What are the best practices for using hash tables in C++?

What are the best practices for using hash tables in C++?

When using hash tables in C++, consider the following best practices: 1. Choose an appropriate hash function. 2. Handle collisions effectively, using methods like chaining or open addressing. 3. Keep load factors in check to maintain performance. 4. Use standard library implementations like std::unordered_map for efficiency.

Can you explain how to choose a good hash function?

A good hash function should distribute keys uniformly across the hash table to minimize collisions. It should be fast to compute and should produce a unique hash for different keys as much as possible. Common practices include using prime numbers and combining multiple attributes of the key.

What are the common collision resolution techniques?

Common collision resolution techniques include: 1. Chaining: storing multiple elements in the same bucket using a linked list. 2. Open addressing: finding another open slot in the array using methods like linear probing or quadratic probing.

How do I implement a hash table from scratch in C++?

To implement a hash table from scratch in C++, define a class with an array for storage, a hash function, and methods for inserting, deleting, and searching for elements. Ensure to handle collisions and resize the table when the load factor exceeds a certain threshold.