Results 101 to 110 of about 7,268 (236)

Uncertainty quantification (UQ)

, 2011
This paper was presented at the 3rd Micro and Nano Flows Conference (MNF2011), which was held at the Makedonia Palace Hotel, Thessaloniki in Greece.
Karniadakis, GE, 3rd Micro and Nano Flows Conference (MNF2011)   +1 more
core  

Uncertainty quantification of multi-scale resilience in networked systems with nonlinear dynamics using arbitrary polynomial chaos. [PDF]

Sci Rep, 2023
Zou M, Fragonara LZ, Qiu S, Guo W.
europepmc   +1 more source

The feasibility principle in community ecology

Oikos, Volume 2026, Issue 6, June 2026.
The structure and function of ecological communities emerge from interactions among populations within specific environmental contexts. Yet we still lack general principles that explain how communities assemble, which patterns we should expect, and when transitions occur across diverse settings.
Serguei Saavedra
wiley   +1 more source

Time-Dependent Polynomial Chaos

, 2006
Generalized polynomial chaos is known to fail for long-term integration, loosing its optimal convergence behavior and developing unacceptable error-levels.
Vos, P. (author)
core  

Stability of Real Parametric Polynomial Discrete Dynamical Systems

Discrete Dynamics in Nature and Society, 2015
We extend and improve the existing characterization of the dynamics of general quadratic real polynomial maps with coefficients that depend on a single parameter λ and generalize this characterization to cubic real polynomial maps, in a consistent theory
Fermin Franco-Medrano, Francisco J. Solis   +1 more
doaj   +1 more source

Time- and Frequency-Domain Evaluation of Stochastic Parameters on Signal Lines

Advanced Electromagnetics, 2012
This paper focuses on the derivation of enhanced transmission-line models allowing to describe, in time and frequency domain, a realistic interconnect with the inclusion of external uncertainties, like process variations or routing and layout ...
P. Manfredi, I. S. Stievano, F. G. Canavero   +2 more
doaj   +1 more source

Sensitivity analysis of queueing models based on polynomial chaos approach. [PDF]

Arab J Math, 2021
Ameur L, Bachioua L.
europepmc   +1 more source

Uncertainty should be the rule, not the exception: Integrating fibre orientation variability in cardiac electrophysiology modelling

The Journal of Physiology, EarlyView.
Ovais Ahmed Jaffery, Caroline Helen Roney   +1 more
wiley   +1 more source

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics

International Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 4957-4970, June 2026.
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf, Andreas Völz, Knut Graichen   +2 more
wiley   +1 more source

Reliability polynomial chaos metamodel for the dynamic behaviour of reinforced concrete bridges

Advances in Bridge Engineering
The approximation of complex engineering problems and mathematical regressions serves as the authentic inspiration behind the artificial intelligence metamodeling methods.
Hicham Lamouri, Mouna EL Mkhalet, Nouzha Lamdouar   +2 more
doaj   +1 more source