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  2. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    it delays checking whether a vertex has been discovered until the vertex is popped from the stack rather than making this check before adding the vertex. 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 ...

  3. Graph traversal algorithms - 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.

  4. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    In computer science, tree traversal (also known as tree search and walking the tree) is a form of graph traversal and refers to the process of visiting (e.g. retrieving, updating, or deleting) each node in a tree data structure, exactly once.

  5. Iterative deepening depth-first search - Wikipedia

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

    In computer science, iterative deepening search or more specifically iterative deepening depth-first search [1] (IDS or IDDFS) is a state space/graph search strategy in which a depth-limited version of depth-first search is run repeatedly with increasing depth limits until the goal is found.

  6. Path-based strong component algorithm - Wikipedia

    en.wikipedia.org/wiki/Path-based_strong...

    The algorithm performs a depth-first search of the given graph G, maintaining as it does two stacks S and P (in addition to the normal call stack for a recursive function). Stack S contains all the vertices that have not yet been assigned to a strongly connected component, in the order in which the depth-first search reaches the vertices.

  7. Tarjan's strongly connected components algorithm - Wikipedia

    en.wikipedia.org/wiki/Tarjan's_strongly_connected...

    The algorithm pops the stack up to and including the current node, and presents all of these nodes as a strongly connected component. In Tarjan's paper, when w is on the stack, v.lowlink is updated with the assignment v.lowlink := min(v.lowlink, w.index). [1]: 157 A common variation is to instead use v.lowlink := min(v.lowlink, w.lowlink).

  8. 9 Items You Should Actually Store In The Freezer, According ...

    www.aol.com/9-items-actually-store-freezer...

    How long: Freeze for up to 6 months, then thaw overnight in the refrigerator before using, Gangeri suggests. Spirits “High-proof spirits are a fun item to keep in your freezer.

  9. Stack search - Wikipedia

    en.wikipedia.org/wiki/Stack_search

    Example applications of the stack search algorithm can be found in the literature: Frederick Jelinek. Fast sequential decoding algorithm using a stack. IBM Journal of Research and Development, pp. 675-685, 1969. Ye-Yi Wang and Alex Waibel. Decoding algorithm in statistical machine translation. Proceedings of the 8th conference on European ...