Próximos artigos

Quasi-Monte Carlo finite element approximation of the Navier--Stokes equations with initial data modeled by log-normal random fields Seungchan Ko, Guanglian Li, Yi Yu

Seungchan Ko
Inha University

Guanglian Li
The University of Hong Kong

Yi Yu
Guangxi University

DOI: 10.1615/Int.J.UncertaintyQuantification.2026058355

Iterative Data-Consistent Inversion with Multiple Push-forward Constraints Tianyi Jiang, Troy Butler, Timothy Wildey, Tim Kutta, Haonan Wang

Tianyi Jiang
Colorado State University

Troy Butler
University of Colorado Denver

Timothy Wildey
Optimization and Uncertainty Quantification Department, Center for Computing Research,Sandia National Laboratories, Albuquerque, NM 87185

Tim Kutta
Aarhus University

Haonan Wang
Colorado State University

DOI: 10.1615/Int.J.UncertaintyQuantification.2026063053

A NEW PROBABILISTIC ADJOINT OPERATOR (PRADO) METHOD FOR SCALAR OBSERVABLES: APPLICATION TO STOCHASTIC ELECTROMAGNETIC INTERACTIONS Ousmane Sy, Abdullah Islam, Martijn van Beurden, Kayleigh Crow, Sarah Woods, David Duque Guerra

Ousmane Sy
NASA Jet Propulsion LAboratory

Abdullah Islam
Columbia University in the City of New York

Martijn van Beurden
Eindhoven University of Technology

Kayleigh Crow
Washington University in Saint Louis

Sarah Woods
National Center for Atmospheric Research

David Duque Guerra
Dassault Systemes

DOI: 10.1615/Int.J.UncertaintyQuantification.2026060421

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