International Journal for Uncertainty Quantification
Выходит 6 номеров в год
ISSN Печать: 2152-5080
ISSN Онлайн: 2152-5099
IF:
1.7
5-Year IF:
1.9
Immediacy Index:
0.5
Eigenfactor:
0.0007
JCI:
0.5
SJR:
0.584
SNIP:
0.676
CiteScore™::
3
H-Index:
25
Indexed in
Том 5, 2015 Выпуск 1
DOI: 10.1615/Int.J.UncertaintyQuantification.v5.i1
MINIMAL SPARSE SAMPLING FOR FOURIER-POLYNOMIAL CHAOS IN ACOUSTIC SCATTERING
pp. 1-20
DOI: 10.1615/Int.J.UncertaintyQuantification.2015010084
A MIXED UNCERTAINTY QUANTIFICATION APPROACH USING EVIDENCE THEORY AND STOCHASTIC EXPANSIONS
pp. 21-48
DOI: 10.1615/Int.J.UncertaintyQuantification.2015010941
A GRADIENT-BASED SAMPLING APPROACH FOR DIMENSION REDUCTION OF PARTIAL DIFFERENTIAL EQUATIONS WITH STOCHASTIC COEFFICIENTS
pp. 49-72
DOI: 10.1615/Int.J.UncertaintyQuantification.2014010945
BAYESIAN INFERENCE FOR INVERSE PROBLEMS OCCURRING IN UNCERTAINTY ANALYSIS
pp. 73-98
DOI: 10.1615/Int.J.UncertaintyQuantification.2014011073
Последний выпуск
Статьи, принятые к публикации
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models