Search results for "DECOMPOSITION"

showing 10 items of 766 documents

Solar UV radiation and plant responses : assessing the methodological problems in research concerning stratospheric ozone depletion

2010

plant phenolicsBetulaceaeaction spectrahajoaminenvaikutusspektritotsonikatoultraviolettisäteilylitter decompositionkarikefenoliset yhdisteetvasteetsoil respirationUV-säteily
researchProduct

Kohn-Sham Decomposition in Real-Time Time-Dependent Density-Functional Theory An Efficient Tool for Analyzing Plasmonic Excitations

2017

The real-time-propagation formulation of time-dependent density-functional theory (RT-TDDFT) is an efficient method for modeling the optical response of molecules and nanoparticles. Compared to the widely adopted linear-response TDDFT approaches based on, e.g., the Casida equations, RT-TDDFT appears, however, lacking efficient analysis methods. This applies in particular to a decomposition of the response in the basis of the underlying single-electron states. In this work, we overcome this limitation by developing an analysis method for obtaining the Kohn-Sham electron-hole decomposition in RT-TDDFT. We demonstrate the equivalence between the developed method and the Casida approach by a be…

plasmonic excitationsTheoretical computer scienceKohn-Sham decompositionComputer scienceta221Kohn–Sham equationsFOS: Physical sciencesPhysics::Optics02 engineering and technology01 natural sciencesPhysics - Chemical Physics0103 physical sciencesMesoscale and Nanoscale Physics (cond-mat.mes-hall)Decomposition (computer science)Physics::Atomic and Molecular ClustersStatistical physicsPhysical and Theoretical ChemistryPhysics::Chemical Physics010306 general physicsta116PlasmonEigenvalues and eigenvectorsChemical Physics (physics.chem-ph)Condensed Matter - Materials ScienceCondensed Matter - Mesoscale and Nanoscale Physicsta114tiheysfunktionaaliteoriaMaterials Science (cond-mat.mtrl-sci)Time-dependent density functional theory16. Peace & justice021001 nanoscience & nanotechnologyComputer Science ApplicationsplasmonitBenzene derivativesnanohiukkaset0210 nano-technologyJOURNAL OF CHEMICAL THEORY AND COMPUTATION
researchProduct

Firm Lifecycles and External Restructuring

2011

This paper studies how firms contribute to the productivity growth of an industry over their lifecycle. We present a decomposition method that allows us to condition the components of productivity growth on the age of production units. We find evidence for a prolonged positive exit effect that mirrors market selection during the early stages of firms lifecycle. This effect is tightly related to the negative initial productivity effect of entry. We also find some evidence that productivity-enhancing reallocation of resources between firms is concentrated on the middle aged firms.

productivity decomposition lifecycle entry exitjel:O12jel:O14jel:O47
researchProduct

Public-private sector pay gaps by industry, quantile and gender

2010

quantiledecompositionpublic-private wag gapgenderselection
researchProduct

The roles of job and worker restructuring in aggregate wage growth dynamics

2019

We propose an approach for measuring and analyzing the dynamics of the standard aggregate wage growth of macro statistics with micro data. Our method decomposes the aggregate wage growth into the wage growth of job stayers and into various terms related to job and worker restructuring. This method produces explicit expressions with clear interpretations for the various restructuring components. Using comprehensive longitudinal employer–employee data, we study how job and worker restructuring influence the aggregate wage growth and its cyclicality. The results highlight the importance of drawing a sharp distinction between job and worker restructuring in the analysis of aggregate wage growth…

restructuringstatistical decompositionbusiness cyclessuhdannevaihtelutansiokehityslinked employer-employee datahealth care economics and organizationsindex theory
researchProduct

A black-box, general purpose quadratic self-consistent field code with and without Cholesky Decomposition of the two-electron integrals

2021

We present the implementation of a quadratically convergent self-consistent field (QCSCF) algorithm based on an adaptive trust-radius optimisation scheme for restricted open-shell Hartree���Fock (ROHF), restricted Hartree���Fock (RHF), and unrestricted Hartree���Fock (UHF) references. The algorithm can exploit Cholesky decomposition (CD) of the two-electron integrals to allow calculations on larger systems. The most important feature of the QCSCF code lies in its black-box nature ��� probably the most important quality desired by a generic user. As shown for pilot applications, it does not require one to tune the self-consistent field (SCF) parameters (damping, Pulay's DIIS, and other simil…

self-consistent fieldField (physics)Nuclear TheoryBiophysicsHartree–Fock methodsecond-orderFOS: Physical sciencesHartree–FockQuadratic equationBlack boxPhysics - Chemical PhysicsPhysics::Atomic and Molecular ClustersCode (cryptography)Applied mathematicsPhysical and Theoretical ChemistryPhysics::Chemical PhysicsMolecular BiologyMathematicsQuadratic growthCholesky decomposition; Hartree–Fock; Levenberg–Marquardt; second-order; self-consistent fieldChemical Physics (physics.chem-ph)Condensed Matter PhysicsLevenberg–Marquardt algorithmLevenberg–MarquardtCholesky decompositionCholesky decomposition
researchProduct

