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The art of solving problems with Monte Carlo simulations


The Go programming language is deemed to be
the most promising programming language today due to its speed and simplicity, and I recommend you to at least get acquainted with it.
Quick Introduction
Generally speaking, Monte Carlo methods (or simulations) consist of a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. This technique is used throughout areas such as physics, finance, engineering, project management, insurance, and transportation, where a numerical result is needed and the underlying theory is difficult and/or unavailable.
It was invented by John von Neumann, Stanisław Ulam, and Nicholas Metropolis, who were employed on a secret assignment in the Los Alamos National Laboratory, while working on a nuclear weapon project called the Manhattan Project. It was named after a well-known casino town called Monaco, since chance and randomness are core to the modeling approach, similar to a game of roule ....

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Hosam M. Mahmoud - Editorial Board - Scientific Research Publishing


Mahmoud, H. (2000).  Sorting: A Distribution Theory. Wiley,
New York
Mahmoud, H. (2008). Polya Models. Chapman-Hall, Florida
Journals
Mahmoud, H. and Pittel, B. (1989). Analysis of the space of search trees
under the random insertion algorithm.
Journal of Algorithms, 10,
52-75.
Mahmoud, H. (1994). A strong law for the height of random binary pyramids.
The
Annals of Applied Probability, 4, 923-932.
Fill, J., Mahmoud, H. and Szpankowski, W. (1996). On the distribution for
the duration of a randomized leader election algorithm.
The Annals of
Applied Probability, 6, 1260-1283.
Mahmoud, H. (2003). Mixed distributions in Sattolo s algorithm for cyclic
permutations via randomization and derandomization.
Journal of Applied
Probability, 40, 790-796.
Mahmoud, H. (2008). Imbalance in random digital trees. ....

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How I Got a Computer Science Degree in 3 Months for Less Than $5000


December 18, 2020  
This is the story of how I prepared for a decade to graduate in 3 months.
In 2012, I dropped out of college, where I was studying computer science, after just one semester. I already knew how to program and I thought I’d never need a degree.
Over the years, I found myself complaining a lot about it. I saw many opportunities, especially abroad, that were out of reach because I didn’t have the required papers. I felt ready for graduate school but couldn’t get admitted. I had to work harder to prove myself to employers. Although I never noticed any serious gap in my knowledge, I felt that something was missing. I started to resent my decision. ....

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