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  2. Iterative deepening A* - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_A*

    Iterative deepening A* (IDA*) is a graph traversal and path search algorithm that can find the shortest path between a designated start node and any member of a set of goal nodes in a weighted graph. It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the ...

  3. Iterative deepening depth-first search - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_depth...

    Iterative deepening prevents this loop and will reach the following nodes on the following depths, assuming it proceeds left-to-right as above: 0: A; 1: A, B, C, E (Iterative deepening has now seen C, when a conventional depth-first search did not.) 2: A, B, D, F, C, G, E, F (It still sees C, but that it came later.

  4. Optimal solutions for the Rubik's Cube - Wikipedia

    en.wikipedia.org/wiki/Optimal_solutions_for_the...

    The searches in and were both done with a method equivalent to iterative deepening A* (IDA*). The search in G 1 ∖ G 0 {\displaystyle G_{1}\setminus G_{0}} needs at most 12 moves and the search in G 1 {\displaystyle G_{1}} at most 18 moves, as Michael Reid showed in 1995.

  5. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    If h a (n) is an admissible heuristic function, in the weighted version of the A* search one uses h w (n) = ε h a (n), ε > 1 as the heuristic function, and perform the A* search as usual (which eventually happens faster than using h a since fewer nodes are expanded).

  6. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    For general graphs, replacing the stack of the iterative depth-first search implementation with a queue would also produce a breadth-first search algorithm, although a somewhat nonstandard one. [7] Another possible implementation of iterative depth-first search uses a stack of iterators of the list of neighbors of a node, instead of a stack of ...

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    mail.aol.com/?rp=webmail-std/en-us/basic

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  8. Fringe search - Wikipedia

    en.wikipedia.org/wiki/Fringe_search

    One list now, stores the current iteration, and the other list later stores the immediate next iteration. So from the root node of the search tree, now will be the root and later will be empty. Then the algorithm takes one of two actions: If ƒ (head) is greater than the current threshold, remove head from now and append it to the end of later ...

  9. Helen H. Hobbs, M.D. - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/helen-h-hobbs-m-d

    From December 2011 to December 2012, if you bought shares in companies when Helen H. Hobbs, M.D. joined the board, and sold them when she left, you would have a 23.0 percent return on your investment, compared to a 15.3 percent return from the S&P 500.