Search results for "extrapolation"

showing 10 items of 150 documents

Rheological studies of moderately concentrated polystyrene solutions. I. A new method for the extrapolation of the zero-shear viscosity

1983

Measurements of the viscosity coefficient η of solutions of polystyrene (Mw = 6.0 × 105 and 1.77 × 106) in trans-decalin (TD, θ solvent) and toluene (TL, good solvent) as function of shear rate (11−104 s−1), concentration (4.24−11.21 wt %), and temperature (10–50°C) are reported. As a new theoretically grounded method for the determination of the zero-shear viscosity η0 it is proposed to plot η as a function of . The intercepts of the straight lines obtained by this procedure give η0 in good agreement with directly measured values.

Shear rateViscositychemistry.chemical_compoundChromatographyRheologyChemistryRelative viscosityGeneral EngineeringExtrapolationThermodynamicsPolystyreneReduced viscosityTolueneJournal of Polymer Science: Polymer Physics Edition
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A Shoreline model for breaking waves

2011

In order to simulate the wave motion and, in turn, the flow, within the nearshore region, in the last decades the derivation and the application of depth-integrated type of models have been widely investigated and developed. However, in such models, the problems of facing wave breaking and the moving shoreline are not trivial and therefore several approaches have been proposed. About wave breaking, approaches both based on the adoption of an artificial eddy viscosity Zelt (1991) and on the concept of roller Veeramony (2000), Karambas (2003), Musumeci (2005) have been implemented. As regards the shoreline boundary condition, a couple of numerical techniques have been mainly adopted, namely t…

ShoreEngineeringgeographygeography.geographical_feature_categorybusiness.industryFlow (psychology)Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaTurbulence modelingExtrapolationBreaking waveMechanicsGridGeneral Earth and Planetary Sciencesshoreline boussinesq model breaking wavesGeotechnical engineeringBoundary value problembusinessGeneral Environmental ScienceSwash
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Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

2020

Parameter retrieval and model inversion are key problems in remote sensing and Earth observation. Currently, different approximations exist: a direct, yet costly, inversion of radiative transfer models (RTMs); the statistical inversion with in situ data that often results in problems with extrapolation outside the study area; and the most widely adopted hybrid modeling by which statistical models, mostly nonlinear and non-parametric machine learning algorithms, are applied to invert RTM simulations. We will focus on the latter. Among the different existing algorithms, in the last decade kernel based methods, and Gaussian Processes (GPs) in particular, have provided useful and informative so…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningEarth observation010504 meteorology & atmospheric sciencesIASIComputer science0211 other engineering and technologiesExtrapolation02 engineering and technologyDeep Gaussian Processes01 natural sciencesArticleMachine Learning (cs.LG)symbols.namesakeCopernicus programmeSentinelsMachine learningRadiative transferFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingComputers in Earth SciencesModel inversionStatistical retrievalEngineering (miscellaneous)Gaussian processChlorophyll contentMoisture021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryInorganic suspended matterTemperatureInversion (meteorology)Statistical modelAtomic and Molecular Physics and OpticsComputer Science ApplicationsInfrared sounderNonlinear systemsymbolsGlobal Positioning SystemColoured dissolved matterbusinessAlgorithm
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Static and dynamic glass transitions in the 10-state Potts glass: What can Monte Carlo simulations contribute?

2002

The p-state Potts glass with infinite range Gaussian interactions can be solved exactly in the thermodynamic limit and exhibits an unconventional phase behavior if p >4: A dynamical transition from ergodic to non-ergodic behavior at a temperature T D is followed by a first order transition at T 0 < T D, where a glass order parameter appears discontinuously, although the latent heat is zero. If one assumes that a similar scenario occurs for the structural glass transition as well (though with the singular behavior at T D rounded off), the p-state Potts glass should be a good test case to develop methods to deal with finite size effects for the static as well as the dynamic transition, and to…

Spin glassGaussianMonte Carlo methodExtrapolationGeneral Physics and Astronomysymbols.namesakeHardware and ArchitectureThermodynamic limitsymbolsErgodic theoryStatistical physicsGlass transitionMathematicsPotts modelComputer Physics Communications
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Currents reconstruction by means of a new 2D extrapolation matrix

2007

The equivalent currents reconstructed on the surface of an antenna from its far field measurements have a limited resolution. This is because just the visible part of the spectrum, i.e. the inner part of the circle of radius k (the wavenumber), can be obtained with this technique. The zero padding technique is used for improving the precision; however this technique does not improve the resolution and additional methods must be applied. One of the most used is the Gerchberg-Papoulis algorithm. This technique obtains the non visible spectrum from just the visible region and the maximum size of the antenna. The main disadvantage of this algorithm is that, since it is iterative, it takes a lon…

