Results 51 to 60 of about 2,390 (186)

Compressive sensing adaptation for polynomial chaos expansions [PDF]

Journal of Computational Physics, 2019
Submitted to Journal of Computational ...
Panagiotis Tsilifis, Xun Huan, Cosmin Safta, Khachik Sargsyan, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm, Roger G. Ghanem   +7 more
openaire   +4 more sources

Polynomial Chaos Expansion Approach to Interest Rate Models

Journal of Probability and Statistics, 2015
The Polynomial Chaos Expansion (PCE) technique allows us to recover a finite second-order random variable exploiting suitable linear combinations of orthogonal polynomials which are functions of a given stochastic quantity ξ, hence acting as a kind of ...
Luca Di Persio, Gregorio Pellegrini, Michele Bonollo   +2 more
doaj   +1 more source

Monitoring shallow geothermal aquifers with active‐source distributed acoustic sensing: A prognostic feasibility study on the University of Leeds Geothermal Campus

Near Surface Geophysics, EarlyView.
Abstract The United Kingdom's shallow aquifers offer significant but underdeveloped geothermal energy resource. Seismic methods can help address this by improving the understanding of aquifer heterogeneity and potentially allowing long‐term monitoring of thermal plumes.
Adam D. Booth, Roger A. Clark, Andy Nowacki, Ravi Myanger, Joseph Kelly, Sjoerd de Ridder, Arka Dyuti Sarkar, Fleur Loveridge, Richard Collier, Emma Bramham, David Healy   +10 more
wiley   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

Polynomial Chaos Expansion of a Multimodal Random Vector [PDF]

SIAM/ASA Journal on Uncertainty Quantification, 2015
A methodology and algorithms are proposed for constructing the polynomial chaos expansion (PCE) of multimodal random vectors. An algorithm is developed for generating independent realizations of any multimodal multivariate probability measure that is constructed from a set of independent realizations using the Gaussian kernel-density estimation method.
openaire   +2 more sources

Time‐Dependent Polynomial Chaos

AIP Conference Proceedings, 2008
Conventional generalized polynomial chaos is known to fail for long time integration, loosing its optimal convergence behaviour and developing unacceptable error levels. The reason for this loss of convergence is the assumption that the probability density function is constant in time.
Marc Gerritsma, Peter Vos, Jan‐Bart van der Steen   +2 more
openaire   +4 more sources

Time-Dependent Reliability-Based Design Optimization Utilizing Nonintrusive Polynomial Chaos

Journal of Applied Mathematics, 2013
Time-dependent reliability-based design optimization (RBDO) has been acknowledged as an advance optimization methodology since it accounts for time-varying stochastic nature of systems. This paper proposes a time-dependent RBDO method considering both of
Yao Wang, Shengkui Zeng, Jianbin Guo
doaj   +1 more source

Molecular Friction Trumps Viscosity in Angstrofluidic Transport

Small, EarlyView.
Single‐file transport through sub‐1 nm graphene nanopore and carbon nanotube is investigated using molecular dynamics and ergodic trajectory sampling. The study shows that confinement geometry and wall‐fluid interaction strength govern molecular mobility, allowing atomistic motion to be translated into a continuum‐based resistance coefficient for ...
Jaber Al Hossain, Murat Barisik, Chirodeep Bakli, Suman Chakraborty, BoHung Kim   +4 more
wiley   +1 more source

An Efficient Polynomial Chaos Method for Stiffness Analysis of Air Spring Considering Uncertainties

Complexity, 2021
Traditional methods for stiffness analysis of the air spring are based on deterministic assumption that the parameters are fixed. However, uncertainties have widely existed, and the mechanic property of the air spring is very sensitive to these ...
Feng Kong, Penghao Si, Shengwen Yin
doaj   +1 more source

Intersectional Identities of Men and Their Influence on Children's Gender Socialization in Family Settings: A Systematic Review

Journal of Family Theory &Review, EarlyView.
ABSTRACT Gender socialization is a lifelong process that guides children in shaping their identities, opportunities, and perspectives during early years. Within the family environment, men hold a pivotal position, influenced by tradition, economic factors, and family structure, which significantly impacts the socialization of children.
Habtamu Wondimu, Sonia Martin, Helen McLaren   +2 more
wiley   +1 more source