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The matlab源程序 uses a dynamic programming approach to determine the shortest path. Dynamic programming is a technique that involves breaking down a larger problem into smaller subproblems and solving each of them. In the case of finding the shortest path, the program considers all possible paths and evaluates which one is the most optimal. This process can be time-consuming, especially when dealing with large datasets, but it can yield highly accurate results. Additionally, the program could be further optimized by implementing parallel computing techniques, which would allow for faster processing of the data.