Davide Palitta

According to our database, Davide Palitta authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

A New ParaDiag Time-Parallel Time Integration Method.

Martin J. Gander, Davide Palitta

SIAM J. Sci. Comput., 2024

Randomized sketched TT-GMRES for linear systems with tensor structure.

Alberto Bucci, Davide Palitta, Leonardo Robol

CoRR, 2024

Row-aware Randomized SVD with applications.

Davide Palitta, Sascha Portaro

CoRR, 2024

2023

Stein-based preconditioners for weak-constraint 4D-var.

Davide Palitta, Jemima M. Tabeart

J. Comput. Phys., June, 2023

On an integrated Krylov-ADI solver for large-scale Lyapunov equations.

Peter Benner, Davide Palitta, Jens Saak

Numer. Algorithms, January, 2023

Efficient solution of sequences of parametrized Lyapunov equations with applications.

Davide Palitta, Zoran Tomljanovic, Ivica Nakic, Jens Saak

CoRR, 2023

Low-rank-modified Galerkin methods for the Lyapunov equation.

Kathryn Lund, Davide Palitta

CoRR, 2023

Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Equations.

Davide Palitta, Marcel Schweitzer, Valeria Simoncini

CoRR, 2023

Regularized methods via cubic subspace minimization for nonconvex optimization.

Stefania Bellavia, Davide Palitta, Margherita Porcelli, Valeria Simoncini

CoRR, 2023

Sketched and truncated polynomial Krylov methods: Evaluation of matrix functions.

Davide Palitta, Marcel Schweitzer, Valeria Simoncini

CoRR, 2023

2022

The Short-Term Rational Lanczos Method and Applications.

Davide Palitta, Stefano Pozza, Valeria Simoncini

SIAM J. Sci. Comput., August, 2022

An Efficient, Memory-Saving Approach for the Loewner Framework.

Davide Palitta, Sanda Lefteriu

J. Sci. Comput., 2022

Krylov techniques for low-rank ADI.

Peter Benner, Davide Palitta, Jens Saak

CoRR, 2022

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 convergence of Krylov methods with low-rank truncations.

Davide Palitta, Patrick Kürschner

Numer. Algorithms, 2021

Matrix Equation Techniques for Certain Evolutionary Partial Differential Equations.

Davide Palitta

J. Sci. Comput., 2021

Palindromic linearization and numerical solution of nonsymmetric algebraic T-Riccati equations.

Peter Benner, Bruno Iannazzo, Beatrice Meini, Davide Palitta

CoRR, 2021

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

2020

On the Solution of the Nonsymmetric T-Riccati Equation.

Peter Benner, Davide Palitta

CoRR, 2020

2019

Optimality properties of Galerkin and Petrov-Galerkin methods for linear matrix equations.

Davide Palitta, Valeria Simoncini

CoRR, 2019

Matrix Oriented Reduction of Space-Time Petrov-Galerkin Variational Problems.

Julian Henning, Davide Palitta, Valeria Simoncini, Karsten Urban

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018

Numerical Methods for Large-Scale Lyapunov Equations with Symmetric Banded Data.

Davide Palitta, Valeria Simoncini

SIAM J. Sci. Comput., 2018

Solving Rank-Structured Sylvester and Lyapunov Equations.

Stefano Massei, Davide Palitta, Leonardo Robol

SIAM J. Matrix Anal. Appl., 2018

Krylov methods for low-rank commuting generalized Sylvester equations.

Elias Jarlebring, Giampaolo Mele, Davide Palitta, Emil Ringh

Numer. Linear Algebra Appl., 2018

Computationally enhanced projection methods for symmetric Sylvester and Lyapunov matrix equations.

Davide Palitta, Valeria Simoncini

J. Comput. Appl. Math., 2018