In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.
Statistical Mechanics: Algorithms and ComputationsÉcole normale supérieure
About this Course
Syllabus - What you will learn from this course
Monte Carlo algorithms (Direct sampling, Markov-chain sampling)
Hard disks: From Classical Mechanics to Statistical Mechanics
Entropic interactions and phase transitions
Sampling and integration
- 5 stars85.71%
- 4 stars11.96%
- 3 stars1.15%
- 2 stars0.38%
- 1 star0.77%
TOP REVIEWS FROM STATISTICAL MECHANICS: ALGORITHMS AND COMPUTATIONS
High quality, very well explained, but if you are like me, a non-physicist mainly interested in the statistical part, you might get slightly lost at times...
Deepen my trust in Monte-Carlo and Markov Chain Monte-Carlo simulation --- exact mimic their analytical counterpart.
Also get the chance to touch the spirit of Quantum Mechanics.
The course is self-contained. Very good for people even if they are not physicist. They can still learn a lot about computational methods that are useful in many ways.
This is a really good course for the introduction of computational methods in statistical physics. Quite a few topics are covered and very subtle and efficient algorithms are developed and discussed.
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