Computation of Smallest Eigenvalues in the Sturm–Liouville Problem with Strongly Varying Coefficients
Alexander Malyshev
Abstract
Alexander Malyshev
Abstract
An efficient method is developed for computation of eigenvalues and eigenvectors with high relative precision in the Sturm–Liouville problem with strongly varying coefficients. Accuracy of the method is independent of the traditional condition number. New structured condition numbers for nonmultiple eigenvalues are introduced.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
An efficient method is developed for computation of eigenvalues and eigenvectors with high relative precision in the Sturm–Liouville problem with strongly varying coefficients. Accuracy of the method is independent of the traditional condition number. New structured condition numbers for nonmultiple eigenvalues are introduced.
Key concepts: Sturm–Liouville theory, Eigenvalues and eigenvectors, Mathematics, Computation, Applied mathematics, Mathematical analysis, Combinatorics, Algorithm