Archive Files

Volume 12, 2022 / Edição 2

DOI: 10.1615/Int.J.UncertaintyQuantification.v12.i2

Table of Contents:

A COMPREHENSIVE COMPARISON OF TOTAL-ORDER ESTIMATORS FOR GLOBAL SENSITIVITY ANALYSIS Arnald Puy, William Becker, Samuele Lo Piano, Andrea Saltelli

Arnald Puy
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey; Centre for the Study of the Sciences and the Humanities (SVT), University of Bergen, Bergen, Norway

William Becker
European Commission, Joint Research Centre, Ispra VA, Italy

Samuele Lo Piano
School of the Built Environment, University of Reading, Reading, UK

Andrea Saltelli
Barcelona School of Management, Pompeu Fabra University, Barcelona, Spain

1-18 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2021038133

A FULLY BAYESIAN GRADIENT-FREE SUPERVISED DIMENSION REDUCTION METHOD USING GAUSSIAN PROCESSES Raphaël Gautier, Piyush Pandita, Sayan Ghosh, Dimitri Mavris

Raphaël Gautier
Aerospace Systems Design Laboratory, Georgia Institute of Technology, Atlanta, Georgia, 30308, USA

Piyush Pandita
Probabilistic Design, GE Research, Niskayuna, New York, 12309, USA

Sayan Ghosh
Probabilistic Design, GE Research, Niskayuna, New York, 12309, USA

Dimitri Mavris
Aerospace Systems Design Laboratory, Georgia Institute of Technology, Atlanta, Georgia, 30308, USA

19-51 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2021035621

SPARSE TENSOR PRODUCT APPROXIMATION FOR A CLASS OF GENERALIZED METHOD OF MOMENTS ESTIMATORS Alexandros Gilch, Michael Griebel, Jens Oettershagen

Alexandros Gilch
Institute for Numerical Simulation, Bonn, Germany

Michael Griebel
Institute for Numerical Simulation, University of Bonn, Bonn, Germany; Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany

Jens Oettershagen
Institute for Numerical Simulation, Bonn, Germany

53-79 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2021037549

FEEDBACK CONTROL FOR RANDOM, LINEAR HYPERBOLIC BALANCE LAWS Markus Bambach, Stephan Gerster, Michael Herty, Muhammad Imran

Markus Bambach
Institut für virtuelle Produktion, Zürich, Switzerland

Stephan Gerster
Institut für Geometrie und Praktische Mathematik, RWTH Aachen University, Aachen, Germany

Michael Herty
Institut für Geometrie und Praktische Mathematik, RWTH Aachen University, Aachen, Germany

Muhammad Imran
Lehrstuhl Konstruktion und Fertigung, BTU Cottbus-Senftenberg, Cottbus, Germany

81-104 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2021037183

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