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NP-completeness and Schönhardt polyhedron

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between NP-completeness and Schönhardt polyhedron

NP-completeness vs. Schönhardt polyhedron

In computational complexity theory, an NP-complete decision problem is one belonging to both the NP and the NP-hard complexity classes. In geometry, the Schönhardt polyhedron is the simplest non-convex polyhedron that cannot be triangulated into tetrahedra without adding new vertices.

Similarities between NP-completeness and Schönhardt polyhedron

NP-completeness and Schönhardt polyhedron have 0 things in common (in Unionpedia).

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NP-completeness and Schönhardt polyhedron Comparison

NP-completeness has 107 relations, while Schönhardt polyhedron has 25. As they have in common 0, the Jaccard index is 0.00% = 0 / (107 + 25).

References

This article shows the relationship between NP-completeness and Schönhardt polyhedron. To access each article from which the information was extracted, please visit:

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