Results 121 to 130 of about 136,395 (275)
Geophysical Research Letters, Volume 52, Issue 13, 16 July 2025.Abstract Advanced Interferometric Synthetic Aperture Radar (InSAR) data has led to an extensive observation of Earth's surface displacements. Whereas the combined use of high‐resolution InSAR, leveling and GPS data may enable highly detailed three‐dimensional deformation models, publicly available modeling and inversion algorithms either seek a single ...
Luis A. Gallardo +3 more
wiley +1 more source
A Jacobi Dual-Petrov-Galerkin Method for Solving Some Odd-Order Ordinary Differential Equations
Abstract and Applied Analysis, 2011 A Jacobi dual-Petrov-Galerkin (JDPG) method is introduced and used for solving fully integrated reformulations of third- and fifth-order ordinary differential equations (ODEs) with constant coefficients.
E. H. Doha, A. H. Bhrawy, R. M. Hafez
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Application of the Jacobi—Davidson Method to Spectral Calculations in Magnetohydrodynamics [PDF]
, 2000 A. J. C. Beliën +4 more
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Stimulated Raman Scattering with Optical Vortex Beams
Advanced Photonics Research, Volume 6, Issue 7, July 2025.This study presents exact analytical expressions for stimulated Raman scattering with Laguerre‐Gaussian beams, revealing signal dependence on topological and hyperbolic momentum. The results provide a theoretical foundation for coherent Raman imaging and detecting orbital angular momentum of light via structured light in nonlinear optics.
Minhaeng Cho
wiley +1 more source
Theoretical and Applied Mechanics Letters, 2021 Lacking labeled examples of working numerical strategies, adapting an iterative solver to accommodate a numerical issue, e.g., density discontinuities in the pressure Poisson equation, is non-trivial and usually involves a lot of trial and error.
T.-R. Xiang, X.I.A. Yang, Y.-P. Shi
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A modification of the Jacobi-Davidson method
, 2019 Each iteration in Jacobi-Davidson method for solving large sparse eigenvalue problems involves two phases, called subspace expansion and eigen pair extraction. The subspace expansion phase involves solving a correction equation. We propose a modification to this by introducing a related correction equation, motivated by the least squares.
openaire +2 more sources
Reinforcement learning for optimal control of stochastic nonlinear systems
AIChE Journal, Volume 71, Issue 7, July 2025.Abstract A reinforcement learning (RL) approach is developed in this work for nonlinear systems under stochastic uncertainty. A stochastic control Lyapunov function (SCLF) candidate is first constructed using neural networks (NNs) as an approximator to the value function, and then a control policy designed using this SCLF is developed to ensure the ...
Xinji Zhu, Yujia Wang, Zhe Wu
wiley +1 more source
Results in Physics, 2022 In this study, the Fokas system which represents the spread of irregular pulse in monomode optical fibers is investigated via the Jacobi elliptic function expansion (JEFE) method. This method is the most powerful technique to explore solutions for a wide
Sibel Tarla +4 more
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The robust Orlicz risk with an application to the green photovoltaic power generation
Asian Journal of Control, Volume 27, Issue 4, Page 1655-1667, July 2025.Abstract We propose a novel recursive utility for controlling stochastic processes under risk and uncertainty. Our formulation uses a robustified Orlicz risk that can evaluate risk and uncertainty simultaneously. We focus on the control problem of a photovoltaic power generation system that supplies excess electricity for the secondary purpose of ...
Hidekazu Yoshioka, Motoh Tsujimura
wiley +1 more source
Approximation of eigenvalues of some unbounded self-adjoint discrete Jacobi matrices by eigenvalues of finite submatrices [PDF]
Opuscula Mathematica, 2007 We investigate the problem of approximation of eigenvalues of some self-adjoint operator in the Hilbert space \(l^2(\mathbb{N})\) by eigenvalues of suitably chosen principal finite submatrices of an infinite Jacobi matrix that defines the operator ...
Maria Malejki
doaj