hashmapbased
A hashmap-based data structure is a fundamental concept in computer science used to implement hash tables, which provide efficient storage and retrieval of key-value pairs. At its core, a hashmap relies on a hash function to compute an index into an array of buckets, where each bucket can hold one or more key-value pairs. This design allows for average-case constant time complexity (O(1)) for insertions, deletions, and lookups, making it highly efficient for many applications.
The hash function distributes keys uniformly across the buckets to minimize collisions, where two different keys
Hashmap-based implementations are widely used in programming languages and libraries, often as part of built-in data
Despite their efficiency, hashmaps have trade-offs. Memory overhead can be higher due to bucket storage and