ICFP NumPhys Paris: Difference between revisions

Revision as of 09:19, 28 August 2019

Sinaï's billard

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

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.

The WIFI password for this networks is: PhysiqueENS

Then you can run a navigator (Firefox, Chrome, IE, Safari...)

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

XXXX

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

@@ Line 4: / Line 4: @@
 ==== Course description ====
 <div>
-NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.
+NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.
-We will 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.
+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.
 </div>
@@ Line 15: / Line 14: @@
 * [https://www.lps.u-psud.fr/index.php?page=pageperso&nom=CIVELLI&prenom=Marcello&lang=fr Marcello CIVELLI] ([https://www.lps.u-psud.fr/?lang=en LPS, Université Paris-Sud, Orsay])
+==== Schedule with notes and tutorials ====
+[https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml Schedule]
+<!--
+<iframe src="https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&amp;single=true&amp;widget=true&amp;headers=false"></iframe>
+-->
+===== Language =====
+The working language for this course is English.<br>
+Programming Language: Python 3. See [[Memento Python]]<br>
+You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.
 ==== Prerequisites ====
@@ Line 23: / Line 33: @@
 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)
-==== Schedule and Location ====
+==== Schedule andLocation ====
 * Lectures on Fridays: 13.45-15.45
@@ Line 41: / Line 51: @@
 *  XXXX
-==== Schedule with notes and tutorials ====
-[https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml Schedule]
-<!--
-<iframe src="https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&amp;single=true&amp;widget=true&amp;headers=false"></iframe>
--->
 ==== Forum ====
@@ Line 53: / Line 58: @@
-===== Language =====
-The working language for this course is English.<br>
-Programming Language: Python 3. See [[Memento Python]]<br>
-You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.
 ==== References ====
 * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]
 * Other references are specified in each lectures