JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices

Published: 15 December 2007| Version 1 | DOI: 10.17632/dc7p5gjmjf.1


Abstract A new software code for computing selected eigenvalues and associated eigenvectors of a real symmetric matrix is described. The eigenvalues are either the smallest or those closest to some specified target, which may be in the interior of the spectrum. The underlying algorithm combines the Jacobi–Davidson method with efficient multilevel incomplete LU (ILU) preconditioning. Key features are modest memory requirements and robust convergence to accurate solutions. Parameters needed for incomplete ... Title of program: JADAMILU Catalogue Id: ADZT_v1_0 Nature of Problem Any physical problem requiring the computation of a few eigenvalues of a symmetric matrix. Versions of this program held in the CPC repository in Mendeley Data ADZT_v1_0; JADAMILU; 10.1016/j.cpc.2007.08.004 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)



Computational Physics, Computational Method