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International Journal for Uncertainty Quantification
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ISSN Print: 2152-5080
ISSN Online: 2152-5099

Статьи, принятые к публикации

EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
DOI: 10.1615/Int.J.UncertaintyQuantification.2024049519
Application of global sensitivity analysis for identification of probabilistic design spaces
DOI: 10.1615/Int.J.UncertaintyQuantification.2024051384
SENSITIVITY ANALYSES OF A MULTI-PHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS
DOI: 10.1615/Int.J.UncertaintyQuantification.2024051489
Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
DOI: 10.1615/Int.J.UncertaintyQuantification.2024050099
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models
DOI: 10.1615/Int.J.UncertaintyQuantification.2024050125
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