Results 231 to 240 of about 273,908 (268)
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A New Method for Estimating Time Variation in the NAIRU
200953
Pissarides, Christopher A. +1 more
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A Total Variation Based Method for Multivariate Time Series Segmentation
Advances in Applied Mathematics and Mechanics, 2023Summary: Multivariate time series segmentation is an important problem in data mining and it has arisen in more and more practical applications in recent years. The task of time series segmentation is to partition a time series into segments by detecting the abrupt changes or anomalies in the time series.
Li, Min, Huang, Yumei, Wen, Youwei
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Network Stratification Method by Travel Time Variation
Transportation Research Record: Journal of the Transportation Research Board, 2011There is a need for fair and statistically valid assessments of traveler information data services. For measurement of the accuracy of a traveler information service, ground truth data must be collected and compared with the data service being evaluated.
James K. Richardson +3 more
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Systems with Time Delay in the Calculus of Variations: The Method of Steps
IMA Journal of Mathematical Control and Information, 1988In ibid. 5, No.2, 125-145 (1988; Zbl 0655.49017), the author derived necessary and sufficient conditions for minima for the fixed-endpoint problem in the calculus of variations involving a constant delay in the phase coordinates. Here we convert, through the `method of steps' the delay problem into one without delay. Although this problem will not have
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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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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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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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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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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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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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