How can I optimize performance in nested loops?

How can I optimize performance in nested loops?

To optimize performance in nested loops, consider reducing the number of iterations, using efficient data structures, or breaking the problem into smaller parts.

What are some common techniques for reducing iterations?

Common techniques include loop unrolling, using break statements, and applying mathematical formulas to eliminate unnecessary calculations.

Can you explain loop unrolling with an example?

Sure! Loop unrolling involves expanding the loop body to decrease the number of iterations. For example, instead of:

for i in range(0, 10):
    process(data[i])

You could unroll it to:

for i in range(0, 10, 2):
    process(data[i])
    process(data[i+1])

Are there any specific data structures that help with this?

Yes, using hash tables or sets can significantly speed up lookups, while arrays or lists can be more efficient for sequential access.