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Linear & Semidefinite Programs
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Classroom Contents
Subexponential LPs Approximate Max-Cut
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- 1 Intro
- 2 Combinatorial Optimization
- 3 Linear & Semidefinite Programs
- 4 Comparing LPs and SDPS
- 5 Case Study: Max Cut
- 6 LPs Can Approximate Max Cut!
- 7 Additional Discrete Optimization Problems
- 8 Story Time
- 9 Plot Twist: refutation in pseudorandom graphs
- 10 Conclusion: LP Approximation in any graph
- 11 High-level Proof Overview
- 12 Concluding
