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Any algorithm which solves the search problem
In computer science, a search algorithm is an algorithm designed to solve a search problem. Search algorithms work to retrieve information stored within
Search_algorithm
Algorithm used for pathfinding and graph traversal
the algorithm in 1968. It can be seen as an extension of Dijkstra's algorithm. A* achieves better performance by using heuristics to guide its search. The
A*_search_algorithm
Algorithm for finding shortest paths
Dijkstra's algorithm (/ˈdaɪk.strəz/, DYKE-strəz) is an algorithm for finding the shortest paths between nodes in a weighted graph, which may represent
Dijkstra's_algorithm
Quantum search algorithm
quantum computing, Grover's algorithm, also known as the quantum search algorithm, is a quantum algorithm for unstructured search that finds with high probability
Grover's_algorithm
String searching algorithm
Boyer–Moore string-search algorithm is an efficient string-searching algorithm that is the standard benchmark for practical string-search literature. It was
Boyer–Moore string-search algorithm
Boyer–Moore_string-search_algorithm
Search algorithm used in sorted arrays
computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search algorithm that finds the position
Binary_search
Optimization problem in computer science
and usefulness of the algorithms are determined by the time complexity of queries as well as the space complexity of any search data structures that must
Nearest_neighbor_search
Algorithm to search the nodes of a graph
computer science, depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node
Depth-first_search
Algorithm to search the nodes of a graph
In computer science, breadth-first search (BFS) is an algorithm for searching a tree data structure for a node that satisfies a given property. It starts
Breadth-first_search
Algorithm for finding sub-text location(s) inside a given sentence in Big O(n) time
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
Knuth–Morris–Pratt_algorithm
Algorithm used by Google Search to rank web pages.
PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder
PageRank
the A* search algorithm Uniform-cost search: a tree search that finds the lowest-cost route where costs vary Cliques Bron–Kerbosch algorithm: a technique
List_of_algorithms
Searching for patterns in text
A string-searching algorithm, sometimes called string-matching algorithm, is an algorithm that searches a body of text for portions that match by pattern
String-searching_algorithm
Sequence of locally optimal choices
A greedy algorithm is an algorithm which, at each step, makes the choice that is locally optimal, and subsequently does not reconsider past choices. Greedy
Greedy_algorithm
Type of algorithm, produces approximately correct solutions
informed search algorithms and optimization techniques for AI: A* Search Algorithm The A* search algorithm is one of the most popular heuristic search techniques
Heuristic_(computer_science)
because it allows for a more extensive search for the optimal solution. The ant colony optimization algorithm is a probabilistic technique for solving
List of metaphor-based metaheuristics
List_of_metaphor-based_metaheuristics
Heuristic search algorithm for evaluating game trees
In computer science, Monte Carlo tree search (MCTS) is a heuristic tree search algorithm for some kinds of decision processes, most notably those employed
Monte_Carlo_tree_search
Sequentially looking in an array
element vary. Linear search is rarely practical because other search algorithms and schemes, such as the binary search algorithm and hash tables, allow
Linear_search
String searching algorithm
In computer science, the Rabin–Karp algorithm or Karp–Rabin algorithm is a string-searching algorithm created by Richard M. Karp and Michael O. Rabin (1987)
Rabin–Karp_algorithm
Method for problem solving in optimization
candidate solutions. Local search algorithms move from solution to solution in the space of candidate solutions (the search space) by applying local changes
Local_search_(optimization)
Search algorithm
pruning is a tree search algorithm that seeks to decrease the number of nodes that are evaluated by the minimax algorithm in its search tree. It is an adversarial
Alpha–beta_pruning
Sequence of operations for a task
In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ ) is any well-defined set of instructions that when followed terminates after a finite
Algorithm
Class of algorithms
tree traversal algorithms that classify as neither depth-first search nor breadth-first search. One such algorithm is Monte Carlo tree search, which concentrates
Tree_traversal
Competitive algorithm for searching a problem space
operations research. Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems via biologically inspired
Genetic_algorithm
Heuristic search algorithm
science, beam search is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set. Beam search is a modification
Beam_search
Search engine from Google
announced a broad core algorithm update. As per current analysis done by the industry leaders Search Engine Watch and Search Engine Land, the update
Google_Search
