10 docs tagged with "Hashing"

Bloom Filters are probabilistic data structures used in applications where space efficiency is crucial, and approximate answers are acceptable, like database caching and network filtering.

Overview

Deletion involves removing a key-value pair from the hash table using the key.

Hashing is a technique used to uniquely identify a specific object from a group of similar objects. It involves mapping large data to fixed-size values.

Hashing is an essential technique in data structures and algorithms used to optimize data retrieval, storage, and management through efficient key-value mapping.

Insertion involves adding a key-value pair to the hash table. If the key already exists, it may update the existing value.

Search involves retrieving the value associated with a given key in the hash table.

Update involves modifying the value associated with an existing key in the hash table.

A HashSet is a data structure used to store unique elements and provides efficient insertion, deletion, and search operations.

Hashing is a technique used to uniquely identify a specific object from a group of similar objects. Hash maps are data structures that implement this technique.