Can you explain how memoization works in programming?
Sure! Memoization is an optimization technique that stores the results of expensive function calls and returns the cached result when the same inputs occur again.
How does it improve performance?
It reduces the number of function calls by saving previously computed results, which is especially useful in recursive functions.
Can you give me an example of memoization in action?
Absolutely! For instance, in calculating Fibonacci numbers, memoization can store results of previous calculations to avoid redundant work.
Are there any downsides to using memoization?
Yes, it can increase memory usage due to storing results, and it may not be beneficial for functions with a large number of unique inputs.
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