Zobrazeno 1 - 10
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pro vyhledávání: '"Bollhöfer, Matthias"'
This contribution combines a low-rank matrix approximation through Singular Value Decomposition (SVD) with second-order Krylov subspace-based Model Order Reduction (MOR), in order to efficiently propagate input uncertainties through a given vibroacou
Externí odkaz:
http://arxiv.org/abs/2408.08402
Predictive modeling involving simulation and sensor data at the same time, is a growing challenge in computational science. Even with large-scale finite element models, a mismatch to the sensor data often remains, which can be attributed to different
Externí odkaz:
http://arxiv.org/abs/2407.04438
Many application problems that lead to solving linear systems make use of preconditioned Krylov subspace solvers to compute their solution. Among the most popular preconditioning approaches are incomplete factorization methods either as single-level
Externí odkaz:
http://arxiv.org/abs/1908.10169
In this chapter we will give an insight into modern sparse elimination methods. These are driven by a preprocessing phase based on combinatorial algorithms which improve diagonal dominance, reduce fill-in, and improve concurrency to allow for paralle
Externí odkaz:
http://arxiv.org/abs/1907.05309
Akademický článek
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Akademický článek
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Publikováno v:
SIAM J. Sci. Comp. 28, 963-983 (2006)
We propose efficient preconditioning algorithms for an eigenvalue problem arising in quantum physics, namely the computation of a few interior eigenvalues and their associated eigenvectors for the largest sparse real and symmetric indefinite matrices
Externí odkaz:
http://arxiv.org/abs/math/0508111
Autor:
Aliaga, José I., Badia, Rosa M., Barreda, Maria, Bollhöfer, Matthias, Dufrechou, Ernesto, Ezzatti, Pablo, Quintana-Ortí, Enrique S.
Publikováno v:
In Parallel Computing May 2016 54:97-107
Publikováno v:
In Computers and Mathematics with Applications June 2014 67(11):2055-2070
Publikováno v:
Solid Earth, Vol 11, Pp 2031-2045 (2020)
Solid Earth, 11 (6)
Solid Earth, 11 (6)
The need to solve large saddle point systems within computational Earth sciences is ubiquitous. Physical processes giving rise to these systems include porous flow (the Darcy equations), poroelasticity, elastostatics, and highly viscous flows (the St