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.

The Chinese remainder theorem of number theory describes conditions under which a number may be recaptured by the knowledge of the residues which it gives rise to when divided by certain moduli. Thus ...