Lectures

LectDateTopicReference
Linear Programming
1 08/26 Theory of LP [MG4, Go9]
2 08/28 Simplex and Other Algorithms [MG5, Go10]
3 09/04 Duality [MG6]
Network Optimization
4 09/09 Min-Cut Max-Flow [KT7, Eri10]
5 09/11 Max-Flow Algorithms [KT7, Eri10]
6 09/16 Min-Cost Max Flow [ErG, GT]
7 09/18 Optimal Transport [Rg, CP]
Approximation Algorithms
8 09/23 Vertex Cover, Set Cover [KT11, WS02,07]
9 09/25 Clustering [WS02]
10 09/30 Scheduling & Related Problems [WS03,04]
11 10/02 Multiplicative Weight Method [AHK]
12 10/07 Primal-Dual Method [WS07]
Randomized Algorithms
13 10/09 Global Min-Cut [KT13]
Exam 10/16 Midterm 1 (Lectures 1-12)
14 10/21 LP Rounding [KT13, WS05]
15 10/23 SDP Rounding [WS06]
16 10/28 Chernoff Bound, Discrepancy [MR04]
17 10/30 Probabilistic Tree Embedding [WS10]
Similarity Search
18 11/04 Nearest-Neighbor Searching [HP11]
19 11/06 Dimension Reduction [Mat15]
20 11/11 Locality Sensitive Hashing [HP20]
Algebraic/Numerical Algorithms
21 11/13 Polynomial Identity Testing [MR7]
22 11/18 Gradient Descent Methods [BV9]
23 11/20 Random Walk on Graphs [MR]
24 11/25 Cheeger Inequality & Sparsest Cut [TBD]
Exam 12/02 Midterm 2 (Lectures 13-24)

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