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NP-completeness and Tetris

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

Difference between NP-completeness and Tetris

NP-completeness vs. Tetris

In computational complexity theory, an NP-complete decision problem is one belonging to both the NP and the NP-hard complexity classes. Tetris (Тетрис) is a tile-matching puzzle video game, originally designed and programmed by Russian game designer Alexey Pajitnov.

Similarities between NP-completeness and Tetris

NP-completeness and Tetris have 3 things in common (in Unionpedia): Computational complexity theory, NP-hardness, Reduction (complexity).

Computational complexity theory

Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.

Computational complexity theory and NP-completeness · Computational complexity theory and Tetris · See more »

NP-hardness

NP-hardness (''n''on-deterministic ''p''olynomial-time hardness), in computational complexity theory, is the defining property of a class of problems that are, informally, "at least as hard as the hardest problems in NP".

NP-completeness and NP-hardness · NP-hardness and Tetris · See more »

Reduction (complexity)

In computability theory and computational complexity theory, a reduction is an algorithm for transforming one problem into another problem.

NP-completeness and Reduction (complexity) · Reduction (complexity) and Tetris · See more »

The list above answers the following questions

NP-completeness and Tetris Comparison

NP-completeness has 107 relations, while Tetris has 221. As they have in common 3, the Jaccard index is 0.91% = 3 / (107 + 221).

References

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

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