Surface (mathematics)Matrix (mathematics)Opticsbusiness.industryIterative methodExtrapolationWavenumberNear and far fieldRadiusAntenna (radio)businessAlgorithmMathematics2nd European Conference on Antennas and Propagation (EuCAP 2007)
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Kirkwood–Buff Integrals Using Molecular Simulation: Estimation of Surface Effects

2020

Kirkwood&ndash

Surface (mathematics)PhysicsWork (thermodynamics)Finite volume method010304 chemical physicsScale (ratio)nanothermodynamicsGeneral Chemical Engineeringsurface effectsExtrapolationInverse02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesArticlemolecular dynamicsKirkwood-Buff integralslcsh:Chemistrylcsh:QD1-9990103 physical sciencesThermodynamic limitGeneral Materials ScienceStatistical physics0210 nano-technologyScalingNanomaterials
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A New Algorithm for the Retrieval of Sun Induced Chlorophyll Fluorescence of Water Bodies Exploiting the Detailed Spectral Shape of Water-Leaving Rad…

2021

Sun induced chlorophyll fluorescence (SICF) emitted by phytoplankton provides considerable insights into the vital role of the carbon productivity of the earth’s aquatic ecosystems. However, the SICF signal leaving a water body is highly affected by the high spectral variability of its optically active constituents. To disentangle the SICF emission from the water-leaving radiance, a new high spectral resolution retrieval algorithm is presented, which significantly improves the fluorescence line height (FLH) method commonly used so far. The proposed algorithm retrieves the reflectance without SICF contribution by the extrapolation of the reflectance from the adjacent regions. Then, the SICF …

TeledeteccióSpectral shape analysis010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesExtrapolationAigua Qualitat02 engineering and technologywater quality01 natural sciencesocean colorAtmospheric radiative transfer codesSpectral resolutionChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesphotosynthesisQHydroLightFluorescènciaWavelengthOcean colorphytoplanktonRadianceGeneral Earth and Planetary SciencesEnvironmental sciencefluorescencefluorescence; HydroLight; water quality; ocean color; photosynthesis; phytoplankton; ocean productivity; optically active constituents; Sentinel-3; ocean and land color instrumentAlgorithmRemote Sensing
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Global extrapolation with a parallel splitting method

1992

Extrapolation with a parallel splitting method is discussed. The parallel splitting method reduces a multidimensional problem into independent one-dimensional problems and can improve the convergence order of space variables to an order as high as the regularity of the solution permits. Therefore, in order to match the convergence order of the space variables, a high order method should also be used for the time integration. Second and third order extrapolation methods are used to improve the time convergence and it was found that the higher order extrapolation method can produce a more accurate solution than the lower order extrapolation method, but the convergence order of high order extr…

Third orderUnit circleHigh Energy Physics::LatticeApplied MathematicsNumerical analysisConvergence (routing)Mathematical analysisExtrapolationSpace (mathematics)Unit squareMinimum polynomial extrapolationMathematicsNumerical Algorithms
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Performance of polarization-consistent vs. correlation-consistent basis sets for CCSD(T) prediction of water dimer interaction energy

2019

Abstract Detailed study of Jensen’s polarization-consistent vs. Dunning’s correlation-consistent basis set families performance on the extrapolation of raw and counterpoise-corrected interaction energies of water dimer using coupled cluster with single, double, and perturbative correction for connected triple excitations (CCSD(T)) in the complete basis set (CBS) limit are reported. Both 3-parameter exponential and 2-parameter inverse-power fits vs. the cardinal number of basis set, as well as the number of basis functions were analyzed and compared with one of the most extensive CCSD(T) results reported recently. The obtained results for both Jensen- and Dunning-type basis sets underestimat…

Water dimerPolarized-consistentExtrapolationBasis functionWater dimer010402 general chemistry01 natural sciencesCatalysisCBSInorganic ChemistryFitting formula0103 physical sciencesCCSD(T)Statistical physicsPhysical and Theoretical ChemistryBasis setMathematics010304 chemical physicsOrganic ChemistryInteraction energyCorrelation-consistent0104 chemical sciencesComputer Science ApplicationsExponential functionCoupled clusterComputational Theory and MathematicsBasis setsCounterpoiseJournal of Molecular Modeling
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FDTD signal extrapolation using a finite impulse response neural network model

1999

Waveguide filterFinite impulse responseComputer scienceAcousticsExtrapolationCondensed Matter PhysicsSignalAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsElectronic engineeringElectrical and Electronic EngineeringInfinite impulse responseDigital filterLinear filterImpulse responseMicrowave and Optical Technology Letters
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