International Journal for Uncertainty Quantification
Publicado 6 números por año
ISSN Imprimir: 2152-5080
ISSN En Línea: 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
Volumen 4, 2014 Edición 6
DOI: 10.1615/Int.J.UncertaintyQuantification.v4.i6
ANALYSIS OF VARIANCE-BASED MIXED MULTISCALE FINITE ELEMENT METHOD AND APPLICATIONS IN STOCHASTIC TWO-PHASE FLOWS
pp. 455-477
DOI: 10.1615/Int.J.UncertaintyQuantification.2014006135
GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN
pp. 479-510
DOI: 10.1615/Int.J.UncertaintyQuantification.2014006730
INHERENT AND EPISTEMIC UNCERTAINTY ANALYSIS FOR COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF SYNTHETIC JET ACTUATORS
pp. 511-533
DOI: 10.1615/Int.J.UncertaintyQuantification.2014010659
EFFECTIVE SAMPLING SCHEMES FOR BEHAVIOR DISCRIMINATION IN NONLINEAR SYSTEMS
pp. 535-554
DOI: 10.1615/Int.J.UncertaintyQuantification.2014010728
Último edicion
Próximos Artículos
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