Name: Fabio Durastante
Type: User
Company: Dipartimento di Matematica, Università di Pisa
Bio: I work in the Math Department of the University of Pisa. Researcher in Scientific Parallel Computing, Matrix Computations, and Applied Mathematics.
Twitter: CirdansHome
Location: Pisa
Blog: http:/fdurastante.github.io
Fabio Durastante's Projects
Material for the course "Iterative Methods For Large-Scale Saddle-Point Problems"
Bootstrap AMG based on Compatible weighted Matching
Beamer Theme for the Mathematics Departmente of the University of Pisa
Finite Element Course
FENaPack - FEniCS Navier-Stokes preconditioning package
iFEM is a MATLAB software package containing robust, efficient, and easy-following codes for the main building blocks of adaptive finite element methods on unstructured simplicial grids in both two and three dimensions.
Calcolo Numerico - Laurea Magistrale in Ingegneria Meccanica e dei Veicoli - Esercitazioni
Esercitazioni di Calcolo Numerico per Ingegneria dell'Energia
A Short Introduction to Parallel Computing
Iterative Regularization with Matrix Functions (Matlab)
Computation of Kemeny's constant using censored Markov Chains
KINSOL library with PSBLAS linear solvers
Easy link prediction tool
Efficient computation of the Wright function on the real line
Matlab codes for the NonLocalPageRank Algorithm
The fundamental package for scientific computing with Python.
Error analysis and computation of the matrix Logarithm with some Padè approximation
Python Code for Parallel BVM
Test for the Polynomial Smoothers in AMG4PSBLAS
Python Simulation Tool for Fractured and Deformable Porous Media
Matrix function for PSBLAS
Algorithms for the approximation of an embedding for Markov chains.
Rational Krylov Methods for the Integration of Second Order Differential Equations and for the computation of the sinc function
Numerical recipes for environmental sciences with MATLAB
Numerical recipes for environmental sciences with MATLAB (2024)
Il menù della classica serata Hamburger
BLAS like operation for structured matrices