Survey paper: Structured low-rank approximation and its applications
Automatica (Journal of IFAC)
Preconditioned conjugate gradient methods for the solution of indefinite least squares problems
Calcolo: a quarterly on numerical analysis and theory of computation
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We develop an algorithm for the solution of indefinite least-squares problems. Such problems arise in robust estimation, filtering, and control, and numerically stable solutions have been lacking. The algorithm developed herein involves the QR factorization of the coefficient matrix and is provably numerically stable.