What memory optimization technique could improve this function?
function processItems(items) {
// Create a transformed copy
const transformed = items.map(item => {
return {
id: item.id,
name: item.name,
value: computeValue(item)
};
});
// Filter out some items
const filtered = transformed.filter(item => item.value > 100);
// Sort the items
const sorted = filtered.sort((a, b) => b.value - a.value);
return sorted;
}
Chaining operations would improve memory efficiency in this function: 1) The current implementation creates three separate intermediate arrays (transformed, filtered, sorted), 2) Each intermediate array consumes memory and requires allocation, 3) Chaining the operations eliminates these temporary arrays: items.map().filter().sort(), 4) This reduces memory pressure and garbage collection overhead, 5) It's a more functional and concise approach, 6) Modern JavaScript engines may optimize some chained operations internally, 7) This pattern is particularly important when processing large data sets, 8) Avoiding unnecessary intermediate data structures is a fundamental memory optimization technique.