2 citations · 2 across the 3 of their papers we have counts for
3 papers
Optimization Methods for Joint Eigendecomposition
Erik Troedsson, Marcus Carlsson, Herwig Wendt
Joint diagonalization, the process of finding a shared set of approximate eigenvectors for a collection of matrices, arises in diverse applications such as multidimensional harmoni…
The bilinear Hessian for large scale optimization
Marcus Carlsson, Viktor Nikitin, Erik Troedsson +1
Second order information is useful in many ways in smooth optimization problems, including for the design of step size rules and descent directions, or the analysis of the local pr…
On joint eigen-decomposition of matrices
Erik Troedsson, Daniel Falkowski, Carl-Fredrik Lidgren +2
The problem of approximate joint diagonalization of a collection of matrices arises in a number of diverse engineering and signal processing problems. This problem is usually cast…