From low-rank retractions to dynamical low-rank approximation and back

In algorithms for solving optimization problems constrained to a smooth manifold, retractions are a well-established tool to ensure that the iterates stay on the manifold. More recently, it has been demonstrated that retractions are a useful concept for other computational tasks on manifold as well,...

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Bibliographic Details
Published inBIT Vol. 64; no. 3; p. 25
Main Authors Séguin, Axel, Ceruti, Gianluca, Kressner, Daniel
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.09.2024
Springer Nature B.V
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