Search results for "Exponential function"

showing 10 items of 173 documents

MUTUAL INDUCTANCE FOR AN EXPLICITLY FINITE NUMBER OF TURNS

2011

Non coaxial mutual inductance calculations, based on a Bessel function formulation, are presented for coils modelled by an explicitly flnite number of circular turns. The mutual inductance of two such turns can be expressed as an integral of a product of three Bessel functions and an exponential factor, and it is shown that the exponential factors can be analytically summed as a simple geometric progression, or other related sums. This allows the mutual inductance of two thin solenoids to be expressed as an integral of a single analytical expression. Sample numerical results are given for some representative cases and the approach to the limit where the turns are considered to be smeared ou…

Mathematical analysisSolenoidDerivation of self inductanceCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsGeometric progressionExponential functionInductancesymbols.namesakesymbolsLimit (mathematics)Electrical and Electronic EngineeringFinite setBessel functionMathematicsProgress In Electromagnetics Research B
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Self-stabilizing Balls & Bins in Batches

2016

A fundamental problem in distributed computing is the distribution of requests to a set of uniform servers without a centralized controller. Classically, such problems are modelled as static balls into bins processes, where m balls (tasks) are to be distributed to n bins (servers). In a seminal work, [Azar et al.; JoC'99] proposed the sequential strategy Greedy[d] for n = m. When thrown, a ball queries the load of d random bins and is allocated to a least loaded of these. [Azar et al.; JoC'99] showed that d=2 yields an exponential improvement compared to d=1. [Berenbrink et al.; JoC'06] extended this to m ⇒ n, showing that the maximal load difference is independent of m for d=2 (in contrast…

Mathematical optimizationMarkov chainSelf-stabilization0102 computer and information sciencesNew variantExpected value01 natural sciencesBinExponential functionCombinatorics010104 statistics & probability010201 computation theory & mathematicsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYServerBall (bearing)0101 mathematicsMathematicsProceedings of the 2016 ACM Symposium on Principles of Distributed Computing
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Sharp generalized Trudinger inequalities via truncation

2006

Abstract We prove that the generalized Trudinger inequalities into exponential and double exponential Orlicz spaces improve to inequalities on Orlicz–Lorentz spaces provided they are stable under truncation.

Mathematics::Functional AnalysisLorentz spaceTruncationApplied MathematicsMathematical analysisDouble exponential functionMathematics::Classical Analysis and ODEsSobolev inequalitiesOrlicz spacesAnalysisExponential functionSobolev inequalityMathematicsJournal of Mathematical Analysis and Applications
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Method for Computing Scattering Matrices

2021

Chapter 4 presents statement and justification of a method for approximate computing a waveguide scattering matrix. As an approximation to a row of such a matrix, a minimizer of a quadratic functional is suggested. To construct the functional, one has to solve a boundary value problem in a bounded domain obtained by cutting off the cylindrical ends of the waveguide at distance R. The minimizer tends to the scattering matrix row at exponential rate as R increases to infinity.

Matrix (mathematics)ScatteringBounded functionMathematical analysisWaveguide (acoustics)Boundary value problemFredholm alternativeDomain (mathematical analysis)MathematicsExponential function
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Estimating rainfall erosivity by aggregated drop size distributions

2016

Rainfall erosivity is defined as the potential of the rain to cause erosion, and it can be represented by rainfall kinetic power. At first in this paper, the raindrop size distributions (DSD) measured by an optical disdrometer located at Palermo in the period June 2006–March 2014 and aggregated for intensity classes, are presented. Then an analysis of raindrop size characteristics is carried out, and the reliability of Ulbrich's distribution, using both the maximum likelihood and momentum estimate parameter methods, is tested. The raindrop size measurements are used to determine the experimental rainfall kinetic power values, which are compared with the ones calculated by a theoretically de…

Momentum (technical analysis)Drop size010504 meteorology & atmospheric sciencesMeteorology0208 environmental biotechnology02 engineering and technologyKinetic energy01 natural sciences020801 environmental engineeringExponential functionDisdrometerDistribution (mathematics)ErosionIntensity (heat transfer)0105 earth and related environmental sciencesWater Science and TechnologyMathematicsHydrological Processes
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Higher order Peregrine breathers solutions to the NLS equation

2015

The solutions to the one dimensional focusing nonlinear Schrödinger equation (NLS) can be written as a product of an exponential depending on t by a quotient of two polynomials of degree N (N + 1) in x and t. These solutions depend on 2N − 2 parameters : when all these parameters are equal to 0, we obtain the famous Peregrine breathers which we call PN breathers. Between all quasi-rational solutions of the rank N fixed by the condition that its absolute value tends to 1 at infinity and its highest maximum is located at the point (x = 0, t = 0), the PN breather is distinguished by the fact that PN (0, 0) = 2N + 1. We construct Peregrine breathers of the rank N explicitly for N ≤ 11. We give …

