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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. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    Animated example of a depth-first search For the following graph: a depth-first search starting at the node A, assuming that the left edges in the shown graph are chosen before right edges, and assuming the search remembers previously visited nodes and will not repeat them (since this is a small graph), will visit the nodes in the following ...

  5. Fringe search - Wikipedia

    en.wikipedia.org/wiki/Fringe_search

    In essence, fringe search is a middle ground between A* and the iterative deepening A* variant (IDA*). If g(x) is the cost of the search path from the first node to the current, and h(x) is the heuristic estimate of the cost from the current node to the goal, then ƒ(x) = g(x) + h(x), and h* is the actual path cost to the goal.

  6. MTD(f) - Wikipedia

    en.wikipedia.org/wiki/MTD(f)

    MTD(f) is an alpha-beta game tree search algorithm modified to use ‘zero-window’ initial search bounds, and memory (usually a transposition table) to reuse intermediate search results. MTD(f) is a shortened form of MTD(n,f) which stands for Memory-enhanced Test Driver with node ‘n’ and value ‘f’. [ 1 ]

  7. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    An example of an A* algorithm in action where nodes are cities connected with roads and h(x) is the straight-line distance to the target point: Key: green: start; blue: goal; orange: visited The A* algorithm has real-world applications.

  8. Simone Biles Says It Would Be 'Greedy' to Return to the ... - AOL

    www.aol.com/lifestyle/simone-biles-says-greedy...

    Just after winning a gold medal in the individual vault final in Paris on Aug. 3, Biles spoke during a press conference about the future of her signature vault. "This is my last, definitely ...

  9. Model checking - Wikipedia

    en.wikipedia.org/wiki/Model_checking

    The process can be repeated with larger and larger values of until all possible violations have been ruled out (cf. Iterative deepening depth-first search). Abstraction attempts to prove properties of a system by first simplifying it. The simplified system usually does not satisfy exactly the same properties as the original one so that a ...