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Best first search, using pre-sorted iterators

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It finds the minimum cost path on a graph, where the cost of a path is linear sum of each edge's weight in it. To call the function, the followings are required:

  • termination condition
  • neighbor iterator; pre sorting the iterator helps the performance so that it iterates through each neighbor in ascending order of cost.
  • cost addition function; in case you want to inject relaxation

For usage, take a look at best_first_search.example.

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