How do different data structures affect performance in algorithms?

How do different data structures affect performance in algorithms?

Different data structures can significantly impact the efficiency of algorithms. For example, using a hash table can provide average O(1) time complexity for lookups, while a linked list may take O(n). What specific data structures are you interested in?

I'm particularly interested in arrays and linked lists.

Arrays offer fast access times due to their contiguous memory allocation, making them ideal for indexed access. Linked lists, on the other hand, allow for efficient insertions and deletions but have slower access times since they require traversal. Do you want to know more about their use cases?

Yes, what are some common use cases for each?

Arrays are commonly used in scenarios where quick access to elements is needed, like in sorting algorithms. Linked lists are often used in applications where frequent insertions and deletions occur, such as in implementing stacks and queues.