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Nonlinearly Structured Low-Rank Approximation
2014Polynomially structured low-rank approximation problems occur in algebraic curve fitting, e.g., conic section fitting, subspace clustering (generalized principal component analysis), and nonlinear and parameter-varying system identification.
Markovsky, Ivan, Usevich, Konstantin
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2019
This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented.
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This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented.
openaire +1 more source