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Author

Luca Saluzzi

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Open access Jul 2026

High Order Tensor-Train-Based Schemes for High-Dimensional Mean Field Games

Numerical experiments demonstrate that the TT-accelerated SL methods achieve their theoretical convergence rates, exhibit modest growth in memory usage and runtime with dimension, and significantly outperform grid-based SL in accuracy per CPU-second.

Elisabetta Carlini, Luca Saluzzi · 0 citations
Jul 2026

Steering dynamic network centrality via control theory

This work focuses on the problem of dynamic centrality, a measure of node importance in time-dependent networks, and addresses how to steer network centrality to a desired state by making minimal modifications to the network structure.

Fabio Durastante, Beatrice Meini, Luca Saluzzi · 0 citations

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