Импакт фактор:
3.259
5-летний Импакт фактор:
2.547
SJR:
0.417
SNIP:
0.8
CiteScore™:
1.52
ISSN Печать: 2152-5080
Свободный доступ
Выпуски:
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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 |
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