Randomized model order reduction
Author:
Funder
U.S. Department of Energy
U.S. Air Force
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
http://link.springer.com/article/10.1007/s10444-018-09655-9/fulltext.html
Reference32 articles.
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2. Barrault, M., Maday, Y., Nguyen, N.C., Patera, A.T.: An empirical interpolation method: application to efficient reduced-basis discretization of partial differential equations Comptes Rendus Mathematique, 339, pp. 667–672 (2004)
3. Benner, P., Gugercin, S., Willcox, K.: A survey of Projection-Based model reduction methods for parametric dynamical systems. SIAM Rev. 57, 483–531 (2015)
4. Brunton, S.L., Proctor, J.L., Kutz, J.N.: Compressive sampling and dynamic mode decomposition. J. Comp. Dyn. 2, 165–191 (2015)
5. Chatarantabut, S., Sorensen, D.: Nonlinear model reduction via discrete empirical interpolation. SIAM J. Sci. Comput. 32, 2737–2764 (2010)
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