What are computational constraints?

Computational constraints are like rules that limit how fast or how much a computer can do its work.

Imagine you're playing with building blocks. You have a limited number of blocks, say, 10. That's your constraint. No matter how clever you are, you can't build a tower taller than 10 blocks unless you get more blocks.

Now think about a computer doing math or solving puzzles. It has computational constraints, like not having enough memory or being too slow to process information quickly. These are like the rules that say: "You only have this many blocks" or "You can't move pieces faster than this."

• If you're using a toy robot to sort colored balls, and it has only 5 spots to hold balls at once, that's a memory constraint, it can’t handle more than 5 balls at the same time.
• A slower robot might take longer to move each ball, that’s a speed constraint, like having to walk instead of run.

These constraints are just like your rules in a game. They help make things fair and give you something fun to work around!