A Riemannian perspective on matrix recovery and constrained optimization

<p>Nonlinear matrix recovery is an emerging paradigm in which specific classes of high-rank matrices can be recovered from an underdetermined linear system of measurements. In particular, we consider matrices whose columns, seen as data points, belong to an algebraic variety, namely, a set def...

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Bibliografiske detaljer
Hovedforfatter: Goyens, F
Andre forfattere: Cartis, C
Format: Thesis
Sprog:English
Udgivet: 2021
Fag:

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