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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. Iterative deepening A* - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_A*

    It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the remaining cost to get to the goal from the A* search algorithm. Since it is a depth-first search algorithm, its memory usage is lower than in A*, but unlike ordinary iterative deepening search, it ...

  4. 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 ...

  5. Tarjan's strongly connected components algorithm - Wikipedia

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

    The basic idea of the algorithm is this: a depth-first search (DFS) begins from an arbitrary start node (and subsequent depth-first searches are conducted on any nodes that have not yet been found). As usual with depth-first search, the search visits every node of the graph exactly once, refusing to revisit any node that has already been visited.

  6. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...

  7. 2-satisfiability - Wikipedia

    en.wikipedia.org/wiki/2-satisfiability

    There are several efficient linear time algorithms for finding the strongly connected components of a graph, based on depth-first search: Tarjan's strongly connected components algorithm [7] and the path-based strong component algorithm [8] each perform a single depth-first search. Kosaraju's algorithm performs two depth-first searches, but is ...

  8. The Best Fast-Food Family Meal Deals to Feed a Crowd for Less

    www.aol.com/best-fast-food-family-meal-170000055...

    3. Domino's: $7 Mix and Match Deal. The best long-running meal deal at Domino's is the $7 Mix and Match. You need to order at least two items, but you can get as many as you want from choices such ...

  9. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    Dijkstra's algorithm, as another example of a uniform-cost search algorithm, can be viewed as a special case of A* where ⁠ = ⁠ for all x. [12] [13] General depth-first search can be implemented using A* by considering that there is a global counter C initialized with a very large value.