Lorenzo Tamellini

Orcid: 0000-0002-8008-0359

According to our database1, Lorenzo Tamellini authored at least 22 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
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., March, 2024

Two Nitsche-based mixed finite element discretizations for the seepage problem in Richards' equation.
CoRR, 2024

Democratizing Uncertainty Quantification.
CoRR, 2024

2023
Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance.
Eng. Comput., 2023

Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing.
CoRR, 2023

Lowering the Entry Bar to HPC-Scale Uncertainty Quantification.
CoRR, 2023

2022
On the Convergence of Adaptive Stochastic Collocation for Elliptic Partial Differential Equations with Affine Diffusion.
SIAM J. Numer. Anal., 2022

Uncertainty quantification in timber-like beams using sparse grids: theory and examples with off-the-shelf software utilization.
CoRR, 2022

Combining noisy well data and expert knowledge in a Bayesian calibration of a flow model under uncertainties: an application to solute transport in the Ticino basin.
CoRR, 2022

Inverse and forward sparse-grids-based uncertainty quantification analysis of laser-based powder bed fusion of metals.
CoRR, 2022

Combining the Morris Method and Multiple Error Metrics to Assess Aquifer Characteristics and Recharge in the Lower Ticino Basin, in Italy.
CoRR, 2022

The Sparse Grids Matlab kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification.
CoRR, 2022

2020
Computational Approaches for Uncertainty Quantification of Naval Engineering Problems.
ERCIM News, 2020

Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison.
CoRR, 2020

Compressive isogeometric analysis.
Comput. Math. Appl., 2020

2019
Parametric shape optimization for combined additive-subtractive manufacturing.
CoRR, 2019

On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs.
CoRR, 2019

2018
Convergence of Sparse Collocation for Functions of Countably Many Gaussian Random Variables (with Application to Elliptic PDEs).
SIAM J. Numer. Anal., 2018

2016
Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs.
Numerische Mathematik, 2016

Multi-index Stochastic Collocation Convergence Rates for Random PDEs with Parametric Regularity.
Found. Comput. Math., 2016

2014
Model Reduction Based on Proper Generalized Decomposition for the Stochastic Steady Incompressible Navier-Stokes Equations.
SIAM J. Sci. Comput., 2014

Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients.
Comput. Math. Appl., 2014


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