Search results for "Mathematica"

showing 10 items of 7971 documents

On the Background to Hilbert’s Paris Lecture “Mathematical Problems”

2018

Much has been written about the famous lecture on “Mathematical Problems” (Hilbert 1901) that David Hilbert delivered at the Second International Congress of Mathematicians, which took place in Paris during the summer of 1900 (Alexandrov 1979; Browder 1976). Not that the event itself evoked such great interest, nor have many writers paid particularly close attention to what Hilbert had to say on that occasion. What mattered – both for the text and the larger context – came afterward. Mathematicians remember ICM II and Hilbert’s role in it for just one reason: this was the occasion when he unveiled a famous list of 23 problems, a challenge to those who wished to make names for themselves in …

symbols.namesakeHistoryMathematical problemInternational congressHilbert's problemssymbolsROWEGray (unit)Classics
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On Taylor coefficients of entire functions integrable against exponential weights

2001

symbols.namesakeIntegrable systemGeneral MathematicsEntire functionMathematical analysisTaylor seriessymbolsTaylor coefficientsExponential functionMathematics
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A New Family of Deformations of Darboux-Pöschl-Teller Potentials

2004

The aim of this Letter is to present a new family of integrable functional-difference deformations of the Schrodinger equation with Darboux–Poschl–Teller potentials. The related potentials are labeled by two integers m and n, and also depend on a deformation parameter h. When h→ 0 the classical Darboux–Poschl–Teller model is recovered.

symbols.namesakeIntegrable systemMathematical analysissymbolsComplex systemMathematics::Mathematical PhysicsStatistical and Nonlinear PhysicsDeformation (meteorology)Mathematical PhysicsSchrödinger equationMathematicsMathematical physicsLetters in Mathematical Physics
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A Method of Conversion of some Coefficient Inverse Parabolic Problems to a Unified Type of Integral-Differential Equation

2011

Coefficient inverse problems are reformulated to a unified integral differential equation. The presented method of conversion of the considered inverse problems to a unified Volterra integral-differential equation gives an opportunity to distribute the acquired results also to analogous inverse problems for non-linear parabolic equations of different types.

symbols.namesakeInverse scattering transformDifferential equationMathematical analysisInverse scattering problemGeneral EngineeringsymbolsInverseInverse problemIntegral equationVolterra integral equationParabolic partial differential equationMathematicsAdvanced Materials Research
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Rectifiability and singular integrals

1995

symbols.namesakeMathematical analysisPrincipal valueEuclidean geometrysymbolsMaximal functionPoint (geometry)GeometryHardy–Littlewood maximal functionHilbert transformSingular integralMeasure (mathematics)Mathematics
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Representation of Stationary Multivariate Gaussian Processes Fractional Differential Approach

2011

In this paper, the fractional spectral moments method (H-FSM) is used to generate stationary Gaussian multivariate processes with assigned power spectral density matrix. To this aim, firstly the N-variate process is expressed as sum of N fully coherent normal random vectors, and then, the representation in terms of HFSM is used.

symbols.namesakeMathematical analysissymbolsRepresentation (systemics)Applied mathematicsMultivariate normal distributionMultivariate Processes Fractional Calculus Fractional Spectral MomentsFractional differentialSettore ICAR/08 - Scienza Delle CostruzioniGaussian processMathematicsProceedings of the 6th International Conference on Computational Stochastic Mechanics(CSM-6)
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Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-armed Bandit Problems

2013

Recent multi-armed bandit based optimization schemes provide near-optimal balancing of arm exploration against arm exploitation, allowing the optimal arm to be identified with probability arbitrarily close to unity. However, the convergence speed drops dramatically as the number of bandit arms grows large, simply because singling out the optimal arm requires experimentation with all of the available arms. Furthermore, effective exploration and exploitation typically demands computational resources that grow linearly with the number of arms. Although the former problem can be remedied to some degree when prior knowledge about arm correlation is available, the latter problem persists. In this…

symbols.namesakeMathematical optimizationComputer scienceNash equilibriumMulti-agent systemsymbolsSampling (statistics)Game theoryThompson samplingMulti-armed bandit2013 12th International Conference on Machine Learning and Applications
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An Improved Method for Estimating the Time ACF of a Sum of Complex Plane Waves

2010

Time averaging is a well-known technique for evaluating the temporal autocorrelation function (ACF) from a sample function of a stochastic process. For stochastic processes that can be modelled as a sum of plane waves, it is shown that the ACF obtained by time averaging can be expressed as a sum of auto-terms (ATs) and cross-terms (CTs). The ATs result from the autocorrelation of the individual plane waves, while the CTs are due to the cross-correlation between different plane wave components. The CTs cause an estimation error of the ACF. This estimation error increases as the observation time decreases. For the practically important case that the observation time interval is limited, we pr…

symbols.namesakeMathematical optimizationFourier transformStochastic processKernel (statistics)AutocorrelationMathematical analysisPlane wavesymbolsInterval (mathematics)Frequency modulationComplex planeMathematics2010 IEEE Global Telecommunications Conference GLOBECOM 2010
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Parallel Genetic Solution for Multiobjective MDO

1997

Publisher Summary This chapter reviews a multiobjective, multidisciplinary design optimization of two-dimensional airfoil designs. The control points on leading and trailing edges remain fixed, and the y-coordinates of the other control points are allowed to change during the optimization process. The grid for the Euler solver depends continuously and smoothly on the design parameters. The number of nodes and elements in the mesh might vary according to design because the meshes for the Helmholtz solver are done using the local fitting. The computations are made on an IBM SP2 parallel computer using high-performance switch and the MPICH message-passing library. As gradients are not required…

symbols.namesakeMathematical optimizationMPICHMultidisciplinary design optimizationHelmholtz free energyConvergence (routing)symbolsPolygon meshShape optimizationSolverGridMathematics
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Weak Maximum Principle and Application to Swimming at Low Reynolds Number

2018

We refer to [9, 42, 46] for more details about the general concepts and notations introduced in this section.

symbols.namesakeMaximum principleSection (archaeology)Mathematical analysissymbolsReynolds numberMathematics
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