Author

E. de Sturler

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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