Low-rank retractions: a survey and new results
Retractions are a prevalent tool in Riemannian optimization that provides a way to smoothly select a curve on a manifold with given initial position and velocity. We review and propose several retractions on the manifold M r of rank- r m × n matrices. With the exception of the exponential retraction...
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Published in | Computational optimization and applications Vol. 62; no. 1; pp. 5 - 29 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.09.2015
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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