What are the best strategies for resizing hash tables?
An example of an AI chatbot conversation about hash table resizing strategies.
What are the best strategies for resizing hash tables?
There are several strategies for resizing hash tables, including doubling the size, using a load factor, and rehashing.
Can you explain the load factor and how it affects resizing?
The load factor is the ratio of the number of elements to the size of the hash table. A common threshold is 0.7; exceeding it triggers resizing.
What happens during the rehashing process?
During rehashing, all existing entries are recalculated and placed into the new, larger table based on their hash values.
Are there any downsides to resizing hash tables?
Yes, resizing can be costly in terms of time complexity, as it requires rehashing all existing entries, which can be O(n).
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