Results 61 to 70 of about 7,840 (182)
Variable and Extended Precision (VRP) Accelerator Implemented in a 22 nm SoC
We implemented a variable extended precision accelerator, with support of up to 512‐bit precision, in a 22 nm system‐on‐chip. We demonstrate its ability to improve convergence of linear solver by running conjugate gradient methods on the chip at 800 MHz working frequency.
Eric Guthmuller +5 more
wiley +1 more source
The Erlangian approximation of Markovian fluid queues leads to the problem of computing the matrix exponential of a subgenerator having a block-triangular, block-Toeplitz structure.
Bini, D. A. +3 more
core +1 more source
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
Fast and reliable symplectic integration for planetary system $N$-body problems
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
Calculation of Green's functions for heat conduction in curved anisotropic media
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
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
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
Ionospheric Radio Beacon Signal Analysis and Parameter Estimation Using Automatic Differentiation
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 integrations in celestial mechanics often involve the repeated computation of a rotation with a constant angle. A direct evaluation of these rotations yields a linear drift of the distance to the origin.
Danby +11 more
core +1 more source
Accuracy and speed in computing the Chebyshev collocation derivative [PDF]
We studied several algorithms for computing the Chebyshev spectral derivative and compare their roundoff error. For a large number of collocation points, the elements of the Chebyshev differentiation matrix, if constructed in the usual way, are not ...
Don, Wai-Sun, Solomonoff, Alex
core +1 more source

