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ORCIDDavide Palitta
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2020 – today
- 2024
[j12]Martin J. Gander
, Davide Palitta:
A New ParaDiag Time-Parallel Time Integration Method. SIAM J. Sci. Comput. 46(2): 697- (2024)- [i20]Davide Palitta, Sascha Portaro:
Row-aware Randomized SVD with applications. CoRR abs/2408.04503 (2024) - [i19]Alberto Bucci, Davide Palitta, Leonardo Robol:
Randomized sketched TT-GMRES for linear systems with tensor structure. CoRR abs/2409.09471 (2024) - 2023
- [j11]Davide Palitta, Jemima M. Tabeart:
Stein-based preconditioners for weak-constraint 4D-var. J. Comput. Phys. 482: 112068 (2023) - [j10]Peter Benner, Davide Palitta, Jens Saak:
On an integrated Krylov-ADI solver for large-scale Lyapunov equations. Numer. Algorithms 92(1): 35-63 (2023) - [i18]Martin J. Gander, Davide Palitta:
A new ParaDiag time-parallel time integration method. CoRR abs/2304.12597 (2023) - [i17]Davide Palitta, Marcel Schweitzer, Valeria Simoncini:
Sketched and truncated polynomial Krylov methods: Evaluation of matrix functions. CoRR abs/2306.06481 (2023) - [i16]Stefania Bellavia, Davide Palitta, Margherita Porcelli, Valeria Simoncini:
Regularized methods via cubic subspace minimization for nonconvex optimization. CoRR abs/2306.14290 (2023) - [i15]Davide Palitta, Marcel Schweitzer, Valeria Simoncini:
Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Equations. CoRR abs/2311.16019 (2023) - [i14]Kathryn Lund, Davide Palitta:
Low-rank-modified Galerkin methods for the Lyapunov equation. CoRR abs/2312.00463 (2023) - [i13]Davide Palitta, Zoran Tomljanovic, Ivica Nakic, Jens Saak:
Efficient solution of sequences of parametrized Lyapunov equations with applications. CoRR abs/2312.08201 (2023) - 2022
- [j9]Davide Palitta, Sanda Lefteriu:
An Efficient, Memory-Saving Approach for the Loewner Framework. J. Sci. Comput. 91(1): 31 (2022) - [j8]Davide Palitta, Stefano Pozza, Valeria Simoncini:
The Short-Term Rational Lanczos Method and Applications. SIAM J. Sci. Comput. 44(4): 2843- (2022) - [i12]Peter Benner, Davide Palitta, Jens Saak:
Krylov techniques for low-rank ADI. CoRR abs/2203.17174 (2022) - [i11]Davide Palitta, Jemima M. Tabeart:
Stein-based preconditioners for weak-constraint 4D-var. CoRR abs/2203.17184 (2022) - 2021
- [j7]Davide Palitta:
Matrix Equation Techniques for Certain Evolutionary Partial Differential Equations. J. Sci. Comput. 87(3): 99 (2021) - [j6]Davide Palitta, Patrick Kürschner:
On the convergence of Krylov methods with low-rank truncations. Numer. Algorithms 88(3): 1383-1417 (2021) - [j5]Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta:
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. Numer. Linear Algebra Appl. 28(1) (2021) - [i10]Davide Palitta, Stefano Pozza, Valeria Simoncini:
The Short-term Rational Lanczos Method and Applications. CoRR abs/2103.04054 (2021) - [i9]Davide Palitta, Sanda Lefteriu:
An efficient, memory-saving approach for the Loewner framework. CoRR abs/2103.07146 (2021) - [i8]Julian Henning, Davide Palitta, Valeria Simoncini, Karsten Urban:
Very Weak Space-Time Variational Formulation for the Wave Equation: Analysis and Efficient Numerical Solution. CoRR abs/2107.12119 (2021) - [i7]Peter Benner, Bruno Iannazzo, Beatrice Meini, Davide Palitta:
Palindromic linearization and numerical solution of nonsymmetric algebraic T-Riccati equations. CoRR abs/2110.03254 (2021) - 2020
- [i6]Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta:
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. CoRR abs/2002.01506 (2020) - [i5]Peter Benner, Davide Palitta:
On the Solution of the Nonsymmetric T-Riccati Equation. CoRR abs/2003.03693 (2020)
2010 – 2019
- 2019
- [c1]Julian Henning, Davide Palitta, Valeria Simoncini, Karsten Urban:
Matrix Oriented Reduction of Space-Time Petrov-Galerkin Variational Problems. ENUMATH 2019: 1049-1057 - [i4]Davide Palitta, Valeria Simoncini:
Optimality properties of Galerkin and Petrov-Galerkin methods for linear matrix equations. CoRR abs/1908.06016 (2019) - [i3]Davide Palitta:
Matrix equation techniques for certain evolutionary partial differential equations. CoRR abs/1908.11851 (2019) - [i2]Davide Palitta, Patrick Kürschner:
On the convergence of Krylov methods with low-rank truncations. CoRR abs/1909.01226 (2019) - [i1]Julian Henning, Davide Palitta, Valeria Simoncini, Karsten Urban:
Matrix oriented reduction of space-time Petrov-Galerkin variational problems. CoRR abs/1912.10082 (2019) - 2018
- [j4]Davide Palitta, Valeria Simoncini:
Computationally enhanced projection methods for symmetric Sylvester and Lyapunov matrix equations. J. Comput. Appl. Math. 330: 648-659 (2018) - [j3]Elias Jarlebring, Giampaolo Mele, Davide Palitta, Emil Ringh:
Krylov methods for low-rank commuting generalized Sylvester equations. Numer. Linear Algebra Appl. 25(6) (2018) - [j2]Stefano Massei, Davide Palitta, Leonardo Robol:
Solving Rank-Structured Sylvester and Lyapunov Equations. SIAM J. Matrix Anal. Appl. 39(4): 1564-1590 (2018) - [j1]Davide Palitta, Valeria Simoncini:
Numerical Methods for Large-Scale Lyapunov Equations with Symmetric Banded Data. SIAM J. Sci. Comput. 40(5): A3581-A3608 (2018)
Coauthor Index
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