Архив

Том 5, 2015 / Выпуск 5

DOI: 10.1615/Int.J.UncertaintyQuantification.v5.i5

Table of Contents:

HIGH DIMENSIONAL SENSITIVITY ANALYSIS USING SURROGATE MODELING AND HIGH DIMENSIONAL MODEL REPRESENTATION Martin Kubicek, Edmondo Minisci, Marco Cisternino

Martin Kubicek
University of Strathclyde, James Weir Building 75 Montrose Street Glasgow, G1IXJ, Scotland, United Kingdom

Edmondo Minisci
University of Strathclyde, James Weir Building 75 Montrose Street Glasgow, G1IXJ, Scotland, United Kingdom

Marco Cisternino
OPTIMAD Engineering s.r.l, Via Giacinto Collegno 18, 10143 Torino, Italy

393-414 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2015012033

A POSTERIORI ERROR ESTIMATION FOR A CUT CELL FINITE VOLUME METHOD WITH UNCERTAIN INTERFACE LOCATION J. B. Collins, Donald Estep, Simon Tavener

J. B. Collins
Department of Mathematics, Chemistry, and Physics, West Texas A&M University, Canyon, Texas 79016, USA

Donald Estep
Department of Statistics, Colorado State University, Fort Collins, Colorado 80523-1877, USA

Simon Tavener
Department of Mathematics, Colorado State University, Fort Collins, Colorado 80523, USA

415-432 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2015012533

AN UNCERTAINTY VISUALIZATION TECHNIQUE USING POSSIBILITY THEORY: POSSIBILISTIC MARCHING CUBES Yanyan He, Mahsa Mirzargar, Sophia Hudson, Robert M. Kirby, Ross T. Whitaker

Yanyan He
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UTAH 84112, USA

Mahsa Mirzargar
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UTAH 84112, USA

Sophia Hudson
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UTAH 84112, USA

Robert M. Kirby
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UTAH 84112, USA; School of Computing, University of Utah, Salt Lake City, UTAH 84112, USA

Ross T. Whitaker
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UTAH 84112, USA; School of Computing, University of Utah, Salt Lake City, UTAH 84112, USA

433-451 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2015013730

A GRADIENT-ENHANCED SPARSE GRID ALGORITHM FOR UNCERTAINTY QUANTIFICATION Jouke H. S. de Baar, Brendan Harding

Jouke H. S. de Baar
Mathematical Sciences Institute, Australian National University, John Dedman Building 27, Union Lane, Canberra, ACT, 2601, Australia

Brendan Harding
Mathematical Sciences Institute, Australian National University, John Dedman Building 27, Union Lane, Canberra, ACT, 2601, Australia

453-468 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2015014394

RANDOM PREDICTOR MODELS FOR RIGOROUS UNCERTAINTY QUANTIFICATION Luis G. Crespo, Sean P. Kenny, Daniel P. Giesy

Luis G. Crespo
NASA Langley Research Center, MS 308, Hampton, Virginia 23681, USA

Sean P. Kenny
NASA Langley Research Center, MS 308, Hampton, Virginia 23681, USA

Daniel P. Giesy
NASA Langley Research Center, MS 308, Hampton, Virginia 23681, USA

469-489 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2015013799

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