search algorithms
Data location techniques
Search algorithms are systematic procedures for locating specific items within a data structure or finding solutions in a problem space.
In computing, they range from simple linear searches that check each element sequentially to sophisticated methods like binary search, which repeatedly halves the search space.
Web search engines use complex algorithms combining keyword matching, link analysis, and machine learning to rank results: Google's search algorithm considers hundreds of factors.
In artificial intelligence, search algorithms explore possible states to find optimal paths or solutions.
- backtrackingReversing to find alternatives
- divide and conquerOvercome by fragmenting opposition
- indexingSystematic organization for retrieval
- hash tableKeyed lookup structure
- random walkChance-governed sequential movement
optimization · recursion · hill climbing · A star · heuristics · query · nearest neighbor · tree · graph · pathfinding · crawl · node · lookup · match · binary · sort · maze · ranking
- applied mathlinear programming, differential equations, statistical methods, probability, statistics
- algorithmsalgorithms, DFS, A star, recursion, recursive
- search technologyindexing, queries, ranking, relevance, keywords
- Language Technologynatural language processing, NLP, machine translation, speech recognition, text-to-speech
- Algorithm Analysisruntime, running time, growth rate, complexity, linear
- artificial lifeself-replication, emergence, genotype, phenotype, mutation
search algorithmsrandom selection
Choosing without systematic bias
random access · random sampling · brute force · trial and error