Current Year

Volume 16, 2026 / Issue 3

DOI: 10.1615/Int.J.UncertaintyQuantification.v16.i3

Table of Contents:

AN ADAPTIVE MULTIPLE RESPONSE GAUSSIAN PROCESS FOR RELIABILITY ANALYSIS OF MULTI-OUTPUT SYSTEMS Haowen Zhu, Ruihao Chen, Shiyu Bi, Hanyan Huang

Haowen Zhu
School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China

Ruihao Chen
China Academy of Launch Vehicle Technology, Beijing, China

Shiyu Bi
School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China

Hanyan Huang
School of Systems Science and Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, 510006, China

1-25 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2026060683

ITERATIVE DATA-CONSISTENT INVERSION WITH MULTIPLE PUSH-FORWARD CONSTRAINTS Tianyi Jiang, Troy Butler, Timothy Wildey, Tim Kutta, Haonan Wang

Tianyi Jiang
Department of Statistics, Colorado State University, Fort Collins, Colorado 80523, USA

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
Department of Mathematics, Aarhus University, Denmark

Haonan Wang
Department of Statistics, Colorado State University, Fort Collins, Colorado 80523, USA

27-60 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2026063053

A NEW PROBABILISTIC ADJOINT OPERATOR (PRADO) METHOD FOR SCALAR OBSERVABLES: APPLICATION TO STOCHASTIC ELECTROMAGNETIC INTERACTIONS Ousmane O. Sy, A. M. Islam, M. C. van Beurden, K. M. Crow, S. Woods, D. Duque Guerra

Ousmane O. Sy
NASA Jet Propulsion LAboratory

A. M. Islam
Columbia University in the City of New York, New York, USA

M. C. van Beurden
Eindhoven University of Technology, The Netherlands

K. M. Crow
Washington University in Saint Louis, St. Louis, Missouri, USA

S. Woods
National Center for Atmospheric Research, USA

D. Duque Guerra
Dassault Systèmes, Germany

61-90 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2026060421

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