The author delves into the importance and intricacies of memoization, a technique to store the results of expensive function calls to reduce unnecessary calls. They discuss various aspects, such as local variables, the memoization operator in Ruby, and the need to be cautious with false and nil values. A surprising revelation is the significant impact of memoization on performance, demonstrated through Fibonacci sequence calculations. They introduce a Memoization DSL and address memory management concerns. A clever solution involving weak references is suggested to address memory efficiency issues. The author emphasizes the importance of immutability when applying memoization and shares insights on avoiding potential pitfalls.
https://denisdefreyne.com/articles/2024-memoization/