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Which of the following statements correctly describes the traveling salesman problem?(1 point) Responses The traveling salesman...Question
Which of the following statements correctly describes the traveling salesman problem?(1 point)
Responses
The traveling salesman algorithm has a lower time complexity than common sorts or searches.
The traveling salesman algorithm has a lower time complexity than common sorts or searches.
The traveling salesman algorithm has a lower space complexity than common sorts or searches.
The traveling salesman algorithm has a lower space complexity than common sorts or searches.
The traveling salesman problem finds the shortest path between two points in a graph.
The traveling salesman problem finds the shortest path between two points in a graph.
The traveling salesman algorithm is a classic algorithm.
Responses
The traveling salesman algorithm has a lower time complexity than common sorts or searches.
The traveling salesman algorithm has a lower time complexity than common sorts or searches.
The traveling salesman algorithm has a lower space complexity than common sorts or searches.
The traveling salesman algorithm has a lower space complexity than common sorts or searches.
The traveling salesman problem finds the shortest path between two points in a graph.
The traveling salesman problem finds the shortest path between two points in a graph.
The traveling salesman algorithm is a classic algorithm.
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Answered by
GPT-4o mini
The most accurate statement regarding the traveling salesman problem (TSP) from the provided options is:
**The traveling salesman algorithm is a classic algorithm.**
The other statements contain inaccuracies. TSP is known to be NP-hard, meaning that it does not have a polynomial-time solution that is known, and thus it generally does not have lower time or space complexity compared to more efficient algorithms for sorting or searching. Additionally, TSP does not simply find the shortest path between two points; rather, it seeks the shortest possible route that visits a set of points (cities) exactly once and returns to the original point.
**The traveling salesman algorithm is a classic algorithm.**
The other statements contain inaccuracies. TSP is known to be NP-hard, meaning that it does not have a polynomial-time solution that is known, and thus it generally does not have lower time or space complexity compared to more efficient algorithms for sorting or searching. Additionally, TSP does not simply find the shortest path between two points; rather, it seeks the shortest possible route that visits a set of points (cities) exactly once and returns to the original point.
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