Computation of mixed partial derivatives of eigenvalues and eigenvectors by simultaneous iteration

DOI<641::AID-CNM278>3.0.CO;2-1 10.1002/(SICI)1099-0887(199909)15:9<641::AID-CNM278>3.0.CO;2-1zbMath0944.65040OpenAlexW1983977627MaRDI QIDQ3836285

Roger C. E. Tan, Alan L. Andrew

Publication date: 13 September 2000

Full work available at URL: https://doi.org/10.1002/(sici)1099-0887(199909)15:9<641::aid-cnm278>3.0.co;2-1

zbMATH Keywords

algorithmstabilitynumerical exampleseigenvaluesconvergence accelerationeigenvectorsiterative methodssparse matricessubspace iterationsecond-order sensitivities

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Numerical computation of eigenvalues and eigenvectors of matrices (65F15)

Related Items

Derivatives of complex eigenvectors with distinct and repeated eigenvalues, Review of options for structural design sensitivity analysis. I: Linear systems, An eigenspace method for computing derivatives of semi-simple eigenvalues and corresponding eigenvectors of quadratic eigenvalue problems

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