What are the performance issues with immutable data structures?
An example of an AI chatbot conversation about performance issues in immutable data structures.
What are the performance issues with immutable data structures?
Immutable data structures can lead to performance overhead due to the need for copying data instead of modifying it in place.
Can you explain how this copying affects memory usage?
Sure! Copying data can increase memory usage significantly, especially with large data sets, as each modification creates a new version.
Are there any strategies to mitigate these performance issues?
Yes, techniques like structural sharing and using persistent data structures can help reduce the overhead of copying.
What are persistent data structures?
Persistent data structures are designed to preserve previous versions of the data structure, allowing efficient access to them without full copies.
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