Davide Palitta

Orcid: 0000-0002-6987-4430

According to our database1, Davide Palitta authored at least 31 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

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Bibliography

2025
Minimal residual rational Krylov subspace method for sequences of shifted linear systems.
CoRR, July, 2025

Correction: Regularized methods via cubic model subspace minimization for nonconvex optimization.
Comput. Optim. Appl., July, 2025

S<sup>⊤</sup>S-SVD and the Nearest Sketched Orthogonal Matrix.
CoRR, May, 2025

Regularized methods via cubic model subspace minimization for nonconvex optimization.
Comput. Optim. Appl., April, 2025

Efficient Solution of Sequences of Parametrized Lyapunov Equations With Applications.
Numer. Linear Algebra Appl., February, 2025

Sketched and Truncated Polynomial Krylov Methods: Evaluation of Matrix Functions.
Numer. Linear Algebra Appl., February, 2025

A subspace-conjugate gradient method for linear matrix equations.
CoRR, January, 2025

2024
A New ParaDiag Time-Parallel Time Integration Method.
SIAM J. Sci. Comput., 2024

Sketched and truncated polynomial Krylov subspace methods: Matrix Sylvester equations.
Math. Comput., 2024

Randomized sketched TT-GMRES for linear systems with tensor structure.
CoRR, 2024

Row-aware Randomized SVD with applications.
CoRR, 2024

2023
Stein-based preconditioners for weak-constraint 4D-var.
J. Comput. Phys., June, 2023

On an integrated Krylov-ADI solver for large-scale Lyapunov equations.
Numer. Algorithms, January, 2023

Low-rank-modified Galerkin methods for the Lyapunov equation.
CoRR, 2023

Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Equations.
CoRR, 2023

Regularized methods via cubic subspace minimization for nonconvex optimization.
CoRR, 2023

2022
The Short-Term Rational Lanczos Method and Applications.
SIAM J. Sci. Comput., August, 2022

An Efficient, Memory-Saving Approach for the Loewner Framework.
J. Sci. Comput., 2022

Krylov techniques for low-rank ADI.
CoRR, 2022

2021
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations.
Numer. Linear Algebra Appl., 2021

On the convergence of Krylov methods with low-rank truncations.
Numer. Algorithms, 2021

Matrix Equation Techniques for Certain Evolutionary Partial Differential Equations.
J. Sci. Comput., 2021

Palindromic linearization and numerical solution of nonsymmetric algebraic T-Riccati equations.
CoRR, 2021

Very Weak Space-Time Variational Formulation for the Wave Equation: Analysis and Efficient Numerical Solution.
CoRR, 2021

2020
On the Solution of the Nonsymmetric T-Riccati Equation.
CoRR, 2020

2019
Optimality properties of Galerkin and Petrov-Galerkin methods for linear matrix equations.
CoRR, 2019

Matrix Oriented Reduction of Space-Time Petrov-Galerkin Variational Problems.
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.
SIAM J. Sci. Comput., 2018

Solving Rank-Structured Sylvester and Lyapunov Equations.
SIAM J. Matrix Anal. Appl., 2018

Krylov methods for low-rank commuting generalized Sylvester equations.
Numer. Linear Algebra Appl., 2018

Computationally enhanced projection methods for symmetric Sylvester and Lyapunov matrix equations.
J. Comput. Appl. Math., 2018


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