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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal for Uncertainty Quantification

Импакт фактор: 1.000

ISSN Печать: 2152-5080
ISSN Онлайн: 2152-5099

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International Journal for Uncertainty Quantification

Купить выпуск $170.00 Том 6, 2016 Выпуск 4

DOI: 10.1615/Int.J.UncertaintyQuantification.v6.i4

Содержание:

A PRIORI ERROR ANALYSIS OF STOCHASTIC GALERKIN PROJECTION SCHEMES FOR RANDOMLY PARAMETRIZED ORDINARY DIFFERENTIAL EQUATIONS
Christophe Audouze , Prasanth B. Nair
pages 287-312
DOI: 10.1615/Int.J.UncertaintyQuantification.2016015843
SURROGATE MODELING FOR STOCHASTIC DYNAMICAL SYSTEMS BY COMBINING NONLINEAR AUTOREGRESSIVE WITH EXOGENOUS INPUT MODELS AND POLYNOMIAL CHAOS EXPANSIONS
Chu V. Mai, Minas D. Spiridonakos, Eleni N. Chatzi, Bruno Sudret
pages 313-339
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016603
TRANSITIONAL ANNEALED ADAPTIVE SLICE SAMPLING FOR GAUSSIAN PROCESS HYPER-PARAMETER ESTIMATION
Alfredo Garbuno-Inigo, F. A. DiazDelaO, Konstantin M. Zuev
pages 341-359
DOI: 10.1615/Int.J.UncertaintyQuantification.2016018590
NOVEL SINGLE-VALUED NEUTROSOPHIC AGGREGATED OPERATORS UNDER FRANK NORM OPERATION AND ITS APPLICATION TO DECISION-MAKING PROCESS
Nancy, Harish Garg
pages 361-375
DOI: 10.1615/Int.J.UncertaintyQuantification.2016018603