From the course: C# Hands-on Practice with Data-Structures

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Optimize performance for large-scale changes

Optimize performance for large-scale changes - C# Tutorial

From the course: C# Hands-on Practice with Data-Structures

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Optimize performance for large-scale changes

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When developing a text editor, handling large-scale changes efficiently is important for providing a responsive user experience. Bulk text editing and formatting can impact performance of the undo and redo operations due to the larger volume of data. Instead of saving full states, we could change our stacks to only store deltas or the differences between the text states. This can dramatically reduce memory consumption and speed up the processing of these operations. Another approach is lazy evaluation. Rather than pushing every single change onto the undo stack, developers delay state updates and aggregate multiple changes into a single entry. For instance, if a user types quickly and then pauses, the system can wait to finalize the changes until it's clear that the user has finished their input. This strategy minimizes overhead and ensures that only meaningful states are recorded. Background processing is also critical, especially for those resource-intensive tasks involved in…

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