Results 211 to 220 of about 13,975,826 (243)
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Time-Independent Perturbation Theory and Variational Method
1991It is often the case in the applications of QM that the eigenstates and eigenvalues corresponding to the bound states of a Hamiltonian H are too complicated to be obtained exactly. We will discuss two different procedures to obtain approximate solutions to these problems: Time-independent perturbation theory, and variational method.
Alberto Galindo, Pedro Pascual
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Variational Method for the Time-Dependent Dirac Equation
1983The variational method is explained and applied to the time-dependent Dirac equation. As an example we analyse the dynamics of inner-shell electrons during a heavy ion collision. Time-dependent electron trajectories are used to study electron excitation. The classical correspondence is pointed out.
J. Krause, M. Kleber
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Variational Iterative Time Dependent Method for Eigenvalues and Eigenfunctions of the Hamiltonian
Journal of Chemical Theory and Computation, 2005Short time information on the time evolution of wave packets is combined with the variational theorem to determine eigenvalues and eigenfunctions. As in the Filter Diagonalization Method the input that is needed is a correlation function and its time derivative. The method is iterative and convergent. The time interval needed is short, for example, the
Markus, Saltzer, Eli, Pollak
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Convergence of Regularized Time-Stepping Methods for Differential Variational Inequalities
SIAM Journal on Optimization, 2013This paper provides convergence analysis of regularized time-stepping methods for the differential variational inequality (DVI), which consists of a system of ordinary differential equations and a parametric variational inequality (PVI) as the constraint.
Xiaojun Chen 0001, Zhengyu Wang
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A Method for Seasonally Adjusting Time Series With Variation in the Seasonal Amplitude
Journal of Business & Economic Statistics, 1986The official seasonally adjusted figures of the unemployment series in the Netherlands proved to be unsatisfactory in the years 1976 until 1980 because of the occurrence of a residual seasonal pattern in the adjusted series. There is indication that this failure is due to the presence of variations in the seasonal amplitude of the unemployment series ...
H. van der Hoeven, A. J. Hundepool
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Space-Time Variation of Property Crime in Beijing with ESDA Method
2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019property crime like residential burglary is a frequently occurred offence in Beijing. For crime reduction, it is important to know if there are hotspots exist and if it does, how many of them are maintained. In this study, spatial and temporal pattern of residential burglary by Policing command unit of Chaoyang district of Beijing is investigated.
Sheng Li, Wenzhong Tang
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A time-series similarity method for QRS morphology variation analysis
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016Electrocardiography is a common tool for detecting cardiovascular system diseases. In clinical, as the individual difference is an intrinsic feature of ECG, data distribution difference between training and testing data impacts on the accuracy of classifier. Automatic ECG classification satisfied clinical demand is urgently required.
Liping Wang 0012 +2 more
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A new method to estimate time variation in the NAIRU [PDF]
NAIRU estimates are obtained from estimates of the Phillips curve – the relationship between the inflation rate on the one hand, and the unemployment rate, measures of inflationary expectations and variables representing supply shocks on the other.
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Statistics in Medicine, 2000
In a preventive vaccine efficacy trial of a vaccine for a genotypically and phenotypically diverse pathogen, it is important to assess if and how vaccine protection against infection or disease varies with characteristics of the exposing pathogen. Gilbert, Self and Ashby developed statistical methods for this problem when the outcome data are counts of
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In a preventive vaccine efficacy trial of a vaccine for a genotypically and phenotypically diverse pathogen, it is important to assess if and how vaccine protection against infection or disease varies with characteristics of the exposing pathogen. Gilbert, Self and Ashby developed statistical methods for this problem when the outcome data are counts of
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ACM Transactions on Computing for Healthcare
Biological processes like growth, aging, and disease progression are generally studied with follow-up scans taken at different time points, i.e., image time series (TS) based analysis. Image TS represents the evolution of anatomy over time, but different anatomies may have different structural characteristics and temporal paths.
Alphin J. Thottupattu +1 more
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Biological processes like growth, aging, and disease progression are generally studied with follow-up scans taken at different time points, i.e., image time series (TS) based analysis. Image TS represents the evolution of anatomy over time, but different anatomies may have different structural characteristics and temporal paths.
Alphin J. Thottupattu +1 more
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