Sorensen, Danny C. Numerical methods for large eigenvalue problems. (English) Zbl 1105.65325 Acta Numerica 11, 519-584 (2002). Summary: Over the past decade considerable progress has been made towards the numerical solution of large-scale eigenvalue problems, particularly for nonsymmetric matrices. Krylov methods and variants of subspace iteration have been improved to the point that problems of the order of several million variables can be solved. The methods and software that have led to these advances are surveyed. Cited in 1 ReviewCited in 30 Documents MSC: 65F15 Numerical computation of eigenvalues and eigenvectors of matrices Keywords:large-scale eigenvalue problems; nonsymmetric matrices; Krylov methods; subspace iteration PDFBibTeX XMLCite \textit{D. C. Sorensen}, Acta Numerica 11, 519--584 (2002; Zbl 1105.65325) Full Text: DOI