Automated methods for the creation of mazes
removed. This algorithm, also known as the "recursive backtracker" algorithm, is a randomized version of the depth-first search algorithm. Frequently implemented
Maze_generation_algorithm
Computer science algorithm
graph, performing the algorithm on each vertex that is still unvisited when examined. A depth-first search (DFS) is an algorithm for traversing a finite
Graph_traversal
artificial intelligence algorithms, including algorithms and algorithmic methods used in artificial intelligence (AI) for search, automated reasoning, knowledge
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Optimization algorithm
predominant paradigm used. Combinations of artificial ants and local search algorithms have become a preferred method for numerous optimization tasks involving
Ant colony optimization algorithms
Ant_colony_optimization_algorithms
Update - Changes To The Algorithm". Search Engine Journal. Retrieved 2023-10-20. "Google Search Status Dashboard". status.search.google.com. Retrieved 2023-10-20
Timeline_of_Google_Search
Algorithm for searching sorted, infinite lists
computer science, an exponential search (also called doubling search or galloping search or Struzik search) is an algorithm, created by Jon Bentley and Andrew
Exponential_search
Finds likely sequence of hidden states
The Viterbi algorithm is a dynamic programming algorithm that finds the most likely sequence of hidden events that would explain a sequence of observed
Viterbi_algorithm
Optimization by removing non-optimal solutions to subproblems
so far by the algorithm. The algorithm depends on efficient estimation of the lower and upper bounds of regions/branches of the search space. If no bounds
Branch_and_bound
Optimization algorithm
In operations research, cuckoo search is an optimization algorithm developed by Xin-She Yang and Suash Deb in 2009. It has been shown to be a special
Cuckoo_search
Population-based search algorithm
computer science and operations research, the bees algorithm is a population-based search algorithm which was developed by Pham, Ghanbarzadeh et al. in
Bees_algorithm
Reverse-search algorithms are a class of algorithms for generating all objects of a given size, from certain classes of combinatorial objects. In many
Reverse-search_algorithm
Problem-solving technique and algorithmic paradigm
brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique and algorithmic paradigm that
Brute-force_search
Algorithm that arranges lists in order
is important for optimizing the efficiency of other algorithms (such as search and merge algorithms) that require input data to be in sorted lists. Sorting
Sorting_algorithm
Type of search algorithm
science, the Davis–Putnam–Logemann–Loveland (DPLL) algorithm is a complete, backtracking-based search algorithm for deciding the satisfiability of propositional
DPLL_algorithm
February 2, 2014. "Google Algorithm Change History". SEOmoz. Retrieved February 1, 2014. Boswell, Wendy. "Snap - A New Kind of Search Engine". About.com. Archived
Timeline of web search engines
Timeline_of_web_search_engines
Overview of and topical guide to algorithms
Dijkstra's algorithm Bellman–Ford algorithm Floyd–Warshall algorithm Johnson's algorithm A* search algorithm Minimum spanning tree Kruskal's algorithm Prim's
Outline_of_algorithms
Algorithmic paradigm for constraint satisfaction or enumeration problems
backtracking algorithm traverses this search tree recursively, from the root down, in depth-first order. At each node c, the algorithm checks whether
Backtracking
Algorithm to be run on quantum computers
In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the
Quantum_algorithm
Technique for finding an extremum of a function
The algorithm is the limit of Fibonacci search (also described below) for many function evaluations. Fibonacci search and golden-section search were
Golden-section_search
Graph exploring search algorithm
In computer science, best-first search is a class of search algorithms which explores a graph by expanding the most promising node chosen according to
Best-first_search
generator Quantum algorithm Random-restart hill climbing Randomized algorithm Running time Sorting algorithm Search algorithm Stable algorithm (disambiguation)
List of algorithm general topics
List_of_algorithm_general_topics
Web search engine owned by Yandex
cache”). Ranking algorithm changed again. In 2008, Yandex for the first time began to openly announce changes in the search algorithm and started to name
Yandex_Search
2024 Google Search API documentation leak
search algorithm operates, particularly regarding the use of click data and Google Chrome browser data in search rankings. Google's search algorithm determines
2024 Google Search documentation leak
2024_Google_Search_documentation_leak
Search algorithm in computing
science, jump point search (JPS) is an optimization to the A* search algorithm for uniform-cost grids. It reduces symmetries in the search procedure by means
Jump_point_search
Computer hardware technology that uses quantum mechanics
to quantum computing. In 1996, Grover's algorithm established a quantum speedup for the unstructured search problem. The same year, Seth Lloyd proved
