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Jun 10, 2022 · This novel approach leads to increased freedom to carry out the action of the operation inexactly, which provides performance improvement over ...
Abstract. We are interested in obtaining solutions to parameterized linear systems of the form \(A(\mu ) x(\mu ) = b\) for many values of the parameter ...
This setting arises in the study of partial differential equations with uncertainty, where the values. \mu are taken from some probability distribution; see ...
Apr 5, 2024 · We are interested in obtaining solutions to parameterized linear systems of the form A(mu)x(mu) = b for many values of the parameter mu. Here A( ...
Apr 23, 2024 · In this way, the basis vectors are computed recursively at each iteration of the algorithm. This choice of method is different from those in ...
... parameterized linear systems}, author = {Siobh\'{a}n Correnty and Melina A ... {Preconditioned Infinite GMRES for Parameterized Linear Systems}, author ...
This novel approach leads to increased freedom to carry out the action of the operation inexactly, which provides performance improvement over the method ...
Feb 8, 2021 · We consider linear parameter-dependent systems A(\mu) x(\mu) = b for many different \mu, where A is large and sparse, and depends nonlinearly on ...
Missing: Preconditioned | Show results with:Preconditioned
Jan 1, 2022 · Infinite GMRES for Parameterized Linear Systems ... Preconditioning Sparse Nonsymmetric Linear Systems with the Sherman--Morrison Formula.
Dec 7, 2023 · Abstract. We consider the problem of approximating the solution to A(µ)x(µ) = b for many different values of the parameter µ.