Results 31 to 40 of about 987 (227)
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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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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Non‐Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
Earth's Future, 2022 Tides are often the largest source of sea levels fluctuations. Two new probabilistic tsunami hazard assessments (PTHA) methods are proposed to combine the tidal phase uncertainty at the moment of tsunami occurrence with other sources of uncertainty.
Ignacio Sepúlveda +4 more
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A stochastic collocation method for stochastic Volterra equations of the second kind [PDF]
Journal of Integral Equations and Applications, 2015 This work describes and analyzes a stochastic collocation method for stochastic Volterra integral equations (SVIEs) of the second kind with random forcing terms. A collocation method is used in temporal direction, and a spectral collocation method is used in the stochastic dimension, which lead to an uncoupled linear system associated with the ...
Cao, Yanzhao, Zhang, Ran
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ESAIM: Proceedings and Surveys, 2014 In this work, we present a numerical analysis of a method which combines a deterministic and a probabilistic approaches to quantify the migration of a contaminant, under the presence of uncertainty on the permeability of the porous ...
Erhel Jocelyne +2 more
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Greedy nonlinear autoregression for multifidelity computer models at different scales
Energy and AI, 2020 Although the popular multi-fidelity surrogate models, stochastic collocation and nonlinear autoregression have been applied successfully to multiple benchmark problems in different areas of science and engineering, they have certain limitations.
W. Xing +4 more
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Partial Differential Equations in Applied Mathematics, 2022 Backward stochastic differential equation solver was first introduced by Han et al in 2017. A semilinear parabolic partial differential equation is converted into a stochastic differential equation, and then solved by the backward stochastic differential
Evan Davis +4 more
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A Novel Method for Solving Second Kind Volterra Integral Equations with Discontinuous Kernel
Mathematics, 2021 Load leveling problems and energy storage systems can be modeled in the form of Volterra integral equations (VIE) with a discontinuous kernel. The Lagrange–collocation method is applied for solving the problem. Proving a theorem, we discuss the precision
Samad Noeiaghdam, Sanda Micula
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AIP AdvancesThis paper proposed a Legendre-based multi-element probabilistic collocation method for time-dependent stochastic differential equations, used for density estimation of unknown functions.
Hongling Xie
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Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
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