Eigenvalue problems are a cornerstone of modern applied mathematics, arising in diverse fields from quantum mechanics to structural engineering. At their heart, these problems seek scalar values and ...

This is a preview. Log in through your library . Abstract This paper is concerned with positive eigenvalues and positive eigenfunctions of a class of degenerate and nondegenerate quasilinear elliptic ...

Abstract: We present a method for solving systems of polynomial equations appearing in computer vision. This method is based on polynomial eigenvalue solvers and is more straightforward and easier to ...

This paper takes another look at the convergence analysis of the Arnoldi procedure for solving non-Hermitian eigenvalue problems. Two main viewpoints are put in contrast. The first exploits the ...

Many fields of science and engineering require finding eigenvalues and eigenvectors of large matrices. The solutions can represent oscillatory modes of a bridge, a violin, the disposition of electrons ...

Abstract: In this paper, we study the eigenvalue inverse problem for a class of bifurcation matrices. The existence of a unique identity of the matrix is obtained for two given pairs of eigenvalues.

We present in this paper a new method for solving polynomial eigenvalue problem. We give methods that decompose a skew-Hamiltonian matrix using Cholesky like ...

Scripts for the paper "Application of machine learning regression models to inverse eigenvalue problems", (published in Computers & Mathematics with Applications ...

I'm trying to solve a generalized eigenvalue problem but I have no idea what functions in this toolbox I should use. Are there any eigenvalue solvers in this toolbox? I really appreciate it if you ...