Ali H. Sayed
This paper formulates and solves a robust criterion for least-squares designs in the presence of uncertain data. Compared with earlier studies, the proposed criterion incorporates simultaneously both regularization and weighting and applies to a large clas ...
Society for Industrial and Applied Mathematics2002