Enhanced alternating energy minimization methods for stochastic galerkin matrix equations
Author:
Funder
U.S. Department of Energy
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10543-021-00903-x.pdf
Reference49 articles.
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2. Ballani, J., Grasedyck, L.: A projection method to solve linear systems in tensor format. Numer. Linear Algebra Appl. 20(1), 27–43 (2013)
3. Benner, P., Breiten, T.: Low rank methods for a class of generalized Lyapunov equations and related issues. Numerische Mathematik 124(3), 441–470 (2013)
4. Corveleyn, S., Rosseel, E., Vandewalle, S.: Iterative solvers for a spectral Galerkin approach to elliptic partial differential equations with fuzzy coefficients. SIAM J. Sci. Comput. 35(5), S420–S444 (2013)
5. Dolgov, S.V., Savostyanov, D.V.: Alternating minimal energy methods for linear systems in higher dimensions. SIAM J. Sci. Comput. 36(5), A2248–A2271 (2014)
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