The document discusses the author's experience and qualifications for a potential job or research opportunity. Specifically, it covers:
1) The author's educational background in physics and mathematics in Russia and experience programming in C/C++ and MATLAB.
2) Their master's research on using MATLAB to model plasma density and current measurements, including developing algorithms and GUI tools.
3) Their plans to soon publish their master's thesis, pass remaining exams, and desire to continue research for a PhD with a focus on continuum mechanics.
Numerical Study of Some Iterative Methods for Solving Nonlinear Equationsinventionjournals
In this paper we introduce, numerical study of some iterative methods for solving non linear equations. Many iterative methods for solving algebraic and transcendental equations is presented by the different formulae. Using bisection method , secant method and the Newton’s iterative method and their results are compared. The software, matlab 2009a was used to find the root of the function for the interval [0,1]. Numerical rate of convergence of root has been found in each calculation. It was observed that the Bisection method converges at the 47 iteration while Newton and Secant methods converge to the exact root of 0.36042170296032 with error level at the 4th and 5th iteration respectively. It was also observed that the Newton method required less number of iteration in comparison to that of secant method. However, when we compare performance, we must compare both cost and speed of convergence [6]. It was then concluded that of the three methods considered, Secant method is the most effective scheme. By the use of numerical experiments to show that secant method are more efficient than others.
string searching algorithms. Given two strings P and T over the same alphabet E, determine whether P occurs as a substring in T (or find in which position(s) P occurs as a substring in T). The strings P and T are called pattern and target respectively.
(If visualization is slow, please try downloading the file.)
Part 2 of a tutorial given in the Brazilian Physical Society meeting, ENFMC. Abstract: Density-functional theory (DFT) was developed 50 years ago, connecting fundamental quantum methods from early days of quantum mechanics to our days of computer-powered science. Today DFT is the most widely used method in electronic structure calculations. It helps moving forward materials sciences from a single atom to nanoclusters and biomolecules, connecting solid-state, quantum chemistry, atomic and molecular physics, biophysics and beyond. In this tutorial, I will try to clarify this pathway under a historical view, presenting the DFT pillars and its building blocks, namely, the Hohenberg-Kohn theorem, the Kohn-Sham scheme, the local density approximation (LDA) and generalized gradient approximation (GGA). I would like to open the black box misconception of the method, and present a more pedagogical and solid perspective on DFT.
Numerical Study of Some Iterative Methods for Solving Nonlinear Equationsinventionjournals
In this paper we introduce, numerical study of some iterative methods for solving non linear equations. Many iterative methods for solving algebraic and transcendental equations is presented by the different formulae. Using bisection method , secant method and the Newton’s iterative method and their results are compared. The software, matlab 2009a was used to find the root of the function for the interval [0,1]. Numerical rate of convergence of root has been found in each calculation. It was observed that the Bisection method converges at the 47 iteration while Newton and Secant methods converge to the exact root of 0.36042170296032 with error level at the 4th and 5th iteration respectively. It was also observed that the Newton method required less number of iteration in comparison to that of secant method. However, when we compare performance, we must compare both cost and speed of convergence [6]. It was then concluded that of the three methods considered, Secant method is the most effective scheme. By the use of numerical experiments to show that secant method are more efficient than others.
string searching algorithms. Given two strings P and T over the same alphabet E, determine whether P occurs as a substring in T (or find in which position(s) P occurs as a substring in T). The strings P and T are called pattern and target respectively.
(If visualization is slow, please try downloading the file.)
Part 2 of a tutorial given in the Brazilian Physical Society meeting, ENFMC. Abstract: Density-functional theory (DFT) was developed 50 years ago, connecting fundamental quantum methods from early days of quantum mechanics to our days of computer-powered science. Today DFT is the most widely used method in electronic structure calculations. It helps moving forward materials sciences from a single atom to nanoclusters and biomolecules, connecting solid-state, quantum chemistry, atomic and molecular physics, biophysics and beyond. In this tutorial, I will try to clarify this pathway under a historical view, presenting the DFT pillars and its building blocks, namely, the Hohenberg-Kohn theorem, the Kohn-Sham scheme, the local density approximation (LDA) and generalized gradient approximation (GGA). I would like to open the black box misconception of the method, and present a more pedagogical and solid perspective on DFT.
