What are the performance benchmarks for different data structures?
Performance benchmarks vary by data structure. For example, arrays have O(1) access time, while linked lists have O(n).
Can you explain the time complexity of hash tables?
Hash tables generally offer O(1) average time complexity for insertions, deletions, and lookups, but can degrade to O(n) in worst cases.
How do trees compare to arrays in terms of performance?
Trees, especially balanced ones like AVL or Red-Black trees, provide O(log n) search time, while arrays offer O(n) for unsorted data.
What about the space complexity of these data structures?
Arrays have a space complexity of O(n), while linked lists require O(n) as well, but with additional overhead for pointers.
Are there any benchmarks for real-world applications?
Yes, benchmarks often show that hash tables excel in scenarios requiring fast lookups, while trees are preferred for sorted data operations.
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