Search results for "Linear"

showing 10 items of 7165 documents

Serrin-Type Overdetermined Problems: an Alternative Proof

2008

We prove the symmetry of solutions to overdetermined problems for a class of fully nonlinear equations, namely the Hessian equations. In the case of the Poisson equation, our proof is alternative to the proofs proposed by Serrin (moving planes) and by Weinberger. Moreover, our proof makes no direct use of the maximum principle while it sheds light on a relation between the Serrin problem and the isoperimetric inequality.

Hessian equationMechanical EngineeringMathematical analysisMathematics::Analysis of PDEsHessian equationType (model theory)isoperimetric inequalityMathematical proofOverdetermined systemNonlinear systemMathematics (miscellaneous)Maximum principleSettore MAT/05 - Analisi Matematicasymmetry of solutionsOverdetermined problemApplied mathematicsIsoperimetric inequalityPoisson's equationAnalysisMathematicsArchive for Rational Mechanics and Analysis
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Are most of the stationary points in a molecular association minima? Application of Fraga's potential to benzene-benzene

1993

The importance of characterizing the stationary points of the intermolecular potential by means of Hessian eigenvalues is illustrated for the calculation of the benzene–benzene interaction using an atom-to-atom pair potential proposed by Fraga (FAAP). Two models, the standard one-center-per atom and another using three-centers-per atom due to Hunter and Sanders, are used to evaluate the electrostatic contributions and the results are compared. It is found in both cases that although using low-gradient thresholds allows optimization procedures to avoid many stationary points that are not true minima computing time considerations makes the usual procedure of using high-gradient thresholds [sa…

Hessian matrixBasis (linear algebra)Zero-point energyGeneral ChemistryStationary pointMaxima and minimaComputational MathematicsDelocalized electronsymbols.namesakeQuantum mechanicsPhysics::Atomic and Molecular ClusterssymbolsStatistical physicsPair potentialEigenvalues and eigenvectorsMathematicsJournal of Computational Chemistry
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On the Symmetry of Solutions to a k-Hessian Type Equation

2013

Abstract In this note we prove that if u is a negative solution to a nonlinear elliptic equation involving a Hessian operator, and u is zero on the boundary of a ball, then u is radially symmetric and increasing along the radii.

Hessian matrixGeneral Mathematics010102 general mathematicsCharacteristic equationStatistical and Nonlinear Physics01 natural sciencesSymmetry (physics)010101 applied mathematicsExplicit symmetry breakingType equationsymbols.namesakeSymmetrySettore MAT/05 - Analisi Matematicasymbols0101 mathematicsHessian equationsMathematical physicsMathematics
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Apertureless scanning near-field optical microscopy: a comparison between homodyne and heterodyne approaches

2006

International audience; In coherent homodyne apertureless scanning near-field optical microscopy (ASNOM) the background field cannot be fully suppressed because of the interference between the different collected fields, making the images difficult to interpret. We show that implementing the heterodyne version of ASNOM allows one to overcome this issue. We present a comparison between homodyne and heterodyne ASNOM through near-field analysis of gold nanowells, integrated waveguides, and a single evanescent wave generated by total internal reflection. The heterodyne approach allows for the control of the interferometric effect with the background light. In particular, the undesirable backgro…

HeterodyneImage formationPhase (waves)Near and far fieldOptical fields02 engineering and technologyInterference (wave propagation)Total internal reflection01 natural sciencesDestructive interference010309 opticsOptics0103 physical sciences[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsPhysicsTotal internal reflectionNear field opticsbusiness.industryTapered fibersNear-field opticsScanning microscopyStatistical and Nonlinear Physics021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsInterferometryImage formation theory[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic0210 nano-technologybusinessScanning electron microscopy
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ChemInform Abstract: Antimicrobial Activity Characterization in a Heterogeneous Group of Compounds.

2010

In this work we carry out a study of pattern recognition to detect the microbiological activity in a group of heterogeneous compounds. The structural descriptors utilized are the topological connectivity indexes. The methods followed are stepwise linear discriminant analysis (linear analysis) and artificial neural network (nonlinear analysis). Although both methods are appropriate to differentiate between active and inactive compounds, the artificial neural network is, in this case, more adequate, since it shows in a test set a prediction success of 98%, versus 92% obtained with linear discriminant analysis.

Heterogeneous groupArtificial neural networkbusiness.industryChemistryTest setPattern recognition (psychology)Pattern recognitionGeneral MedicineArtificial intelligenceLinear analysisLinear discriminant analysisbusinessAntimicrobialChemInform
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Antimicrobial Activity Characterization in a Heterogeneous Group of Compounds

1998

In this work we carry out a study of pattern recognition to detect the microbiological activity in a group of heterogeneous compounds. The structural descriptors utilized are the topological connectivity indexes. The methods followed are stepwise linear discriminant analysis (linear analysis) and artificial neural network (nonlinear analysis). Although both methods are appropriate to differentiate between active and inactive compounds, the artificial neural network is, in this case, more adequate, since it shows in a test set a prediction success of 98%, versus 92% obtained with linear discriminant analysis.

