Introduction to Discrete Optimization Lecture 18 Maxcut Approximation Algorithm Via Sdp
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Discrete Optimization Lecture 18 Maxcut Approximation Algorithm Via Sdp Comprehensive Overview
Maxcut The problem of Samuel Hopkins (UC Berkeley); Tselil Schramm (Stanford); Luca Trevisan (Bocconi Univ.)
Lecture 18
Summary & Highlights for Discrete Optimization Lecture 18 Maxcut Approximation Algorithm Via Sdp
- Taking an exact quadratic program for
- We'll continue uh so if you recall uh so like we have reached the end of one aspect of
- Computer Science/
- Pablo Parrilo, MIT and Ankur Moitra, MIT https://simons.berkeley.edu/talks/Sum_of_Squares_Proofs1 Bridging Continuous and ...
- Contents: - randomized
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