Results 11 to 20 of about 2,937 (188)
On the positivity of solutions of systems of stochastic PDEs [PDF]
AbstractWe study the positivity of solutions of a class of semi‐linear parabolic systems of stochastic partial differential equations by considering random approximations. For the family of random approximations we derive explicit necessary and sufficient conditions such that the solutions preserve positivity.
J. Cresson, M. Efendiev, Stefanie Sonner
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Fourier Transform on the Homogeneous Space of 3D Positions and Orientations for Exact Solutions to Linear PDEs [PDF]
Fokker–Planck PDEs (including diffusions) for stable Lévy processes (including Wiener processes) on the joint space of positions and orientations play a major role in mechanics, robotics, image analysis, directional statistics and probability theory.
Remco Duits +2 more
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Symmetry And Monotonicity Properties For Positive Solutions Of Semi-Linear Elliptic PDE'S [PDF]
(2000). Symmetry And Monotonicity Properties For Positive Solutions Of Semi-Linear Elliptic PDE'S. Communications in Partial Differential Equations: Vol. 25, No. 5-6, pp. 1153-1169.
Dolbeault, Jean, Felmer, Patricio
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Existence and multiplicity of positive solutions for classes of singular elliptic PDEs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chhetri, Maya, Robinson, Stephen B.
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We consider a so-called random obstacle model for the motion of a hypersurface through a field of random obstacles, driven by a constant driving field. The resulting semi-linear parabolic PDE with random coefficients does not admit a global nonnegative stationary solution, which implies that an interface that was flat originally cannot get stationary ...
Coville, Jérôme +2 more
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Neuronal activation leads to astrocytic transient volume changes, activating transient receptor potential ankyrin 1 (TRPA1) channels, leading to Ca2+ influx. Activation of TRPA1 causes the release of D‐serine through BEST1. Finally, the augmented extracellular levels of D‐serine boost neuronal activity by binding GluN1‐containing NMDARs, leading to CBV
Kayoung Han +11 more
wiley +1 more source
The current research presents a mathematical model to study the flow of a non-Newtonian magnetohydrodynamics (MHD) Casson-Carreau nanofluid (CCNF) over a stretching porous surface, considering mass and heat transport rates with Stefan blowing, non-linear
Musharafa Saleem, Majid Hussain
doaj +1 more source
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei +3 more
wiley +1 more source
This paper investigates rumor dissemination dynamics with generalized nonlinear incidence in multilingual environments. We propose a novel stochastic modeling framework that integrates age structure, mandatory isolation mechanisms, and media intervention.
Tingting Zhou +3 more
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This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source

