Reference Summary: QSEC's quantum computing subgroup will organize and host a seminar series throughout the upcoming semester. Samuel Hopkins (UC Berkeley); Tselil Schramm (Stanford); Luca Trevisan (Bocconi Univ.)

Subexponential Lps Approximate Max Cut -

QSEC's quantum computing subgroup will organize and host a seminar series throughout the upcoming semester. Samuel Hopkins (UC Berkeley); Tselil Schramm (Stanford); Luca Trevisan (Bocconi Univ.) Watson Research Center Information Theory in Complexity Theory and Combinatorics ...

Important details found

  • QSEC's quantum computing subgroup will organize and host a seminar series throughout the upcoming semester.
  • Samuel Hopkins (UC Berkeley); Tselil Schramm (Stanford); Luca Trevisan (Bocconi Univ.)
  • Watson Research Center Information Theory in Complexity Theory and Combinatorics ...
  • Contributions to adding an application of semi-definite optimization to the

Why this topic is useful

This topic is useful when readers need a quick overview first, then want to move into supporting details and related references.

Sponsored

Frequently Asked Questions

Why are related topics included?

Related topics help readers compare nearby references and understand the broader subject.

What is this page about?

This page summarizes Subexponential Lps Approximate Max Cut and connects it with related entries, references, and supporting context.

Is the information always complete?

Not always. Some topics may need verification from official or primary sources.

Related Images

Subexponential LPs Approximate Max-Cut
Approximating Max Cut with Subexponential Linear Programs - Tselil Schramm
Goemans-Williamson Max-Cut Algorithm | The Practical Guide to Semidefinite Programming (4/4)
Max Cut with Linear Programs: Sherali-Adams Strikes Back
Sublinear time algorithms for better than 1/2 approximation algorithms for max-cut on expanders
An Optimal Space Lower Bound for Approximating MAX-CUT
Algorithmic Approaches to the MAX-CUT Problem - QSEC QC Seminar Series
Streaming Lower Bounds for Approximating MAX-CUT
JuMPTutotials: Maxcut and semi-definite optimization
21.Classical optimization: MaxCut problem
Sponsored
View Full Details
Subexponential LPs Approximate Max-Cut

Subexponential LPs Approximate Max-Cut

Samuel Hopkins (UC Berkeley); Tselil Schramm (Stanford); Luca Trevisan (Bocconi Univ.)

Approximating Max Cut with Subexponential Linear Programs - Tselil Schramm

Approximating Max Cut with Subexponential Linear Programs - Tselil Schramm

Read more details and related context about Approximating Max Cut with Subexponential Linear Programs - Tselil Schramm.

Goemans-Williamson Max-Cut Algorithm | The Practical Guide to Semidefinite Programming (4/4)

Goemans-Williamson Max-Cut Algorithm | The Practical Guide to Semidefinite Programming (4/4)

Fourth and last video of the Semidefinite Programming series. In this video, we will go over Goemans and Williamson's algorithm ...

Max Cut with Linear Programs: Sherali-Adams Strikes Back

Max Cut with Linear Programs: Sherali-Adams Strikes Back

Read more details and related context about Max Cut with Linear Programs: Sherali-Adams Strikes Back.

Sublinear time algorithms for better than 1/2 approximation algorithms for max-cut on expanders

Sublinear time algorithms for better than 1/2 approximation algorithms for max-cut on expanders

Read more details and related context about Sublinear time algorithms for better than 1/2 approximation algorithms for max-cut on expanders.

An Optimal Space Lower Bound for Approximating MAX-CUT

An Optimal Space Lower Bound for Approximating MAX-CUT

Michael Kapralov (Ecole Polytechnique Federale de Lausanne) ...

Algorithmic Approaches to the MAX-CUT Problem - QSEC QC Seminar Series

Algorithmic Approaches to the MAX-CUT Problem - QSEC QC Seminar Series

QSEC's quantum computing subgroup will organize and host a seminar series throughout the upcoming semester. These events ...

Streaming Lower Bounds for Approximating MAX-CUT

Streaming Lower Bounds for Approximating MAX-CUT

Michael Kapralov, IBM T.J. Watson Research Center Information Theory in Complexity Theory and Combinatorics ...

JuMPTutotials: Maxcut and semi-definite optimization

JuMPTutotials: Maxcut and semi-definite optimization

Contributions to adding an application of semi-definite optimization to the

21.Classical optimization: MaxCut problem

21.Classical optimization: MaxCut problem

Read more details and related context about 21.Classical optimization: MaxCut problem.