Shahid Beheshti University

Department of Physics

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Computational Physics and Numerical Analysis (Fall 2024)

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A course on Computational Physics and Numerical Analysis  (Fall 2024)

This course is devoted to  some topics in computational methods for physics.

Link for class

Link for my previous lectures on Selected Topics

Link for my previous lectures on Computational Physics (SBU-VPN needed)

Link for my previous lectures on Computational Physics

Link for my lectures on Optimization (Khajeh Nasir Digital Library, SBU VPN needed)

 

Some topics to teach are as follows:

  • Solving coupled Differential Equations and Boundary Value Problems
  • Chaotic phenomena
  • Probability Distribution functions and transformations
  • Correlation functions, Two-point correlation function
  • Spectral analysis
  • Monte Carlo simulation
  • Simulation by VPython
  • Machine learning in Physics
  • Topological Based Data Analysis
  • Course subjects and program (Download)
  • Preliminary Part A (Download)
  • Preliminary Part B (Download)
  • A good movie presented by Pooyan Goodarzi to connect the server, remotely (Link)
  • A good link for shell script programming (Link)
  • Some of my bash samples (Download)
  • A sample for Linux commands skills (Download)
  • A good link for programming tutorials  (Link)
  • A good presentation by Kip R. Irvine for number representation (Download)
  • Hartmann, Alexander K., and Heiko Rieger. Optimization algorithms in physics. Vol. 2. Berlin: Wiley-Vch, 2002.

  • Hartmann, Alexander K., and Heiko Rieger, eds. "New optimization algorithms in physics." (2004): 134411.

  • Mezard, Marc, and Andrea Montanari. Information, physics, and computation. Oxford University Press, 2009.

  • Computational Physics By RUBIN H. LANDAU, MANUEL JOSE PAEZ and CRISTIAN C. BORDEIANU (See this link)
  • A good presentation by Kip R. Irvine for number representation (Download)
  • A good text for commands in Fortran, C++, Matlab (Download)
  • VPython
  • Some necessary things for programming skills (Download)
  • A good paper for data analysis in cosmology by Licia Verde, arXiv:0712.3028
  • Online numerical recipes (http://www.numerical.recipes)
  • My lectures on Errors and PDF (Download) (Download)
  • Some of my Python programs (Download)
  • Visualization by Matlab (link)
  • Discretization approaches (Download) (Download)
  • My note about deterministic Fractals (Download) & (see this link)
  • A good reference for errors analysis (see this link)
  • A proper series for Machine learning (Part 1), (part 2)
  • School and Workshop on statistical analysis of stochastic fields (Link) (Link)
  • A pedagogical matter for MCMC (Link)
Other related materials and courses
  • Researches methods course (Link)
  • Data Analysis workshop (Link)
  • Data Sciences (Link)
  • Stochastic field Workshop (Link)
  • Topological Based Data Analysis Workshop (Link)
  • Challenges in training and researches in Physics (Link)
  • Critical Phenomena and Phase transitions (Link)

My previous lectures (Link), (Link), (Link) and (Link)

  • Preliminary Part for Advanced Computational methods (Download)
  • Data Science 1 (Download)
  • Number Representation (Download) (Download)
  • Data Science 2 (Download)
  • Error estimation (error estimation) my note included (error estimation)
  • TDA (Download)
  • A script for plotting figure by Python (Download)
  • Quantum Machine Learning (Part1 & Part2) By Narges Eghbali and Anahid Kiani   (Film)
  • Non-parametric modeling: Gaussian Processes (Download) By Ali Haghighatgoo
  • Simulation-Based-Inferences workshop by Mohammad Hossein Jalali (Download)
  • Some examples for numerical analysis by Mathematica By Adeela Afzal (Download)
  • A sample for plotting figure by Mathematica with its export commands (Download)

 

Some of my lectures on the Board

Lecture2: Preliminary Part A (Download)
Lecture3: Shell Script (Download)
Lecture4: Number representation (Download)
Lecture5: DATA Science (Download)
Lecture6: Road map for DATA Analysis (Download)
Lecture7: Error estimation (Download) and my additional note (Download)
Lecture8: PDF (Download), (Download), (Download), (Download), (comp981220)
Lecture9: Correlation (Download), (Download), (Download)
Lecture 10: RW and Langevin Equation  (comp990117), (comp990119)
Lecture 11: Numerical analysis  (comp990124), (comp990126), (comp990131), (comp990202) & Finite difference and Finite element methods (DFE), (comp990202B), (comp990311A) & Finite difference and Finite element methods (DFE) & Quantum mechanic via FEM (Download) , Mozafari's talk (CP 1396) (link)
Lecture 12: Chaotic Phenomena (comp990207), (comp990209)
Lecture 13: Power spectrum (comp981227)
Lecture 14: 14020912 (Download)

 

Exams timeline

First midterm will be held at 1403/08/24 at 9:00 am  Questions with answer-key (Download) & Data (Download), Send your results in zip format to Alireza Rahpeyma via g.al2rma[at]gmail.com

 

ردیف

شماره دانشجویی

midterm1-85

1

401216001

67

2

400216002

77

3

402216001

75

4

401216002

64

5

98216003

0

6

401216006

68

7

401216007

40

8

400216043

80

9

401216010

70

10

401216015

44

11

401216020

50

12

400216027

9

13

401216022

74

14

402216029

32

15

99216019

78

16

403216002

65

17

401216026

23

18

401216027

0

19

402216037

75

20

99216030

0

21

401216034

22

22

402216039

0

23

99216034

68

24

99216035

0

25

401216036

63

26

99216039

51

27

401216039

21

28

99216041

55

29

401216041

51

30

401216042

0

 

 

 

 

 

 

 

mean

55.08

 

var

20.92

 

max

80

 

min

9

 

Final exam

 

Exercises:

# Set 1 (Download)  Necessary files (Q2-Part B) (Q2-Part E)

# Set 2 (Download)  Necessary file (DATA) (DATA 2) New version

# Set 3 (Download)  Necessary files (data)

# Set 4 (Download)  Necessary files (data)

# Set 5 (Download)

# Set 6 (Download) and (Download) (data including 0.2.txt, 0.5.txt and 0.8.txt)

# Set 7 (Download)

# Set 8 (Download)

# Set 9 (Download)

# Set 10 (Download) Related to Mathematica crash course (Download) & (Download) (see also the movie for the crash course by Adeela Afzal (Link1) & (Link2))

# Set 11 (Download) (Download) (data including 0.2.txt, 0.5.txt and 0.8.txt) & sunspot data (Download)

Last Updated on Tuesday, 03 December 2024 20:22  

About Me


Tomb of Cyrus the great (Pasargadae, IRAN)

Professor of Physics,
Shahid Beheshti University,
Tehran, IRAN.

And

Adjunct faculty,
The University of Lahore,
Lahore, PAKISTAN. (2024 - Now)

And

Resident researcher,
School of Astronomy,
Institute for research in fundamental sciences (IPM),

Tehran, IRAN. (2023 - Now)

And

Resident researcher,
School of Physics,
Institute for research in fundamental sciences (IPM),

Tehran, IRAN. (2013-2021)

And

Junior Associate of ICTP,
International Center for Theoretical Physics,
Trieste, ITALY (2009-2016)

 

 

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