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 9, 2019 Numéro 2
SPECIAL ISSUE: CELEBRATING THE ESTABLISHMENT OF A NEW UQ SOCIETY IN CHINA PART 1
GUEST EDITOR: TAO ZHOU
DOI: 10.1615/Int.J.UncertaintyQuantification.v9.i2
PREFACE: A SPECIAL ISSUE CELEBRATING A NEW UQ ACTIVITY GROUP IN CHINA
v pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2019030761
HESSIAN-BASED SAMPLING FOR HIGH-DIMENSIONAL MODEL REDUCTION
pp. 103-121
DOI: 10.1615/Int.J.UncertaintyQuantification.2019028753
RANDOM REGULARITY OF A NONLINEAR LANDAU DAMPING SOLUTION FOR THE VLASOV-POISSON EQUATIONS WITH RANDOM INPUTS
pp. 123-142
DOI: 10.1615/Int.J.UncertaintyQuantification.2019026936
ADJOINT FORWARD BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN BY JUMP DIFFUSION PROCESSES AND ITS APPLICATION TO NONLINEAR FILTERING PROBLEMS
pp. 143-159
DOI: 10.1615/Int.J.UncertaintyQuantification.2019028300
NUMERICAL APPROXIMATION OF ELLIPTIC PROBLEMS WITH LOG-NORMAL RANDOM COEFFICIENTS
pp. 161-186
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029046
REDUCING FRACTURE PREDICTION UNCERTAINTY BASED ON TIME-LAPSE SEISMIC (4D) AND DETERMINISTIC INVERSION ALGORITHM
pp. 187-204
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027680
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