Lebesgue-type decomposition for sesquilinear forms via differences

2022

Definitions of regularity and singularity are proposed for sesquilinear forms with respect to a non-negative one and a correspondent Lebesgue-type decomposition is proved. In contrast to other Lebesgue-type decompositions established in the literature for sesquilinear forms with generic sign, the underlying idea in this paper is to write symmetric forms as the difference of non-negative sesquilinear forms.

sesquilinear forms Lebesgue decomposition regularity singularitySettore MAT/05 - Analisi MatematicaGeneral Mathematics
researchProduct

Image inpainting using directional wavelet packets originating from polynomial splines

2020

The paper presents a new algorithm for the image inpainting problem. The algorithm is using a recently designed versatile library of quasi-analytic complex-valued wavelet packets (qWPs) which originate from polynomial splines of arbitrary orders. Tensor products of 1D qWPs provide a diversity of 2D qWPs oriented in multiple directions. For example, a set of the fourth-level qWPs comprises 62 different directions. The properties of the presented qWPs such as refined frequency resolution, directionality of waveforms with unlimited number of orientations, (anti-)symmetry of waveforms and windowed oscillating structure of waveforms with a variety of frequencies, make them efficient in image pro…

signaalinkäsittelyComputer scienceImage and Video Processing (eess.IV)Inpainting020206 networking & telecommunicationsImage processing02 engineering and technologykuvankäsittelyElectrical Engineering and Systems Science - Image and Video ProcessingWavelet packet decompositionImage (mathematics)Set (abstract data type)Tensor productalgoritmitSignal Processing0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringWaveform020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringAlgorithmSoftwareVariable (mathematics)
researchProduct

Space-by-Time Modular Decomposition Effectively Describes Whole-Body Muscle Activity During Upright Reaching in Various Directions

2017

The modular control hypothesis suggests that motor commands are built from precoded modules whose specific combined recruitment can allow the performance of virtually any motor task. Despite considerable experimental support, this hypothesis remains tentative as classical findings of reduced dimensionality in muscle activity may also result from other constraints (biomechanical couplings, data averaging or low dimensionality of motor tasks). Here we assessed the effectiveness of modularity in describing muscle activity in a comprehensive experiment comprising 72 distinct point-to-point whole-body movements during which the activity of 30 muscles was recorded. To identify invariant modules o…

single-trial analysisModularity (networks)business.industryComputer sciencetask discriminationNeuroscience (miscellaneous)Pattern recognitionModular designInvariant (physics)Task (project management)Modular decompositionReduction (complexity)Cellular and Molecular Neurosciencemuscle synergiesspace-by-time decompositionwhole-body pointingArtificial intelligencebusinessRepresentation (mathematics)modularityNeuroscienceOriginal ResearchCurse of dimensionality
researchProduct

Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition

2019

The characterization of dynamic electrophysiological brain activity, which form and dissolve in order to support ongoing cognitive function, is one of the most important goals in neuroscience. Here, we introduce a method with tensor decomposition for measuring the task-induced oscillations in the human brain using electroencephalography (EEG). The time frequency representation of source-reconstructed singletrail EEG data constructed a third-order tensor with three factors of time ∗ trails, frequency and source points. We then used a non-negative Canonical Polyadic decomposition (NCPD) to identify the temporal, spectral and spatial changes in electrophysiological brain activity. We validate …

source localizationoscillatorsBrain activity and meditationComputer scienceneural oscillationsPhysics::Medical Physics02 engineering and technologyElectroencephalographyTask (project management)03 medical and health sciencestensor decomposition0302 clinical medicineTensor (intrinsic definition)0202 electrical engineering electronic engineering information engineeringmedicineEEGTensorta515ta113Quantitative Biology::Neurons and Cognitionmedicine.diagnostic_testbusiness.industrybrain modelingPattern recognitionHuman brainoskillaattoritdata modelsElectrophysiologymedicine.anatomical_structuretask analysis020201 artificial intelligence & image processingArtificial intelligencebusinesstietomallitelectroencephalography030217 neurology & neurosurgeryICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
researchProduct