Learn from Professor Ryan O'Donnell as he covers key concepts including the K Operator, theorems, eigenvectors, notation, expansion, and corollaries. Utilize Spielman's "Spectral and Algebraic Graph Theory" book as a supplementary resource for this 22-minute lecture, which forms part of a comprehensive semester-long program on math and CS fundamentals for theoretical computer science research.
Syllabus
Introduction
Recap
K Operator
Theorem
eigenvectors
Notation
Expansion
corollaries
Taught by
Ryan O'Donnell
Related Courses
Aplicaciones de la teoría de grafos a la vida realMiríadax Aplicaciones de la Teoría de Grafos a la vida real
Universitat Politècnica de València via UPV [X] Introduction to Computational Thinking and Data Science
Massachusetts Institute of Technology via edX Genome Sequencing (Bioinformatics II)
University of California, San Diego via Coursera Algorithmic Information Dynamics: From Networks to Cells
Santa Fe Institute via Complexity Explorer