Extreme eigenvalues of large sparse matrices by Rayleigh quotient and modified conjugate gradients
Computer Methods in Applied Mechanics and Engineering
Accelerated simultaneous iterations for large finite element eigenproblems
Journal of Computational Physics
A Jacobi--Davidson Iteration Method for Linear EigenvalueProblems
SIAM Journal on Matrix Analysis and Applications
The symmetric eigenvalue problem
The symmetric eigenvalue problem
The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
A review of algebraic multigrid
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. VII: partial differential equations
SIAM Journal on Scientific Computing
Journal of Computational Physics
SIAM Journal on Numerical Analysis
Conjugate gradient eigenstructure tracking for adaptive spectralestimation
IEEE Transactions on Signal Processing
Journal of Computational Physics
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The paper is concerned with algorithms for computing several extreme eigenpairs of Hermitian problems based on the conjugate gradient method. We analyse computational strategies employed by various algorithms of this kind reported in the literature and identify their limitations. Our criticism is illustrated by numerical tests on a set of problems from electronic structure calculations and acoustics.