Wiki Cours - User contributions [en]

http://www.lptms.universite-paris-saclay.fr//wiki-cours/api.php?action=feedcontributions&feedformat=atom&user=Marcelloo Wiki Cours - User contributions [en] 2026-05-06T21:45:35Z User contributions MediaWiki 1.43.6 http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1175 ICFP NumPhys Paris 2019-12-06T17:50:42Z

<p>Marcelloo: /* Breaking News: Oral exams December 9-11 AND FRIDAY 13 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> = '''Breaking News:''' <br /> Oral exams December 9-11 <br /> '''AND FRIDAY 13'''=<br /> <br /> '''New slots have been added on Friday morning 13th'''. Fill them up. <br /> Each interview lasts 20' and will take place at the ENS.<br /> '''Fix your exam slot''' starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1174 ICFP NumPhys Paris 2019-12-06T17:50:18Z

<p>Marcelloo: /* Breaking News: Oral exams December 9-11 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> = '''Breaking News:''' <br /> Oral exams December 9-11 '''AND FRIDAY 13'''=<br /> <br /> '''New slots have been added on Friday morning 13th'''. Fill them up. <br /> Each interview lasts 20' and will take place at the ENS.<br /> '''Fix your exam slot''' starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1171 ICFP NumPhys Paris 2019-11-30T09:34:41Z

<p>Marcelloo: /* Breaking News: Oral exams December 9-11 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = '''Breaking News:''' <br /> Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS.<br /> '''Fix your exam slot''' starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1170 ICFP NumPhys Paris 2019-11-30T00:20:41Z

<p>Marcelloo: /* Breaking News: Oral exams December 9-11 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = '''Breaking News:''' <br /> Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS in a room that will be soon announced.<br /> '''Fix your exam slot''' starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1169 ICFP NumPhys Paris 2019-11-30T00:19:08Z

<p>Marcelloo: </p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = Breaking News: Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS in a room that will be soon announced.<br /> '''Fix your exam slot''' starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1168 ICFP NumPhys Paris 2019-11-30T00:18:43Z

<p>Marcelloo: /* Breaking News: Oral exams December 9-11 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = Breaking News: <br /> Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS in a room that will be soon announced.<br /> '''Fix your exam slot''' starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1167 ICFP NumPhys Paris 2019-11-30T00:17:50Z

<p>Marcelloo: /* Breaking News: Oral exams December 9-11 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = Breaking News: Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS in a room that will be soon announced.<br /> '''Fix your exam slot''' starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1166 ICFP NumPhys Paris 2019-11-30T00:17:10Z

<p>Marcelloo: /* Breaking News: Oral exams December 9-11 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = Breaking News: Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS in a room that will be soon announced.<br /> [[Fix your exam slot]] starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1165 ICFP NumPhys Paris 2019-11-30T00:15:43Z

<p>Marcelloo: /* Quizzino */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = Breaking News: Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS in a room that will be soon announces.<br /> Fix your exam slot starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1164 ICFP NumPhys Paris 2019-11-30T00:15:07Z

<p>Marcelloo: /* Breaking News: Oral exams December 9-11 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = Breaking News: Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS in a room that will be soon announces.<br /> Fix your exam slot starting by now [https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing on this page]<br /> <br /> First arrived, first served. In case of any issue, please take contact with us by e-mail. Good luck!<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Quizzino=<br /> <br /> '''here you can find a link to the [https://drive.google.com/file/d/1SB7kd2bS7LI7bx1godYLaTFPrs5YjqRL/view?usp=sharing QMC teaser] '''<br /> <br /> '''The solution of the teaser is:'''<br /> <br /> '''Q1: C'''<br /> <br /> '''Q2: D''' <br /> <br /> '''Q3: B'''<br /> <br /> '''Q4: B'''<br /> <br /> '''Q5: B '''<br /> <br /> '''Q6: A''' (B is also correct because in Program B16 p_minus is actually p_plus: sorry!)<br /> <br /> '''Q7: A<br /> '''<br /> <br /> <br /> <br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1163 ICFP NumPhys Paris 2019-11-30T00:13:18Z

