Treffer: Displacement Structure: Theory and Applications: Displacement structure: Theory and applications
0036-1445
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This is a survey of describing how two strands of work from matrix and function theory have come together in interesting ways in some work on fast computational algorithms for matrices with so-called displacement structure. First, the paper reviews some earlier results on matrices with displacement structure and highlights connection with the classical algorithm of Schur and with inverse scattering problems. Then it introduces several generalizations of the notion of displacement structure and some important examples. A hierarchy of generalized Schur algorithms is derived and exhibited in several different forms. Connections with lossless systems, embedding relations, and transmission zeros are highlighted and shown to be relevant to the solution of interpolation problems. Generalized Schur algorithms are then studied in the presence of state-space structure, with immediate applications to problems in state-space estimation and adaptive filtering. Finally, it concludes with a brief account of extensions of the notion of displacement structure to time-variant matrices and with even briefer remarks on other results, applications, and some open problems.