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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. 15 puzzle - Wikipedia

    en.wikipedia.org/wiki/15_puzzle

    Named after the number of tiles in the frame, the 15 puzzle may also be called a "16 puzzle", alluding to its total tile capacity. Similar names are used for different sized variants of the 15 puzzle, such as the 8 puzzle, which has 8 tiles in a 3×3 frame. The n puzzle is a classical problem for modeling algorithms involving heuristics.

  4. Jigsaw puzzle accessories - Wikipedia

    en.wikipedia.org/wiki/Jigsaw_puzzle_accessories

    Construction trays are the most basic of all jigsaw puzzle accessories and they come in many different materials. Sizes required for different piece counts are as follows: 500 pieces: 520 mm x 395 mm (20.4" x 15.5") 1000 pieces: Approximately 750 mm x 520 mm (29.5" x 20.4") 1500 pieces: Approximately 915 mm x 660 mm (36.0" x 26.0")

  5. 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.

  6. Principal variation search - Wikipedia

    en.wikipedia.org/wiki/Principal_variation_search

    In iterative deepening search, the previous iteration has already established a candidate for such a sequence, which is also commonly called the principal variation. For any non-leaf in this principal variation, its children are reordered such that the next node from this principal variation is the first child.

  7. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    // This is usually implemented as a min-heap or priority queue rather than a hash-set. openSet:= {start} // For node n, cameFrom[n] is the node immediately preceding it on the cheapest path from the start // to n currently known. cameFrom:= an empty map // For node n, gScore[n] is the currently known cost of the cheapest path from start to n ...

  8. Jerry Slocum - Wikipedia

    en.wikipedia.org/wiki/Jerry_Slocum

    The 15 Puzzle, with Dic Sonneveld, 2006 ISBN 1-890980-15-3 Slocum Puzzle Foundation. The Cube: The Ultimate Guide to the World's Bestselling Puzzle , with David Singmaster , Wei-Hwa Huang , Dieter Gebhardt, Geert Hellings, and an introduction by Ernő Rubik , 2006 ISBN 978-1-57912-805-0 , Black Dog & Leventhal Publishers, Inc. Covers the ...

  9. 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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