Abstract
This paper gives a brief overview of some of the recent Krylov subspace techniques for large-scale matrix computations and their applications to the solutions of large-scale control problems. The research in this area is still in its infancy, but is quite active. For a comprehensive account of results in this area, see Datta (1999).
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