Author

Mirjeta Pasha

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Preprint Sep 2026

A provably convergent MM-GKS variant for large-scale inverse problems

This work proposes a variant of MM-GKS that alternately compresses and expands the search space while maintaining strict monotonic convergence, and shows that the method provably converges to the minimum of the selected functional, even if the search space dimension is kept very small.

Mirjeta Pasha, E. de Sturler, M. Kilmer · 0 citations

Preprint Aug 2026

Randomized Tucker-Sketched GMRES

Two randomized algorithms within the sketched GMRES framework that replace full Arnoldi orthogonalization with short recurrences are proposed, providing robustness across a wide range of problems and outperform standard low-rank Tucker solvers in symmetric and non-symmetric settings.

Alberto Bucci, Martina Iannacito, Mirjeta Pasha et al. · 0 citations