Weekly FYS3150/4150

Dear All, welcome to a new exciting week! 

We hope all is well with project 3. Last week we discussed how to object orient project 3 and discussed partly in lectures and at the lab how to write an object oriented code. 

This week we will during the lecture on Thursday wrap up this discussion with respect to project 3.

However, the focus this week will be on Monte Carlo methods. We will start with Monte Carlo integration,

and discuss topics like probability distribution functions (PDF), random numbers, smart Monte Carlo integration and then slightly move into the field of Markov chains. Project 4 will be available next Thursday and will deal with Monte Carlo simulations. 

The material taught this week is covered by chapter 11 of the lecture notes and the slides at http://compphysics.github.io/ComputationalPhysics/doc/pub/mcint/html/mcint-bs.html

We will also start scratching the surface of Markov chains and chapter 12 of the lecture notes, see the slides at http://compphysics.github.io/ComputationalPhysics/doc/pub/rw/html/rw-bs.html.

The Metropolis algorithm will be discussed next week. 

Else, if you go to https://github.com/CompPhysics/ComputationalPhysics/tree/master/doc/Projects/EvaluationGrading you will find a summary of how we evaluate (and pertinent points) the various projects. You will also find our final grading scale. This way the rules of the game should be pretty transparent to everybody.

Best wishes to you all and good luck with project 3.

Anders, Anna, Mathias, Morten and Sebastian