International Journal for Uncertainty Quantification
Publication de 6 numéros par an
ISSN Imprimer: 2152-5080
ISSN En ligne: 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
Volume 5, 2015 Numéro 3
DOI: 10.1615/Int.J.UncertaintyQuantification.v5.i3
EDITORIAL PREFACE: NUMERICAL METHODS FOR UNCERTAINTY QUANTIFICATION
pp. vii-viii
DOI: 10.1615/Int.J.UncertaintyQuantification.2015014190
UNCERTAINTY QUANTIFICATION FOR MAXWELL'S EQUATIONS USING STOCHASTIC COLLOCATION AND MODEL ORDER REDUCTION
pp. 195-208
DOI: 10.1615/Int.J.UncertaintyQuantification.2015010170
SECOND-ORDER SENSITIVITY ANALYSIS OF PARAMETER ESTIMATION PROBLEMS
pp. 209-231
DOI: 10.1615/Int.J.UncertaintyQuantification.2015010312
A HERMITE SPECTRAL METHOD FOR A FOKKER-PLANCK OPTIMAL CONTROL PROBLEM IN AN UNBOUNDED DOMAIN
pp. 233-254
DOI: 10.1615/Int.J.UncertaintyQuantification.2015010310
STOCHASTIC GALERKIN METHODS AND MODEL ORDER REDUCTION FOR LINEAR DYNAMICAL SYSTEMS
pp. 255-273
DOI: 10.1615/Int.J.UncertaintyQuantification.2015010171
AN OPTIMAL SAMPLING RULE FOR NONINTRUSIVE POLYNOMIAL CHAOS EXPANSIONS OF EXPENSIVE MODELS
pp. 275-295
DOI: 10.1615/Int.J.UncertaintyQuantification.2015008446
Dernier numéro
Prochains articles
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