Adaptive algorithm

Imagine you are playing a game with a friend. At first, your friend is very good at the game and keeps winning. But as you keep playing, you start to figure out their moves and get better too.

An adaptive algorithm is sort of like that. It's a way for a computer program to learn and improve based on its experiences. Just like you got better at the game the more you played, an adaptive algorithm can get better at solving problems the more it works on them.

Here's how it works:

Let's say you have a computer program that's trying to sort a bunch of numbers in order from smallest to largest. If the program is using an adaptive algorithm, it starts by sorting the numbers in one way. But then it checks to see if that way worked well or not.

If the program sorted the numbers correctly, it knows that method works well and keeps doing it. But if the program didn't sort the numbers correctly, it knows it needs to try a different method.

Over time, the program will get better at sorting the numbers because it will keep trying different methods until it finds the one that works the best. And as it learns more about how to sort numbers, it can do it faster and more accurately.

So, an adaptive algorithm is like a computer program that is so smart, it can learn from its mistakes and get better at solving problems with time!