Archive Files

Volume 4, 2014 / Edição 3

DOI: 10.1615/Int.J.UncertaintyQuantification.v4.i3

Table of Contents:

UNCERTAINTY QUANTIFICATION IN DYNAMIC SIMULATIONS OF LARGE-SCALE POWER SYSTEM MODELS USING THE HIGH-ORDER PROBABILISTIC COLLOCATION METHOD ON SPARSE GRIDS Guang Lin, Marcelo Elizondo, Shuai Lu, Xiaoliang Wan

Guang Lin
Computational Science & Mathematics Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Department of Mathematics, School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA

Marcelo Elizondo
Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, Washington 99352, USA

Shuai Lu
Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, Washington 99352, USA

Xiaoliang Wan
Department of Mathematics and Center of Computation and Technology, Louisiana State University, Baton Rouge, LA, 70803

185-204 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2013003479

IMPROVEMENTS TO GRADIENT-ENHANCED KRIGING USING A BAYESIAN INTERPRETATION Jouke H.S. de Baar, Richard P. Dwight, Hester Bijl

Jouke H.S. de Baar
TU Delft, Kluyverweg 1 (10.18), 2629 HS Delft, The Netherlands

Richard P. Dwight
Aerodynamics Group, Faculty of Aerospace, TU Delft, P.O. Box 5058, 2600GB Delft, The Netherlands

Hester Bijl
TU Delft, Kluyverweg 1 (10.18), 2629 HS Delft, The Netherlands; University of Twente, Drienerlolaan 5, Enschede, 7522NB, Netherlands

205-223 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2013006809

A MULTI-FIDELITY STOCHASTIC COLLOCATION METHOD FOR PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS WITH RANDOM INPUT DATA Maziar Raissi, Padmanabhan Seshaiyer

Maziar Raissi
Department of Mathematical Sciences, George Mason University, 4400 University Drive, MS: 3F2, Planetary Hall, Fairfax, Virginia 22030, USA

Padmanabhan Seshaiyer
Department of Mathematical Sciences, George Mason University, 4400 University Drive, MS: 3F2, Planetary Hall, Fairfax, Virginia 22030, USA

225-242 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2014007778

QUANTIFICATION OF UNCERTAINTY FROM HIGH-DIMENSIONAL SCATTERED DATA VIA POLYNOMIAL APPROXIMATION Lionel Mathelin

Lionel Mathelin
LIMSI-CNRS, BP 133, 91403 Orsay, France; Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA

243-271 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2014008084

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