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 3, 2013 Выпуск 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
Последний выпуск
Статьи, принятые к публикации
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