Search results for "MATHEMATICS"

showing 10 items of 22031 documents

Scattering of Co-Current Surface Waves on an Analogue Black Hole

2018

We report on what is to our knowledge the first scattering experiment of surface waves on an accelerating transcritical flow, which in the analogue gravity context is described by an effective spacetime with a black-hole horizon. This spacetime has been probed by an incident co-current wave, which partially scatters into an outgoing countercurrent wave on each side of the horizon. The measured scattering amplitudes are compatible with the predictions of the hydrodynamical theory, where the kinematical description in terms of the effective metric is exact.

surface: deformationGeneral Physics and AstronomyFOS: Physical sciencesContext (language use)General Relativity and Quantum Cosmology (gr-qc)black hole: horizonGravitation and Astrophysics01 natural sciences7. Clean energyGeneral Relativity and Quantum CosmologyGeneral Relativity and Quantum Cosmology0103 physical scienceswave: scatteringsurfaceeffect: Hawkingcorrelation function010306 general physicsPhysicsSpacetimeScatteringHorizonFluid Dynamics (physics.flu-dyn)Physics - Fluid Dynamics[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Scattering amplitudeBlack holeFlow (mathematics)space-timeSurface waveQuantum electrodynamics[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]
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Automatic surrogate modelling technique selection based on features of optimization problems

2019

A typical scenario when solving industrial single or multiobjective optimization problems is that no explicit formulation of the problem is available. Instead, a dataset containing vectors of decision variables together with their objective function value(s) is given and a surrogate model (or metamodel) is build from the data and used for optimization and decision-making. This data-driven optimization process strongly depends on the ability of the surrogate model to predict the objective value of decision variables not present in the original dataset. Therefore, the choice of surrogate modelling technique is crucial. While many surrogate modelling techniques have been discussed in the liter…

surrogate modellingOptimization problemexploratory landscape analysisbusiness.industryComputer scienceautomatic algorithm selection0102 computer and information sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesmonitavoiteoptimointiSurrogate modeloptimointi010201 computation theory & mathematicsalgoritmit0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessClassifier (UML)computer
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The optimisation of sampling design

2013

Elektroniskā versija nesatur pielikumus

survey cost estimationizmaksu efektivitātecost efficiencyMatemātikasurvey methodologynovērtētāju dispersijaizlases apsekojumu metodoloģijaapsekojumu izmaksu novērtējumssimulāciju eksperimentssimulation studyvariance estimationMathematics
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MUV: A Game to Encourage Sustainable Mobility Habits

2019

This working paper investigates the question of changing people mobility towards more sustainable habits involving them in an engaging gameplay. The work is performed within MUV H2020 research and innovation action. The game design, definition and features have been co-created through the involvement of different citizens and stakeholders in six European neighbourhoods. The paper discusses the game design as resulting from co-creation and co-design experiences with each neighbourhood communities involved in initial phases. The paper argues that the local co-design activities have influenced the game definition, together with the community engagement approach. The MUV gameplay approach resul…

sustainable urban mobilityCo-creation; Community engagement; Gamification; Urban sustainable mobility; Theoretical Computer Science; Computer Science (all)community engagementEconomic JusticeTheoretical Computer ScienceGame design11. Sustainability0502 economics and businessSettore ICAR/13 - Disegno IndustrialeCo-creationgamificationSociologyNeighbourhood (mathematics)060201 languages & linguistics050210 logistics & transportationSettore ICAR/20 - Tecnica E Pianificazione UrbanisticaCommunity engagementbusiness.industryCo-creationCommunity engagementComputer Science (all)05 social sciencesEquity (finance)06 humanities and the artsPublic relationsGamificationWork (electrical)Action (philosophy)0602 languages and literatureUrban sustainable mobilitybusinessco-creation
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Towards Robust Adaptive Least-Squares Parameter Estimation with Internal Feedback

1998

Abstract The new concepts of the ‘covariance matrix normalization’ and the ‘cascade’ structure of the adaptive least-squares estimator are shown to generalize and extend the use of internal information feedback in various robustness/alertness-oriented modifications to the standard ALS estimation algorithm. In the cascade estimation structure it is possible to ‘naturally’ stabilize, rather than maximize, the information matrix so that the covariance windup and blowup are effectively eliminated and the celebrated square root update of the covariance matrix is no longer needed Consequently, a new, ‘single-loop/cascade’ ALS MIMO estimation algorithm, enabling to effectively track both slow and …

symbols.namesakeAdaptive controlEstimation theoryCovariance matrixControl theoryAdaptive systemMIMOsymbolsEstimatorCovarianceFisher informationMathematicsIFAC Proceedings Volumes
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Hysteretic Systems Subjected to Delta Correlated Input

1994

The paper deals with the evaluation of the probabilistic response of a single degree of freedom elastic-perfectly plastic system subjected to a delta correlated input process. The probabilistic characterisation of the response is here obtained by considering the accumulated plastic deformations as a compound homogeneous Poisson process independent of the external input. In this case the former can be considered as an external noise acting on the linear system. A closed form solution is also obtained and the analytic expression is compared with the customary Monte-Carlo method.

symbols.namesakeAnalytical expressionsMathematical analysisLinear systemsymbolsProbabilistic logicProcess (computing)Poisson processExternal noiseClosed-form expressionSingle degree of freedomMathematics
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Representing compact sets of compact operators and of compact range vector measures

1987

symbols.namesakeApproximation propertyNuclear operatorGeneral MathematicsHilbert spacesymbolsFinite-rank operatorCompact operatorTopologyInvariant subspace problemContinuous functions on a compact Hausdorff spaceCompact operator on Hilbert spaceMathematicsArchiv der Mathematik
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On the asymptotic behaviour of gaussian spherical integrals

1983

symbols.namesakeAsymptotic analysisSlater integralsGaussianMathematical analysissymbolsAsymptotic expansionGaussian measureSeparable hilbert spaceMathematicsGaussian random field
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Stationary and Nontationary Response Probability Density Function of a Beam under Poisson White Noise

2011

In this paper an approximate explicit probability density function for the analysis of external oscillations of a linear and geometric nonlinear simply supported beam driven by random pulses is proposed. The adopted impulsive loading model is the Poisson White Noise , that is a process having Dirac’s delta occurrences with random intensity distributed in time according to Poisson’s law. The response probability density function can be obtained solving the related Kolmogorov-Feller (KF) integro-differential equation. An approximated solution, using path integral method, is derived transforming the KF equation to a first order partial differential equation. The method of characteristic is the…

symbols.namesakeCharacteristic function (probability theory)Cumulative distribution functionMathematical analysissymbolsFirst-order partial differential equationProbability distributionProbability density functionWhite noiseMoment-generating functionPoisson distributionMathematics
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Singular tori as attractors of four-wave-interaction systems

2009

We study the spatiotemporal dynamics of the Hamiltonian four-wave interaction in its counterpropagating configuration. The numerical simulations reveal that, under rather general conditions, the four-wave system exhibits a relaxation process toward a stationary state. Considering the Hamiltonian system associated to the stationary state, we provide a global geometrical view of all the stationary solutions of the system. The analysis reveals that the stationary state converges exponentially toward a pinched torus of the Hamiltonian system in the limit of an infinite nonlinear medium. The singular torus thus plays the role of an attractor for the spatiotemporal wave system. The topological pr…

symbols.namesakeClassical mechanicsNonlinear mediumAttractorMathematical analysissymbolsTorusBoundary value problemHamiltonian (quantum mechanics)Pinched torusStationary stateMathematicsHamiltonian systemPhysical Review E
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