Fabio Durastante
Fabio Durastante
Junior Researcher (RTDa), UniversitÓ di Pisa, Dipartimento di Matematica
Email verificata su unipi.it - Home page
Citata da
Citata da
Iterative methods and preconditioning for large and sparse linear systems with applications
D Bertaccini, F Durastante
CRC Press, 2018
Solving mixed classical and fractional partial differential equations using short–memory principle and approximate inverses
D Bertaccini, F Durastante
Numerical Algorithms 74 (4), 1061-1082, 2017
Block structured preconditioners in tensor form for the all-at-once solution of a finite volume fractional diffusion equation
D Bertaccini, F Durastante
Applied Mathematics Letters 95, 92-97, 2019
Limited memory block preconditioners for fast solution of fractional partial differential equations
D Bertaccini, F Durastante
Journal of Scientific Computing 77 (2), 950-970, 2018
Optimizing a multigrid Runge–Kutta smoother for variable-coefficient convection–diffusion equations
D Bertaccini, M Donatelli, F Durastante, S Serra-Capizzano
Linear Algebra and its Applications 533, 507-535, 2017
Interpolating preconditioners for the solution of sequence of linear systems
D Bertaccini, F Durastante
Computers & Mathematics with Applications 72 (4), 1118-1130, 2016
Non-local network dynamics via fractional graph Laplacians
M Benzi, D Bertaccini, F Durastante, I Simunec
Journal of Complex Networks 8 (3), cnaa017, 2020
Rational Krylov methods for functions of matrices with applications to fractional partial differential equations
L Aceto, D Bertaccini, F Durastante, P Novati
Journal of Computational Physics 396, 470-482, 2019
Fractional PDE constrained optimization: An optimize-then-discretize approach with L-BFGS and approximate inverse preconditioning
S Cipolla, F Durastante
Applied Numerical Mathematics 123, 43-57, 2018
Nonlocal pagerank
S Cipolla, F Durastante, F Tudisco
arXiv preprint arXiv:2001.10421, 2020
Interpolant Update of Preconditioners for Sequences of Large Linear Systems
F Durastante
Mathematical Methods, Computational Techniques and Intelligent Systemsá…, 2015
Regularizing properties of a class of matrices including the optimal and the superoptimal preconditioners
S Cipolla, C Di Fiore, F Durastante, P Zellini
Numerical Linear Algebra with Applications 26 (2), e2225, 2019
Fractional PDE constrained optimization: box and sparse constrained problems
F Durastante, S Cipolla
Numerical Methods for Optimal Control Problems, 111-135, 2018
Efficient approximation of functions of some large matrices by partial fraction expansions
D Bertaccini, M Popolizio, F Durastante
International Journal of Computer Mathematics 96 (9), 1799-1817, 2019
Mittag-Leffler functions and their applications in network science
F Arrigo, F Durastante
arXiv preprint arXiv:2103.12559, 2021
AMG preconditioners for linear solvers towards extreme scale
P D'Ambra, F Durastante, S Filippone
SIAM Journal on Scientific Computing, S679-S703, 2021
Regularization of inverse problems by an approximate matrix-function technique
S Cipolla, M Donatelli, F Durastante
Numerical Algorithms, 1-34, 2021
Computing Function of Large Matrices by a Preconditioned Rational Krylov Method
D Bertaccini, F Durastante
Numerical Mathematics and Advanced Applications ENUMATH 2019, 343-351, 2021
Computing functions of very large matrices with small TT/QTT ranks by quadrature formulas
D Bertaccini, F Durastante
Journal of Computational and Applied Mathematics 370, 112663, 2020
Evaluating visibility at sea: Instrumental data and historical nautical records. Mount Etna from the Calabrian Ionian coast (Italy)
CM Mauro, F Durastante
The Journal of Island and Coastal Archaeology, 1-22, 2020
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20