Search_algorithms

In computer science, A* (pronounced "Ay star") is a graph search algorithm that finds a path from a given initial node to a given goal node (or one passing a given goal test). It employs a "heuristic estimate" that ranks each node by an estimate of the best route that goes through that node. It visits the nodes in order of this heuristic estimate. The A* algorithm is therefore an example of best-first search.. ...more on Wikipedia about "A* search algorithm"

In computer science, a brute-force search consists of systematically enumerating every possible solution of a problem until a solution is found, or all possible solutions have been exhausted. For example, an anagram problem can be solved by enumerating all possible combinations of words with the same number of letters as the desired phrase, and checking one by one whether the words make a valid anagram. Generally, brute force refers to any method that does not involve a heuristic or rely on any intelligent observation, but tries every possible solution to find the best solution. Such an approach may be used as a benchmarking tool for better algorithms. ...more on Wikipedia about "Brute-force search"

Grover's algorithm is a quantum algorithm for searching an unsorted database with N entries in O(N1/2) time and using O(logN) storage space (see big O notation). It was invented by Lov Grover in 1996. ...more on Wikipedia about "Grover's algorithm"

In computer science, linear search is a search algorithm, also known as sequential search, that is suitable for searching a set of data for a particular value. ...more on Wikipedia about "Linear search"

String searching algorithms, sometimes called string matching algorithms, are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text. ...more on Wikipedia about "String searching algorithm"

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