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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 ...
In C++ it is part of the Standard Library since C++17 and Boost provides the generic Boyer–Moore search implementation under the Algorithm library. In Go (programming language) there is an implementation in search.go. D (programming language) uses a BoyerMooreFinder for predicate based matching within ranges as a part of the Phobos Runtime ...
RankBrain is a machine learning-based search engine algorithm, the use of which was confirmed by Google on 26 October 2015. [1] It helps Google to process search results and provide more relevant search results for users. [2]
Another example of heuristic making an algorithm faster occurs in certain search problems. Initially, the heuristic tries every possibility at each step, like the full-space search algorithm. But it can stop the search at any time if the current possibility is already worse than the best solution already found.
Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.
Profiling [31] via instrumentation in order to monitor certain parts of a program as it is executed. Obtaining an abstract syntax tree associated with the program, which can be automatically examined to gain insights into its structure. Applications of program slicing relevant to SBSE include software maintenance, optimization and program analysis.
[citation needed] An example of a decrease and conquer algorithm is the binary search algorithm. Search and enumeration Many problems (such as playing chess) can be modelled as problems on graphs. A graph exploration algorithm specifies rules for moving around a graph and is useful for such problems. This category also includes search ...
A specialized kind of trie called a compressed trie, is used in web search engines for storing the indexes - a collection of all searchable words. [31] Each terminal node is associated with a list of URLs —called occurrence list—to pages that match the keyword.