Results 101 to 110 of about 1,606 (214)
, 2014 Stochastic spectral methods are efficient techniques for uncertainty quantification. Recently they have shown excellent performance in the statistical analysis of integrated circuits.
Daniel, Luca +3 more
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, 2012 Initial boundary value problems of linear second-order hyperbolic partial differential equations whose coefficients depend on countably many random parameters are reduced to a parametric family of deterministic initial boundary value problems on an ...
Schwab, Christoph., Hoang, Viet Ha.
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Improving adaptive generalized polynomial chaos method to solve nonlinear random differential equations by the random variable transformation technique [PDF]
, 2017 [EN] Generalized polynomial chaos (gPC) is a spectral technique in random space to represent random variables and stochastic processes in terms of orthogonal polynomials of the Askey scheme.
M.-D. Roselló +7 more
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Uncertainty Quantification for a Blood Pump Device with Generalized Polynomial Chaos Expansion [PDF]
, 2018 Nowadays, an increasing number of numerical modeling techniques, notably by means of the finite element method (FEM), are involved in the industrial design process and play a vital role in the area of the biomedical engineering. Particularly, the computational fluid dynamics (CFD) has become a promising tool for investigating the fluid behavior and has
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, 2015 S.25-40In many fields, active research is currently focused on quantification and simulation of model uncertainties. The latter are often described probabilistically, allowing for the accurate and detailed answers but necessitating extensive computations.
Janya-anurak, C.
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, 2018 International audienceThis chapter is concerned with the construction of polynomial surrogates of complex configurations arising in computational fluid dynamics for the purpose of propagating uncertainties pertaining to geometrical and/or operational ...
Couaillier, Vincent, Savin, Eric
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A non-linear and stochastic response surface method for Bayesian estimation of uncertainty in soil moisture simulation from a land surface model [PDF]
Nonlinear Processes in Geophysics, 2004 This study presents a simple and efficient scheme for Bayesian estimation of uncertainty in soil moisture simulation by a Land Surface Model (LSM). The scheme is assessed within a Monte Carlo (MC) simulation framework based on the Generalized Likelihood ...
F. Hossain, E. N. Anagnostou, K.-H. Lee
doaj
Solving Continuous Models with Dependent Uncertainty: A Computational Approach
Abstract and Applied Analysis, 2013 This paper presents a computational study on a quasi-Galerkin projection-based method to deal with a class of systems of random ordinary differential equations (r.o.d.e.’s) which is assumed to depend on a finite number of random variables (r.v.’s).
J.-C. Cortés +4 more
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Ain Shams Engineering JournalIn this paper, we present a dynamic model of syphilis. The goal of this work is to provide a mathematical model for syphilis disease that contains information about the suspect, infected, recovered, and exposed.
Muhammad Farman +5 more
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