Computational complexity

Computational complexity is like playing with blocks. You know how some blocks are big and some are small? Imagine we have a really big tower of blocks, maybe thousands of blocks high. Now let's say we want to take it apart and build a new tower with the same blocks, but in a different order.

This is kind of like a computer program. Sometimes, we have to take apart a big problem and figure out how to solve it with the blocks (or code) we have. But just like with the tower of blocks, sometimes that can be really hard and take a long time.

Computational complexity is all about figuring out how hard it is to solve a problem with a computer program. Think of it like a game where we have to guess how many moves it will take us to solve a puzzle. Sometimes it's easy, like if we're only moving one or two blocks around. But other times it might be really hard, like if we have to move all the blocks in a certain way to solve the puzzle.

In computer terms, we talk about different kinds of problems that are harder or easier to solve. If a problem is really easy to solve, we say it has "low computational complexity." But if a problem is really hard to solve, we say it has "high computational complexity."

So that's computational complexity - just like guessing how many moves it will take to solve a puzzle, we're trying to figure out how hard it will be to solve a problem with a computer program.