DNA computing and NP-completeness

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

Difference between DNA computing and NP-completeness

DNA computing vs. NP-completeness

DNA computing is a branch of computing which uses DNA, biochemistry, and molecular biology hardware, instead of the traditional silicon-based computer technologies. In computational complexity theory, an NP-complete decision problem is one belonging to both the NP and the NP-hard complexity classes.

Similarities between DNA computing and NP-completeness

DNA computing and NP-completeness have 5 things in common (in Unionpedia): Boolean satisfiability problem, Hamiltonian path problem, NP-hardness, Travelling salesman problem, Turing machine.

Boolean satisfiability problem

In computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated as SATISFIABILITY or SAT) is the problem of determining if there exists an interpretation that satisfies a given Boolean formula.

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Hamiltonian path problem

In the mathematical field of graph theory the Hamiltonian path problem and the Hamiltonian cycle problem are problems of determining whether a Hamiltonian path (a path in an undirected or directed graph that visits each vertex exactly once) or a Hamiltonian cycle exists in a given graph (whether directed or undirected).

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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".

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Travelling salesman problem

The travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city and returns to the origin city?" It is an NP-hard problem in combinatorial optimization, important in operations research and theoretical computer science.

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Turing machine

A Turing machine is a mathematical model of computation that defines an abstract machine, which manipulates symbols on a strip of tape according to a table of rules.

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The list above answers the following questions

What DNA computing and NP-completeness have in common
What are the similarities between DNA computing and NP-completeness

DNA computing and NP-completeness Comparison

DNA computing has 84 relations, while NP-completeness has 107. As they have in common 5, the Jaccard index is 2.62% = 5 / (84 + 107).

References

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

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