Results 61 to 70 of about 7,268 (236)
Embracing Complexity in HRM Research: A Call for System and Process Perspectives
Human Resource Management, EarlyView.ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT The numerical approximation of nonlinear chaotic differential systems, such as the modified stretch‐twist‐fold (STF) flow and multi‐bond chaotic attractors, presents a significant challenge due to their sensitive dependence on initial conditions and complex dynamics where analytical solutions are unattainable.
Shina Daniel Oloniiju, Anastacia Dlamini
wiley +1 more source
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 +2 more
doaj +1 more source
Multiobjective design optimization of a quadrupole resonator under uncertainties
Physical Review Accelerators and Beams, 2022 For a precise determination of the rf properties of superconducting materials, a calorimetric measurement is carried out with the aid of a so-called quadrupole resonator (QPR).
Piotr Putek +3 more
doaj +1 more source
Compressive sensing adaptation for polynomial chaos expansions [PDF]
Journal of Computational Physics, 2019 Submitted to Journal of Computational ...
Panagiotis Tsilifis +7 more
openaire +3 more sources
T(w)o Patch or Not T(w)o Patch: A Novel Biocontrol Model
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT A number of top‐down biocontrol models have been proposed where the introduced predators' efficacy is enhanced via the provision of additional food (AF). However, if the predator has a pest‐dependent monotone functional response, pest extinction is unattainable. In the current manuscript, we propose a model where a predator with pest‐dependent
Urvashi Verma +2 more
wiley +1 more source
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT To address the dual challenges of routine driving vibration and impact loads in vehicle seat suspensions, a novel variable‐gap magnetorheological damper (VGMRD) is proposed. By combining a tapered piston with a conformal variable‐diameter cylinder, stroke‐dependent, dual‐mode damping characteristics are achieved without the need for complex ...
Min Wei +4 more
wiley +1 more source
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
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
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 +1 more
wiley +1 more source