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Dive into the research topics where Sergei Silvestrov is active.

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Featured researches published by Sergei Silvestrov.


international symposium on stochastic models in reliability engineering life science and operations management | 2016

Asymptotic Expansions for Stationary Distributions of Perturbed Semi-Markov Processes

Dmitrii Silvestrov; Sergei Silvestrov

New algorithms for computing asymptotic expansionsfor power moments of hitting times and stationary andquasi-stationary distributions of nonlinearly perturbed semi-Markov processes are presented. The algorithms are basedon special techniques of sequential phase space reduction, which can be applied to models with an arbitrary asymptoticcommunicative structure of phase spaces.


Archive | 2016

Fractional-Wavelet Analysis of Positive definite Distributions and Wavelets on D’(C)

Emanuel Guariglia; Sergei Silvestrov

In this chapter we describe a wavelet expansion theory for positive definite distributions over the real line and define a fractional derivative operator for complex functions in the distribution sense. In order to obtain a characterization of the complex fractional derivative through the distribution theory, the Ortigueira-Caputo fractional derivative operator (_{text {C}}text {D}^{alpha }) [13] is rewritten as a convolution product according to the fractional calculus of real distributions [8]. In particular, the fractional derivative of the Gabor–Morlet wavelet is computed together with its plots and main properties.


Archive | 2016

PageRank, a Look at Small Changes in a Line of Nodes and the Complete Graph

Christopher Engström; Sergei Silvestrov

In this article we will look at the PageRank algorithm used as part of the ranking process of different Internet pages in search engines by for example Google. This article has its main focus in the understanding of the behavior of PageRank as the system dynamically changes either by contracting or expanding such as when adding or subtracting nodes or links or groups of nodes or links. In particular we will take a look at link structures consisting of a line of nodes or a complete graph where every node links to all others. We will look at PageRank as the solution of a linear system of equations and do our examination in both the ordinary normalized version of PageRank as well as the non-normalized version found by solving corresponding linear system. We will show that using two different methods we can find explicit formulas for the PageRank of some simple link structures.


Engineering Mathematics II : Algebraic, Stochastic and Analysis Structures for Networks, Data Classification and Optimization | 2016

PageRank, Connecting a Line of Nodes with a Complete Graph

Christopher Engström; Sergei Silvestrov

This book highlights the latest advances in engineering mathematics with a main focus on the mathematical models, structures, concepts, problems and computational methods and algorithms most releva ...


Modern Problems in Insurance Mathematics | 2014

Generalisation of the Damping Factor in PageRank for Weighted Networks

Christopher Engström; Sergei Silvestrov

In this article we will look at the PageRank algorithm used to rank nodes in a network. While the method was originally used by Brin and Page to rank home pages in order of “importance”, since then many similar methods have been used for other networks such as financial or P2P networks. We will work with a non-normalised version of the usual PageRank definition which we will then generalise to enable better options, such as adapting the method or allowing more types of data. We will show what kind of effects the new options creates using examples as well as giving some thoughts on what it can be used for. We will also take a brief look at how adding new connections between otherwise unconnected networks can change the ranking.


Serbian Journal of Electrical Engineering | 2016

Application of the Multi-Peaked Analytically Extended Function to Representation of Some Measured Lightning Currents

Karl Lundengård; Milica Rancic; Vesna Javor; Sergei Silvestrov

A multi-peaked form of the analytically extended function (AEF) is used for approximation of lightning current waveforms in this paper. The AEF function’s parameters are estimated using the Marquardt least-squares method (MLSM), and the general procedure for fitting the p-peaked AEF function to a waveform with an arbitrary (finite) number of peaks is briefly described. This framework is used for obtaining parameters of 2-peaked waveforms typically present when measuring first negative stroke currents. Advantages, disadvantages and possible improvements of the approach are also discussed.


Acta Applicandae Mathematicae | 2018

On Generalized Walsh Bases

Dorin Ervin Dutkay; Gabriel Picioroaga; Sergei Silvestrov

This paper continues the study of orthonormal bases (ONB) of L2[0,1]


Archive | 2017

Nonlinearly Perturbed Semi-Markov Processes

Dimitrii Silvestrov; Sergei Silvestrov

L^{2}[0,1]


11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016; University of La RochelleLa Rochelle; France; 4 July 2016 through 8 July 2016 | 2017

Lie group analysis for MHD boundary layer flow and heat transfer over stretching sheet in presence of viscous dissipation and uniform heat source/sink

Prashant G. Metri; Emanuel Guariglia; Sergei Silvestrov

introduced in Dutkay et al. (J. Math. Anal. Appl. 409(2):1128–1139, 2014) by means of Cuntz algebra ON


international conference on telecommunication in modern satellite cable and broadcasting services | 2015

Measured electrostatic discharge currents modeling and simulation

Vesna Javor; Karl Lundengård; Milica Rancic; Sergei Silvestrov

mathcal{O}_{N}

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Karl Lundengård

Mälardalen University College

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Milica Rancic

Mälardalen University College

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Prashant G. Metri

Mälardalen University College

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Talat Nazir

COMSATS Institute of Information Technology

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Christopher Engström

Mälardalen University College

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Betuel Canhanga

Eduardo Mondlane University

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Anatoliy Malyarenko

Mälardalen University College

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Xiaomin Qi

Mälardalen University College

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