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Hash Search [\(O(1)\)] [Adaptive]

Description

Uses a hash table to establish a key-value mapping between search data and target data, thus implementing the query operation.

Time complexity: \(O(1)\)

Info

Using this algorithm often requires data preprocessing. For example, requires the help of additional data structures. Maintaining these structures also requires more overhead in terms of time and space.

Use Cases

  • Suitable for scenarios where fast query performance is essential, with an average time complexity of \(O(1)\).
  • Not suitable for scenarios needing ordered data or range searches, because hash tables cannot maintain data orderliness.
  • High dependency on hash functions and hash collision handling strategies, with significant performance degradation risks.
  • Not suitable for overly large data volumes, because hash tables need extra space to minimize collisions and provide good query performance.