activity
20152026
most citedSolving singular generalized eigenvalue problems by a rank-completing perturbation

28 citations · 164 across the 19 of their papers we have counts for

collaborators

21 papers

cs.IR2026

What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)

Mahe Chen, Nick Koudas

Generative search engines such as ChatGPT, Gemini and Perplexity now decide which Web pages users see as sources, and a growing industry of generative engine optimization advises p…

physics.class-ph2025

Computing leaky waves in semi-analytical waveguide models by exponential residual relaxation

Hauke Gravenkamp, Bor Plestenjak, Daniel A. Kiefer

Semi-analytical methods for the modeling of guided waves in structures of constant cross-section lead to frequency-dependent polynomial eigenvalue problems for the wavenumbers and…

math.NA2024★ 3 cited

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

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 focus…

math.NA2024★ 1 cited

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…

math.NA2024

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★ 16 cited

Computation of leaky waves in layered structures coupled to unbounded media by exploiting multiparameter eigenvalue problems

Hauke Gravenkamp, Bor Plestenjak, Daniel A. Kiefer +1

We present a semi-analytical approach to compute quasi-guided elastic wave modes in horizontally layered structures radiating into unbounded fluid or solid media. This problem is o…

physics.class-ph2023★ 20 cited

Notes on osculations and mode tracing in semi-analytical waveguide modeling

Hauke Gravenkamp, Bor Plestenjak, Daniel A. Kiefer

The dispersion curves of (elastic) waveguides frequently exhibit crossings and osculations (also known as veering, repulsion, or avoided crossing). Osculations are regions in the d…

math.NA2023★ 2 cited

Analysis of eigenvalue condition numbers for a class of randomized numerical methods for singular matrix pencils

Daniel Kressner, Bor Plestenjak

The numerical solution of the generalized eigenvalue problem for a singular matrix pencil is challenging due to the discontinuity of its eigenvalues. Classically, such problems are…

math.NA2022★ 7 cited

Numerical methods for rectangular multiparameter eigenvalue problems, with applications to finding optimal ARMA and LTI models

Michiel E. Hochstenbach, Tomaž Košir, Bor Plestenjak

Standard multiparameter eigenvalue problems (MEPs) are systems of linear -parameter square matrix pencils. Recently, a new form of multiparameter eigenvalue problems ha…

physics.class-ph2022★ 28 cited

Computing zero-group-velocity points in anisotropic elastic waveguides: Globally and locally convergent methods

Daniel A. Kiefer, Bor Plestenjak, Hauke Gravenkamp +1

Dispersion curves of elastic waveguides exhibit points where the group velocity vanishes while the wavenumber remains finite. These are the so-called zero-group-velocity (ZGV) poin…

math.NA2022★ 9 cited

Solving singular generalized eigenvalue problems. Part II: projection and augmentation

Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak

Generalized eigenvalue problems involving a singular pencil may be very challenging to solve, both with respect to accuracy and efficiency. While Part I presented a rank-completing…

math.NA2021★ 9 cited

On the singular two-parameter eigenvalue problem II

Tomaž Košir, Bor Plestenjak

In the 1960s, Atkinson introduced an abstract algebraic setting for multiparameter eigenvalue problems. He showed that a nonsingular multiparameter eigenvalue problem is equivalent…

math.NA2018★ 5 cited

Computing several eigenvalues of nonlinear eigenvalue problems by selection

Michiel E. Hochstenbach, Bor Plestenjak

Computing more than one eigenvalue for (large sparse) one-parameter polynomial and general nonlinear eigenproblems, as well as for multiparameter linear and nonlinear eigenproblems…

math.NA2018★ 28 cited

Solving singular generalized eigenvalue problems by a rank-completing perturbation

Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak

Generalized eigenvalue problems involving a singular pencil are very challenging to solve, both with respect to accuracy and efficiency. The existing package Guptri is very elegant…

math.NA2018★ 12 cited

Subspace Methods for 3-Parameter Eigenvalue Problems

Michiel E. Hochstenbach, Karl Meerbergen, Emre Mengi +1

We propose subspace methods for 3-parameter eigenvalue problems. Such problems arise when separation of variables is applied to separable boundary value problems; a particular exam…

math.NA2016★ 3 cited

Simple determinantal representations of up to quintic bivariate polynomials

Anita Buckley, Bor Plestenjak

For bivariate polynomials of degree we give fast numerical constructions of determinantal representations with matrices. Unlike some other available constructi…

math.AC2016

Uniform determinantal representations

Ada Boralevi, Jasper van Doornmalen, Jan Draisma +2

The problem of expressing a specific polynomial as the determinant of a square matrix of affine-linear forms arises from algebraic geometry, optimisation, complexity theory, and sc…

math.NA2016★ 8 cited

Minimal determinantal representations of bivariate polynomials

Bor Plestenjak

For a square-free bivariate polynomial of degree we introduce a simple and fast numerical algorithm for the construction of matrices , , and such that…

math.NA2015★ 13 cited

Roots of bivariate polynomial systems via determinantal representations

Bor Plestenjak, Michiel E. Hochstenbach

We give two determinantal representations for a bivariate polynomial. They may be used to compute the zeros of a system of two of these polynomials via the eigenvalues of a two-par…