How do different data structures compare in terms of performance?
Data structures like arrays, linked lists, trees, and hash tables have different performance characteristics. For example, arrays allow O(1) access time but O(n) for insertions, while linked lists allow O(1) insertions but O(n) access time.
What about searching performance in these structures?
Searching performance varies: arrays allow O(n) search time, linked lists also O(n), but binary search trees can achieve O(log n) if balanced, and hash tables can provide O(1) average time complexity.
Which data structure is best for implementing a priority queue?
A binary heap is often the best choice for a priority queue, as it allows for O(log n) insertion and O(1) access to the highest priority element.
Can you explain the trade-offs between using a linked list and an array?
Sure! Arrays provide fast access but have fixed size, while linked lists are dynamic but have slower access times due to traversal.
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