Schedule

Tentative and updated as the quarter goes. Slides open in presentation mode (press F for fullscreen, S for speaker view, E for print/PDF mode).

# Date Topic Materials Reading Recommended Exercises
1 9/29 Why eigenvectors? A tour of spectral methods Slides · demos: PageRank, Fiedler vector, Heat diffusion LA Review I Perron–Frobenius · ℓ₁ contraction
2 10/1 Graphs as Differential Operators. Random Walks, the Heat Kernel, Measures vs. Densities. Slides · demo: Split and aggregate Lecture 2 notes §1–2 Computing with Laplacians, Ex. 1–7
3 10/6 Random Walks and their Convergence: Mixing Times, the Spectral Gap, Canonical Paths Slides Lecture 2 notes §3–6 Computing with Laplacians, Ex. 8–9
4 10/8 Spectral Clustering and Eigenvector Perturbation Davis–Kahan
5 10/13 Conductance and Cheeger’s Inequality
6 10/15 Higher-order and k-way Cheeger’s Inequalities
7 10/20 Electrical Flows and Fast Laplacian Solvers
8 10/22 Semidefinite Programming and MMWUs
LA Review II