Results 41 to 50 of about 767,107 (236)
Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison [PDF]
AIAA AVIATION 2020 FORUM, 2020 This paper presents a comparison of two methods for the forward uncertainty quantification (UQ) of complex industrial problems. Specifically, the performance of Multi-Index Stochastic Collocation (MISC) and adaptive multi-fidelity Stochastic Radial Basis
Chiara Piazzola +5 more
semanticscholar +1 more source
Numerical analysis of stochastic SIR model by Legendre spectral collocation method
Advances in Mechanical Engineering, 2019 This article represents Legendre spectral collocation method based on Legendre polynomials to solve a stochastic Susceptible, infected, Recovered (SIR) model.
Sami Ullah Khan, Ishtiaq Ali
doaj +1 more source
Mathematics, 2022 In this study, we consider a nonlinear system of three connected delay differential neoclassical growth models along with stochastic effect and additive white noise, which is influenced by stochastic perturbation.
Ishtiaq Ali, Sami Ullah Khan
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SIMPLEX STOCHASTIC COLLOCATION FOR PIECEWISE SMOOTH FUNCTIONS WITH KINKS [PDF]
International Journal for Uncertainty Quantification, 2020 Most approximation methods in high dimensions exploit smoothness of the function being approximated. These methods provide poor convergence results for non-smooth functions with kinks. For example, such kinks can arise in the uncertainty quantification of quantities of interest for gas networks.
Fuchs, Barbara, Garcke, Jochen
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Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques [PDF]
, 2014 Process variations are a major concern in today's chip design since they can significantly degrade chip performance. To predict such degradation, existing circuit and MEMS simulators rely on Monte Carlo algorithms, which are typically too slow. Therefore,
Daniel, Luca +7 more
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Results in Applied Mathematics, 2022 In this article, we present a numerical method to approximate for solving nonlinear Stochastic Itô–Volterra integral equations. This method is based on the modification of hat functions (MHFs) that introduce an operational matrix of integration.
Fatemeh Sharafi, Behrooz Basirat
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Hybrid Stochastic Finite Element Method for Mechanical Vibration Problems
Shock and Vibration, 2015 We present and analyze a new hybrid stochastic finite element method for solving eigenmodes of structures with random geometry and random elastic modulus.
Harri Hakula, Mikael Laaksonen
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Sensors, 2016 The efficiency of a wireless power transfer (WPT) system in the radiative near-field is inevitably affected by the variability in the design parameters of the deployed antennas and by uncertainties in their mutual position.
Marco Rossi +3 more
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Numerical Solution of Nonlinear Backward Stochastic Volterra Integral Equations
Axioms, 2023 This work uses the collocation approximation method to solve a specific type of backward stochastic Volterra integral equations (BSVIEs). Using Newton’s method, BSVIEs can be solved using block pulse functions and the corresponding stochastic operational
Mahvish Samar +2 more
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Stochastic heat transfer simulation of the cure of advanced composites [PDF]
, 2015 A stochastic cure simulation approach is developed to investigate the variability of the cure process during resin infusion related to thermal effects. Boundary condition uncertainty is quantified experimentally and appropriate stochastic processes are ...
Long, A. C. +2 more
core +1 more source