AbstractA minimization problem for a matrix-valued matrix function is considered. A duality theorem is proved. Some examples illustrate its applicability
The BLUE-problem is treated as a minimax problem. It is shown that BLUE's and the so called least favorable parameters are the constituents of saddle points of a Lagrangian functional