Hash Table vs Binary Search Tree in C++11
An example of an AI chatbot conversation about hash tables and binary search trees in C++11.
What are the main differences between hash tables and binary search trees in C++11?
Hash tables provide average O(1) time complexity for lookups, while binary search trees offer O(log n) for balanced trees.
When should I use a hash table instead of a binary search tree?
Use a hash table when you need fast access and don't require order. Use a BST when you need sorted data.
Can you give me an example of how to implement both in C++11?
Sure! For a hash table, you can use std::unordered_map, and for a BST, you can create a custom class with nodes.
What are the memory usage differences between them?
Hash tables can use more memory due to their underlying array and potential resizing, while BSTs use memory proportional to the number of nodes.
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