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math.RA2020
Jordan Algebras of Symmetric Matrices
Arthur Bik, Henrik Eisenmann, Bernd Sturmfels
We study linear spaces of symmetric matrices whose reciprocal is also a linear space. These are Jordan algebras. We classify such algebras in low dimensions, and we study the assoc…
math.NA2020
Solving two-parameter eigenvalue problems using an alternating method
Henrik Eisenmann, Yuji Nakatsukasa
We present a new approach to compute selected eigenvalues and eigenvectors of the two-parameter eigenvalue problem. Our method requires computing generalized eigenvalue problems of…