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Everything about Maximum cut

Problem in graph theory

In a graph, a maximum cut is a cut whose size is at least the size of any other cut. That is, it is a partition of the graph's vertices into two complementary sets S and T, such that the number of edges between S and T is as large as possible. Finding such a cut is known as the max-cut problem. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Maximum cutA 5-minute orientation
  2. Skim a recent paper: Arbitrarily High-Order Maximum Bound Preserving Schemes with Cut-off Postprocessing for Allen–Cahn EquationsInfluential work since 2022
  3. Pick up a classic book: Data structures and algorithm analysis in CThe most-reprinted book on the subject
  4. Read the landmark paper: Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programmingCited 2,528 times
  5. Go sideways: Feedback arc setA closely related topic
  6. Go sideways: PlanarizationA closely related topic

📖 Definitions

Noun A cut whose size is at least the size of any other cut; a partition of the graph's vertices into two complementary sets S and T, such that the number of edges between S and T is as large as possible.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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