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 Taking an exact quadratic program for
Textbooks: Computational Complexity: A Modern Approach by S. Arora and B. Barak.
Summary & Highlights for Discrete Optimization Lecture 18 Maxcut Approximation Algorithm Via Sdp
- Part of
- Fourth and last video of the Semidefinite Programming series. In this video, we will go over Goemans and Williamson's
- And let's give a better
- We'll continue uh so if you recall uh so like we have reached the end of one aspect of
- Samuel Hopkins (UC Berkeley); Tselil Schramm (Stanford); Luca Trevisan (Bocconi Univ.)
That wraps up our extensive overview of Discrete Optimization Lecture 18 Maxcut Approximation Algorithm Via Sdp.
