Matrix polynomials and eigenvalue problems are fundamental topics in linear algebra and have significant applications in various fields, including engineering, physics, and computer science.

Melman (2023): “Matrices whose eigenvalues are those of a quadratic matrix polynomial”, Linear Algebra and its Applications, 676, 131—149. [2] A. Melman (2022): “Rootfinding techniques that work”, The ...

The singularity criterion used for the inversion is where the diagonal matrix is defined using the COVSING= option. If you do not specify the COVSING= option, the nr smallest eigenvalues are set to ...