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  2. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Search algorithm. In computer science, a search algorithm is an algorithm designed to solve a search problem. Search algorithms work to retrieve information stored within particular data structure, or calculated in the search space of a problem domain, with either discrete or continuous values . Although search engines use search algorithms ...

  3. Binary search algorithm - Wikipedia

    en.wikipedia.org/wiki/Binary_search_algorithm

    Binary search runs in logarithmic time in the worst case, making comparisons, where is the number of elements in the array. [a] [6] Binary search is faster than linear search except for small arrays. However, the array must be sorted first to be able to apply binary search. There are specialized data structures designed for fast searching, such as hash tables, that can be searched more ...

  4. Exponential search - Wikipedia

    en.wikipedia.org/wiki/Exponential_search

    Exponential search can also be used to search in bounded lists. Exponential search can even out-perform more traditional searches for bounded lists, such as binary search, when the element being searched for is near the beginning of the array. This is because exponential search will run in O (log i) time, where i is the index of the element being searched for in the list, whereas binary search ...

  5. Fibonacci search technique - Wikipedia

    en.wikipedia.org/wiki/Fibonacci_search_technique

    In computer science, the Fibonacci search technique is a method of searching a sorted array using a divide and conquer algorithm that narrows down possible locations with the aid of Fibonacci numbers. [1] Compared to binary search where the sorted array is divided into two equal-sized parts, one of which is examined further, Fibonacci search ...

  6. Breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Breadth-first_search

    Breadth-first search ( BFS) is an algorithm for searching a tree data structure for a node that satisfies a given property. It starts at the tree root and explores all nodes at the present depth prior to moving on to the nodes at the next depth level. Extra memory, usually a queue, is needed to keep track of the child nodes that were ...

  7. Knuth–Morris–Pratt algorithm - Wikipedia

    en.wikipedia.org/wiki/Knuth–Morris–Pratt...

    In computer science, the Knuth–Morris–Pratt algorithm (or KMP algorithm) is a string-searching algorithm that searches for occurrences of a "word" W within a main "text string" S by employing the observation that when a mismatch occurs, the word itself embodies sufficient information to determine where the next match could begin, thus ...

  8. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    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. Such traversals are classified by the order in which the nodes are visited.

  9. Local search (optimization) - Wikipedia

    en.wikipedia.org/wiki/Local_search_(optimization)

    Local search (optimization) In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution maximizing a criterion among a number of candidate solutions. Local search algorithms move from solution to solution in the ...