Fabio Durastante

51 papers C 1Journal 49Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Nearest Reversible Markov Chains with Sparsity Constraints: An Optimization Approach. CoRR Stefano Cipolla, Fabio Durastante, Miryam Gnazzo, Beatrice Meini
2026	J	`jnl`	Stage-Parallel Implicit Runge-Kutta Methods Via Low-Rank Matrix Equation Corrections. J. Sci. Comput. Fabio Durastante, Mariarosa Mazza
2026	J	`jnl`	Walk based Laplacians for Modeling Diffusion on Complex Networks. CoRR Francesca Arrigo, Fabio Durastante
2025	J	`jnl`	A Riemannian Optimization Approach for Finding the Nearest Reversible Markov Chain. CoRR Fabio Durastante, Miryam Gnazzo, Beatrice Meini
2025	J	`jnl`	A ⋆-Product Approach for Analytical and Numerical Solutions of Nonautonomous Linear Fractional Differential Equations. CoRR Fabio Durastante, Pierre-Louis Giscard, Stefano Pozza
2025	J	`jnl`	Enforcing Katz and PageRank Centrality Measures in Complex Networks. SIAM J. Math. Data Sci. Stefano Cipolla, Fabio Durastante, Beatrice Meini
2025	J	`jnl`	Kemeny's constant minimization for reversible Markov chains via structure-preserving perturbations. CoRR Fabio Durastante, Miryam Gnazzo, Beatrice Meini
2025	J	`jnl`	Low-Rank Solvers for Energy-Conserving Hamiltonian Boundary Value Methods. CoRR Fabio Durastante, Mariarosa Mazza
2025	J	`jnl`	Optimal polynomial smoothers for parallel AMG. Numer. Algorithms Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone, Stefano Massei, Stephen Thomas
2025	J	`jnl`	Parallel matching-based AMG preconditioners for elliptic equations discretized by IgA. CoRR Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2025	J	`jnl`	Stage-Parallel Implicit Runge-Kutta methods via low-rank matrix equation corrections. CoRR Fabio Durastante, Mariarosa Mazza
2024	J	`jnl`	Alya toward exascale: algorithmic scalability using PSCToolkit. J. Supercomput. Herbert Owen, Oriol Lehmkuhl, Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2024	J	`jnl`	Efficient computation of the sinc matrix function for the integration of second-order differential equations. Adv. Comput. Math. Lidia Aceto, Fabio Durastante
2024	J	`jnl`	Enforcing Katz and PageRank Centrality Measures in Complex Networks. CoRR Stefano Cipolla, Fabio Durastante, Beatrice Meini
2024	J	`jnl`	Modelling advection on distance-weighted directed networks. CoRR Michele Benzi, Fabio Durastante, Francesco Zigliotto
2024	J	`jnl`	Optimal Polynomial Smoothers for Parallel AMG. CoRR Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone, Stefano Massei, Stephen Thomas
2024	J	`jnl`	PSCToolkit: solving sparse linear systems with a large number of GPUs. CoRR Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2024	J	`jnl`	Stochastic \({p}\)th Root Approximation of a Stochastic Matrix: A Riemannian Optimization Approach. SIAM J. Matrix Anal. Appl. Fabio Durastante, Beatrice Meini
2024	J	`jnl`	Why diffusion-based preconditioning of Richards equation works: Spectral analysis and computational experiments at very large scale. Numer. Linear Algebra Appl. Daniele Bertaccini, Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2023	C	`conf`	AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching. PDP Pasqua D'Ambra, Fabio Durastante, S. M. Ferdous, Salvatore Filippone, Mahantesh Halappanavar, Alex Pothen
2023	J	`jnl`	Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations. Comput. Math. Appl. Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone, Ludmil T. Zikatanov
2023	J	`jnl`	Efficient computation of the sinc matrix function for the integration of second-order differential equations. CoRR Lidia Aceto, Fabio Durastante
2023	J	`jnl`	On Kemeny's constant and stochastic complement. CoRR Dario Andrea Bini, Fabio Durastante, Sooyeong Kim, Beatrice Meini
2023	J	`jnl`	Parallel Sparse Computation Toolkit. Softw. Impacts Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2023	J	`jnl`	Stochastic pth root approximation of a stochastic matrix: A Riemannian optimization approach. CoRR Fabio Durastante, Beatrice Meini
