Which optimization technique can lead to a trade-off between speed and memory us

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Question: Which optimization technique can lead to a trade-off between speed and memory usage?

Options:

Correct Answer: Function inlining

Solution:

Function inlining can lead to a trade-off between speed and memory usage, as it increases code size but can reduce function call overhead.

Which optimization technique can lead to a trade-off between speed and memory usage?

Which optimization technique can lead to a trade-off between speed and memory usage?

Step 1: Understand what function inlining is. It means replacing a function call with the actual code of the function.
Step 2: Recognize that when you inline a function, you copy its code into the place where it is called.
Step 3: Realize that this can make your program run faster because it avoids the time it takes to call a function.
Step 4: Note that inlining increases the size of your code because you have more copies of the same code.
Step 5: Understand the trade-off: faster execution (speed) but using more memory (memory usage) because of the larger code size.

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