Quantum algorithm for solving linear systems of equationsXequeMateShannon
Solving linear systems of equations is a common problem that arises both on its own and as a subroutine in more complex problems: given a matrix A and a vector b, find a vector x such that Ax=b. We consider the case where one doesn't need to know the solution x itself, but rather an approximation of the expectation value of some operator associated with x, e.g., x'Mx for some matrix M. In this case, when A is sparse, N by N and has condition number kappa, classical algorithms can find x and estimate x'Mx in O(N sqrt(kappa)) time. Here, we exhibit a quantum algorithm for this task that runs in poly(log N, kappa) time, an exponential improvement over the best classical algorithm.
The best known deterministic polynomial-time algorithm for primality testing right now is due to
Agrawal, Kayal, and Saxena. This algorithm has a time complexity O(log15=2(n)). Although this algorithm is
polynomial, its reliance on the congruence of large polynomials results in enormous computational requirement.
In this paper, we propose a parallelization technique for this algorithm based on message-passing
parallelism together with four workload-distribution strategies. We perform a series of experiments on an
implementation of this algorithm in a high-performance computing system consisting of 15 nodes, each with
4 CPU cores. The experiments indicate that our proposed parallelization technique introduce a significant
speedup on existing implementations. Furthermore, the dynamic workload-distribution strategy performs
better than the others. Overall, the experiments show that the parallelization obtains up to 36 times speedup.
Here i discuss 3 algorithm about String matching.
Those algorithm are:
1. The naive algorithm.
2. The Rabin-Krap algorithm.
3. The Knuth-Morris-Pratt algorithm.
i hope,by readinng this slide, it is easy to undarstand those algorithm.
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...Claudio Attaccalite
Neutral Electronic Excitations: a Many-body approach to the optical absorption spectra.
Introduction to Bethe-Salpeter equation and linear response theory.
(If visualization is slow, please try downloading the file.)
Part 1 of a tutorial given in the Brazilian Physical Society meeting, ENFMC. Abstract: Density-functional theory (DFT) was developed 50 years ago, connecting fundamental quantum methods from early days of quantum mechanics to our days of computer-powered science. Today DFT is the most widely used method in electronic structure calculations. It helps moving forward materials sciences from a single atom to nanoclusters and biomolecules, connecting solid-state, quantum chemistry, atomic and molecular physics, biophysics and beyond. In this tutorial, I will try to clarify this pathway under a historical view, presenting the DFT pillars and its building blocks, namely, the Hohenberg-Kohn theorem, the Kohn-Sham scheme, the local density approximation (LDA) and generalized gradient approximation (GGA). I would like to open the black box misconception of the method, and present a more pedagogical and solid perspective on DFT.
The string matching problem is a classic of algorithms. In this class, we only look at the Rabin-Karpp algorithm as a classic example of the string matching algorithms
Quantum algorithm for solving linear systems of equationsXequeMateShannon
Solving linear systems of equations is a common problem that arises both on its own and as a subroutine in more complex problems: given a matrix A and a vector b, find a vector x such that Ax=b. We consider the case where one doesn't need to know the solution x itself, but rather an approximation of the expectation value of some operator associated with x, e.g., x'Mx for some matrix M. In this case, when A is sparse, N by N and has condition number kappa, classical algorithms can find x and estimate x'Mx in O(N sqrt(kappa)) time. Here, we exhibit a quantum algorithm for this task that runs in poly(log N, kappa) time, an exponential improvement over the best classical algorithm.
The best known deterministic polynomial-time algorithm for primality testing right now is due to
Agrawal, Kayal, and Saxena. This algorithm has a time complexity O(log15=2(n)). Although this algorithm is
polynomial, its reliance on the congruence of large polynomials results in enormous computational requirement.
In this paper, we propose a parallelization technique for this algorithm based on message-passing
parallelism together with four workload-distribution strategies. We perform a series of experiments on an
implementation of this algorithm in a high-performance computing system consisting of 15 nodes, each with
4 CPU cores. The experiments indicate that our proposed parallelization technique introduce a significant
speedup on existing implementations. Furthermore, the dynamic workload-distribution strategy performs
better than the others. Overall, the experiments show that the parallelization obtains up to 36 times speedup.
Here i discuss 3 algorithm about String matching.
Those algorithm are:
1. The naive algorithm.
2. The Rabin-Krap algorithm.
3. The Knuth-Morris-Pratt algorithm.
i hope,by readinng this slide, it is easy to undarstand those algorithm.
