Chiara Piazzola

According to our database, Chiara Piazzola authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Algorithm 1040: The Sparse Grids Matlab Kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification.

Chiara Piazzola, Lorenzo Tamellini

ACM Trans. Math. Softw., March, 2024

Input-output reduced order modeling for public health intervention evaluation.

Alex Viguerie, Chiara Piazzola, Md Hafizul Islam, Evin Uzun Jacobson

CoRR, 2024

Uncertainty quantification analysis of bifurcations of the Allen-Cahn equation with random coefficients.

Christian Kuehn, Chiara Piazzola, Elisabeth Ullmann

CoRR, 2024

2023

Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance.

Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez

Eng. Comput., 2023

Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing.

Mihaela Chiappetta, Chiara Piazzola, Lorenzo Tamellini, Alessandro Reali, Ferdinando Auricchio, Massimo Carraturo

CoRR, 2023

2022

Inverse and forward sparse-grids-based uncertainty quantification analysis of laser-based powder bed fusion of metals.

Mihaela Chiappetta, Chiara Piazzola, Massimo Carraturo, Lorenzo Tamellini, Alessandro Reali, Ferdinando Auricchio

CoRR, 2022

The Sparse Grids Matlab kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification.

Chiara Piazzola, Lorenzo Tamellini

CoRR, 2022

2020

A low-rank projector-splitting integrator for the Vlasov-Maxwell equations with divergence correction.

Lukas Einkemmer, Alexander Ostermann, Chiara Piazzola

J. Comput. Phys., 2020

Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison.

Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez

CoRR, 2020

2019

Convergence of a Low-Rank Lie-Trotter Splitting for Stiff Matrix Differential Equations.

Alexander Ostermann, Chiara Piazzola, Hanna Walach

SIAM J. Numer. Anal., 2019

2018

Numerical low-rank approximation of matrix differential equations.

Hermann Mena, Alexander Ostermann, Lena-Maria Pfurtscheller, Chiara Piazzola

J. Comput. Appl. Math., 2018

2017

A splitting approach for the magnetic Schrödinger equation.

Marco Caliari, Alexander Ostermann, Chiara Piazzola

J. Comput. Appl. Math., 2017