Algorithms } 042 } Monte-Carlo Methods }

This lecture discusses basic principles of Monte-Carlo methods, a class of computational algorithms. A simple example of estimating value of pi is discussed. Monte-carlo techniques are widely used in the areas of modern physics, nuclear simulation, astro-physics and many other areas of science and engineering where direct computation or analytical solutions are impossible or too difficult to obtain. The name comes from a top secret nuclear project during world war II. A scientist in the project group suggested a name Monte-Carlo which is a casino in Monaco. Monte-Carlo methods make use of probability and probability distributions play a major role in the outcome of the algorithm.

Click above and [ ►Subscribe ] Leprofesseur } on YouTube. We appreciate your feedback and support. Do not forget to give thumbs-up 🙂

Sincerely,
Harrish

1,519 total views, 2 views today

Leave a Reply

Your email address will not be published. Required fields are marked *

} Rethink the way you learn }™   Leprofesseur }

 

 

Skip to toolbar