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 3, 2013 Numéro 2
DOI: 10.1615/Int.J.UncertaintyQuantification.v3.i2
PREFACE
WORKING WITH UNCERTAINTY WORKSHOP: REPRESENTATION, QUANTIFICATION, PROPAGATION, VISUALIZATION, AND COMMUNICATION OF UNCERTAINTY, PROVIDENCE, RHODE ISLAND, OCTOBER 2011
WORKING WITH UNCERTAINTY WORKSHOP: REPRESENTATION, QUANTIFICATION, PROPAGATION, VISUALIZATION, AND COMMUNICATION OF UNCERTAINTY, PROVIDENCE, RHODE ISLAND, OCTOBER 2011
pp. vii-viii
DOI: 10.1615/Int.J.UncertaintyQuantification.v3.i2.10
APPROXIMATE LEVEL-CROSSING PROBABILITIES FOR INTERACTIVE VISUALIZATION OF UNCERTAIN ISOCONTOURS
pp. 101-117
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003958
ADAPTIVE SAMPLING WITH TOPOLOGICAL SCORES
pp. 119-141
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003955
VISUALIZING UNCERTAINTY IN PREDICTED HURRICANE TRACKS
pp. 143-156
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003966
UNCERTAINTY CLASSIFICATION AND VISUALIZATION OF MOLECULAR INTERFACES
pp. 157-169
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003950
CORRELATION VISUALIZATION FOR STRUCTURAL UNCERTAINTY ANALYSIS
pp. 171-186
DOI: 10.1615/Int.J.UncertaintyQuantification.2012003934
Dernier numéro
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
Prochains articles
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