An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science-Reference-Cited by-同舟云学术

An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science

Published:2018 Issue: Volume: Page:52-62
ISSN:0302-9743
Container-title:Integration of Constraint Programming, Artificial Intelligence, and Operations Research
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Author:

Bai Junwen,Ament Sebastian,Perez Guillaume,Gregoire John,Gomes Carla

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-93031-2_4

Reference21 articles.

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3. Suram, S.K., Newhouse, P.F., Zhou, L., Van Campen, D.G., Mehta, A., Gregoire, J.M.: High throughput light absorber discovery, part 2: establishing structure-band gap energy relationships. ACS Comb. Sci. 18(11), 682–688 (2016)

4. Vavasis, S.A.: On the complexity of nonnegative matrix factorization. SIAM J. Optim. 20(3), 1364–1377 (2009)

5. Lecture Notes in Computer Science;R LeBras,2011

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