10 citations · 10 across the 4 of their papers we have counts for
4 papers
Evaluating Rust for Sparse Matrix Kernels in Scientific Computing
Luca Lombardo, Fabio Durastante
Sparse matrix kernels form the computational backbone of scientific computing, traditionally relying on C/C++ and Fortran implementations that prioritize performance over memory sa…
Low-Rank Solvers for Energy-Conserving Hamiltonian Boundary Value Methods
Fabio Durastante, Mariarosa Mazza
We study energy-conserving Hamiltonian Boundary Value Methods (HBVMs) for Hamiltonian systems, which arise in applications where long-term preservation of energy and symplecticity…
Stage-Parallel Implicit Runge--Kutta methods via low-rank matrix equation corrections
Fabio Durastante, Mariarosa Mazza
Implicit Runge--Kutta (IRK) methods are highly effective for solving stiff ordinary differential equations (ODEs) but can be computationally expensive for large-scale problems due…
Compatibility, embedding and regularization of non-local random walks on graphs
Davide Bianchi, Marco Donatelli, Fabio Durastante +1
Several variants of the graph Laplacian have been introduced to model non-local diffusion processes, which allow a random walker to {\textquotedblleft jump\textquotedblright} to no…