<p>Marcelloo: /* QMC: the rule of the game */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> '''HW3 is online, on Friday 22th, lectures on ED in conf IV room at 2pm'''<br /> <br /> <br /> = Breaking News: Oral exams December 9-11 =<br /> <br /> Each interview lasts 20' and will take place at the ENS in a room that will be soon announces.<br /> Fix your exam slot starting by now [on this page](https://docs.google.com/spreadsheets/d/1g-T2k-NdcPdvruAdOMfU9MPBqmD7AUXph1XkSng0wVo/edit?usp=sharing)<br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 14.0-16.00<br /> * Tutorials on Fridays: 16h00-18.00<br /> * ENS, 24 rue Lhomond, room Conf IV (2nd floor)<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> <br /> 3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The WIFI network is: '''PHYS-GUEST'''<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password: '''numerical.physics@phys.ens.fr'''<br /> <br /> <br /> = Quizzino=<br /> <br /> '''here you can find a link to the [https://drive.google.com/file/d/1SB7kd2bS7LI7bx1godYLaTFPrs5YjqRL/view?usp=sharing QMC teaser] '''<br /> <br /> '''The solution of the teaser is:'''<br /> <br /> '''Q1: C'''<br /> <br /> '''Q2: D''' <br /> <br /> '''Q3: B'''<br /> <br /> '''Q4: B'''<br /> <br /> '''Q5: B '''<br /> <br /> '''Q6: A''' (B is also correct because in Program B16 p_minus is actually p_plus: sorry!)<br /> <br /> '''Q7: A<br /> '''<br /> <br /> <br /> <br /> <br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1103 ICFP NumPhys Paris 2019-08-28T20:43:24Z

<p>Marcelloo: </p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> Here you find the scheduling of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * XXXX<br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1102 ICFP NumPhys Paris 2019-08-28T20:42:40Z

<p>Marcelloo: </p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|600px|thumb|Sinaï's billard]]<br /> <br /> <br /> = Course description = <br /> <br /> <div><br /> NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter.<br /> 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.<br /> </div><br /> <br /> = Team =<br /> <br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> = Schedule =<br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> Here you find the schedule of <br /> [https://docs.google.com/spreadsheets/d/1NlHTj7ypYoVyy6c9jpq-93NxDryAfbvy1vnOgA3ucPE/edit#gid=245193379/pubhtml Lectures, Tutorials and Homeworks]<br /> <br /> <br /> <br /> <br /> = Language =<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> '''No previous experience in programming is required.''' <br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> = Grading =<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> = WIFI =<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * XXXX<br /> <br /> = Forum =<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> <br /> == References ==<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1034 ICFP NumPhys Paris 2018-11-28T23:06:58Z

<p>Marcelloo: </p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|400px|thumb|Sinaï's billard]]<br /> <br /> = Numerical Physics 2018 =<br /> <br /> This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) <br /> <br /> ----<br /> <span style="color:red"> <br /> '''Breaking News: Scheduling for the Orals exams'''<br><br /> Oral exams will take place from Monday 10 to Wednesday 12 December.<br><br /> [https://docs.google.com/spreadsheets/d/19zVrKXdeGOx51drDv8aUJaJfR7tOlvZfjcqAHf2t3nE/edit?usp=sharing CLICK HERE] to choose an available slot (you can only choose one). First arrived, first served. <br /> </span><br /> ----<br /> <br /> <span style="color:red"> <br /> Friday Nov 30th => we stay in room L367<br><br /> Guillaume<br /> </span><br /> <br /> <span style="color:red"> <br /> HW3: the subject will be put on the web before Friday 30th @11:00pm<br><br /> The due date has been changed to Sunday 23th @10:00pm<br><br /> Guillaume<br /> </span><br /> <br /> ==== Prerequisites ==== <br /> The program language that we use is Python 3. No previous experience in programming is required.<br /> <br /> ==== Grading ====<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> ==== Schedule and Location ==== <br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> ==== Connecting the "visiteur" wifi service ====<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * 18/11 => 24/11: cruentuth228<br /> * 25/11 => 02/12: sailie846<br /> <br /> ==== Schedule with notes and tutorials ====<br /> <br /> [https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml Schedule]<br /> <br /> <br /> ==== Forum ====<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> ==== Course description ==== <br /> <br /> <div><br /> NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br><br /> We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, 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.<br /> </div><br /> <br /> ==== Team ====<br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> ===== Language =====<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> ==== References ====<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures<br /> <br /> ===== Thesis advertisement =====<br /> Thinking about your projects for the next year?<br /> To be PhD student in Paris area it is really a great choice...<br /> ...but it is not the only one!<br /> <br /> Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=1033 ICFP NumPhys Paris 2018-11-28T22:52:07Z

