How do map, filter, and reduce compare in terms of performance?

How do map, filter, and reduce compare in terms of performance?

The performance of map, filter, and reduce can vary based on the context and the size of the data. Generally, map and filter are faster because they operate on each element independently, while reduce may involve more complex operations that can slow it down.

Are there specific scenarios where one is better than the others?

Yes, for instance, if you need to transform data, map is ideal. If you need to extract a subset, filter is best. Reduce is great for aggregating data.

What about their memory usage?

Map and filter typically use less memory since they create new arrays, while reduce can be more memory-intensive depending on the operation and the size of the input.

Can you give an example of each in JavaScript?

Sure! For map: array.map(x => x * 2), for filter: array.filter(x => x > 10), and for reduce: array.reduce((acc, x) => acc + x, 0).