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)
- Preliminary part (Download) Class's Video (link)
- Number representation (14000706) Class's Video (link)
- Data Science (Download)
- Error estimation (error estimation) my note included (error estimation)
- Optimization: General view (Download) Class's Video (link)
- 1400720 (Download)
- 1400725 (Download)
- 1400727 (Download)
- 1400804 (Download)
- 1400809 (Download)
- 1400811 (Download) See also (Link) and (Download) and (Link)
- 1400816 (Download) See also (Link)
- 1400818 (Download)
- 1400823 (Download)
- 1400825 (Download)
- 1400830 (Download)
- 1400902 (Download)
- 1400907 (Download)
- 1400909A (Download) 1400909B (Download), 1400909C (Download) Related papers for Fisher (Link), (Link), (Link)
- 1400914 (Download)
- 1400916 (Download)
- 1400921 (Download) a relevant Ref. (link)
- 1400923 (Download) a relevant Ref. (link)
- 1400928 (Download)
- 1400930 (Download)
- 1400105 (Download)
- 1400107 (Download)
- 14001014 (Download)
- 14001016 (Download)
- 14001021 (Download)
First midterm: 1400/09/04 Questions
Second midterm: 1400/10/09 Questions & sin.txt & CoV & Answerkey
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 (Download) x.txt & COV.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