NLS equationHistoryDegree (graph theory)BreatherPeregrine breathersMathematical analysis[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]rogue wavesAbsolute value (algebra)Rank (differential topology)Computer Science ApplicationsEducationExponential functionsymbols.namesake[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]symbolsOrder (group theory)[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]PACS numbers : 33Q55 37K10 47.10A- 47.35.Fg 47.54.BdNonlinear Schrödinger equationQuotientMathematicsMathematical physicsJournal of Physics: Conference Series
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Hierarchy of solutions to the NLS equation and multi-rogue waves.

2014

The solutions to the one dimensional focusing nonlinear Schrödinger equation (NLS) are given in terms of determinants. The orders of these determinants are arbitrarily equal to 2N for any nonnegative integer $N$ and generate a hierarchy of solutions which can be written as a product of an exponential depending on t by a quotient of two polynomials of degree N(N+1) in x and t. These solutions depend on 2N-2 parameters and can be seen as deformations with 2N-2 parameters of the Peregrine breather P_{N} : when all these parameters are equal to 0, we recover the P_{N} breather whose the maximum of the module is equal to 2N+1. Several conjectures about the structure of the solutions are given.

NLS equationHistorywronskiansDegree (graph theory)Breatherrogue waves.Mathematical analysisPeregrine breathers[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]rogue waves33Q55 37K10 47.10A- 47.35.Fg 47.54.BdComputer Science ApplicationsEducationExponential functionsymbols.namesakeInteger[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]Product (mathematics)symbols[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Rogue waveNonlinear Schrödinger equationQuotientMathematics
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Exponential synchronization of master-slave neural networks with time-delays

2009

This paper establishes an exponential H ∞ synchronization method for a class of master and slave neural networks (MSNNs) with mixed time-delays, where the delays comprise different neutral, discrete and distributed time-delays and the class covers the Lipschitz-type nonlinearity case. By introducing a novel discretized Lyapunov-Krasovskii functional in order to minimize the conservatism in the stability problem of the system and also using some free weighting matrices, new delay-dependent sufficient conditions are derived for designing a delayed state-feedback control as a synchronization law in terms of linear matrix inequalities (LMIs). The controller guarantees the exponential H ∞ synchr…

Nonlinear systemArtificial neural networkDiscretizationControl and Systems EngineeringControl theorySynchronization (computer science)Master/slaveMathematicsWeightingExponential function2009 European Control Conference (ECC)
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Six Matrix Adjustment Problems Solved by Some Fundamental Theorems on Biproportion

2011

After defining biproportion (or RAS) rigorously, we recall two fundamental theorems: unicity of biproportion (any biproportional algorithm leads to the same solution than biproportion, which turns biproportion into a mathematical tool as indisputable than proportion), ineffectiveness of separability (premultiplying or post multiplying the initial matrix by a diagonal matrix does not change the biproportional solution) and its corollary (it is equivalent to do a separable modification of the initial matrix or to do a proportional change of each biproportional factors). We then apply these theorems to show immediately that: i) no difficulties are encountered when solving the biproportional pr…

Normalization (statistics)Matrix (mathematics)CorollaryDiagonal matrixMathematical analysisEntropy (information theory)Applied mathematicsMathematicsSeparable spaceExponential functionSSRN Electronic Journal
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Step-by-step integration for fractional operators

2018

Abstract In this paper, an approach based on the definition of the Riemann–Liouville fractional operators is proposed in order to provide a different discretisation technique as alternative to the Grunwald–Letnikov operators. The proposed Riemann–Liouville discretisation consists of performing step-by-step integration based upon the discretisation of the function f(t). It has been shown that, as f(t) is discretised as stepwise or piecewise function, the Riemann–Liouville fractional integral and derivative are governing by operators very similar to the Grunwald–Letnikov operators. In order to show the accuracy and capabilities of the proposed Riemann–Liouville discretisation technique and th…

Numerical AnalysisDiscretizationApplied Mathematics02 engineering and technologyFunction (mathematics)DerivativeWhite noise01 natural sciences010305 fluids & plasmasExponential functionFractional calculus020303 mechanical engineering & transports0203 mechanical engineeringModeling and SimulationStep function0103 physical sciencesPiecewiseApplied mathematicsFractional Calculus Riemman–Liouville Grünwald–Letnikov Discrete fractional operatorsMathematics
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