Chiara Piazzola

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Affinity Matrix

Image Brightness

Function Approximation

Low Rank Approximation

Top Venues

J. Comput. Appl. Math.

J. Comput. Phys.

SIAM J. Numer. Anal.

Publications

Chiara Piazzola, Lorenzo Tamellini
Algorithm 1040: The Sparse Grids Matlab Kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification. ACM Trans. Math. Softw. 50 (1) (2024)
Christian Kuehn, Chiara Piazzola, Elisabeth Ullmann
Uncertainty quantification analysis of bifurcations of the Allen-Cahn equation with random coefficients. CoRR (2024)
Alex Viguerie, Chiara Piazzola, Md Hafizul Islam, Evin Uzun Jacobson
Input-output reduced order modeling for public health intervention evaluation. CoRR (2024)
Mihaela Chiappetta, Chiara Piazzola, Lorenzo Tamellini, Alessandro Reali, Ferdinando Auricchio, Massimo Carraturo
Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing. CoRR (2023)
Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez
Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance. Eng. Comput. 39 (3) (2023)
Chiara Piazzola, Lorenzo Tamellini
The Sparse Grids Matlab kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification. CoRR (2022)
Mihaela Chiappetta, Chiara Piazzola, Massimo Carraturo, Lorenzo Tamellini, Alessandro Reali, Ferdinando Auricchio
Inverse and forward sparse-grids-based uncertainty quantification analysis of laser-based powder bed fusion of metals. CoRR (2022)
Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez
Comparing Multi-Index Stochastic Collocation and Multi-Fidelity Stochastic Radial Basis Functions for Forward Uncertainty Quantification of Ship Resistance. CoRR (2021)
Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez
Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison. CoRR (2020)
Lukas Einkemmer, Alexander Ostermann, Chiara Piazzola
A low-rank projector-splitting integrator for the Vlasov-Maxwell equations with divergence correction. J. Comput. Phys. 403 (2020)
Alexander Ostermann, Chiara Piazzola, Hanna Walach
Convergence of a Low-Rank Lie-Trotter Splitting for Stiff Matrix Differential Equations. SIAM J. Numer. Anal. 57 (4) (2019)
Hermann Mena, Alexander Ostermann, Lena-Maria Pfurtscheller, Chiara Piazzola
Numerical low-rank approximation of matrix differential equations. J. Comput. Appl. Math. 340 (2018)
Marco Caliari, Alexander Ostermann, Chiara Piazzola
A splitting approach for the magnetic Schrödinger equation. J. Comput. Appl. Math. 316 (2017)