Quantum_computing
Average solution cost is the same with any method
candidate solutions for evaluation is called a search algorithm. On a particular problem, different search algorithms may obtain different results, but over all
No free lunch in search and optimization
No_free_lunch_in_search_and_optimization
Approximate nearest neighbor search algorithm
Hierarchical navigable small world (HNSW) is an algorithm for approximate nearest neighbor search. It is used to find items that are similar to a query
Hierarchical navigable small world
Hierarchical_navigable_small_world
Search algorithm
three related incremental search algorithms: The original D*, by Anthony Stentz, is an informed incremental search algorithm. Focused D* is an informed
D*
String search algorithm
simplification of the Boyer–Moore string-search algorithm which is related to the Knuth–Morris–Pratt algorithm. The algorithm trades space for time in order to
Boyer–Moore–Horspool algorithm
Boyer–Moore–Horspool_algorithm
Optimized search algorithm
Bidirectional search is a graph search algorithm that finds a shortest path from an initial vertex to a goal vertex in a directed graph. It runs two simultaneous
Bidirectional_search
Algorithmic selection of online media
Algorithm curation is the selection of online media by technologies such as recommender systems and personalized search. Curation entails the selective
Algorithmic_curation
Practice and strategies of increasing online visibility
"Backrub", a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank
Search_engine_optimization
Method for data management
supports data compression such as the BWT algorithm. Inverted index Stores a list of occurrences of each atomic search criterion, typically in the form of a
Search_engine_indexing
Study of resources used by an algorithm
needed by any algorithm which solves a given computational problem. These estimates provide an insight into reasonable directions of search for efficient
Analysis_of_algorithms
Search algorithm or heuristic method to solve constraint satisfaction problems
a min-conflicts algorithm is a search algorithm or heuristic method to solve constraint satisfaction problems. One such algorithm is min-conflicts hill-climbing
Min-conflicts_algorithm
Optimization algorithm
optimization technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then
Hill_climbing
Change to Google's search results ranking algorithm
is an algorithm used by the Google search engine, introduced in February 2011. The main goal of this algorithm is to improve the quality of search results
Google_Panda
Enhancement of Alpha–Beta game tree search
Principal variation search (sometimes equated with the practically identical NegaScout) is a negamax algorithm that can be faster than alpha–beta pruning
Principal_variation_search
Hybrid algorithms exploit the good properties of different methods by applying them to problems they can efficiently solve. For example, search is efficient
Hybrid algorithm (constraint satisfaction)
Hybrid_algorithm_(constraint_satisfaction)
Method of searching a sorted array
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
Fibonacci_search_technique
Computer science pathfinding concept
reaching the goal state in an informed search algorithm. In order for a heuristic to be admissible to the search problem, the estimated cost must always
Admissible_heuristic
Estimate of time taken for running an algorithm
takes to run an algorithm. Time complexity is commonly estimated by counting the number of elementary operations performed by the algorithm, supposing that
Time_complexity
Search algorithm parameter for phrase matching
slop amount) is a parameter in information retrieval and full-text search algorithms that defines the maximum number of positions words in a query are
Slop_(search_algorithms)
Process of finding the optimal set of variables for a machine learning algorithm
specified subset of the hyperparameter space of a learning algorithm. A grid search algorithm must be guided by some performance metric, typically measured
Hyperparameter_optimization
Parallel version of breadth-first search algorithm
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
Parallel_breadth-first_search
computer science and artificial intelligence, combinatorial search studies search algorithms for solving instances of problems that are believed to be hard
Combinatorial_search
Computer program for the Boolean satisfiability problem
divide-and-conquer algorithms divide the problem between the processors. Different approaches exist to parallelize local search algorithms. The International
SAT_solver
Intelligence in machines
generation. Distributed search processes can coordinate via swarm intelligence algorithms. Two popular swarm algorithms used in search are particle swarm optimisation
Artificial_intelligence
Abstract data type in computer science
priority queue is one method of doing this. Best-first search algorithms, like the A* search algorithm, find the shortest path between two vertices or nodes
Priority_queue
Method for finding kth smallest value
In computer science, a selection algorithm is an algorithm for finding the k {\displaystyle k} th smallest value in a collection of orderable values,
