Low-rank retractions: a survey and new results
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Control and Optimization
Link
http://link.springer.com/content/pdf/10.1007/s10589-014-9714-4.pdf
Reference21 articles.
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2. Absil, P.-A., Baker, C.G., Gallivan, K.A.: Trust-region methods on Riemannian manifolds. Found. Comput. Math. 7(3), 303–330 (2007). doi: 10.1007/s10208-005-0179-9
3. Adler, R.L., Dedieu, J.-P., Margulies, J.Y., Martens, M., Shub, Mike: Newton’s method on Riemannian manifolds and a geometric model for the human spine. IMA J. Numer. Anal. 22(3), 359–390 (2002). doi: 10.1093/imanum/22.3.359
4. Absil, P.A., Malick, J.: Projection-like retractions on matrix manifolds. SIAM J. Optim. 22(1), 135–158 (2012). doi: 10.1137/100802529
5. Absil, P.-A., Mahony, R., Sepulchre. R.: Optimization Algorithms on Matrix Manifolds. Princeton University Press, Princeton, NJ (2008). http://press.princeton.edu/titles/8586.html
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