Results 91 to 100 of about 647,764 (285)
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes +4 more
wiley +1 more source
Recent Cloud Controlling Factor Analyses Indicate Higher Climate Sensitivity
Abstract Cloud feedback is a dominant source of uncertainty in climate model estimates of equilibrium climate sensitivity (ECS). Cloud controlling factor analysis can observationally constrain cloud feedback. For the first time, we use separate rather than unified frameworks to assess high‐ and low‐cloud feedbacks and constrain the net cloud feedback ...
Sarah Wilson Kemsley +2 more
wiley +1 more source
Complementary Romanovski-Routh polynomials and their zeros
The efficacy of numerical methods like integral estimates via Gaussian quadrature formulas depends on the localization of the zeros of the associated family of orthogonal polynomials.
L. L. Silva Ribeiro +2 more
doaj +1 more source
Convergence of Gaussian Quadrature Formulas
Classical Gaussian formulas are well known. They construct a polynomial interpolating in the zeros of a polynomial orthogonal with respect to a positive measure \(\alpha\) and the integral of this polynomial is a quadrature formula for \(\int f(x) d\alpha(x)\) with maximal polynomial degree of exactness.
openaire +2 more sources
This comprehensive study advances delamination analysis in composites through innovative computational methods, experimental validation techniques, and predictive algorithms, collectively enhancing damage progression prediction and structural health monitoring for improved integrity in high‐performance applications.
Dhivya Elumalai +4 more
wiley +1 more source
Boundary integral based polygon wall representation in the MPS method
The particle methods are suited to simulate fluid flow problems with large boundary deformation. The moving particle semi-implicit (MPS) method is one of the representative particle methods for incompressible flow.
Takuya MATSUNAGA +2 more
doaj +1 more source
Abstract Purpose To develop an experimental method for measuring the labeling efficiency of pseudo‐continuous arterial spin labeling (pCASL) MRI in mice. Methods We propose a method using bidirectional crusher gradients to modulate vascular signals in the azygos pericallosal artery (azPA) of the mouse brain, applied with and without pCASL labeling. The
Xiuli Yang +5 more
wiley +1 more source
Generalized Gaussian Birkhoff Quadrature Formulas
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Error estimates of Gaussian-type quadrature formulae for analytic functions on ellipses-a survey of recent results [PDF]
Dušan Lj. Djukić +3 more
openalex +1 more source
Model‐Free Data‐Driven Computational Analysis for Soil Consolidation Problems
ABSTRACT Soils are inherently uncertain natural materials. In geotechnical engineering, soil properties are fundamentally characterised by testing small samples. The results will then be utilised to determine appropriate geomaterial constitutive models and associated parameters for implementation in conventional computational procedures such as finite ...
Wuzhou Zhai +3 more
wiley +1 more source

