When observed data are used to infer on parameters that are not directly observable, usually an inverse problem needs to be solved. Characteristic for inverse problems is their ill-posedness, which in practice means that small errors in data may propagate to huge inconsistencies in the solution if the problem is not properly regularized or augme...
Creator:
Somersalo, Erkki (Case Western Reserve University)
Created:
2017-09-06
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.