<p>Marcelloo: </p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|400px|thumb|Sinaï's billard]]<br /> <br /> = Numerical Physics 2018 =<br /> <br /> This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) <br /> <br /> ----<br /> <span style="color:red"> <br /> '''Breaking News: Scheduling for the Orals exams'''<br><br /> Oral exams will take place from Monday 10 to Wednesday 12 December.<br><br /> [https://drive.google.com/file/d/13PiJAfepIqeUFFDddiqoVrVNo9JlEhPU/view?usp=sharing CLICK HERE] to choose an available slot (you can only choose one). First arrived, first served. <br /> </span><br /> ----<br /> <br /> <span style="color:red"> <br /> Friday Nov 30th => we stay in room L367<br><br /> Guillaume<br /> </span><br /> <br /> <span style="color:red"> <br /> HW3: the subject will be put on the web before Friday 30th @11:00pm<br><br /> The due date has been changed to Sunday 23th @10:00pm<br><br /> Guillaume<br /> </span><br /> <br /> ==== Prerequisites ==== <br /> The program language that we use is Python 3. No previous experience in programming is required.<br /> <br /> ==== Grading ====<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> ==== Schedule and Location ==== <br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> ==== Connecting the "visiteur" wifi service ====<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * 18/11 => 24/11: cruentuth228<br /> * 25/11 => 02/12: sailie846<br /> <br /> ==== Schedule with notes and tutorials ====<br /> <br /> [https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml Schedule]<br /> <br /> <br /> ==== Forum ====<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> ==== Course description ==== <br /> <br /> <div><br /> NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br><br /> We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, 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.<br /> </div><br /> <br /> ==== Team ====<br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> ===== Language =====<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> ==== References ====<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures<br /> <br /> ===== Thesis advertisement =====<br /> Thinking about your projects for the next year?<br /> To be PhD student in Paris area it is really a great choice...<br /> ...but it is not the only one!<br /> <br /> Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=998 ICFP NumPhys Paris 2018-11-05T20:44:43Z

<p>Marcelloo: /* Numerical Physics 2018 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|400px|thumb|Sinaï's billard]]<br /> <br /> = Numerical Physics 2018 =<br /> <br /> This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) <br /> <br /> <span style="color:red"> <br /> DEADLINE HOMEWORK2: Hand-in your Homework 2 by this Friday at 13h45. Send your report to marcello.civelli@u-psud.fr. We require your file in the '''html format''', in order to avoid possible compatibility issues. In particular '''all the outputs''' (figures and numbers) '''should be well displayed'''. Write the name of your file in the form ''yourname_lastname.html''. Any issue, let us know asap. Marcello<br /> </span><br /> <br /> ==== Prerequisites ==== <br /> The program language that we use is Python 3. No previous experience in programming is required.<br /> <br /> ==== Grading ====<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> ==== Schedule and Location ==== <br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> ==== Connecting the "visiteur" wifi service ====<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * 15/10 => 21/10: toonual663<br /> * 22/10 => 28/10: swifass255<br /> ==== Schedule with notes and tutorials ====<br /> <br /> [https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml Schedule]<br /> <br /> <br /> ==== Forum ====<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> ==== Course description ==== <br /> <br /> <div><br /> NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br><br /> We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, 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.<br /> </div><br /> <br /> ==== Team ====<br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> ===== Language =====<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> ==== References ====<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures<br /> <br /> ===== Thesis advertisement =====<br /> Thinking about your projects for the next year?<br /> To be PhD student in Paris area it is really a great choice...<br /> ...but it is not the only one!<br /> <br /> Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=979 ICFP NumPhys Paris 2018-10-01T13:13:12Z

<p>Marcelloo: </p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|400px|thumb|Sinaï's billard]]<br /> <br /> = Numerical Physics 2018 =<br /> <br /> This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) <br /> <br /> <span style="color:red"> <br /> Friday's Lecture will be in room L367, Friday's Tutorial will be in CONF IV <br /> </span><br /> <br /> ==== Prerequisites ==== <br /> The program language that we use is Python 3. No previous experience in programming is required.<br /> <br /> ==== Grading ====<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> ==== Schedule and Location ==== <br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> ==== Connecting the "visiteur" wifi service ====<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * 09/23 => 09/29: kibbel266<br /> * 09/30 => 10/06: freekifts527<br /> <br /> ==== Schedule with notes and tutorials ====<br /> <br /> [https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&single=true Schedule]<br /> <br /> ==== Forum ====<br /> <br /> [http://numphys.forumactif.com/ here it is] please register<br /> <br /> ==== Course description ==== <br /> <br /> <div><br /> NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br><br /> We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, 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.<br /> </div><br /> <br /> ==== Team ====<br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> ===== Language =====<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> ==== References ====<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures<br /> <br /> ===== Thesis advertisement =====<br /> Thinking about your projects for the next year?<br /> To be PhD student in Paris area it is really a great choice...<br /> ...but it is not the only one!<br /> <br /> Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=Installing_mini-conda&diff=954 Installing mini-conda 2018-09-22T09:05:16Z

