What are the strategies for resizing hash tables in C++?

What are the strategies for resizing hash tables in C++?

In C++, common strategies for resizing hash tables include doubling the size, using a load factor threshold, and rehashing.

Can you explain the load factor and its importance?

The load factor is the ratio of the number of elements to the table size. It helps determine when to resize to maintain efficiency.

What happens if the load factor is too high?

If the load factor is too high, it can lead to increased collisions, slower performance, and inefficient data retrieval.

How do I implement resizing in my hash table?

To implement resizing, you can create a new larger array, rehash existing elements, and update the table size accordingly.

Are there any trade-offs to consider when resizing?

Yes, resizing can be costly in terms of time complexity, as it requires rehashing all elements, which can impact performance.