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...Claudio Attaccalite
Neutral Electronic Excitations: a Many-body approach to the optical absorption spectra.
Introduction to Bethe-Salpeter equation and linear response theory.
(If visualization is slow, please try downloading the file.)
Part 1 of a tutorial given in the Brazilian Physical Society meeting, ENFMC. Abstract: Density-functional theory (DFT) was developed 50 years ago, connecting fundamental quantum methods from early days of quantum mechanics to our days of computer-powered science. Today DFT is the most widely used method in electronic structure calculations. It helps moving forward materials sciences from a single atom to nanoclusters and biomolecules, connecting solid-state, quantum chemistry, atomic and molecular physics, biophysics and beyond. In this tutorial, I will try to clarify this pathway under a historical view, presenting the DFT pillars and its building blocks, namely, the Hohenberg-Kohn theorem, the Kohn-Sham scheme, the local density approximation (LDA) and generalized gradient approximation (GGA). I would like to open the black box misconception of the method, and present a more pedagogical and solid perspective on DFT.
The string matching problem is a classic of algorithms. In this class, we only look at the Rabin-Karpp algorithm as a classic example of the string matching algorithms
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
NP completeness. Classes P and NP are two frequently studied classes of problems in computer science. Class P is the set of all problems that can be solved by a deterministic Turing machine in polynomial time.
I am Charles B. I am an Algorithm Assignment Expert at programminghomeworkhelp.com. I hold a Ph.D. in Programming, Texas University, USA. I have been helping students with their homework for the past 6 years. I solve assignments related to Algorithms.
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Master Thesis on the Mathematial Analysis of Neural NetworksAlina Leidinger
Master Thesis submitted on June 15, 2019 at TUM's chair of Applied Numerical Analysis (M15) at the Mathematics Department.The project was supervised by Prof. Dr. Massimo Fornasier. The thesis took a detailed look at the existing mathematical analysis of neural networks focusing on 3 key aspects: Modern and classical results in approximation theory, robustness and Scattering Networks introduced by Mallat, as well as unique identification of neural network weights. See also the one page summary available on Slideshare.
I am Frank G. I am an Algorithm Homework Expert at programminghomeworkhelp.com. I hold in Programming from, the University of Waterloo, Canada. I have been helping students with their homework for the past 12 years. I solve homework related to Algorithms.
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In the quest of improving the quality of education, Flexudy leverages the
power of AI to help people learn more efficiently.
During the talk, I will show how we trained an automatic extractive text
summarizer based on concepts from Reinforcement Learning, Deep Learning and Natural Language Processing. Also, I will talk about how we use pre-trained NLP models to generate simple questions for self-assessment.
I am Joanna R. I am a Programming Exam Expert at programmingexamhelp.com. I hold a Bachelor of Information Technology from, California Institute of Technology, United States. I have been helping students with their exams for the past 11 years. You can hire me to take your exam in Programming.
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1. · Умение по-английски рассказать о себе, о своем опыте, о целях/пожеланиях к работе
· Рассказать по-английски про опыт работы на MATLAB, список реализованных проектов, какие тулбоксы
использовали, визуализация, интерфейсы, и т.д.
· Рассказать по-английски про свою научную деятельность, важные опубликованные статьи, выступления
на конференциях, рассказать про суть своей дипломной работы, о планах по защите диссертации.
I finished gymnasium #5 here in Novosibirsk in class of Mathematics and Physics. Then I passed entrance
(preliminary) examination to NSU Physics Department. First 2 courses I wasn’t a conspicuous person, and
electromagnetism was attracting me.
I was successful in C/C++ programming during NSU courses and managed to apply and improve my skills in free time.
So, firstly I created a program that solves some puzzle-game called ‘aqua-splash’ by kado-kado. It was chosen
because it had no time limit. But that game was written on flash, so initial data input was manual. Also, I created a
GUI based on opengl to visualize numeric experiments results at the course of computational mathematics. That
dynamic GUI could draw a plot of function, vary scale, print a screenshot to file, interact with mouse to show any
data plot point. This course contained difference schemes on some differential equations. So, applied methods were
realized in Visual Studio using class of matrix in order to simplify code. I managed to create own class of matrixes
with number of functions such as invert, transpose and determinant using operator overloading. Also, I defined a
series of operator like addition, subtraction, multiplication. And, I should say that my standard method to calculate
the determinant was more powerful than one used in Mathcad.
