What are the performance issues with immutable data structures?
Immutable data structures can lead to performance overhead due to frequent copying and memory allocation.
Can you explain why copying is a problem?
Copying can be expensive in terms of time and memory, especially for large data structures, impacting overall performance.
Are there any strategies to mitigate these issues?
Yes, techniques like structural sharing and using lazy evaluation can help reduce the performance impact.
What are some examples of immutable data structures?
Common examples include persistent lists, trees, and maps, often used in functional programming languages.
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