Shahid Beheshti University

Department of Physics

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Optimization and computational approaches (Fall 2021)

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Optimization and Computational approaches for Ph.D. and MS students  (Fall 2021)

This course is devoted to advanced and more recent topics in Optimization and computational approaches. Indeed I selected some topics in computational methods and Optimization problems.

Link for class  https://vc15.sbu.ac.ir/class-4001161821101/

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:

  • Probability Distribution functions and transformations
  • Correlation functions, Two-point correlation function
  • Monte Carlo simulation
  • Data modeling
  • Genetic Algorithms

  • Course subjects and program (Download)
  • A good movie presented by Pooyan Goodarzi to connect the server, remotely (Link)
  • A good link for shell script programming (Link)
  • A good link for programming tutorials  (Link)
  • 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)
  • Some bash samples (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)
  • Some good Books for Machine learning and related topics, http://www.aghamousa.com/data-science-books/
  • School and Workshop on statistical analysis of stochastic fields (Link) (Link)

 

My lectures

Some of my previous lectures on computational Physics (Click here)

First midterm:  1400/09/04   Questions

Second midterm:  1400/10/09   Questionssin.txt & CoVAnswerkey

Final exam:  1400/10/30 Questions

Marks (Download), Midterm1(Download), Midterm2(Download), Final(Download)

Exercises:

# Set 1 (Download)  Necessary files (Q1-Part A)  (Q2-Part B)

# Set 2 (Download)  Related Data (Download)

# Set 3 (Download)

# Set 4 (Download) Related Data (Download)

# Set 5 (Download) data1 (Download) data (including 0.2.txt, 0.5.txt and 0.8.txt) (Download)  (1+1)-Dimension data (Download) (1+2)-Dimension data (Download) and (Download)

# Set 6 (Download) fitinput (Download) and SNIA.zip

# Set 7 (Downloadx.txtCOV.txt

# Set 8 (Download) fitinput (Download)

# Set 9 (Download)

# Set 10 (Download) fitinput (Download)

# Set 11 (Download) for first question: fitinput (Download) & for second question: SNIA.zip

Last Updated on Thursday, 12 May 2022 17:50  

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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