On third course continuum physics was lectured. I noticed that major part of students didn’t like it at all. But I was
fascinated by that subject, therefore, I felt like I should pick this subject as my future specialty. That’s why I asked
A.D. Beklemishev the lecturer of this course to be my scientific advisor. He was interested in my marks on specific
subjects, asked some teachers to characterize me and later after next lecture he approved (admitted) me. He
introduced to me the extremely significant to Plasma Laboratory task to recover the plasma density of high energy
ions on their diamagnetic current measurements and inquired if I’m interested in. That was the initial point of our
collaboration work. And my scientific advisor insisted on using matlab to programming as according to him this
computing environment is broadly used by scientists all over the world. Despite I used to C/C++ programming, from
that moment I started to learn Matlab.
He told me that on the Gas Dynamic Trap and GOL-3 (I guess there is no precise translation of this abbreviation to
English, but verbatim translation is ‘corrugate (or goffered) open trap(cylinder multi-mirror trap)) experiments are
carried out on plasma heating and confining with high gyro radius, which corresponds to distance of 1/3 to ½ of
plasma flux. As it has appeared later, there is no theory to describe the plasma through angular current of high gyro
radius particles. Thus, this work was counted to be perspective.
Firstly, the pattern of my thesis was following: in the infinite length cylinder of radius R with the longitudinal
homogeneous magnetic field Bz particles are maintaining with same mass m and energy E possessing longitudinal
velocity v_long and transversal v_tr relative to axis of cylinder. Apparently, if model describes only stationary
solution, there should be a connection between n(r) and j(r) in such configuration (can ask to draw a plot), but at
current point there is no any value obtained by experiments carried out to determine a link. Thus, we introduced an
artificial weight function called F(r_+), where r_+ is maximum deviation of single particle of plasma flux with
arbitrary initial data. This function is charged to be a common function in integral expressions for n(r) and j(r) and
cannot be measured.
n(r ) F ( x )G( x, x )dx
2.
j (r ) F ( x )G( x, x )dx
(demonstrate a domain of G(r,r_+), function G(r_k,r_+), vertical asymptotes to curve, Tailor series idea, delta
choosing )
Therefore, an inverse problem should be solved to achieve the goal of the thesis.
I should make a remark here that in case of homogeneous magnetic field to find the integral core G(x,x_+) there was
applied a method of averaging the precise particle position. And we made a transition to heterogeneous magnetic
field, and there was used a Lagrange mechanics approach to find required values expressions for v_long and v_trans.
And, particularly, the polynomial interpolation of experimental magnetic field data points was done(curve fitting
toolbox).
If, as it was suggested, diamagnetic current j(r) values are known in some array r_1 .. r_N values measured by an
experiment ,then we can decompose F(r_+) trough P basis polynomials with unknown multipliers C_i. Then,
following system of equations is true:
j1 (r1 ) j P (r1 ) C1 j (r1 )
j (r ) j P (rN ) C P j (rN )
1 N
This system of equation was solved by matlab function linsolve in editor. Results for low and high energies were
extremely precise. But, at the moment after defending the bachelor’s thesis I had no publications. I had at least 4
speeches on Plasma Laboratory local seminars for senior researchers. And every time there was the same comment:
«It’s known that distribution function of hot ions is quite heterogeneous, but in your work it is constant. When and
how will you take this distribution function into consideration? ». That was the main reason I have no publications.
My scientific advisor convinced me that Plasma Laboratory is not interested in publishing this work at current state. I
was really disappointed by these news, but I just sighed and that how was started work on master’s thesis. Today,
the theory actually takes into consideration hot ion distribution function and now it can resolve this analogue inverse
problem with high precision, but, certainly, model has sophisticated. And GUI has been done as well, 1 mouse click is
needed to launch the program with default parameters. I made it by gui Development Environment in
matlab(toolbox). Currently I am finishing the master’s thesis and then I going to publish it immediately after all
corrections my scientific advisor will find there.
For this studying year, I have to make a publishing, as I said, pass 3 remaining subjects exams, and defend my
reviewed master’s thesis. So, I will have a plenty of free time in nearest future.
I really enjoy the continuum mechanics and want to spend more time on it with higher salary. And I would certainly
take an opportunity to continue intensive learning English and obtain PhD degree.