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  2. Parallel breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Parallel_breadth-first_search

    The breadth-first-search algorithm is a way to explore the vertices of a graph layer by layer. It is a basic algorithm in graph theory which can be used as a part of other graph algorithms. For instance, BFS is used by Dinic's algorithm to find maximum flow in a graph.

  3. 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]

  4. Burstsort - Wikipedia

    en.wikipedia.org/wiki/Burstsort

    And although asymptotically it is the same as radix sort, with time complexity of O(wn) (w – word length and n – number of strings to be sorted), but due to better memory distribution it tends to be twice as fast on big data sets of strings. It has been billed as the "fastest known algorithm to sort large sets of strings". [2]

  5. BFS - Wikipedia

    en.wikipedia.org/wiki/BFS

    Basic feasible solution, in linear programming; Be File System, the native file system for the Be Operating System; Best-first search, a path finding algorithm; Boot File System, a file system used on UnixWare to store files necessary to its boot process; Breadth-first search, a graph search algorithm

  6. List of algorithms - Wikipedia

    en.wikipedia.org/wiki/List_of_algorithms

    An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.

  7. Basic feasible solution - Wikipedia

    en.wikipedia.org/wiki/Basic_feasible_solution

    Since the number of BFS-s is finite and bounded by (), an optimal solution to any LP can be found in finite time by just evaluating the objective function in all () BFS-s. This is not the most efficient way to solve an LP; the simplex algorithm examines the BFS-s in a much more efficient way.

  8. C string handling - Wikipedia

    en.wikipedia.org/wiki/C_string_handling

    UTF-8 and Shift JIS are often used in C byte strings, while UTF-16 is often used in C wide strings when wchar_t is 16 bits. Truncating strings with variable-width characters using functions like strncpy can produce invalid sequences at the end of the string. This can be unsafe if the truncated parts are interpreted by code that assumes the ...

  9. Aho–Corasick algorithm - Wikipedia

    en.wikipedia.org/wiki/Aho–Corasick_algorithm

    In computer science, the Aho–Corasick algorithm is a string-searching algorithm invented by Alfred V. Aho and Margaret J. Corasick in 1975. [1] It is a kind of dictionary-matching algorithm that locates elements of a finite set of strings (the "dictionary") within an input text. It matches all strings simultaneously.

  1. Related searches write a c program to implement bfs algorithm for division of number of strings

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