One of the most challenging and important applications of computational models of physical systems is to make predictions when no observations of the quantities being predicted are available. This is the usual situation when model results are to be used to support decisions (e.g. design or operations decisions) where predictions are needed preci...
Creator:
Moser, Robert D. (The University of Texas at Austin)
Created:
2015-06-24
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Computational models of complex physical systems are fraught withuncertainties. These include uncertainties in initial or boundaryconditions, uncertainties in model parameters and/or the experimentaldata used to calibrate them and uncertainties arising fromimperfections in the models used in the simulations. Mathematicalmodels of these uncertain...
Creator:
Moser, Robert D. (The University of Texas at Austin)
Created:
2010-10-20
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.