THINK++ — Engineering Visualized

📖 LESSON

Hashing Basics

Hashing is a technique used to uniquely identify objects or store data in a way that allows for near-instant (O(1)) retrieval.

Hash Function

Maps input data of arbitrary size to a fixed-size value.

Collision

When two different inputs produce the same hash value.

Load Factor

Measure of how full the hash table is (n/m).

Buckets

The storage slots in a hash table.

Hashing Basics

Simulation Lab v2.0

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💡 Time Complexity

Average case for search, insert, and delete is **O(1)**. However, in the absolute worst case (many collisions), it can become **O(N)**. Good hash functions are key!

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