A Jacobi--Davidson Iteration Method for Linear EigenvalueProblems
SIAM Journal on Matrix Analysis and Applications
A comparative study on methods for convergence acceleration of iterative vector sequences
Journal of Computational Physics
Accelerated Inexact Newton Schemes for Large Systems of Nonlinear Equations
SIAM Journal on Scientific Computing
Iterative Procedures for Nonlinear Integral Equations
Journal of the ACM (JACM)
Templates for the solution of algebraic eigenvalue problems: a practical guide
Templates for the solution of algebraic eigenvalue problems: a practical guide
SIAM Journal on Scientific Computing
A geometric theory for preconditioned inverse iteration applied to a subspace
Mathematics of Computation
Journal of Computational Physics
Finite element approach for density functional theory calculations on locally-refined meshes
Journal of Computational Physics
Fast plane wave density functional theory molecular dynamics calculations on multi-GPU machines
Journal of Computational Physics
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An Accelerated Block Preconditioned Gradient (ABPG) method is proposed to solve electronic structure problems in Density Functional Theory. This iterative algorithm is designed to solve directly the non-linear Kohn-Sham equations for accurate discretization schemes involving a large number of degrees of freedom. It makes use of an acceleration scheme similar to what is known as RMM-DIIS in the electronic structure community. The method is illustrated with examples of convergence for large scale applications using a finite difference discretization and multigrid preconditioning.