Results 61 to 70 of about 2,905,950 (213)
Advances in Meteorology, Volume 2025, Issue 1, 2025.The weather prediction model system of Korea Air Force (KAF), based on the Weather Research and Forecasting (WRF) model, has been operated since 2007. This study incorporates recent physics parameterizations into the KAF‐WRF system and evaluates their impacts on the performance of the system in simulating winter precipitation, fog, and low‐level cloud ...
Jae-Ik Song +11 more
wiley +1 more source
Nonconcurrent Error Correction in the Presence of Roundoff Noise [PDF]
Proceedings of the 45th IEEE Conference on Decision and Control, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Takos, G. +3 more
openaire +4 more sources
Calculation of Green's functions for heat conduction in curved anisotropic media
Heat Transfer, Volume 53, Issue 8, Page 4528-4550, December 2024.Abstract Solving the inverse problems of heat conduction often requires performing a very large number of Green's function evaluations. This paper addresses the calculation of Green's functions in anisotropic curved media, such as composite lamina, where the principal axes of thermal conductivity follow the curved surface.
Anatoli M. Frishman, Stephen D. Holland
wiley +1 more source
A robust and efficient implementation of LOBPCG
, 2018 Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) is widely used to compute eigenvalues of large sparse symmetric matrices. The algorithm can suffer from numerical instability if it is not implemented with care.
Duersch, Jed A. +3 more
core +1 more source
A Stability Analysis of Neural Networks and Its Application to Tsunami Early Warning
Journal of Geophysical Research: Machine Learning and Computation, Volume 1, Issue 4, December 2024.Abstract Neural networks (NNs) enable precise modeling of complicated geophysical phenomena but can be sensitive to small input changes. In this work, we present a new method for analyzing this instability in NNs. We focus our analysis on adversarial examples, test‐time inputs with carefully crafted human‐imperceptible perturbations that expose the ...
Donsub Rim +4 more
wiley +1 more source
Loop integration results using numerical extrapolation for a non-scalar integral
, 2004 Loop integration results have been obtained using numerical integration and extrapolation. An extrapolation to the limit is performed with respect to a parameter in the integrand which tends to zero. Results are given for a non-scalar four-point diagram.
Berntsen +14 more
core +1 more source
Ionospheric Radio Beacon Signal Analysis and Parameter Estimation Using Automatic Differentiation
Journal of Geophysical Research: Machine Learning and Computation, Volume 1, Issue 4, December 2024.Abstract Continuous wave signals from a network of high frequency (HF) beacons in Peru and other instruments are used to reconstruct the regional ionospheric electron number density in the volume surrounding the network. The continuous wave (CW) HF signals employ binary phase codes with pseudorandom noise (PRN) encoding, and the observables include ...
Jhassmin A. Aricoche, David L. Hysell
wiley +1 more source
Numerical Methods for Partial Differential Equations, Volume 40, Issue 6, November 2024.Abstract The space‐time generalized Riemann problems method allows to obtain numerical schemes of arbitrary high order that can be used with very large time steps for systems of linear hyperbolic conservation laws with source term. They have been introduced in Berthon et al. (J. Sci. Comput. 55 (2013), 268–308.) in 1D and on 2D unstructured meshes made
Rodolphe Turpault
wiley +1 more source
Fast and reliable symplectic integration for planetary system $N$-body problems
, 2016 We apply one of the exactly symplectic integrators, that we call HB15, of \cite{HB15}, along with the Kepler problem solver of \cite{WH15}, to solve planetary system $N$-body problems.
Hernandez, David M.
core +1 more source
A taxonomy of automatic differentiation pitfalls
WIREs Data Mining and Knowledge Discovery, Volume 14, Issue 6, November/December 2024.Automatic differentiation is a popular technique for computing derivatives of computer programs in countless engineering, science and machine learning applications. In this paper we categorize problematic usages of automatic differentiation that can lead to surprising results, and illustrate each category with examples such as chaos, time‐averages ...
Jan Hückelheim +5 more
wiley +1 more source