Courant–Friedrichs–Lewy condition
So let's imagine that you and your friends are playing a game and you need to pass a ball to each other. But the ball can only travel a certain distance in a set amount of time. This is kind of like the courant-friedrichs-lewy condition (CFL).
In science and engineering, we use something called a numerical method to solve equations that describe things like the motion of fluids and the spread of heat. But just like our ball game, this numerical method has a limit on how much information (like the distance the ball can travel) it can handle in one go.
The CFL condition is a rule that helps us figure out the maximum limit on distance and time that we can use so that our numerical method is accurate. It helps us avoid getting the wrong answer because we tried to do too much at once, just like if you tried to throw the ball too far or too fast.
So basically, the CFL condition is like a reminder to take small steps and be careful when we're doing calculations so we can get the right answer.
In science and engineering, we use something called a numerical method to solve equations that describe things like the motion of fluids and the spread of heat. But just like our ball game, this numerical method has a limit on how much information (like the distance the ball can travel) it can handle in one go.
The CFL condition is a rule that helps us figure out the maximum limit on distance and time that we can use so that our numerical method is accurate. It helps us avoid getting the wrong answer because we tried to do too much at once, just like if you tried to throw the ball too far or too fast.
So basically, the CFL condition is like a reminder to take small steps and be careful when we're doing calculations so we can get the right answer.