<p>Marcelloo: </p> <hr /> <div>To use numpy library and other common Python libraries install anaconda into your home directory<br /> (here we download the pyton3 latest version, you may check the repository webpage for other versions):<br /> <pre><br /> wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh<br /> chmod +x miniconda.sh<br /> ./miniconda.sh -b<br /> export PATH=~/miniconda/bin:$PATH<br /> conda update --yes conda<br /> conda create --yes -n dev pip scipy numpy matplotlib hdf5 h5py ipython mpi4py jupyter<br /> </pre><br /> '''Attention''': the "miniconda" name of the directory may vary slightly over versions, check it.<br /> <br /> Then add this line into your ~/.bashrc file:<br /> <pre><br /> PATH=$HOME/miniconda/bin:$PATH<br /> </pre><br /> <br /> The following line activates the virtual environment named "dev",<br /> which effectively moves you to a new folder with its own binary files, compilers, etc.<br /> The line needs to be called before running a script using the virtual environment.<br /> The line can be put either into you .bashrc file or into the (.sge) submission script.<br /> <pre><br /> source activate dev<br /> </pre><br /> Now, virtual environment contains its own compilers.</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=953 ICFP NumPhys Paris 2018-09-22T09:00:54Z

<p>Marcelloo: /* Numerical Physics 2018 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|400px|thumb|Sinaï's billard]]<br /> <br /> = Numerical Physics 2018 =<br /> <br /> This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) <br /> <br /> <span style="color:red"> ATTENTION: a lenovo laptop charger has been found in the room today (Friday 21) after the Tutorial.<br /> The owner can be pick it up at the entrance hall of the ENS rue Lhomond. </span> <br /> <br /> ==== Prerequisites ==== <br /> The program language that we use is Python 3. No previous experience in programming is required.<br /> <br /> ==== Grading ====<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> ==== Schedule and Location ==== <br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> ==== Connecting the "visiteur" wifi service ====<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * 09/16 => 09/22: scietythm664<br /> * 09/23 => 09/29: kibbel266<br /> <br /> ==== Schedule with notes and tutorials ====<br /> <br /> [https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&single=true Schedule]<br /> <br /> <br /> ==== Course description ==== <br /> <br /> <div><br /> NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br><br /> We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, 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.<br /> </div><br /> <br /> ==== Team ====<br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> ===== Language =====<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> ==== References ====<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures<br /> <br /> ===== Thesis advertisement =====<br /> Thinking about your projects for the next year?<br /> To be PhD student in Paris area it is really a great choice...<br /> ...but it is not the only one!<br /> <br /> Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=952 ICFP NumPhys Paris 2018-09-21T21:35:22Z

<p>Marcelloo: /* Numerical Physics 2018 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|400px|thumb|Sinaï's billard]]<br /> <br /> = Numerical Physics 2018 =<br /> <br /> This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) <br /> <br /> <span style="color:red"> ATTENTION: a lenovo laptop charger has been found in the room today (Friday 21) after the Tutorial.<br /> It can be found at the entrance hall of the ENS rue Lhomond </span> <br /> <br /> ==== Prerequisites ==== <br /> The program language that we use is Python 3. No previous experience in programming is required.<br /> <br /> ==== Grading ====<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> ==== Schedule and Location ==== <br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> ==== Connecting the "visiteur" wifi service ====<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * 09/16 => 09/22: scietythm664<br /> * 09/23 => 09/29: kibbel266<br /> <br /> ==== Schedule with notes and tutorials ====<br /> <br /> [https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&single=true Schedule]<br /> <br /> <br /> ==== Course description ==== <br /> <br /> <div><br /> NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br><br /> We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, 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.<br /> </div><br /> <br /> ==== Team ====<br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> ===== Language =====<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> ==== References ====<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures<br /> <br /> ===== Thesis advertisement =====<br /> Thinking about your projects for the next year?<br /> To be PhD student in Paris area it is really a great choice...<br /> ...but it is not the only one!<br /> <br /> Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=951 ICFP NumPhys Paris 2018-09-21T21:33:19Z

