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International Journal for Uncertainty Quantification

インパクトファクター: 3.259
5年インパクトファクター: 2.547

Free Online Access

ISSN 印刷: 2152-5080
ISSN オンライン: 2152-5099

Current Year

巻 9, 2019 / 発行 3

DOI: 10.1615/Int.J.UncertaintyQuantification.v9.i3

Table of Contents:

PREFACE: A SPECIAL ISSUE CELEBRATING A NEW UQ ACTIVITY GROUP IN CHINA
v ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.v9.i3.10
AN ADAPTIVE MULTIFIDELITY PC-BASED ENSEMBLE KALMAN INVERSION FOR INVERSE PROBLEMS
205-220 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029059
A GENERAL FRAMEWORK FOR ENHANCING SPARSITY OF GENERALIZED POLYNOMIAL CHAOS EXPANSIONS
221-243 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027864
VARIABLE-SEPARATION BASED ITERATIVE ENSEMBLE SMOOTHER FOR BAYESIAN INVERSE PROBLEMS IN ANOMALOUS DIFFUSION REACTION MODELS
245-273 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2019028759
AN EFFICIENT NUMERICAL METHOD FOR UNCERTAINTY QUANTIFICATION IN CARDIOLOGY MODELS
275-294 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027857
USING PARALLEL MARKOV CHAIN MONTE CARLO TO QUANTIFY UNCERTAINTIES IN GEOTHERMAL RESERVOIR CALIBRATION
295-310 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029282
A WEIGHT-BOUNDED IMPORTANCE SAMPLING METHOD FOR VARIANCE REDUCTION
311-319 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029511
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