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An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods

2012 IEEE 6th International Symposium on Embedded Multicore SoCs, 2012
The Jacobi iteration is often used for preconditioners with high parallel efficiency of Krylov subspace methods to solve very large linear systems. However, these preconditioners do not always show great improvement of the convergence rate, because of the strict convergence condition and the poor convergence property of the Jacobi iteration.
Akira Imakura   +3 more
openaire   +1 more source

A splitting preconditioner for the iterative solution of implicit Runge-Kutta and boundary value methods

BIT Numerical Mathematics, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Molecular imaging in oncology: Current impact and future directions

Ca-A Cancer Journal for Clinicians, 2022
Steven P Rowe, Martin G Pomper
exaly  

Preconditioners for Sparse Iterative Methods

2011
Bruce Leasure   +54 more
openaire   +1 more source

AmgX: A Library for GPU Accelerated Algebraic Multigrid and Preconditioned Iterative Methods

SIAM Journal on Scientific Computing, 2015
M. Naumov   +11 more
semanticscholar   +1 more source

Radiotheranostics in oncology: Making precision medicine possible

Ca-A Cancer Journal for Clinicians, 2023
Eric Aboagye
exaly  

Sparse Iterative Methods, Preconditioners for

2011
Jack Dongarra   +58 more
openaire   +1 more source

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