Fabio Durastante
Orcid: 0000-0002-1412-8289
According to our database1,
Fabio Durastante
authored at least 35 papers
between 2016 and 2024.
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Bibliography
2024
J. Supercomput., July, 2024
Why diffusion-based preconditioning of Richards equation works: Spectral analysis and computational experiments at very large scale.
Numer. Linear Algebra Appl., January, 2024
Stochastic \({p}\)th Root Approximation of a Stochastic Matrix: A Riemannian Optimization Approach.
SIAM J. Matrix Anal. Appl., 2024
2023
Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations.
Comput. Math. Appl., August, 2023
Stochastic pth root approximation of a stochastic matrix: A Riemannian optimization approach.
CoRR, 2023
Efficient computation of the sinc matrix function for the integration of second-order differential equations.
CoRR, 2023
AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023
2022
Int. J. Comput. Math. Comput. Syst. Theory, July, 2022
Theoretical error estimates for computing the matrix logarithm by Padé-type approximants.
CoRR, 2022
Efficient computation of the Wright function and its applications to fractional diffusion-wave equations.
CoRR, 2022
2021
SIAM J. Sci. Comput., 2021
SIAM J. Matrix Anal. Appl., 2021
Numer. Algorithms, 2021
Preconditioning Richards Equations: spectral analysis and parallel solution at very large scale.
CoRR, 2021
CoRR, 2021
2020
Computing functions of very large matrices with small TT/QTT ranks by quadrature formulas.
J. Comput. Appl. Math., 2020
On the quality of matching-based aggregates for algebraic coarsening of SPD matrices in AMG.
CoRR, 2020
J. Complex Networks, 2020
2019
Regularizing properties of a class of matrices including the optimal and the superoptimal preconditioners.
Numer. Linear Algebra Appl., 2019
Rational Krylov methods for functions of matrices with applications to fractional partial differential equations.
J. Comput. Phys., 2019
Efficient approximation of functions of some large matrices by partial fraction expansions.
Int. J. Comput. Math., 2019
Spectral Analysis of Saddle-point Matrices from Optimization problems with Elliptic PDE Constraints.
CoRR, 2019
Block structured preconditioners in tensor form for the all-at-once solution of a finite volume fractional diffusion equation.
Appl. Math. Lett., 2019
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019
2018
Limited Memory Block Preconditioners for Fast Solution of Fractional Partial Differential Equations.
J. Sci. Comput., 2018
2017
Solving mixed classical and fractional partial differential equations using short-memory principle and approximate inverses.
Numer. Algorithms, 2017
2016
Comput. Math. Appl., 2016