Durastante Fabio
THEORETICAL AND APPLIED SCIENCES DEPARTMENT
Insubria University
Italy
Biography
Education 2004–2009 L.S.S. E. Torricelli, Rome High school 100/100 Cum Laude. Diploma 2009–2012 Universita di Roma Tor Vergata ` Bachelor Degree Mathematics, 104/110 2012–2014 Universita di Roma Tor Vergata ` Master Degree Mathematics, 110/110 Cum Laude. Master Thesis: “Update of preconditioners for sequences of large linear systems” – Supervisor: Prof. D. Bertaccini. 2014–2017 Universita degli Studi dell’Insubria ` Ph.D. Program in Computer Science and Computational Mathematics – XXX Cycle; Estimated date of completion: December 2017.
Research Interest
Numerical Linear Algebra Methods of Iterative (Krylov Methods) Preconditioning and updating of preconditioners Matrix Functions Spectral Analysis modeling Discrete PDE (FEM, FDM, IgA) Numerical Methods for Fractional Calculation Programming and Development GPU Acceleration for Scientific Computing Software.
Publications
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D. Bertaccini and F. Durastante (2017). “Solving mixed classical and fractional partial differential equations using short-memory principle and approximate inversesâ€. Numerical Algorithms, 74(4), 10611082.
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D. Bertaccini and F. Durastante (2016). “Interpolating preconditioners for the solution of sequence of linear systemsâ€. In: Computers & Mathematics with Applications 72.4, pp. 11181130.
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Durastante, F. Interpolant Update of Preconditioners for Sequences of Large Linear Systems, Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS 15), (41), pg. 4047, WSEAS Press (2015).