2022	J	`jnl`	Alya towards Exascale: Algorithmic Scalability using PSCToolkit. CoRR Herbert Owen, Oriol Lehmkuhl, Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2022	J	`jnl`	Efficient computation of the Wright function and its applications to fractional diffusion-wave equations. CoRR Lidia Aceto, Fabio Durastante
2022	J	`jnl`	Nonlocal diffusion of variable order on complex networks. Int. J. Comput. Math. Comput. Syst. Theory Daniele Bertaccini, Fabio Durastante
2022	J	`jnl`	Theoretical error estimates for computing the matrix logarithm by Padé-type approximants. CoRR Lidia Aceto, Fabio Durastante
2021	J	`jnl`	AMG Preconditioners for Linear Solvers towards Extreme Scale. SIAM J. Sci. Comput. Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2021	J	`jnl`	Compatibility, embedding and regularization of non-local random walks on graphs. CoRR Davide Bianchi, Marco Donatelli, Fabio Durastante, Mariarosa Mazza
2021	J	`jnl`	Mittag-Leffler Functions and their Applications in Network Science. SIAM J. Matrix Anal. Appl. Francesca Arrigo, Fabio Durastante
2021	J	`jnl`	Mittag-Leffler functions and their applications in network science. CoRR Francesca Arrigo, Fabio Durastante
2021	J	`jnl`	Nonlocal diffusion of variable order on graphs. CoRR Daniele Bertaccini, Fabio Durastante
2021	J	`jnl`	Preconditioning Richards Equations: spectral analysis and parallel solution at very large scale. CoRR Daniele Bertaccini, Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2021	J	`jnl`	Regularization of inverse problems by an approximate matrix-function technique. Numer. Algorithms Stefano Cipolla, Marco Donatelli, Fabio Durastante
2020	J	`jnl`	AMG preconditioners for Linear Solvers towards Extreme Scale. CoRR Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2020	J	`jnl`	Computing functions of very large matrices with small TT/QTT ranks by quadrature formulas. J. Comput. Appl. Math. Daniele Bertaccini, Fabio Durastante
2020	J	`jnl`	Non-local network dynamics via fractional graph Laplacians. J. Complex Networks Michele Benzi, Daniele Bertaccini, Fabio Durastante, Igor Simunec, Ernesto Estrada
2020	J	`jnl`	Nonlocal PageRank. CoRR Stefano Cipolla, Fabio Durastante, Francesco Tudisco
2020	J	`jnl`	On the quality of matching-based aggregates for algebraic coarsening of SPD matrices in AMG. CoRR Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2019	J	`jnl`	Block structured preconditioners in tensor form for the all-at-once solution of a finite volume fractional diffusion equation. Appl. Math. Lett. Daniele Bertaccini, Fabio Durastante
2019	—	`conf`	Computing Function of Large Matrices by a Preconditioned Rational Krylov Method. ENUMATH Daniele Bertaccini, Fabio Durastante
2019	J	`jnl`	Efficient approximation of functions of some large matrices by partial fraction expansions. Int. J. Comput. Math. Daniele Bertaccini, Marina Popolizio, Fabio Durastante
2019	J	`jnl`	Fractional dynamics on directed networks. CoRR Michele Benzi, Daniele Bertaccini, Fabio Durastante
2019	J	`jnl`	Rational Krylov methods for functions of matrices with applications to fractional partial differential equations. J. Comput. Phys. Lidia Aceto, Daniele Bertaccini, Fabio Durastante, Paolo Novati
2019	J	`jnl`	Regularizing properties of a class of matrices including the optimal and the superoptimal preconditioners. Numer. Linear Algebra Appl. Stefano Cipolla, Carmine Di Fiore, Fabio Durastante, Paolo Zellini
2019	J	`jnl`	Spectral Analysis of Saddle-point Matrices from Optimization problems with Elliptic PDE Constraints. CoRR Fabio Durastante, Isabella Furci
2018	J	`jnl`	Limited Memory Block Preconditioners for Fast Solution of Fractional Partial Differential Equations. J. Sci. Comput. Daniele Bertaccini, Fabio Durastante
2017	J	`jnl`	Solving mixed classical and fractional partial differential equations using short-memory principle and approximate inverses. Numer. Algorithms Daniele Bertaccini, Fabio Durastante
2016	J	`jnl`	Interpolating preconditioners for the solution of sequence of linear systems. Comput. Math. Appl. Daniele Bertaccini, Fabio Durastante