The Memoization pattern
The Memoization pattern is a crucial optimization technique in software development that improves the efficiency of programs by caching the results of expensive function calls. This approach ensures that if a function is called with the same inputs more than once, the cached result is returned, eliminating the need for repetitive and costly computations.
Real-world examples
We can think of calculating Fibonacci numbers as a classic example of the memoization pattern. By storing previously computed values of the sequence, the algorithm avoids recalculating them, which drastically speeds up the computation of higher numbers in the sequence.
Another example is a text search algorithm. In applications dealing with large volumes of text, such as search engines or document analysis tools, caching the results of previous searches means that identical queries can return instant results, significantly improving user experience.
