Results 101 to 110 of about 5,570,536 (255)
Detecting Periodicity of a General Stationary Time Series via AR(2)‐Model Fitting
Journal of Time Series Analysis, EarlyView.ABSTRACT Estimating the periodicity of a stationary time series via fitting a second‐order stationary autoregressive (AR(2)) model has been initiated by the seminal paper of Yule (1927). We investigate properties of this procedure when applied to general stationary processes possessing a spectral density with a dominant peak at some unknown frequency ...
Jens‐Peter Kreiss +2 more
wiley +1 more source
The Long Shadow of Karl Weierstraß Over the Calculus of Variations
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.ABSTRACT At first glance, it appears that the contents of Karl Weierstraß's (1815–1897) lecture courses on the calculus of variations were made available to the public only in the seventh volume of his Mathematische Werke, and thus not until 30 years after his death.
Peter Ullrich
wiley +1 more source
Genus two KdV soliton gases and their long-time asymptotics
Forum of Mathematics, SigmaThis paper employs the Riemann-Hilbert problem and nonlinear steepest descent method of Deift-Zhou to provide a comprehensive analysis of the asymptotic behavior of the genus two Korteweg-de Vries soliton gases.
Deng-Shan Wang +2 more
doaj +1 more source
Personality and Mental Health, Volume 20, Issue 4, November 2026.ABSTRACT According to the functional ensemble of temperament (FET) model, individual differences in temperament arise from the balance of neurotransmitter systems also crucial for regulating circadian rhythms and sleep, suggesting a strong neurobiological link between temperament and sleep behavior.
Stefano Lasaponara +6 more
wiley +1 more source
A general framework for solving Riemann-Hilbert problems\ud numerically [PDF]
, 2010 A new, numerical framework for the approximation of solutions to matrix-valued Riemann-Hilbert problems is developed, based on a recent method for the homogeneous Painlev\'e II Riemann- Hilbert problem.
Olver, Sheehan
core
Analysis of Eigenvalue Clustering Leads to Optimal Scaling in Numerical Radiative Transfer
Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.ABSTRACT We consider a multidimensional polychromatic radiative transfer (RT) problem, accounting for scattering processes in a general form, that is, anisotropic (dipole) scattering with partial frequency redistribution. Given a discrete ordinates (SN$$ {S}_N $$) discretization, we report the corresponding matrix structures, depending on the model and
Pietro Benedusi +3 more
wiley +1 more source
The Beesack-Darst-Pollard Inequalities and Approximation of the Riemann-Stieltjes Integral [PDF]
, 2007 Utilising the Beesack version of the Darst-Pollard inequality, some error bounds for approximating the Riemann-Stieltjes integral are given.
Dragomir, Sever S, Barnett, Neil S
core +1 more source
Robust Functional Basis Neural Network Method With the Normalization
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 5, October 2026.ABSTRACT This paper aims to develop a robust nonlinear model utilizing neural networks for function‐on‐function regression problems. The proposed framework is designed to enhance robustness in regression modeling by minimizing the impact of outliers in the response variable during model training.
Wooseok Jeong +3 more
wiley +1 more source
Multihierarchy Simulation of Riemann Problem for Reconnection Exhausts
The Astrophysical JournalMagnetic reconnection drives a wide range of astrophysical plasma phenomena, including solar flares, by converting magnetic energy into plasma energy through changes in magnetic field topology.
Keita Akutagawa +2 more
doaj +1 more source
Site‐Specific Post‐Processing of Spectral Wave Forecast by Learning From Buoy Measurements
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Operational wave prediction systems provide critical information across a range of marine industries and for public safety. Yet operational numerical wave forecasts can exhibit systematic biases, such as in wave height and arrival time of swell events.
Arthur Filoche +3 more
wiley +1 more source