Доступ предоставлен для: Guest
Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal for Uncertainty Quantification
Импакт фактор: 4.911 5-летний Импакт фактор: 3.179 SJR: 1.008 SNIP: 0.983 CiteScore™: 5.2

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

Свободный доступ

International Journal for Uncertainty Quantification

Статьи, принятые к публикации:

A multi-fidelity neural network surrogate sampling method for uncertainty quantification
Mohammad Motamed
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031957
Sensitivity indices for output on a Riemannian manifold
Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno
DOI: 10.1615/Int.J.UncertaintyQuantification.2020029614
Model Calibration for Detonation Products: A Physics-informed, Time-dependent Surrogate Method based on Machine Learning
Juan Zhang, Junping Yin, Ruili Wang, Jiangtao Chen
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032977
Solving Stochastic Inverse Problems using Approximate Push-forward Densities based on a Multi-fidelity Monte Carlo Method
Lukas Bruder, Michael Gee, Timothy Wildey
DOI: 10.1615/Int.J.UncertaintyQuantification.2020030092