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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.
Applications & Art
Explore the main themes, entities and connections around Maximum cut. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
problem cut edges graph maximum graphs displaystyle max-cut number algorithm least bound known one weighted partition size two possible lower
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Maximum cut | is a | cut whose size is at least the size of any other cut | 0.90 | text |
| Maximum cut | related to Computational complexity | The | 0.60 | section |
| Maximum cut | related to Computational complexity | This | 0.60 | section |
| Maximum cut | related to Computational complexity | NP-complete | 0.60 | section |
| Maximum cut | related to Computational complexity | It | 0.60 | section |
| Maximum cut | related to Computational complexity | NP | 0.60 | section |
| Maximum cut | related to Computational complexity | The NP-completeness | 0.60 | section |
| Maximum cut | related to Computational complexity | Karp's | 0.60 | section |
| Maximum cut | related to Computational complexity | Karp | 0.60 | section |
| Maximum cut | related to Computational complexity | NP-completeness | 0.60 | section |
| Maximum cut | related to External links | Pierluigi Crescenzi | 0.60 | section |
| Maximum cut | related to External links | Viggo Kann | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.