Computationally enhanced projection methods for symmetric Sylvester and Lyapunov matrix equations. - Davide Palitta; Valeria Simoncini (J. Comput. Appl. Math., 2018)

Krylov methods for low-rank commuting generalized Sylvester equations. - Elias Jarlebring; Giampaolo Mele; Davide Palitta; Emil Ringh (Numer. Linear Algebra Appl., 2018)

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

Numerical Methods for Large-Scale Lyapunov Equations with Symmetric Banded Data. - Davide Palitta; Valeria Simoncini (SIAM J. Sci. Comput., 2018)

Matrix Oriented Reduction of Space-Time Petrov-Galerkin Variational Problems. - Julian Henning; Davide Palitta; Valeria Simoncini; Karsten Urban (ENUMATH, 2019)

Optimality properties of Galerkin and Petrov-Galerkin methods for linear matrix equations. - Davide Palitta; Valeria Simoncini (CoRR, 2019)

On the Solution of the Nonsymmetric T-Riccati Equation. - Peter Benner; Davide Palitta (CoRR, 2020)

Very Weak Space-Time Variational Formulation for the Wave Equation: Analysis and Efficient Numerical Solution. - Julian Henning; Davide Palitta; Valeria Simoncini; Karsten Urban (CoRR, 2021)

Palindromic linearization and numerical solution of nonsymmetric algebraic T-Riccati equations. - Peter Benner; Bruno Iannazzo; Beatrice Meini; Davide Palitta (CoRR, 2021)

Matrix Equation Techniques for Certain Evolutionary Partial Differential Equations. - Davide Palitta (J. Sci. Comput., 2021)

On the convergence of Krylov methods with low-rank truncations. - Davide Palitta; Patrick Kürschner (Numer. Algorithms, 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)

Krylov techniques for low-rank ADI. - Peter Benner; Davide Palitta; Jens Saak (CoRR, 2022)

An Efficient, Memory-Saving Approach for the Loewner Framework. - Davide Palitta; Sanda Lefteriu (J. Sci. Comput., 2022)

The Short-Term Rational Lanczos Method and Applications. - Davide Palitta; Stefano Pozza; Valeria Simoncini (SIAM J. Sci. Comput., 2022)

Regularized methods via cubic subspace minimization for nonconvex optimization. - Stefania Bellavia; Davide Palitta; Margherita Porcelli; Valeria Simoncini (CoRR, 2023)

Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Equations. - Davide Palitta; Marcel Schweitzer; Valeria Simoncini (CoRR, 2023)

Low-rank-modified Galerkin methods for the Lyapunov equation. - Kathryn Lund; Davide Palitta (CoRR, 2023)

On an integrated Krylov-ADI solver for large-scale Lyapunov equations. - Peter Benner; Davide Palitta; Jens Saak (Numer. Algorithms, 2023)

Stein-based preconditioners for weak-constraint 4D-var. - Davide Palitta; Jemima M. Tabeart (J. Comput. Phys., 2023)

Row-aware Randomized SVD with applications. - Davide Palitta; Sascha Portaro (CoRR, 2024)

Randomized sketched TT-GMRES for linear systems with tensor structure. - Alberto Bucci; Davide Palitta; Leonardo Robol (CoRR, 2024)

Sketched and truncated polynomial Krylov subspace methods: Matrix Sylvester equations. - Davide Palitta; Marcel Schweitzer; Valeria Simoncini (Math. Comput., 2024)

A New ParaDiag Time-Parallel Time Integration Method. - Martin J. Gander; Davide Palitta (SIAM J. Sci. Comput., 2024)

A subspace-conjugate gradient method for linear matrix equations. - Davide Palitta; Martina Iannacito; Valeria Simoncini (CoRR, 2025)

Sketched and Truncated Polynomial Krylov Methods: Evaluation of Matrix Functions. - Davide Palitta; Marcel Schweitzer; Valeria Simoncini (Numer. Linear Algebra Appl., 2025)

Efficient Solution of Sequences of Parametrized Lyapunov Equations With Applications. - Davide Palitta; Zoran Tomljanovic; Ivica Nakic; Jens Saak (Numer. Linear Algebra Appl., 2025)

Regularized methods via cubic model subspace minimization for nonconvex optimization. - Stefania Bellavia; Davide Palitta; Margherita Porcelli; Valeria Simoncini (Comput. Optim. Appl., 2025)

S⊤S-SVD and the Nearest Sketched Orthogonal Matrix. - Davide Palitta; Valeria Simoncini (CoRR, 2025)

Correction: Regularized methods via cubic model subspace minimization for nonconvex optimization. - Stefania Bellavia; Davide Palitta; Margherita Porcelli; Valeria Simoncini (Comput. Optim. Appl., 2025)

Minimal residual rational Krylov subspace method for sequences of shifted linear systems. - Hussam Al Daas; Davide Palitta (CoRR, 2025)