UNCERTAINTY QUANTIFICATION FOR HYPERBOLIC CONSERVATION LAWS WITH FLUX COEFFICIENTS GIVEN BY SPATIOTEMPORAL RANDOM FIELDS. SIAM JOURNAL ON SCIENTIFIC COMPUTING, (38)4:A2209-A2231, SIAM PUBLICATIONS, 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, PA 19104-2688 USA, 2016. [PUMA: Carlo Gaussian Monte Ornstein-Uhlenbeck differential equation; field; field} finite flux function; hyperbolic method; partial process; quantification; random spatiotemporal uncertainty volume {stochastic]
Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach. COMPUTERS & CHEMICAL ENGINEERING, (89):11-26, PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, Juni 2016. [PUMA: Finite Galerkin Galerkin; Hybrid Polynomial Uncertainty chaos; method} model; projection; quantification; stochastic volume {Clarifier-thickener]