Structured low-rank approximation (SLRA) is a mathematical framework that seeks to approximate a given data matrix by another matrix of lower rank while preserving intrinsic structural properties.
SIAM Journal on Numerical Analysis, Vol. 36, No. 4 (May - Jun., 1999), pp. 1022-1029 (8 pages) An algorithm for the calculation of the maximum modulus of a complex polynomial on the unit disc is ...
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