Suppose a salesperson is planning a sales trip that includes n cities. Each city is connected to some of the other cities by a road. To minimize travel time, the salesperson wants to determine the shortest route that starts at the salesperson’s home city, visits each of the cities once, and ends up at the home city. This problem of finding the shortest route is called the Travelling Salesperson Problem (TSP) and is a well-known problem that can be solved using Dynamic Programming. Research about the TSP problem and find an algorithm based on Dynamic Programming for that. Explain the approach, the algorithm, and its time complexity. Use an example to explain the way the algorithm operates

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Suppose a salesperson is planning a sales trip that includes n cities. Each city is
connected to some of the other cities by a road. To minimize travel time, the
salesperson wants to determine the shortest route that starts at the salesperson’s
home city, visits each of the cities once, and ends up at the home city.
This problem of finding the shortest route is called the Travelling Salesperson Problem
(TSP) and is a well-known problem that can be solved using Dynamic Programming.
Research about the TSP problem and find an algorithm based on Dynamic
Programming for that. Explain the approach, the algorithm, and its time complexity.
Use an example to explain the way the algorithm operates
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