Selection_algorithm
Algorithms to complete a sudoku
backtracking algorithm, which is a type of brute force search. Backtracking is a depth-first search (in contrast to a breadth-first search), because it
Sudoku_solving_algorithms
Non-parametric classification method
In statistics and machine learning, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method that assigns weightage only
K-nearest_neighbors_algorithm
Commentz-Walter algorithm is a string searching algorithm invented by Beate Commentz-Walter. Like the Aho–Corasick string matching algorithm, it can search for multiple
Commentz-Walter_algorithm
Indian-American computer scientist (born 1961)
the Grover database search algorithm used in quantum computing. Grover's 1996 algorithm won renown as the second major algorithm proposed for quantum
Lov_Grover
Decision rule used for minimizing the possible loss for a worst-case scenario
them are guaranteed to give the same result as the unpruned search. A naïve minimax algorithm may be trivially modified to additionally return an entire
Minimax
System used in computer graphics applications
search window size. The algorithm can be described as follows, Start with search location at the center Select an initial step size say, S = 8 Search
Block-matching_algorithm
Local search algorithm
genetic algorithms, ant colony optimization algorithms, reactive search optimization, guided local search, or greedy randomized adaptive search. In addition
Tabu_search
Data compression technique
Pruning is a data compression technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the
Decision_tree_pruning
Uniform binary search is an optimization of the classic binary search algorithm. It was first published by Donald Knuth, in The Art of Computer Programming
Uniform_binary_search
Optimization technique
heuristic designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem
Metaheuristic
Automated method for solving mazes
maze-solving algorithm is an automated method for solving a maze. The random mouse, wall follower, Pledge, Tarry's, and Trémaux's algorithms are designed
Maze-solving_algorithm
String-searching algorithm
algorithm can be viewed as a combination of the forward-going Knuth–Morris–Pratt algorithm (KMP) and the backward-running Boyer–Moore string-search algorithm
Two-way string-matching algorithm
Two-way_string-matching_algorithm
Quantum algorithm for counting solutions to search problems
Quantum counting algorithm is a quantum algorithm for efficiently counting the number of solutions for a given search problem. The algorithm is based on the
Quantum_counting_algorithm
Local search algorithm
optimization, 2-opt is a simple local search algorithm for solving the traveling salesman problem. The 2-opt algorithm was first proposed by Croes in 1958
2-opt
Guided local search is a metaheuristic search method. A meta-heuristic method is a method that sits on top of a local search algorithm to change its behavior
Guided_local_search
Machine learning-based search engine algorithm
learning-based search engine algorithm, the use of which was confirmed by Google on 26 October 2015. It helps Google to process search results and provide
RankBrain
Search engine algorithm used by Google
Hummingbird is the codename given to a significant algorithm change in Google Search in 2013. Its name was derived from the speed and accuracy of the
Google_Hummingbird
Chronological table of metaheuristic algorithms
metaheuristic algorithms that only contains fundamental computational intelligence algorithms. Hybrid algorithms and multi-objective algorithms are not listed
Table_of_metaheuristics
Algorithm for finding the extrema of a unimodal function
A ternary search algorithm is a technique in computer science for finding the minimum or maximum of a unimodal function. Assume we are looking for a maximum
Ternary_search
Algorithm for solving a puzzle or game in the fewest possible moves
God's algorithm of the Rubik cube is a notion originating in discussions of ways to solve the Rubik's Cube puzzle, but which can also be applied to other
God's_algorithm
Game tree search algorithm
SSS* is a search algorithm introduced by George Stockman in 1979. It conducts a state space search traversing a game tree in a best-first fashion similar
SSS*
Plotting by a computer application
Dijkstra's algorithm A* search algorithm, a special case of the Dijkstra's algorithm D* a family of incremental heuristic search algorithms for problems
Pathfinding
Random search tree data structure
following basic operations: To search for a given key value, apply a standard binary search algorithm in a binary search tree, ignoring the priorities
Treap
Algorithm for searching a problem space
research, a memetic algorithm (MA) is an extension of an evolutionary algorithm (EA) that aims to accelerate the evolutionary search for the optimum. An
Memetic_algorithm
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SEARCH ALGORITHM
SEARCH ALGORITHM
SEARCH ALGORITHM
SEARCH ALGORITHM
SEARCH ALGORITHM
SEARCH ALGORITHM
SEARCH ALGORITHM
SEARCH ALGORITHM
SEARCH ALGORITHM
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