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  2. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    If G is a tree, replacing the queue of the breadth-first search algorithm with a stack will yield a depth-first search algorithm. 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]

  3. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    For example, given a binary tree of infinite depth, a depth-first search will go down one side (by convention the left side) of the tree, never visiting the rest, and indeed an in-order or post-order traversal will never visit any nodes, as it has not reached a leaf (and in fact never will). By contrast, a breadth-first (level-order) traversal ...

  4. Breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Breadth-first_search

    If G is a tree, replacing the queue of this breadth-first search algorithm with a stack will yield a depth-first search algorithm. 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. [10]

  5. Iterative deepening depth-first search - Wikipedia

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

    All together, an iterative deepening search from depth all the way down to depth expands only about % more nodes than a single breadth-first or depth-limited search to depth , when =. [ 4 ] The higher the branching factor, the lower the overhead of repeatedly expanded states, [ 1 ] : 6 but even when the branching factor is 2, iterative ...

  6. Spanning tree - Wikipedia

    en.wikipedia.org/wiki/Spanning_tree

    This tree is known as a depth-first search tree or a breadth-first search tree according to the graph exploration algorithm used to construct it. [18] Depth-first search trees are a special case of a class of spanning trees called Trémaux trees, named after the 19th-century discoverer of depth-first search. [19]

  7. Graph traversal - Wikipedia

    en.wikipedia.org/wiki/Graph_traversal

    A depth-first search (DFS) is an algorithm for traversing a finite graph. DFS visits the child vertices before visiting the sibling vertices; that is, it traverses the depth of any particular path before exploring its breadth. A stack (often the program's call stack via recursion) is generally used when implementing the algorithm.

  8. Big Data: A Problem of Breadth, Not Depth? - AOL

    www.aol.com/news/2013-05-29-big-data-a-problem...

    The Motley Fool talks with Qualtrics CEO Ryan Smith, one of Forbes' "Most Promising CEOs Under 35." Ryan's online data collection and analysis platform has enjoyed meteoric growth and success in ...

  9. Tree (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Tree_(abstract_data_type)

    This is the same as depth. Width The number of nodes in a level. Breadth The number of leaves. Forest A set of one or more disjoint trees. Ordered tree A rooted tree in which an ordering is specified for the children of each vertex. Size of a tree Number of nodes in the tree.