ICFP NumPhys Paris: Difference between revisions

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[[File:CFP_2018_sinai.jpg|400px|thumb|Sinaï's billard]]
[[File:CFP_2018_sinai.jpg|500px|thumb|Sinaï's billard]]
 
 
==== Course description ====
 
<div>
NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br>
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. <br> Implications to computer science are also discussed. We focus on algorithms and physics, not on programming and heavy numerics.<br> The theoretical lecture is followed by a tutorial introducing many concrete numerical exercises. You will have to hand in 3 homeworks.
</div>
 
==== Team ====
* [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])
* [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])
* [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])


= Numerical Physics 2019 =


This is the official web page of the course, which is part of Master ICFP (International Center for Fundamental Physics)


==== Prerequisites ====  
==== Prerequisites ====  
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[http://numphys.forumactif.com/ here it is] please register
[http://numphys.forumactif.com/ here it is] please register


==== Course description ====
<div>
NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br>
We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics,  exact diagonalization, optmization in complex landscapes. Implications to computer science problems 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>
==== Team ====
* [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])
* [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])
* [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])


===== Language =====
===== Language =====

Revision as of 09:13, 28 August 2019

Sinaï's billard


Course description

NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic 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.

Team


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 and Location

  • 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

Schedule with notes and tutorials

Schedule

Forum

here it is please register


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.

References