Can you explain what the Traveling Salesman Problem is?
The Traveling Salesman Problem (TSP) is a classic optimization problem where a salesman must visit a set of cities and return to the origin city, minimizing the total travel distance.
Why is it considered a difficult problem to solve?
TSP is NP-hard, meaning that as the number of cities increases, the number of possible routes grows factorially, making it computationally challenging to find the optimal solution.
Are there any practical applications of TSP?
Yes, TSP has applications in logistics, planning, and even DNA sequencing, where optimizing routes or sequences is crucial.
How do algorithms solve the Traveling Salesman Problem?
Algorithms like brute force, dynamic programming, and approximation algorithms are used to find optimal or near-optimal solutions to TSP.
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