<p>Marcelloo: /* Numerical Physics 2018 */</p> <hr /> <div>__NOTOC__<br /> [[File:CFP_2018_sinai.jpg|400px|thumb|Sinaï's billard]]<br /> <br /> = Numerical Physics 2018 =<br /> <br /> This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) <br /> {{font color|red|yellow|ATTENTION: a lenove laptop charger has been found in the room today (Friday 21) after the Tutorial.<br /> It can be found at the entrance hall of the ENS rue Lhomond}} <br /> <br /> ==== Prerequisites ==== <br /> The program language that we use is Python 3. No previous experience in programming is required.<br /> <br /> ==== Grading ====<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> ==== Schedule and Location ==== <br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> ==== Connecting the "visiteur" wifi service ====<br /> <br /> The network "visiteurs.phys.ens.fr" is for the visitors.<br /> <br /> The WIFI password for this networks is: '''PhysiqueENS'''<br /> <br /> Then you can run a navigator (Firefox, Chrome, IE, Safari...)<br /> <br /> Accept the certificat and enter the password available for the current week:<br /> <br /> * 09/16 => 09/22: scietythm664<br /> * 09/23 => 09/29: kibbel266<br /> <br /> ==== Schedule with notes and tutorials ====<br /> <br /> [https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&single=true Schedule]<br /> <br /> <br /> ==== Course description ==== <br /> <br /> <div><br /> NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br><br /> We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, 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.<br /> </div><br /> <br /> ==== Team ====<br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> ===== Language =====<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3. See [[Memento Python]]<br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> ==== References ====<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures<br /> <br /> ===== Thesis advertisement =====<br /> Thinking about your projects for the next year?<br /> To be PhD student in Paris area it is really a great choice...<br /> ...but it is not the only one!<br /> <br /> Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=Installing_mini-conda&diff=929 Installing mini-conda 2018-09-11T19:56:27Z

<p>Marcelloo: </p> <hr /> <div>To use numpy library and other common Python libraries install anaconda into your home directory:<br /> <pre><br /> wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh<br /> chmod +x miniconda.sh<br /> ./miniconda.sh -b<br /> export PATH=~/miniconda/bin:$PATH<br /> conda update --yes conda<br /> conda create --yes -n dev pip scipy numpy matplotlib hdf5 h5py ipython mpi4py jupyter<br /> </pre><br /> '''Attention''': the "miniconda" name of the directory may vary slightly over time, check it.<br /> <br /> Then add this line into your ~/.bashrc file:<br /> <pre><br /> PATH=$HOME/miniconda/bin:$PATH<br /> </pre><br /> <br /> The following line activates the virtual environment named "dev",<br /> which effectively moves you to a new folder with its own binary files, compilers, etc.<br /> The line needs to be called before running a script using the virtual environment.<br /> The line can be put either into you .bashrc file or into the (.sge) submission script.<br /> <pre><br /> source activate dev<br /> </pre><br /> Now, virtual environment contains its own compilers. If you need to run a Python script in parallel,<br /> all needs to be compiled using these compilers, unless you manage to redirect to intel compilers or mkl libraries on orlando. An example of a software which needs to be compiled in this way is the molecular dynamics simulation software LAMMPS,<br /> which can be called from Python and run in parallel.</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=Installing_mini-conda&diff=928 Installing mini-conda 2018-09-11T19:55:26Z

<p>Marcelloo: </p> <hr /> <div>To use numpy library and other common Python libraries install anaconda into your home directory:<br /> <pre><br /> wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh<br /> chmod +x miniconda.sh<br /> ./miniconda.sh -b<br /> export PATH=~/miniconda/bin:$PATH<br /> conda update --yes conda<br /> conda create --yes -n dev pip scipy numpy matplotlib hdf5 h5py ipython mpi4py jupyter<br /> </pre><br /> Then add this line into your ~/.bashrc file:<br /> <pre><br /> PATH=$HOME/miniconda/bin:$PATH<br /> </pre><br /> '''Attention''': the "miniconda" name of the directory may vary slightly over time, check it.<br /> <br /> The following line activates the virtual environment named "dev",<br /> which effectively moves you to a new folder with its own binary files, compilers, etc.<br /> The line needs to be called before running a script using the virtual environment.<br /> The line can be put either into you .bashrc file or into the (.sge) submission script.<br /> <pre><br /> source activate dev<br /> </pre><br /> Now, virtual environment contains its own compilers. If you need to run a Python script in parallel,<br /> all needs to be compiled using these compilers, unless you manage to redirect to intel compilers or mkl libraries on orlando. An example of a software which needs to be compiled in this way is the molecular dynamics simulation software LAMMPS,<br /> which can be called from Python and run in parallel.</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=User:Marcelloo&diff=924 User:Marcelloo 2018-09-11T08:49:06Z

