midHash Tables
Universal Hashing
Updated Apr 28, 2026
Short answer
Choosing a hash function randomly from a family of functions to minimize the chance of worst-case behavior.
Deep explanation
Intermediate hash table mechanics focus on optimization and collision management. Choosing a hash function randomly from a family of functions to minimize the chance of worst-case behavior.
Real-world example
Database indexing for unique identifiers.
Common mistakes
- Forgetting that resizing requires re-calculating the hash for every existing item.
Follow-up questions
- Why is table size usually a prime number?