LEC # | TOPICS | KEY DATES |
---|---|---|
1 | Fibonacci heaps | |
2 | Network flows | |
3 | Maximum flow; minimum cost circulation | Problem set 1 out |
4 | Goldberg-Tarjan min-cost circulation algorithm | |
5 | Cancel-and-tighten algorithm; binary search trees |
Problem set 1 due Problem set 2 out |
6 | Splay trees | |
7 | Dynamic trees (part 1) | |
8 | Dynamic trees (part 2) | Problem set 2 due |
9 | Linear programming (LP) | Problem set 3 out |
10 | LP: duality, geometry, simplex | |
11 | LP: complexity; introduction to the ellipsoid algorithm | Problem set 3 due |
12 | LP: ellipsoid algorithm | |
13 | LP: applications of the ellipsoid algorithm | Problem set 4 out |
14 | Conic programming I | |
15 | Conic programming II | |
16 | Approximation algorithms | Problem set 4 due |
17 | Approximation algorithms (facility location) | |
18 | Approximation algorithms (max-cut) | Problem set 5 out |
19 | Max-cut and sparsest-cut | |
20 | Multi-commodity flows and metric embeddings | Problem set 5 due |
21 | Convex hulls | |
22 | Convex hulls and fixed dimension LP | Problem set 6 out |
23 | Voronoi diagrams | |
24 | Approximation scheme for the Euclidean traveling salesman problem | |
25 | Streaming algorithms | |
26 | Streaming algorithms (cont’d) | Problem set 6 out |
Calendar
Course Info
Instructor
As Taught In
Fall
2008
Level
Learning Resource Types
notes
Lecture Notes
assignment_turned_in
Problem Sets with Solutions