ICFP NumPhys Paris

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Course description

NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter. We cover the many algorithms used in modern many-body problems: molecular dynamics, Monte Carlo (classical and quantum), exact diagonalization and optmization in complex landscapes. Implications to computer science are also discussed. We focus on algorithms and physics, not on programming and heavy numerics. The theoretical lecture is followed by a tutorial introducing many concrete numerical exercises. You will have to hand in 3 homeworks.

Team

• Alberto ROSSO (LPTMS, CNRS et Université Paris-Sud, Orsay)
• Guillaume ROUX (LPTMS, CNRS et Université Paris-Sud, Orsay)
• Marcello CIVELLI (LPS, Université Paris-Sud, Orsay)

Schedule with notes and tutorials

Schedule

Language

The working language for this course is English.
Programming Language: Python 3. See Memento Python
You need first of all to have Python installed with at least modules NumPy, SciPy and matplotlib.

Prerequisites

The program language that we use is Python 3. No previous experience in programming is required.

Grading

3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)

Schedule andLocation

• Lectures on Fridays: 13.45-15.45
• Tutorials on Fridays: 15.45-17.45
• ENS, 24 rue Lhomond, room L367

Connecting the "visiteur" wifi service

The network "visiteurs.phys.ens.fr" is for the visitors.

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Accept the certificat and enter the password available for the current week:

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Forum

here it is please register

References

• SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)
• Other references are specified in each lectures