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International Journal for Uncertainty Quantification

Импакт фактор: 1.000

ISSN Печать: 2152-5080
ISSN Онлайн: 2152-5099

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International Journal for Uncertainty Quantification

Купить выпуск $170.00 Том 6, 2016 Выпуск 6

DOI: 10.1615/Int.J.UncertaintyQuantification.v6.i6

Содержание:

EMPIRICAL EVALUATION OF BAYESIAN OPTIMIZATION IN PARAMETRIC TUNING OF CHAOTIC SYSTEMS
Mudassar Abbas, Alexander Ilin, Antti Solonen, Janne Hakkarainen, Erkki Oja, Heikki Jarvinen
pages 467-485
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016645
A CROSS-ENTROPY METHOD ACCELERATED DERIVATIVE-FREE RBDO ALGORITHM
Tian Gao , Jinglai Li
pages 487-500
DOI: 10.1615/Int.J.UncertaintyQuantification.2016017305
FORWARD AND INVERSE UNCERTAINTY QUANTIFICATION USING MULTILEVEL MONTE CARLO ALGORITHMS FOR AN ELLIPTIC NONLOCAL EQUATION
Ajay Jasra, Kody J. H. Law, Yan Zhou
pages 501-514
DOI: 10.1615/Int.J.UncertaintyQuantification.2016018661
A NEW INVERSE METHOD FOR THE UNCERTAINTY QUANTIFICATION OF SPATIALLY VARYING RANDOM MATERIAL PROPERTIES
Gun Jin Yun, Shen Shang
pages 515-531
DOI: 10.1615/Int.J.UncertaintyQuantification.2016018673
SCENARIO DISCOVERY WORKFLOW FOR ROBUST PETROLEUM RESERVOIR DEVELOPMENT UNDER UNCERTAINTY
Rui Jiang, Dave Stern, Thomas C. Halsey, Tom Manzocchi
pages 533-559
DOI: 10.1615/Int.J.UncertaintyQuantification.2016018932
INDEX VOLUME 6, 2016
pages 561-565
DOI: 10.1615/Int.J.UncertaintyQuantification.v6.i6.60