Memoization in JavaScript

The article explains memoization as a way to avoid repeating expensive calculations when a function receives the same inputs again. It uses a slow multiplication example to show that the second call can reuse a cached result instead of running the function body again.

Reading notes

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• Memoization returns a cached output when the same inputs are used again.
• The example wraps slowProduct() in myMemoize() and stores the memoized function in memoizedProduct.
• myMemoize() keeps results in an object keyed by JSON.stringify(args).
• When a key is missing, it calls the original function, stores the result, and returns it.
• The complete example shows the second call reusing the stored value instead of recalculating.
• A later change lets myMemoize() accept an optional context and uses fn.call(context || this, ...args).
• The conclusion says memoization can improve performance and can be combined with other optimizations.