Search results for "Probability."

showing 6 items of 3396 documents

High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method

2018

We present a boundary condition scheme for the lattice Boltzmann method that has significantly improved stability for modeling turbulent flows while maintaining excellent parallel scalability. Simulations of a three-dimensional lid-driven cavity flow are found to be stable up to the unprecedented Reynolds number $\mathrm{Re}=5\ifmmode\times\else\texttimes\fi{}{10}^{4}$ for this setup. Excellent agreement with energy balance equations, computational and experimental results are shown. We quantify rises in the production of turbulence and turbulent drag, and determine peak locations of turbulent production.

virtauslaskentaLattice Boltzmann methodsEnergy balance01 natural sciencesStability (probability)010305 fluids & plasmasPhysics::Fluid Dynamicssymbols.namesaketurbulenssi0103 physical sciencesBoundary value problem010306 general physicsPhysicsta114numeeriset menetelmätTurbulenceBoltzmann methodReynolds numberMechanicscavity flowSettore FIS/02 - Fisica Teorica Modelli e Metodi MatematiciDragsymbolsProduction (computer science)Computational fluid dynamics; Lattice Boltzmann Methods; Turbulent cavity flowsdifferentiaaliyhtälöt
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Game-Theoretic Approach to Hölder Regularity for PDEs Involving Eigenvalues of the Hessian

2021

AbstractWe prove a local Hölder estimate for any exponent $0<\delta <\frac {1}{2}$ 0 < δ < 1 2 for solutions of the dynamic programming principle $$ \begin{array}{@{}rcl@{}} u^{\varepsilon} (x) = \sum\limits_{j=1}^{n} \alpha_{j} \underset{\dim(S)=j}{\inf} \underset{|v|=1}{\underset{v\in S}{\sup}} \frac{u^{\varepsilon} (x + \varepsilon v) + u^{\varepsilon} (x - \varepsilon v)}{2} \end{array} $$ u ε ( x ) = ∑ j = 1 n α j inf dim ( S ) = j sup v ∈ S | v | = 1 u ε ( x + ε v ) + u ε ( x − ε v ) 2 with α1,αn > 0 and α2,⋯ ,αn− 1 ≥ 0. The proof is based on a new coupling idea from game theory. As an application, we get the same regularity estimate for viscosity solutions of the PDE $…

viscosity solutionosittaisdifferentiaaliyhtälötMathematics::Functional AnalysisStatistics::Theory91A05 91A15 35D40 35B65Mathematics::Dynamical Systemsholder estimateMathematics::Analysis of PDEsmatemaattinen optimointifully nonlinear PDEsdynamic programming principleMathematics - Analysis of PDEsMathematics::ProbabilityFOS: Mathematicspeliteoriaeigenvalue of the HessianAnalysisAnalysis of PDEs (math.AP)estimointi
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Few-body insights of multiquark exotic hadrons

2018

In this contribution we discuss the adequate treatment of the $4-$ and $5-$body dynamics within a constituent quark framework. We stress that the variational and Born-Oppenheimer approximations give energies rather close to the exact ones, while the diquark approximation might be rather misleading. Hall-Post inequalities provide very useful lower bounds that exclude possible stable states for some mass ratios and color wave functions.

wave functionhadron: exoticBorn–Oppenheimer approximationConstituent quarkFOS: Physical sciences01 natural sciencesStability (probability)symbols.namesakeTheoretical physicsHigh Energy Physics - Phenomenology (hep-ph)multiquarkquark: constituent0103 physical sciences010306 general physicsWave functionBorn-Oppenheimer approximationStable statePhysics010308 nuclear & particles physicsExotic hadronMass ratiostabilityDiquarkHigh Energy Physics - Phenomenology[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]symbolsapproximation: diquarkmass ratio
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Estimation of wind velocity over a complex terrain using the Generalized Mapping Regressor

2010

Abstract Wind energy evaluation is an important goal in the conversion of energy systems to more environmentally friendly solutions. In this paper, we present a novel approach to wind speed spatial estimation on the isle of Sicily (Italy): an incremental self-organizing neural network (Generalized Mapping Regressor – GMR) is coupled with exploratory data analysis techniques in order to obtain a map of the spatial distribution of the average wind speed over the entire region. First, the topographic surface of the island was modelled using two different neural techniques and by exploiting the information extracted from a digital elevation model of the region. Then, GMR was used for automatic …

wind spatial estimationWind powerSettore ING-IND/11 - Fisica Tecnica AmbientaleArtificial neural networkMeteorologybusiness.industryMechanical EngineeringProbability density functionTerrainBuilding and ConstructionManagement Monitoring Policy and LawWind speedExploratory data analysisGeneral EnergybusinessDigital elevation modelGeologyWeibull distributionRemote sensing
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Univariate and multivariate properties of wind velocity time series

2009

We analyze the time series of hourly average wind speeds measured at 29 different stations located in Sicily, a region with a complex morphology. The investigation, performed from the univariate as well as the multivariate point of view, evidences that the statistical properties of wind at the single sites have features that are not reproduced by standard models and, thus, require specific modeling. Moreover, the synchronous evolution of wind velocity presents a cluster structure, obtained with different algorithms, that persists in the standard deviation too.

wind velocity time seriesStatistics and ProbabilityMultivariate statisticsSeries (mathematics)MeteorologyUnivariateStatistical and Nonlinear PhysicsStandard deviationWind speedhydrodynamic fluctuations random graphs networksLog wind profilePoint (geometry)Statistics Probability and UncertaintyMathematics
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Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks

2016

In this paper, we propose and investigate two novel techniques to perform multiple relay selection in large multi-hop decode-and-forward relay networks. The two proposed techniques exploit sparse signal recovery theory to select multiple relays using the orthogonal matching pursuit algorithm and outperform state-of-the-art techniques in terms of outage probability and computation complexity. To reduce the amount of collected channel state information (CSI), we propose a limited-feedback scheme where only a limited number of relays feedback their CSI. Furthermore, a detailed performance-complexity tradeoff investigation is conducted for the different studied techniques and verified by Monte …

wireless networksTheoretical computer scienceComputer scienceMultiple relay selectionsComplex networks050801 communication & media studiesfeedback02 engineering and technologyData_CODINGANDINFORMATIONTHEORYchannelslaw.inventionHop (networking)diversityCommunication channels (information theory)[SPI]Engineering Sciences [physics]0508 media and communicationsMSERelaylaw0202 electrical engineering electronic engineering information engineeringComputer Science::Networking and Internet Architecture[ SPI ] Engineering Sciences [physics]Computer Science::Information TheoryLarge DF relay networksLink Access Procedure for Frame Relaycooperative networks05 social sciencesComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSRelay control systems020206 networking & telecommunicationsChannel state informationChannel state informationRelay selectionOutage probabilityAlgorithmRelay channel
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