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math.NA2025

On properties and numerical computation of critical points of eigencurves of bivariate matrix pencils

Bor Plestenjak

We investigate critical points of eigencurves of bivariate matrix pencils . Points for which form algebraic curves in and we…

math.NA2025

Numerical methods for eigenvalues of singular polynomial eigenvalue problems

Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak

Recently, three numerical methods for the computation of eigenvalues of singular matrix pencils, based on a rank-completing perturbation, a rank-projection, or an augmentation were…

math.NA2024

A Sylvester equation approach for the computation of zero-group-velocity points in waveguides

Bor Plestenjak, Daniel A. Kiefer, Hauke Gravenkamp

Eigenvalues of parameter-dependent quadratic eigenvalue problems form eigencurves. The critical points on these curves, where the derivative vanishes, are of practical interest. A…

math.NA2024

Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding

Haoze He, Daniel Kressner, Bor Plestenjak

It is well known that a family of commuting matrices can be simultaneously triangularized by a unitary similarity transformation. The diagonal entries of the triangular…

math.NA2024

Solving singular generalized eigenvalue problems. Part III: structure preservation

Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak

In Parts I and II of this series of papers, three new methods for the computation of eigenvalues of singular pencils were developed: rank-completing perturbations, rank-projections…