Fabio Durastante

Orcid: 0000-0002-1412-8289

According to our database1, Fabio Durastante authored at least 31 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Why diffusion-based preconditioning of Richards equation works: Spectral analysis and computational experiments at very large scale.
Numer. Linear Algebra Appl., January, 2024

2023
Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations.
Comput. Math. Appl., August, 2023

Parallel Sparse Computation Toolkit.
Softw. Impacts, March, 2023

On Kemeny's constant and stochastic complement.
CoRR, 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
Nonlocal diffusion of variable order on complex networks.
Int. J. Comput. Math. Comput. Syst. Theory, July, 2022

Theoretical error estimates for computing the matrix logarithm by Padé-type approximants.
CoRR, 2022

Alya towards Exascale: Algorithmic Scalability using PSCToolkit.
CoRR, 2022

Efficient computation of the Wright function and its applications to fractional diffusion-wave equations.
CoRR, 2022

2021
AMG Preconditioners for Linear Solvers towards Extreme Scale.
SIAM J. Sci. Comput., 2021

Mittag-Leffler Functions and their Applications in Network Science.
SIAM J. Matrix Anal. Appl., 2021

Regularization of inverse problems by an approximate matrix-function technique.
Numer. Algorithms, 2021

Preconditioning Richards Equations: spectral analysis and parallel solution at very large scale.
CoRR, 2021

Nonlocal diffusion of variable order on graphs.
CoRR, 2021

Compatibility, embedding and regularization of non-local random walks on graphs.
CoRR, 2021

2020
Computing functions of very large matrices with small TT/QTT ranks by quadrature formulas.
J. Comput. Appl. Math., 2020

Nonlocal PageRank.
CoRR, 2020

On the quality of matching-based aggregates for algebraic coarsening of SPD matrices in AMG.
CoRR, 2020

Non-local network dynamics via fractional graph Laplacians.
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

Fractional dynamics on directed networks.
CoRR, 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

Computing Function of Large Matrices by a Preconditioned Rational Krylov Method.
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
Interpolating preconditioners for the solution of sequence of linear systems.
Comput. Math. Appl., 2016


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