<p>Marcelloo: Created page with " To use numpy library and other common Python libraries install anaconda into your home directory: <pre> wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64..."</p> <hr /> <div><br /> To use numpy library and other common Python libraries install anaconda into your home directory:<br /> <br /> <pre><br /> wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh<br /> chmod +x miniconda.sh<br /> ./miniconda.sh -b<br /> export PATH=~/miniconda/bin:$PATH<br /> conda update --yes conda<br /> conda create --yes -n dev pip scipy numpy matplotlib hdf5 h5py ipython mpi4py jupyter<br /> </pre><br /> <br /> <br /> Then add this line into your ~/.bashrc file:<br /> <br /> <pre><br /> PATH=$HOME/miniconda/bin:$PATH<br /> </pre><br /> <br /> The following line activates the virtual environment named "dev",<br /> which effectively moves you to a new folder with its own binary files, compilers, etc.<br /> The line needs to be called before running a script using the virtual environment.<br /> The line can be put either into you .bashrc file or into the (.sge) submission script.<br /> <br /> <pre><br /> source activate dev<br /> </pre><br /> <br /> Now, virtual environment contains its own compilers. If you need to run a Python script in parallel,<br /> all needs to be compiled using these compilers, unless you manage to redirect to intel compilers or mkl libraries on orlando. An example of a software which needs to be compiled in this way is the molecular dynamics simulation software LAMMPS,<br /> which can be called from Python and run in parallel.</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=ICFP_NumPhys_Paris&diff=916 ICFP NumPhys Paris 2018-09-03T10:17:16Z

<p>Marcelloo: /* Numerical Physics 2018 */</p> <hr /> <div>__NOTOC__<br /> = Numerical Physics 2018 =<br /> <br /> This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) <br /> <br /> [[File:CFP_2018_sinai.jpg|none]]<br /> <br /> ==== Prerequisites ==== <br /> The program language that we use is Python 3. No previous experience in programming is required.<br /> <br /> ==== Grading ====<br /> 3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)<br /> <br /> ==== Schedule and Location ==== <br /> <br /> * Lectures on Fridays: 13.45-15.45<br /> * Tutorials on Fridays: 15.45-17.45<br /> * ENS, 24 rue Lhomond, room L367<br /> <br /> ==== Course description ==== <br /> <br /> <div><br /> NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.<br><br /> We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, 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.<br /> </div><br /> <br /> ==== Team ====<br /> * [http://lptms.u-psud.fr/alberto_rosso/ Alberto ROSSO] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [http://lptms.u-psud.fr/membres/groux/ Guillaume ROUX] ([http://lptms.u-psud.fr/ LPTMS, CNRS et Université Paris-Sud, Orsay])<br /> * [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])<br /> <br /> ===== Language =====<br /> <br /> The working language for this course is English.<br><br /> Programming Language: Python 3.<br><br /> You need first of all to have [[Installing_Python |Python installed]] with at least modules NumPy, SciPy and matplotlib.<br /> <br /> ==== References ====<br /> * [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)]<br /> * Other references are specified in each lectures<br /> <br /> ==== Time Schedule ====<br /> <br /> [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 Schedule]<br /> <br /> <br /> ===== Thesis advertisement =====<br /> Thinking about your projects for the next year?<br /> To be PhD student in Paris area it is really a great choice...<br /> ...but it is not the only one!<br /> <br /> Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:</div>

Marcelloo http://www.lptms.universite-paris-saclay.fr//wiki-cours/index.php?title=File:CFP_2018_sinai.jpg&diff=915 File:CFP 2018 sinai.jpg 2018-09-03T10:12:44Z

<p>Marcelloo: </p> <hr /> <div></div>

Marcelloo