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Том 9, 2019 / Выпуск 1

DOI: 10.1615/Int.J.UncertaintyQuantification.v9.i1

Table of Contents:

PROPAGATION OF MODELING UNCERTAINTY IN STOCHASTIC HEAT-TRANSFER SIMULATION USING A CHAIN OF DETERMINISTIC MODELS Deepak Paudel, Simo Hostikka

Deepak Paudel
Department of Civil Engineering, Aalto University, Espoo, Finland

Simo Hostikka
Department of Civil Engineering, Aalto University, Espoo, 01250, Finland

1-14 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2018027275

ENSEMBLE KALMAN FILTERS FOR RELIABILITY ESTIMATION IN PERFUSION INFERENCE Peter Zaspel

Peter Zaspel
Department of Computer Science & Electrical Engineering, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany

15-32 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2018024865

ASSESSING THE PERFORMANCE OF LEJA AND CLENSHAW-CURTIS COLLOCATION FOR COMPUTATIONAL ELECTROMAGNETICS WITH RANDOM INPUT DATA Dimitrios Loukrezis, Ulrich Römer, Herbert De Gersem

Dimitrios Loukrezis
Institute for Accelerator Science and Electromagnetic Fields, Technische Universität Darmstadt, Darmstadt, Germany; Centre for Computational Engineering, Technische Universität Darmstadt, Darmstadt, Germany

Ulrich Römer
Institut für Dynamik und Schwingungen, Technische Universität Braunschweig, Schleinitzstraße 20, 38106 Braunschweig, Germany

Herbert De Gersem
Institute for Accelerator Science and Electromagnetic Fields (TEMF), Technische Universität Darmstadt, Schlossgartenstraße 8, 64289 Darmstadt, Germany; Centre for Computational Engineering, Technische Universität Darmstadt, Dolivostraße 15, 64293 Darmstadt, Germany

33-57 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2018025234

MODEL STRUCTURAL INFERENCE USING LOCAL DYNAMIC OPERATORS Anthony M. DeGennaro, Nathan M. Urban, Balasubramanya T. Nadiga, Terry Haut

Anthony M. DeGennaro
Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, 11973

Nathan M. Urban
Computer, Computational, and Statistical Sciences, Los Alamos National Laboratory, Los Alamos, NM, 87544

Balasubramanya T. Nadiga
Computer, Computational, and Statistical Sciences, Los Alamos National Laboratory, Los Alamos, NM, 87544

Terry Haut
Computational Physics Group, Lawrence Livermore Laboratory, Livermore, CA, 94550

59-83 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2019025828

STOCHASTIC MODELING OF MAGNETIC HYSTERETIC PROPERTIES BY USING MULTIVARIATE RANDOM FIELDS Radoslav Jankoski, Ulrich Römer, Sebastian Schöps

Radoslav Jankoski
Graduate School for Computational Engineering, Technische Universität Darmstadt, Dolivostraße 15, 64293 Darmstadt, Germany

Ulrich Römer
Institut für Dynamik und Schwingungen, Technische Universität Braunschweig, Schleinitzstraße 20, 38106 Braunschweig, Germany

Sebastian Schöps
Institut für Teilchenbeschleunigung und Elektromagnetische Felder (TEMF), Technische Universität Darmstadt, Schlossgartenstr. 8, 64289 Darmstadt, Germany; Centre for Computational Engineering, Technische Universität Darmstadt, Dolivostr. 15, 64293 Darmstadt, Germany

85-102 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2019025638

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