Results 181 to 190 of about 51,774 (314)
Sparse graph signals – uncertainty principles and recovery
GAMM-Mitteilungen, Volume 48, Issue 2, June 2025.ABSTRACT We study signals that are sparse either on the vertices of a graph or in the graph spectral domain. Recent results on the algebraic properties of random integer matrices as well as on the boundedness of eigenvectors of random matrices imply two types of support size uncertainty principles for graph signals.
Tarek Emmrich +2 more
wiley +1 more source
A Skillful Prediction of Monsoon Intraseasonal Oscillation Using Deep Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.Abstract The northward‐propagating 30–60 days mode of monsoon rainfall anomalies over India, commonly referred to as the monsoon intraseasonal oscillation (MISO), plays a critical role in driving the active and break spells over the monsoon zone of the country.
K. M. Anirudh +4 more
wiley +1 more source
Spatial modeling of crime dynamics: Patch and reaction–diffusion compartmental systems
Mathematical Methods in the Applied Sciences, Volume 48, Issue 7, Page 7440-7459, 15 May 2025.We study the dynamics of abstract models for crime evolution. The population is divided into three compartments, taking into account the participation in crime and incarceration. Individuals transit between the three segments, assuming that having more contact with criminally active people increases one's risk of learning and acquiring the same traits;
Julia Calatayud +2 more
wiley +1 more source
A bounded dynamical network of curves and the stability of its steady states
Mathematical Methods in the Applied Sciences, Volume 48, Issue 7, Page 7906-7917, 15 May 2025.In this article, we study the dynamic behavior of a network that consists of curves that are in motion and bounded. We first focus on the construction of the model which is a system of nonlinear partial differential equations (PDEs). This system is subject to four conditions: angle and intersection conditions between the curves at the point that they ...
Ioannis Dassios +2 more
wiley +1 more source
Brownian bridges for contained random walks
AIChE Journal, Volume 71, Issue 5, May 2025.Abstract Using linear operator techniques, we demonstrate an efficient method for investigating rare events in stochastic processes. Specifically, we examine contained trajectories, which are continuous random walks that only leave a specified region of phase space after a set period of time T.
George Curtis +2 more
wiley +1 more source
Numerical Methods for Partial Differential Equations, Volume 41, Issue 3, May 2025.ABSTRACT We present a model reduction approach for the real‐time solution of time‐dependent nonlinear partial differential equations (PDEs) with parametric dependencies. A major challenge in constructing efficient and accurate reduced‐order models for nonlinear PDEs is the efficient treatment of nonlinear terms.
Ngoc Cuong Nguyen
wiley +1 more source
Revisiting Schrödinger's fourth-order, real-valued wave equation and the implication from the resulting energy levels. [PDF]
R Soc Open Sci, 2023 Makris N.
europepmc +1 more source
Journal of Geophysical Research: Solid Earth, Volume 130, Issue 5, May 2025.Abstract Opposite‐direction oceanic wave interactions at the ocean surface generate microseisms between 0.1 and ∼ ${\sim} $0.5 Hz, known as secondary microseisms (SM). SM recordings aid in imaging Earth's crust, but they also impede monitoring seismic signals due to tectonic activities.
Zongbo Xu +3 more
wiley +1 more source
On vanishing near corners of transmission eigenfunctions [PDF]
, 2017 E. Blaasten, Hongyu Liu
semanticscholar +1 more source
ROSSMIX 2.0: A Simplified Meso‐Scale Eddy Closure Applied to a Realistic Ocean Model
Journal of Advances in Modeling Earth Systems, Volume 17, Issue 5, May 2025.Abstract A new closure, ROSSMIX 2.0, for the effect of meso‐scale eddies in non‐eddy‐resolving ocean models is presented and evaluated. It combines aspects of several previous closures in a simplified approach: local linear stability analysis is used to predict the vertical and lateral shape of eddy correlations, while a wave energy equation co ...
Carsten Eden, Jan Dettmer
wiley +1 more source