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 4, 2014 Выпуск 4
DOI: 10.1615/Int.J.UncertaintyQuantification.v4.i4
AN ALGORITHM FOR FAST CALCULATION OF FLOW ENSEMBLES
pp. 273-301
DOI: 10.1615/Int.J.UncertaintyQuantification.2014007691
SPARSE MULTIRESOLUTION REGRESSION FOR UNCERTAINTY PROPAGATION
pp. 303-331
DOI: 10.1615/Int.J.UncertaintyQuantification.2014010147
TRUNCATED HIERARCHICAL PRECONDITIONING FOR THE STOCHASTIC GALERKIN FEM
pp. 333-348
DOI: 10.1615/Int.J.UncertaintyQuantification.2014007353
OPTIMIZATION-BASED SAMPLING IN ENSEMBLE KALMAN FILTERING
pp. 349-364
DOI: 10.1615/Int.J.UncertaintyQuantification.2014007658
Последний выпуск
MODEL ERROR ESTIMATION USING PEARSON SYSTEM WITH APPLICATION TO NONLINEAR WAVES IN COMPRESSIBLE FLOWS
DECISION THEORETIC BOOTSTRAPPING
UNCERTAINTY QUANTIFICATION AND GLOBAL SENSITIVITY ANALYSIS OF SEISMIC FRAGILITY CURVES USING KRIGING
STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS
Статьи, принятые к публикации
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
SENSITIVITY ANALYSES OF A MULTI-PHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS
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