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International Journal for Uncertainty Quantification
インパクトファクター: 4.911 5年インパクトファクター: 3.179 SJR: 1.008 SNIP: 0.983 CiteScore™: 5.2

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

Open Access

International Journal for Uncertainty Quantification

発行物を購入する $224.00 巻 10, 2020 発行 4

DOI: 10.1615/Int.J.UncertaintyQuantification.v10.i4

目次:

SENSITIVITY INDICES FOR OUTPUT ON A RIEMANNIAN MANIFOLD
R. Fraiman, F. Gamboa, Leonardo Moreno
pages 297-314
DOI: 10.1615/Int.J.UncertaintyQuantification.2020029614
A MULTI-FIDELITY NEURAL NETWORK SURROGATE SAMPLING METHOD FOR UNCERTAINTY QUANTIFICATION
Mohammad Motamed
pages 315-332
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031957
INVERSE UNCERTAINTY QUANTIFICATION OF A CELL MODEL USING A GAUSSIAN PROCESS METAMODEL
Kevin de Vries, Anna Nikishova, Benjamin Czaja, Gábor Závodszky, Alfons G. Hoekstra
pages 333-349
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033186
YIELD OPTIMIZATION BASED ON ADAPTIVE NEWTON-MONTE CARLO AND POLYNOMIAL SURROGATES
Mona Fuhrländer, Niklas Georg, Ulrich Römer, Sebastian Schöps
pages 351-373
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033344
DATA-DRIVEN CALIBRATION OF P3D HYDRAULIC FRACTURING MODELS
Souleymane Zio , Fernando A. Rochinha
pages 375-398
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033602