Heterogeneous groupMolecular StructureArtificial neural networkbusiness.industryLinear modelDiscriminant AnalysisPattern recognitionGeneral ChemistryLinear analysisAntimicrobialLinear discriminant analysisPattern Recognition AutomatedComputer Science ApplicationsAnti-Infective AgentsNonlinear DynamicsComputational Theory and MathematicsTest setPattern recognition (psychology)Linear ModelsNeural Networks ComputerArtificial intelligencebusinessInformation SystemsMathematicsJournal of Chemical Information and Computer Sciences
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Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

2015

Abstract Given the forthcoming availability of Sentinel-2 (S2) images, this paper provides a systematic comparison of retrieval accuracy and processing speed of a multitude of parametric, non-parametric and physically-based retrieval methods using simulated S2 data. An experimental field dataset (SPARC), collected at the agricultural site of Barrax (Spain), was used to evaluate different retrieval methods on their ability to estimate leaf area index (LAI). With regard to parametric methods, all possible band combinations for several two-band and three-band index formulations and a linear regression fitting function have been evaluated. From a set of over ten thousand indices evaluated, the …

HeteroscedasticityMean squared errorEconomicsComputer scienceImage processingBiophysical variablessymbols.namesakeLaboratory of Geo-information Science and Remote SensingMachine learningStatisticsLinear regressionLaboratorium voor Geo-informatiekunde en Remote SensingComputers in Earth SciencesParametricEngineering (miscellaneous)Gaussian processPhysically-based RTM inversionParametric statisticsPhysicsNonparametric statisticsPE&RCNon-parametricAtomic and Molecular Physics and OpticsComputer Science ApplicationsLookup tablesymbolsSentinel-2Engineering sciences. TechnologyAlgorithmISPRS Journal of Photogrammetry and Remote Sensing
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On the Intrinsic Complexity of Learning

1995

AbstractA new view of learning is presented. The basis of this view is a natural notion of reduction. We prove completeness and relative difficulty results. An infinite hierarchy of intrinsically more and more difficult to learn concepts is presented. Our results indicate that the complexity notion captured by our new notion of reduction differs dramatically from the traditional studies of the complexity of the algorithms performing learning tasks.

HierarchyTheoretical computer scienceBasis (linear algebra)business.industryMachine learningcomputer.software_genreComputer Science ApplicationsTheoretical Computer ScienceReduction (complexity)Computational Theory and MathematicsCompleteness (order theory)Concept learningRecursive functionsNatural (music)Artificial intelligencebusinesscomputerInformation SystemsMathematicsInformation and Computation
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Beyond second-order convergence in simulations of binary neutron stars in full general relativity

2014

Despite the recent rapid progress in numerical relativity, a convergence order less than the second has so far plagued codes solving the Einstein-Euler system of equations. We report simulations of the inspiral of binary neutron stars in quasi-circular orbits computed with a new code employing high-order, high-resolution shock-capturing, finite-differencing schemes that, for the first time, go beyond the second-order barrier. In particular, without any tuning or alignment, we measure a convergence order above three both in the phase and in the amplitude of the gravitational waves. Because the new code is able to calculate waveforms with very small phase errors already at modest resolutions,…

High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsGeneral relativityGravitational waveFOS: Physical sciencesBinary numberAstronomy and AstrophysicsGeneral Relativity and Quantum Cosmology (gr-qc)AstrophysicsSystem of linear equationsGeneral Relativity and Quantum CosmologyNeutron starNumerical relativityAmplitudeSpace and Planetary ScienceConvergence (routing)Astrophysics - High Energy Astrophysical PhenomenaMonthly Notices of the Royal Astronomical Society: Letters
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Linear theory of the Rayleigh–Taylor instability at a discontinuous surface of a relativistic flow

2017

We address the linear stability of a discontinuous surface of a relativistic flow in the context of a jet that oscillates radially as it propagates. The restoring force of the oscillation is expected to drive a Rayleigh-Taylor instability (RTI) at the interface between the jet and its cocoon. We perform a linear analysis and numerical simulations of the growth of the RTI in the transverse plane to the jet flow with a uniform acceleration. In this system, an inertia force due to the uniform acceleration acts as the restoring force for the oscillation. We find that not only the difference in the inertia between the two fluids separated by the interface but also the pressure at the interface h…

High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsJet (fluid)OscillationAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstronomy and AstrophysicsMechanics01 natural sciencesInstabilityAccelerationLorentz factorsymbols.namesakeSpace and Planetary Science0103 physical sciencessymbolsRayleigh–Taylor instabilityRestoring forceAstrophysics - High Energy Astrophysical Phenomena010306 general physics010303 astronomy & astrophysicsLinear stabilityMonthly Notices of the Royal Astronomical Society
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