So congratulations for making it through this section.
I hope you liked it.
I think this section was pretty much different from the other sections because it was really based on
randomness.
And I mean, this is the whole idea of Monte Carlo, but also I understand that this can be a bit annoying
because sometimes you just have to rerun the same simulation over and over again and just see if it
works or if it doesn't work.
And then you have to tune some of the parameters or the numbers of steps or iterations that you want
to do.
So really, randomness is sometimes difficult to deal with.
However, it allowed us to really simulate the collective magnetic behavior of this tiny individual
magnets.
And if we would have solved this problem using the gradient descent method, we would have never finished
because it would have taken so much more time.
So it really is an advantageous technique using this Monte Carlo algorithm.
However, it also has its downsides.
And you have to be really careful to use it in the proper way.