Semi-infinite quasi-Toeplitz matrices with applications to QBD stochastic processes. - Dario A. Bini; Stefano Massei; Beatrice Meini (Math. Comput., 2018)

On quadratic matrix equations with infinite size coefficients encountered in QBD stochastic processes. - Dario A. Bini; Stefano Massei; Beatrice Meini; Leonardo Robol (Numer. Linear Algebra Appl., 2018)

Solving Rank-Structured Sylvester and Lyapunov Equations. - Stefano Massei; Davide Palitta; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2018)

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices. - Alice Cortinovis; Daniel Kressner; Stefano Massei (CoRR, 2019)

Rational Krylov for Stieltjes matrix functions: convergence and pole selection. - Stefano Massei; Leonardo Robol (CoRR, 2019)

Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox. - Dario A. Bini; Stefano Massei; Leonardo Robol (Numer. Algorithms, 2019)

Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations. - Daniel Kressner; Stefano Massei; Leonardo Robol (SIAM J. Sci. Comput., 2019)

Fast Solvers for Two-Dimensional Fractional Diffusion Equations Using Rank Structured Matrices. - Stefano Massei; Mariarosa Mazza; Leonardo Robol (SIAM J. Sci. Comput., 2019)

Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation. - Alice Cortinovis; Daniel Kressner; Stefano Massei; Benjamin Peherstorfer (ACC, 2020)

Certified and fast computations with shallow covariance kernels. - Daniel Kressner; Jonas Latz; Stefano Massei; Elisabeth Ullmann (CoRR, 2020)

Some algorithms for maximum volume and cross approximation of symmetric semidefinite matrices. - Stefano Massei (CoRR, 2020)

Low-rank updates and divide-and-conquer methods for quadratic matrix equations. - Daniel Kressner; Patrick Kürschner; Stefano Massei (Numer. Algorithms, 2020)

A Low-Rank Technique for Computing the Quasi-Stationary Distribution of Subcritical Galton-Watson Processes. - Sophie Hautphenne; Stefano Massei (SIAM J. Matrix Anal. Appl., 2020)

A Computational Framework for Two-Dimensional Random Walks With Restarts. - Dario A. Bini; Stefano Massei; Beatrice Meini; Leonardo Robol (SIAM J. Sci. Comput., 2020)

hm-toolbox: MATLAB Software for HODLR and HSS Matrices. - Stefano Massei; Leonardo Robol; Daniel Kressner (SIAM J. Sci. Comput., 2020)

Hierarchical adaptive low-rank format with applications to discretized PDEs. - Stefano Massei; Leonardo Robol; Daniel Kressner (CoRR, 2021)

Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. - Daniel Kressner; Kathryn Lund; Stefano Massei; Davide Palitta (Numer. Linear Algebra Appl., 2021)

On the influence of roundoff errors on the convergence of the gradient descent method with low-precision floating-point computation. - Lu Xia; Stefano Massei; Michiel E. Hochstenbach; Barry Koren (CoRR, 2022)

Improved parallel-in-time integration via low-rank updates and interpolation. - Daniel Kressner; Stefano Massei; Junli Zhu (CoRR, 2022)

Hierarchical adaptive low-rank format with applications to discretized partial differential equations. - Stefano Massei; Leonardo Robol; Daniel Kressner (Numer. Linear Algebra Appl., 2022)

Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure. - Alice Cortinovis; Daniel Kressner; Stefano Massei (SIAM J. Matrix Anal. Appl., 2022)

Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices. - Stefano Massei; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2022)

A nested divide-and-conquer method for tensor Sylvester equations with positive definite hierarchically semiseparable coefficients. - Stefano Massei; Leonardo Robol (CoRR, 2023)

Optimizing network robustness via Krylov subspaces. - Stefano Massei; Francesco Tudisco (CoRR, 2023)

AdamL: A fast adaptive gradient method incorporating loss function. - Lu Xia; Stefano Massei (CoRR, 2023)

Improved ParaDiag via low-rank updates and interpolation. - Daniel Kressner; Stefano Massei; Junli Zhu (Numerische Mathematik, 2023)

Reduced Order Modeling for Thermal Simulations of Electric Components With Surface-to-Surface Radiation. - Matteo Zorzetto; Riccardo Torchio; Francesco Lucchini; Stefano Massei; Leonardo Robol; Fabrizio Dughiero (IEEE Access, 2024)

Optimal Polynomial Smoothers for Parallel AMG. - Pasqua D'Ambra; Fabio Durastante; Salvatore Filippone; Stefano Massei; Stephen Thomas (CoRR, 2024)

On the data-sparsity of the solution of Riccati equations with applications to feedback control. - Stefano Massei; Luca Saluzzi (CoRR, 2024)

On Stochastic Roundoff Errors in Gradient Descent with Low-Precision Computation. - Lu Xia; Stefano Massei; Michiel E. Hochstenbach; Barry Koren (J. Optim. Theory Appl., 2024)

On the convergence of the gradient descent method with stochastic fixed-point rounding errors under the Polyak-Łojasiewicz inequality. - Lu Xia; Stefano Massei; Michiel E. Hochstenbach (Comput. Optim. Appl., 2025)

Error formulas for block rational Krylov approximations of matrix functions. - Stefano Massei; Leonardo Robol (CoRR, 2025)