SIAM Journal on Matrix Analysis and Applications · 1999 · 23 citations · 9 references
Natural SciencesMathematicsComputational MechanicsComputational PhysicsOptimizationEigenvalue ProblemsMatrix ComputationNumerical AnalysisNumerical Linear AlgebraOperator TheoryEigenvalue AlgorithmsEigenvalue ComputationEigenvalue ExtractionEigenvaluesEigenvectorsGeneralized Eigenvalue ProblemsGeneralized EigenvectorsNonlinear Eigenvalue Problems
Let $A(\lambda )$ be a holomorphic matrix-valued function defined on a domain $\Omega \subset {\Bbb C}.$ The nonlinear eigenproblem of finding generalized eigenpairs $\lambda ,\ v$ such that $A(\lambda )v=0$ is considered. The method which is exposed for solving this problem is based on the derivatives of the function $x(\lambda )=A(\lambda )^{-1}b$, where b is a given vector. Theoretical convergence results are established, and an algorithm is proposed for computing a few eigenvalues close to a given complex number together with some corresponding eigenvectors.
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An Algorithm for Generalized Matrix Eigenvalue Problems
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