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Title:

Data-Driven Solver and Preconditioner Selection for Sparse Linear Matrices

Document type:
Konferenzbeitrag
Contribution type:
Vortrag / Präsentation
Author(s):
Hayden Liu Weng
Abstract:
Solving large, sparse linear systems is at the core of diverse computational domains, where the efficient solution of such systems can heavily impact the total execution time of computations. While applying a preconditioner to an iterative solver has become standard, making optimal or sometimes even numerically stable choices can be quite challenging, mainly because the best combination depends strongly on the specific problem. We discuss how to predict effective preconditioner and iterative sol...     »
Book / Congress title:
International Conference On Preconditioning Techniques For Scientific and Industrial Applications
Date of congress:
June 10 - 12, 2024
Year:
2024
Quarter:
2. Quartal
Year / month:
2024-06
Month:
Jun
Reviewed:
nein
Language:
en
WWW:
https://www.math.emory.edu/~yxi26/Precond24/
Notes:
TYPE OF CONTRIBUTION: contributed
TUM Institution:
School of Computation, Information and Technology
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