Results 91 to 100 of about 691 (194)

Exposing and Reducing Biases of Simulating Mixed‐Phase Clouds in the Convection‐Permitting E3SM Atmosphere Model: Lessons From an Arctic Cold‐Air Outbreak

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 3, 16 February 2026.
Abstract Mixed‐phase clouds modulate the water and energy cycles of high‐latitude regions, yet their liquid‐ice phase partitioning has long been poorly simulated in climate models. Here, simulations of Arctic mixed‐phase clouds by the Simple Cloud‐Resolving E3SM Atmosphere Model (SCREAM) are assessed against large‐eddy simulations, satellite data, and ...
Lin Lin, Yunyan Zhang, Hassan Beydoun, Xue Zheng, Meng Zhang, Peter Bogenschutz, Peng Wu, Peter M. Caldwell   +7 more
wiley   +1 more source

Hyper‐Reduced Model Based on the Proper Orthogonal Decomposition and the LU Factorization Applied to the Neutron Diffusion Eigenvalue Problem

International Journal for Numerical Methods in Engineering, Volume 127, Issue 3, 15 February 2026.
ABSTRACT An efficient method for solving large eigenvalue problems efficiently can be developed using hyper‐reduced order models, such as those arising from the LU Proper Orthogonal Decomposition (LUPOD). The LUPOD employs dominant orthogonal modes along with a flexible number of collocation points to establish a reduced scalar product, thereby ...
A. Vidal‐Ferràndiz, A. Carreño, E. Javaloyas, D. Ginestar, G. Verdú   +4 more
wiley   +1 more source

Uncertainty Quantification for the Transient Response of Human Equivalent Antenna Using the Stochastic Collocation Approach

International Journal of Antennas and Propagation, 2019
The paper deals with the uncertainty quantification of the transient axial current induced along the human body exposed to electromagnetic pulse radiation. The body is modeled as a straight wire antenna whose length and radius exhibit random nature.
Anna Šušnjara, Dragan Poljak
doaj   +1 more source

Stochastic collocation and stochastic Galerkin methods for linear differential algebraic equations

Journal of Computational and Applied Mathematics, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

A RBF partition of unity collocation method based on a finite difference scheme to solve parabolic stochastic partial differential equations

پژوهش‌های ریاضی, 2021
Meshfree methods based on radial basis functions (RBFs) are popular tools for the numerical solution of parabolic stochastic partial differential equations (PSPDEs).
Mohsen Esmaeilbeigi, Omid Chatrabgoun, Maryam Shafa   +2 more
doaj  

Integral Reinforcement Learning-Based Stochastic Guaranteed Cost Control for Time-Varying Systems with Asymmetric Saturation Actuators

Actuators
This study explores a stochastic guarantee cost control (GCC) for time-varying systems with random parameters and asymmetric saturation actuators by employing the integral reinforcement learning (IRL) method in the dynamic event-triggered (DET) mode ...
Yuling Liang, Mengjia Xie, Juan Zhang, Zhongyang Ming, Zhiyun Gao   +4 more
doaj   +1 more source

An RBF-LOD Method for Solving Stochastic Diffusion Equations

Journal of Mathematics
In this study, we introduce an innovative approach to solving stochastic equations in two and three dimensions, leveraging a time-splitting strategy. Our method combines radial basis function (RBF) spatial discretization with the Crank–Nicolson scheme ...
Samaneh Mokhtari, Ali Mesforush, Reza Mokhtari, Rahman Akbari   +3 more
doaj   +1 more source

Collocation method for stochastic delay differential equations

Probabilistic Engineering Mechanics, 2023
Gergő Fodor, Henrik T. Sykora, Dániel Bachrathy   +2 more
openaire   +1 more source

SPARSE GRID STOCHASTIC COLLOCATION METHOD FOR STOCHASTIC BURGERS EQUATION

Journal of the Korean Mathematical Society, 2017
Hyung-Chun Lee, Yun Nam
openaire   +2 more sources