Estimation of radio interferometer beam shapes using Riemannian optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
http://link.springer.com/content/pdf/10.1007/s10686-012-9318-x.pdf
Reference16 articles.
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3. Fiori, S.: Riemannian gradient based learning on the complex matrix hyperspace. IEEE Trans. Neural Netw. 22(12), 2132–2138 (2011)
4. Gabay, D.: Minimizing a differentiable function over a differential manifold. J. Optim. Theory Appl. 37(2), 177–219 (1982)
5. Hamaker, J.P.: Understanding radio polarimetry IV: the full-coherency analogue of scalar selfcalibration. Astron. Astrophys. Supp. 143(3), 515–534 (2000)
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