What are some real-world use cases of memoization?
Memoization is often used in scenarios where functions are called repeatedly with the same arguments. For example, in calculating Fibonacci numbers, memoization can significantly reduce the time complexity.
Can you give me another example?
Sure! Memoization is also useful in web applications for caching API responses. If the same data is requested multiple times, memoization can store the result and return it instantly.
How does memoization improve performance?
By storing previously computed results, memoization avoids redundant calculations, leading to faster execution times, especially in recursive functions.
Are there any downsides to using memoization?
Yes, memoization can increase memory usage since it stores results. If not managed properly, it can lead to memory bloat.
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